CRISPR-based functional genomics for neurological disease
Open accessAbstract
Neurodegenerative, neurodevelopmental and neuropsychiatric disorders are among the greatest public health challenges, as many lack disease-modifying treatments. A major reason for the absence of effective therapies is our limited understanding of the causative molecular and cellular mechanisms. Genome-wide association studies are providing a growing catalogue of disease-associated genetic variants, and the next challenge is to elucidate how these variants cause disease and to translate this understanding into therapies. This Review describes how new CRISPR-based functional genomics approaches can uncover disease mechanisms and therapeutic targets in neurological diseases. The bacterial CRISPR system can be used in experimental disease models to edit genomes and to control gene expression levels through CRISPR interference (CRISPRi) and CRISPR activation (CRISPRa). These genetic perturbations can be implemented in massively parallel genetic screens to evaluate the functional consequences for human cells. CRISPR screens are particularly powerful in combination with induced pluripotent stem cell technology, which enables the derivation of differentiated cell types, such as neurons and glia, and brain organoids from cells obtained from patients. Modelling of disease-associated changes in gene expression via CRISPRi and CRISPRa can pinpoint causal changes. In addition, genetic modifier screens can be used to elucidate disease mechanisms and causal determinants of cell type-selective vulnerability and to identify therapeutic targets.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 107 cited sources checked · 0 supported · 0 flagged
- Findingnone given
The mechanisms underlying APOE ε4 interactions with sex and ethnicity are not understood.
“The underlying mechanisms are not understood.”
Quote in the paperNot a substantial claim - Findingcitation
An arrayed longitudinal imaging screen revealed effects of gene knockdown on neuron-specific morphology, such as neurite length and branching, which could not be assessed in other cell types.
“Third, an arrayed longitudinal imaging screens uncovered consequences of gene knockdown for neuron-specific morphological features, such as neurite length and branching patterns76, which could not have been evaluated in other cell types.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [76] Potting, C. et al. Genome-wide CRISPR screen for PARKIN regulators reveals transcriptional repression as a determinant of mitophagy. Proc. Natl Acad. Sci. USA 115, E180–E189 (2018). source
Not checked in the free run.
- Findingcitation
The paper reports the first large-scale CRISPR screens performed in human iPSC-derived neurons.
“Recently, we implemented large-scale CRISPR-based genetic screens for the first time in a human iPSC-derived differentiated cell type, namely neurons76.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [76] Potting, C. et al. Genome-wide CRISPR screen for PARKIN regulators reveals transcriptional repression as a determinant of mitophagy. Proc. Natl Acad. Sci. USA 115, E180–E189 (2018). source
Not checked in the free run.
- Findingcitation
Housekeeping genes needed for survival in both iPSCs and neurons may have different functions in the two cell types, as their knockdown produced very different transcriptomic effects.
“Second, housekeeping genes that were essential for survival of both iPSCs and neurons may play different roles in the two cell types, based on vastly different transcriptomic consequences of their knockdown76.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [76] Potting, C. et al. Genome-wide CRISPR screen for PARKIN regulators reveals transcriptional repression as a determinant of mitophagy. Proc. Natl Acad. Sci. USA 115, E180–E189 (2018). source
Not checked in the free run.
- Findingcitation
The screen identified MAP3K12/DLK, a known regulator of neuronal death.
“CRISPR screening recovered a previously known key regulator of neuronal cell death, MAP3K12/DLK76.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [76] Potting, C. et al. Genome-wide CRISPR screen for PARKIN regulators reveals transcriptional repression as a determinant of mitophagy. Proc. Natl Acad. Sci. USA 115, E180–E189 (2018). source
Not checked in the free run.
- Findingcitation
The genes that controlled neuronal survival differed from those controlling survival of cancer cells or iPSCs.
“First, the set of genes controlling survival of neurons were distinct from those controlling cancer cell or iPSC survival.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [76] Potting, C. et al. Genome-wide CRISPR screen for PARKIN regulators reveals transcriptional repression as a determinant of mitophagy. Proc. Natl Acad. Sci. USA 115, E180–E189 (2018). source
Not checked in the free run.
- Premisecitation
Precise genome editing based on zinc finger nucleases, TALENs, or CRISPR was successfully implemented in nonhuman primates.
“More recently, precise genome editing techniques based on zinc finger nucleases, transcription activator-like endonucleases (TALENs) or CRISPR were successfully implemented in nonhuman primates26–28”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [26] Niu, Y. et al. Generation of gene-modified cynomolgus monkey via Cas9/RNA-mediated gene targeting in one-cell embryos. Cell 156, 836–843 (2014). source
Not checked in the free run.
- cites [27] Liu, H. et al. TALEN-mediated gene mutagenesis in rhesus and cynomolgus monkeys. Cell Stem Cell 14, 323–328 (2014). source
Not checked in the free run.
- cites [28] Sato, K. et al. Generation of a nonhuman primate model of severe combined immunodeficiency using highly efficient genome editing. Cell Stem Cell 19, 127–138 (2016). source
Not checked in the free run.
- Premisecitation
Variants in enhancers can have cell-type-specific effects on gene expression, as shown by Alzheimer's disease variants that affect BIN1 expression specifically in microglia but not in neurons or astrocytes.
“Intriguingly, variants in enhancers can exert cell-type specific effects on gene expression, as exemplified by Alzheimer’s Disease variants that affect BIN1 expression specifically in microglia, but not neurons or astrocytes5.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [5] Nott, A. et al. Brain cell type-specific enhancer-promoter interactome maps and disease-risk association. Science 366, 1134–1139 (2019). source
Not checked in the free run.
- Premisecitation
Elucidating how genetic variants and non-genetic risk factors cause neurological disease remains a formidable challenge.
“Despite the major advances in identifying human genetic variants linked to neurological disease, the elucidation of the mechanisms by which these variants – as well as non-genetic risk factors – cause disease remains a formidable challenge1.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] Gallagher, M. D. & Chen-Plotkin, A. S. The post-GWAS era: from association to function. Am. J. Hum. Genet. 102, 717–730 (2018). source
Not checked in the free run.
- Premisecitation
An Alzheimer's disease risk locus initially attributed to CELF1 was later shown to affect expression of the myeloid lineage transcription factor SPI1/PU.1.
“For example, an Alzheimer’s Disease risk locus initially attributed to the CELF1 gene was later shown to affect expression of the myeloid lineage transcription factor SPI1/PU.14.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [4] Huang, K. L. et al. A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer’s disease. Nat. Neurosci. 20, 1052–1061 (2017). source
Not checked in the free run.
- Premisecitation
Aged nonhuman primates can naturally develop symptoms reminiscent of human Alzheimer's disease, including cognitive and memory deficits and Aβ plaques.
“aged nonhuman primates can naturally develop symptoms reminiscent of human Alzheimer’s Disease (including cognitive and memory deficits and Aβ plaques23)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Price, D. L. et al. Aged non-human primates: an animal model of age-associated neurodegenerative disease. Brain Pathol. 1, 287–296 (1991). source
Not checked in the free run.
- Premisecitation
Regulation of disease-relevant genes can differ substantially between mice and humans.
“Regulation of disease-relevant genes can differ substantially between mice and humans22.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] Maloney, B., Ge, Y. W., Alley, G. M. & Lahiri, D. K. Important differences between human and mouse APOE gene promoters: limitation of mouse APOE model in studying Alzheimer’s disease. J. Neurochem. 103, 1237–1257 (2007). source
Not checked in the free run.
- Interpretationreasoning
Reporting the nearest coding gene when a new risk variant is identified does not necessarily identify the disease-relevant gene.
“While the nearest coding gene is often reported when a new risk variant is identified, this approach does not necessarily name the disease-relevant gene.”
Quote in the paperSubstantial claim - Premisecitation
The APOE ε4 variant has a differential disease association in different ethnic groups.
“and a differential disease association in different ethnic groups13.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] Tang, M. X. et al. Relative risk of Alzheimer disease and age-at-onset distributions, based on APOE genotypes among elderly African Americans, Caucasians, and Hispanics in New York City. Am. J. Hum. Genet. 58, 574–584 (1996).
Not checked in the free run.
- Interpretationreasoning
Pinpointing the disease-relevant genes affected by a non-coding risk variant is challenging.
“However, it is challenging to pinpoint the disease-relevant genes affected by a risk variant.”
Quote in the paperSubstantial claim- Rests on an assumption: Many GWAS risk variants are located outside coding regions and are typically thought to affect expression of one or several coding genes.
- Premisecitation
The APOE ε4 variant has a significantly stronger effect on Alzheimer's disease risk in women than in men.
“the APOE ε4 variant, which is the most common genetic risk factor for Alzheimer’s Disease, has a significantly stronger effect on disease risk in women than in men11,12”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
SOD1 mutations associated with amyotrophic lateral sclerosis affect not only motor neurons but also non-neuronal cells in ways that promote neurodegeneration.
“Studies in disease models have shown that mutations in SOD1 associated with amyotrophic lateral sclerosis affect not only motor neurons, but also non-neuronal cells in ways that promote neurodegeneration8”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [8] Yamanaka, K. et al. Mutant SOD1 in cell types other than motor neurons and oligodendrocytes accelerates onset of disease in ALS mice. Proc. Natl Acad. Sci. USA 105, 7594–7599 (2008). source
Not checked in the free run.
- Premisecitation
There are differences between disease-relevant cell types such as neurons and glia between humans and mice.
“First, there are differences between disease-relevant cell types, such as neurons and glia, between humans and mice.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [18] Burbulla, L. F. et al. Dopamine oxidation mediates mitochondrial and lysosomal dysfunction in Parkinson’s disease. Science 357, 1255–1261 (2017). source
Not checked in the free run.
- cites [10] Seeley, W. W. et al. Early frontotemporal dementia targets neurons unique to apes and humans. Ann. Neurol. 60, 660–667 (2006). source
Not checked in the free run.
- cites [19] Gosselin, D. et al. An environment-dependent transcriptional network specifies human microglia identity. Science 356, eaal3222 (2017). source
Not checked in the free run.
- cites [20] Friedman, B. A. et al. Diverse brain myeloid expression profiles reveal distinct microglial activation states and aspects of Alzheimer’s disease not evident in mouse models. Cell Rep. 22, 832–847 (2018). source
Not checked in the free run.
- Interpretationreasoning
Because human post-mortem brain tissue is short-lived and non-expandable, studies are generally correlative, since experimental perturbations that establish causality are rarely feasible.
“Due to the short-lived and non-expandable nature of human post-mortem brain tissue, studies are generally correlative, since experimental perturbations that establish causality are rarely feasible.”
Quote in the paperSubstantial claim- Rests on an assumption: Biopsies of the relevant nervous system tissues are generally not possible, so studies rely on post-mortem tissue.
- Premisecitation
Lentiviral delivery of a transgene that was transmitted through the germline in marmosets was an important breakthrough for genetically engineered nonhuman primate disease models.
“An important breakthrough paving the way for genetically engineered disease models in nonhuman primates was the lentiviral delivery of a transgene that was then transmitted through the germline in marmosets25.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Sasaki, E. et al. Generation of transgenic non-human primates with germline transmission. Nature 459, 523–527 (2009). source
Not checked in the free run.
- Premisecitation
The von Economo neuron, which is selectively vulnerable in frontotemporal dementia, does not exist in mice.
“the type of human neuron identified as selectively vulnerable in frontotemporal dementia, the von Economo neuron, does not exist in mice10.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10] Seeley, W. W. et al. Early frontotemporal dementia targets neurons unique to apes and humans. Ann. Neurol. 60, 660–667 (2006). source
Not checked in the free run.
- Premisecitation
Aged nonhuman primates can naturally develop symptoms reminiscent of human Parkinson's disease, including dysfunction of the nigrostriatal system and motor impairments.
“and Parkinson’s Disease (including dysfunction of the nigrostriatal system and motor impairments24).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Emborg, M. E. et al. Age-related declines in nigral neuronal function correlate with motor impairments in rhesus monkeys. J. Comp. Neurol. 401, 253–265 (1998). source
Not checked in the free run.
- Interpretationreasoning
Combining CRISPR-based functional genomics with human iPSC-derived disease models offers a new approach to systematically uncover disease mechanisms and therapeutic targets for neurological disorders.
“This review outlines current challenges and presents how the marriage of two recently developed technologies, CRISPR-based functional genomics and human iPSC-derived disease models, provides a new approach to systematically elucidate disease mechanisms and therapeutic targets for neurological disorders.”
Quote in the paperSubstantial claim - Premisecitation
The APOE ε4 variant associated with increased Alzheimer's disease risk causes functional changes in neurons, astrocytes, and microglia.
“and that the APOE ε4 variant associated with increased risk of Alzheimer’s Disease causes functional changes in neurons, astrocytes and microglia9.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] Lin, Y. T. et al. APOE4 causes widespread molecular and cellular alterations associated with Alzheimer’s disease phenotypes in human iPSC-derived brain cell types. Neuron 98, 1141–1154 (2018). source
Not checked in the free run.
- Interpretationreasoning
Deconvoluting the contributions of different cell types and their interactions to neurological disease is a major challenge.
“A major challenge is to deconvolute the contributions of different cell types and their interactions to disease.”
Quote in the paperSubstantial claim - Premisecitation
Functional studies that reveal how risk variants contribute to disease lag far behind the rapidly growing catalogue of genetic risk variants.
“While the catalogue of such risk variants is growing rapidly, functional studies that uncover how these variants contribute to disease are lagging far behind1–3.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [1] Gallagher, M. D. & Chen-Plotkin, A. S. The post-GWAS era: from association to function. Am. J. Hum. Genet. 102, 717–730 (2018). source
Not checked in the free run.
- cites [2] Claussnitzer, M. et al. A brief history of human disease genetics. Nature 577, 179–189 (2020). source
Not checked in the free run.
- cites [3] Pimenova, A. A., Raj, T. & Goate, A. M. Untangling genetic risk for Alzheimer’s disease. Biol. Psychiatry 83, 300–310 (2018). source
Not checked in the free run.
- Premisecitation
Human pluripotent stem cells can be differentiated into three-dimensional cultures that recapitulate features of the human cortex, called brain organoids.
“Human pluripotent stem cells can also be differentiated into three-dimensional cultures recapitulating features of the human cortex93, termed brain organoids”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [93] Cruchaga, C. et al. Association of TMEM106B gene polymorphism with age at onset in granulin mutation carriers and plasma granulin protein levels. Arch. Neurol. 68, 581–586 (2011).
Not checked in the free run.
- Premisecitation
Primary human cell types such as skin fibroblasts or blood cells can be reprogrammed into iPSCs by transient expression of four transcription factors, including the Yamanaka factors.
“Primary cell types readily obtained from human adult donors, such as skin fibroblasts or peripheral blood cells, can be reprogrammed to become induced pluripotent stem cells (iPSCs) by the transient expression of four transcription factors, such as the so-called “Yamanaka factors”89,90”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [89] Horlbeck, M. A. et al. Mapping the genetic landscape of human cells. Cell 174, 953–967 (2018). source
Not checked in the free run.
- cites [90] Norman, T. M. et al. Exploring genetic interaction manifolds constructed from rich single-cell phenotypes. Science 365, 786–793 (2019). source
Not checked in the free run.
- Interpretationown data
The findings from these initial screens in iPSC-derived neurons supported the value of performing CRISPR screens in relevant cell types.
“Several findings from these first screens in iPSC-derived neurons supported the importance of conducting CRISPR screens in relevant cell types.”
Quote in the paperSubstantial claim - Premisenone given
Most published CRISPR screens, including those on neurological disease processes, have used cancer cell lines.
“The majority of CRISPR screens published to date, including those investigating processes relevant to neurological disease, were conducted in cancer cell lines.”
Quote in the paperNot a substantial claim - Premisereasoning
Some cellular phenotypes cannot be studied with pooled strategies.
“Despite the broad utility of pooled screens, there are cellular phenotypes that cannot be interrogated using pooled strategies.”
Quote in the paperSubstantial claim - Premisereasoning
The main drawback of arrayed screens is that they need arrayed sgRNA libraries and automated platforms for high-throughput phenotype measurement.
“The most significant disadvantage of arrayed screening approaches is that they require the generation and delivery of arrayed sgRNA libraries and automated platforms for high-throughput measurement of the phenotypes of interest.”
Quote in the paperNot a substantial claim- Rests on an assumption: Most academic laboratories lack the resources to perform large-scale arrayed screens.
- Premisereasoning
Phenotypes incompatible with pooled screens can be studied in arrayed screens.
“Phenotypes that are not compatible with pooled screens can be investigated in arrayed screens, for which sgRNAs targeting different genes are delivered separately to cells in different wells of a multi-well plate”
Quote in the paperNot a substantial claim - Premisecitation
Pooled CRISPR screens can be combined with single-cell RNA sequencing to give high-dimensional readouts of gene perturbation effects.
“While screens based on survival or FACS monitor low-dimensional phenotypes, pooled CRISPR screens can also be coupled to single-cell RNA sequencing to provide high-dimensional readouts of the effects of gene perturbation72–75”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [72] Rauch, J. N. et al. LRP1 is a master regulator of tau uptake and spread. Nature 580, 381–385 (2020). source
Not checked in the free run.
- cites [73] Chen, J. J. et al. Compromised function of the ESCRT pathway promotes endolysosomal escape of tau seeds and propagation of tau aggregation. J. Biol. Chem. 294, 18952–18966 (2019). source
Not checked in the free run.
- cites [74] Rousseaux, M. W. C. et al. A druggable genome screen identifies modifiers of α-synuclein levels via a tiered cross-species validation approach. J. Neurosci. 38, 9286–9301 (2018). source
Not checked in the free run.
- cites [75] Vazquez-Velez, G. E. et al. Doublecortin-like kinase 1 regulates α-synuclein levels and toxicity. J. Neurosci. 40, 459–477 (2020). source
Not checked in the free run.
- Premisecitation
Pooled optical screens can assess complex morphological phenotypes that FACS cannot detect but fluorescence microscopy can.
“Complex morphological phenotypes that cannot be detected by FACS, but are apparent by fluorescence microscopy, can be evaluated in pooled optical screens78,79.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [78] Jaitin, D. A. et al. Dissecting immune circuits by linking CRISPR-pooled screens with single-cell RNA-seq. Cell 167, 1883–1896 (2016). source
Not checked in the free run.
- cites [79] Dixit, A. et al. Perturb-seq: dissecting molecular circuits with scalable single-cell RNA profiling of pooled genetic screens. Cell 167, 1853–1866 (2016). source
Not checked in the free run.
- Premisecitation
A simple two-component system of Streptococcus pyogenes Cas9 bound to a single guide RNA can function as a programmable nuclease that can cleave specific sequences in mammalian genomes.
“The discovery, made less than 10 years ago, that a simple two-component system of a Cas protein (Streptococcus pyogenes Cas9) bound to a single guide RNA (sgRNA) can function as a programmable nuclease33 that can be deployed to cleave specific sequences in mammalian genomes34,35 has been transformative for biomedical research and the development of gene therapies.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [33] Jinek, M. et al. A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity. Science 337, 816–821 (2012). This study demonstrates site-specific DNA cleavage by a complex of Cas9 and guide RNAs. source
Not checked in the free run.
- cites [34] Cong, L. et al. Multiplex genome engineering using CRISPR/Cas systems. Science 339, 819–823 (2013). source
Not checked in the free run.
- cites [35] Mali, P. et al. RNA-guided human genome engineering via Cas9. Science 339, 823–826 (2013). Together with Cong et al. (2013), this study demonstrates the use of CRISPR–Cas9-based genome engineering in human cells. source
Not checked in the free run.
- Premisereasoning
Non-cell autonomous phenotypes, where the readout is not physically linked to the perturbed cell, are the clearest category of phenotypes that pooled strategies cannot interrogate.
“The most obvious category of such phenotypes are non-cell autonomous phenotypes, in which the relevant phenotype readout is not physically coupled to the cell in which a gene is perturbed.”
Quote in the paperSubstantial claim - Premisecitation
Genes controlling sensitivity to toxic dipeptide repeats in cancer cells showed little correlation with those in primary neurons.
“As a case in point, there was little correlation between genes found to control sensitivity to toxic dipeptide repeats in cancer cells versus primary neurons63.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [63] Shalem, O. et al. Genome-scale CRISPR-Cas9 knockout screening in human cells. Science 343, 84–87 (2014). source
Not checked in the free run.
- Premisecitation
Human genetics has successfully identified genetic modifiers for neurodegeneration, such as RAB10 for APOE in Alzheimer's disease and TMEM106B for GRN in frontotemporal dementia.
“Genetic modifiers for neurodegeneration have been identified successfully through human genetics, such as RAB10 for APOE65 in Alzheimer’s Disease (variants in the RAB10 locus are linked to resilience in individuals carrying the high-risk APOE ε4 allele85), and TMEM106B for GRN66, 67 in frontotemporal dementia (SNPs affecting TMEM106B expression are protective in carriers of disease-associated GRN”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [65] Hanna, R. E. et al. Massively parallel assessment of human variants with base editor screens. Preprint at bioRxiv https://doi.org/10.1101/2020.05.17.100818 (2020). source
Not checked in the free run.
- cites [85] Feldman, D. et al. Optical pooled screens in human cells. Cell 179, 787–799 (2019). source
Not checked in the free run.
- cites [86] Wang, C., Lu, T., Emanuel, G., Babcock, H. P. & Zhuang, X. Imaging-based pooled CRISPR screening reveals regulators of lncRNA localization. Proc. Natl Acad. Sci. USA 116, 10842–10851 (2019). source
Not checked in the free run.
- cites [87] Bassik, M. C. et al. A systematic mammalian genetic interaction map reveals pathways underlying ricin susceptibility. Cell 152, 909–922 (2013). source
Not checked in the free run.
- Interpretationnone given
Human genetics is probably currently underpowered to find many relevant genetic interactions.
“However, this approach is likely to be currently underpowered to identify many relevant genetic interactions.”
Quote in the paperNot a substantial claim - Premisereasoning
iPSCs can be expanded and differentiated into many cell types, including neuronal subtypes and glia.
“Such induced pluripotent stem cells (iPSCs) can be expanded and differentiated into a variety of cell types, including neuronal subtypes and glia, by protocols that mimic environmental developmental cues, or express specific transcription factors”
Quote in the paperSubstantial claim - Premisereasoning
Combinations of genes can be perturbed systematically to quantify genetic interactions and uncover functional relationships between gene products.
“it is possible to perturb combinations of genes in a systematic manner to quantify genetic interactions and discover functional relationships between gene products.”
Quote in the paperSubstantial claim- Rests on an assumption: Genes usually act in combination with other genes rather than in isolation.
- Premisecitation
Mouse models and single-cell/single-nuclear RNA sequencing of patient tissues have revealed disease-associated cell states, especially in microglia and astrocytes.
“Second, mouse models and single-cell and single-nuclear RNA sequencing of patient tissues have revealed disease-associated cell states, in particular of microglia20,113 and astrocytes114.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [20] Friedman, B. A. et al. Diverse brain myeloid expression profiles reveal distinct microglial activation states and aspects of Alzheimer’s disease not evident in mouse models. Cell Rep. 22, 832–847 (2018). source
Not checked in the free run.
- cites [113] Jiang, S. et al. Integrative system biology analyses of CRISPR-edited iPSC-derived neurons and human brains reveal deficiencies of presynaptic signaling in FTLD and PSP. Transl. Psychiatry 8, 265 (2018).
Not checked in the free run.
- cites [114] Kwart, D. et al. A large panel of isogenic APP and PSEN1 mutant human iPSC neurons reveals shared endosomal abnormalities mediated by APP β-CTFs, not Aβ. Neuron 104, 1022 (2019). source
Not checked in the free run.
- Interpretationreasoning
A well-designed modifier screen can reveal disease mechanisms and therapeutic targets at the same time.
“In fact, a well-designed modifier screen can simultaneously reveal disease mechanisms and therapeutic targets”
Quote in the paperSubstantial claim - Premisereasoning
CRISPRi/a can manipulate candidate gene expression individually or in combinations to assess cellular consequences.
“CRISPRi/a enables the manipulation of expression levels of candidate genes individually and in specific combinations in order to evaluate the consequences for cellular function”
Quote in the paperSubstantial claim - Premisecitation
This strategy was recently used to study schizophrenia-associated variants in iPSC-derived neurons.
“This strategy was recently implemented to analyze the effects of schizophrenia-associated variants on the function of iPSC-derived neurons112.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [112] Fong, H. et al. Genetic correction of tauopathy phenotypes in neurons derived from human induced pluripotent stem cells. Stem Cell Rep. 1, 226–234 (2013). source
Not checked in the free run.
- Interpretationreasoning
Selective vulnerabilities of neuronal subtypes are disease-specific.
“Hence, selective vulnerabilities of specific neuronal subtypes are disease-specific.”
Quote in the paperSubstantial claim - Premisecitation
CRISPRi partial knockdown allows functional characterization of essential genes.
“Partial knockdown of genes achieved by CRISPRi makes it possible to functionally characterize essential genes76.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [76] Potting, C. et al. Genome-wide CRISPR screen for PARKIN regulators reveals transcriptional repression as a determinant of mitophagy. Proc. Natl Acad. Sci. USA 115, E180–E189 (2018). source
Not checked in the free run.
- Premisecitation
iPSC-derived dopaminergic neurons recapitulate Parkinson's disease molecular processes in a dopamine-dependent manner.
“iPSC-derived dopaminergic neurons recapitulate molecular processes characteristic of Parkinson’s Disease, dependent on dopamine levels18.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18] Burbulla, L. F. et al. Dopamine oxidation mediates mitochondrial and lysosomal dysfunction in Parkinson’s disease. Science 357, 1255–1261 (2017). source
Not checked in the free run.
- Interpretationnone given
A challenge for robust cellular phenotypes distinguishing patient-derived iPSC cells from healthy donor cells is donor variability, compounded by variability from iPSC generation.
“A challenge in establishing robust cellular phenotypes that distinguish iPSC-derived cells from patients versus healthy donors is variability between donors, compounded by variability introduced during iPSC generation.”
Quote in the paperSubstantial claim - Premisecitation
iPSC-derived GABAergic neurons were selectively vulnerable to APOE ε4 expression associated with Alzheimer's disease.
“iPSC-derived GABAergic neurons were selectively vulnerable to expression of the e4 variant of APOE associated with Alzheimer’s Disease102.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [102] Brownjohn, P. W. et al. Functional studies of missense TREM2 mutations in human stem cell-derived microglia. Stem Cell Rep. 10, 1294–1307 (2018). source
Not checked in the free run.
- Premisecitation
Genetic screens can also identify mechanisms of action of new compounds from phenotypic screens.
“Importantly, genetic screens are also a strategy for the identification of the mechanisms of actions of novel compounds from phenotypic screens62.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [62] Koike-Yusa, H., Li, Y., Tan, E. P., Velasco-Herrera Mdel, C. & Yusa, K. Genome-wide recessive genetic screening in mammalian cells with a lentiviral CRISPR-guide RNA library. Nat. Biotechnol. 32, 267–273 (2014). source
Not checked in the free run.
- Premisecitation
Genome editing has enabled isogenic iPSC lines, in which a disease-associated variant is corrected in a patient line or introduced into a healthy donor line.
“Genome-editing technology has enabled a strategy to overcome these sources of variability: the generation of isogenic iPSC lines105, in which a disease-associated genetic variant is corrected in a patient line or introduced into a healthy donor line”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [105] Han, S. S., Williams, L. A. & Eggan, K. C. Constructing and deconstructing stem cell models of neurological disease. Neuron 70, 626–644 (2011). source
Not checked in the free run.
- Premisecitation
Identifying drug-gene interactions has been a very successful way to find drug mechanisms of action.
“Identification of such drug-gene interactions has been a highly successful strategy for the identification of drug mechanisms of action62.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [62] Koike-Yusa, H., Li, Y., Tan, E. P., Velasco-Herrera Mdel, C. & Yusa, K. Genome-wide recessive genetic screening in mammalian cells with a lentiviral CRISPR-guide RNA library. Nat. Biotechnol. 32, 267–273 (2014). source
Not checked in the free run.
- Premisecitation
Protocols using inducible transcription factor expression, especially from a genomic safe-harbor locus, can substantially reduce differentiation variability.
“A strategy that can substantially reduce variability in differentiation is the use of protocols in which differentiation is driven by the inducible expression of transcription factors – in particular when the expression cassette for the inducible transcription factors is integrated in a defined genomic safe-harbor locus in iPSCs109.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [109] Bershteyn, M. et al. Human iPSC-derived cerebral organoids model cellular features of lissencephaly and reveal prolonged mitosis of outer radial glia. Cell Stem Cell 20, 435–449.e4 (2017). source
Not checked in the free run.
- Interpretationreasoning
Differentiation variability can require screening large numbers of cells to detect phenotypic differences with statistical significance.
“A further technical challenge is variability introduced during differentiation, which can necessitate the screening of large numbers of cells in order to detect phenotypic differences with statistical significance.”
Quote in the paperNot a substantial claim - Premisecitation
Several neurological disease studies have reverted a disease-associated cellular phenotype in patient-derived cells by correcting the mutation, for example in MAPT.
“Several studies related to neurological disease successfully reverted a disease-associated cellular phenotype in patient-derived cells by correcting the disease-associated mutation, for example in the MAPT gene106,107.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [106] Israel, M. A. et al. Probing sporadic and familial Alzheimer’s disease using induced pluripotent stem cells. Nature 482, 216–220 (2012). This is a landmark paper modelling neurological disease in neurons derived from patient iPSCs. source
Not checked in the free run.
- cites [107] Kondo, T. et al. Modeling Alzheimer’s disease with iPSCs reveals stress phenotypes associated with intracellular Aβ and differential drug responsiveness. Cell Stem Cell 12, 487–496 (2013). source
Not checked in the free run.
- Interpretationreasoning
CRISPR modifier screens in isogenic cell lines could reveal how a disease variant affects relevant cellular functions.
“CRISPR-based modifier screens in isogenic cell lines have the potential to provide insights into the mechanism through which a disease variant affects relevant cellular functions”
Quote in the paperSubstantial claim - Interpretationreasoning
Genetic modifiers of a variant-caused phenotype represent gene-gene interactions that can reveal the variant's mechanism of action.
“Similarly, genetic modifiers of the phenotype caused by a genetic variant represent gene-gene interactions (in the case of survival screens, synthetic lethal genes), which can reveal the mechanism of action of the genetic variant”
Quote in the paperSubstantial claim - Premisereasoning
CRISPRi/a screens with single-cell RNA sequencing readouts produce transcriptomic signatures that can be directly compared with patient tissue signatures.
“Importantly, the phenotypes measured in CRISPRi/a screens with single-cell RNA sequencing readouts are transcriptomics signatures, which can be directly compared to transcriptomics signatures from patient tissues.”
Quote in the paperSubstantial claim - Premisecitation
APOE ε4 alters iPSC-derived astrocytes and microglia, notably reducing their Aβ clearance.
“APOE ε4 also affects properties of iPSC-derived astrocytes and microglia, notably reducing their ability to clear Aβ9,102.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [9] Lin, Y. T. et al. APOE4 causes widespread molecular and cellular alterations associated with Alzheimer’s disease phenotypes in human iPSC-derived brain cell types. Neuron 98, 1141–1154 (2018). source
Not checked in the free run.
- cites [102] Brownjohn, P. W. et al. Functional studies of missense TREM2 mutations in human stem cell-derived microglia. Stem Cell Rep. 10, 1294–1307 (2018). source
Not checked in the free run.
- Premisecitation
In drug sensitivity modifier screens, knocking down the drug's direct target or genes relevant to the targeted cellular function synergizes with drug treatment.
“In modifier screens for sensitivity to toxic drugs, knockdown of genes that are the direct target of the drug, or are relevant for the cellular function targeted by the drug, synergizes with drug treatment62.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [62] Koike-Yusa, H., Li, Y., Tan, E. P., Velasco-Herrera Mdel, C. & Yusa, K. Genome-wide recessive genetic screening in mammalian cells with a lentiviral CRISPR-guide RNA library. Nat. Biotechnol. 32, 267–273 (2014). source
Not checked in the free run.
- Premisecitation
Cells from patients with various neurological diseases have been found to recapitulate aspects of the disease.
“Intriguingly, cells derived from patients with a variety of neurological diseases have been found to recapitulate aspects of the disease99”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [99] Eiraku, M. et al. Self-organized formation of polarized cortical tissues from ESCs and its active manipulation by extrinsic signals. Cell Stem Cell 3, 519–532 (2008). source
Not checked in the free run.
- Premisecitation
Molecular characterization of human brain neuronal subtypes describes factors differentially expressed between vulnerable and resilient neurons.
“The in-depth molecular characterization of neuronal subtypes in the human brain115 provides a detailed description of factors that are differentially expressed between vulnerable and resilient neurons.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [115] Wang, C. et al. Scalable production of iPSC-derived human neurons to identify tau-lowering compounds by high-content screening. Stem Cell Rep. 9, 1221–1233 (2017). source
Not checked in the free run.
- Interpretationreasoning
Integrating CRISPR screening and iPSC disease modeling has great potential for discovering mechanisms and therapies for neurological disorders.
“Recent advances in CRISPR-based genetic screening and iPSC-based disease modeling, and especially the integration of these technologies have enormous potential for the discovery of mechanisms and therapeutic targets for neurologic disorders.”
Quote in the paperNot a substantial claim - Interpretationcitation
CRISPRi/a screens in iPSC-derived cells that alter expression of genes differentially expressed between vulnerable and resilient cell types could reveal causal determinants of selective vulnerability and potential therapeutic targets.
“In conclusion, CRISPRi/a-based screens in iPSC-derived cells that systematically alter the expression levels of genes differentially expressed between vulnerable and resilient cell types have the potential to reveal causal determinants of selective vulnerability, which are potential therapeutic targets116.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [116] Groen, E. J. N. & Gillingwater, T. H. UBA1: at the crossroads of ubiquitin homeostasis and neurodegeneration. Trends Mol. Med. 21, 622–632 (2015). source
Not checked in the free run.
- Premisecitation
Procedures to generate all disease-relevant cell types from iPSCs are currently lacking.
“First, we currently lack procedures to generate all disease-relevant cell types from iPSCs. The development of new differentiation protocols for cell types relevant to neurological disease is an active area of research117.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [117] Tian, R. et al. Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis. Preprint at bioRxiv https://doi.org/10.1101/2020.06.27.175679 (2020). source
Not checked in the free run.
- The quote only partly states this claim. 1
- May combine two claims. 35
- Classified as probably not a substantial claim. 18
The quote only partly states this claim.
FindingcitationUBA1 was a notable example of a housekeeping gene with different transcriptomic effects in iPSCs and neurons.
“A prominent example was the ubiquitin-activating E1 enzyme UBA176.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [76] Potting, C. et al. Genome-wide CRISPR screen for PARKIN regulators reveals transcriptional repression as a determinant of mitophagy. Proc. Natl Acad. Sci. USA 115, E180–E189 (2018). source
Not checked in the free run.
May combine two claims.
PremisecitationMouse and human microglia differ in expression of disease-relevant genes and adopt distinctly different states in human diseased brains compared with mouse models.
“mouse and human microglia, which have recently emerged as key players in Alzheimer’s Disease and other neurodegenerative diseases, show differences in particular in the expression of disease-relevant genes19, and they adopt distinctly different states in human diseased brains compared to mouse models20.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [19] Gosselin, D. et al. An environment-dependent transcriptional network specifies human microglia identity. Science 356, eaal3222 (2017). source
Not checked in the free run.
- cites [20] Friedman, B. A. et al. Diverse brain myeloid expression profiles reveal distinct microglial activation states and aspects of Alzheimer’s disease not evident in mouse models. Cell Rep. 22, 832–847 (2018). source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenAnswers to key mechanistic questions have implications for understanding disease mechanisms and should clarify which therapeutic strategies are likely to be effective and disease-modifying.
“Answers to these questions have important implications for our understanding of disease mechanisms, and should clarify which therapeutic strategies are likely to be effective and disease-modifying.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRNA toxicity and dipeptide repeat toxicity mechanisms may synergize in C9orf72 disease.
“Intriguingly, these two mechanisms may synergize in disease7.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] Boivin, M. et al. Reduced autophagy upon C9ORF72 loss synergizes with dipeptide repeat protein toxicity in G4C2 repeat expansion disorders. EMBO J. 39, e100574 (2020). source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenIf processes driving age-associated neurological diseases are initiated early in life, therapeutic intervention may need to start similarly early.
“if processes driving age-associated neurological diseases are initiated early in life, therapeutic intervention may need to start similarly early.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningA major challenge is to determine which pleiotropic effects of genetic changes are relevant for disease.
“therefore genetic changes can have pleiotropic effects, and a major challenge is to understand which of these effects are relevant for disease.”
Quote in the paperNot a substantial claim- Rests on an assumption: For many human genes, the molecular and cellular functions of the gene product are not well understood, and many genes have multiple functions, so genetic changes can have pleiotropic effects.
May combine two claims.
PremisecitationNon-coding risk variants in humans often occur in non-conserved sequences, precluding direct mouse modeling, and it is challenging to determine which coding gene or genes they affect.
“Non-coding risk variants in humans often occur in non-conserved sequences in the genome, precluding direct mouse modeling of these variants, and it is challenging to determine through which coding gene or genes these variants affect disease risk3.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] Pimenova, A. A., Raj, T. & Goate, A. M. Untangling genetic risk for Alzheimer’s disease. Biol. Psychiatry 83, 300–310 (2018). source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
InterpretationreasoningUnderstanding factors that make some neurons vulnerable and others resilient could inform therapeutic strategies aimed at increasing resilience of vulnerable neuronal populations.
“An understanding of the factors that make some neurons vulnerable and others comparatively resilient to disease could inform therapeutic strategies aimed at increasing resilience of vulnerable neuronal populations.”
Quote in the paperNot a substantial claim- Rests on an assumption: Selective vulnerability of specific cell types is a hallmark of many neurological diseases and drives disease-specific symptoms.
May combine two claims.
PremisecitationCoding variants that cause disease in humans may not cause disease in mice; the A53T alpha-synuclein mutation is linked to Parkinson's disease in humans but corresponds to the wild-type residue in mice, so mouse models rely on overexpression of human proteins.
“Coding variants that are disease-causing in humans may not cause disease in mice: the A53T mutation in alpha-synuclein is linked to Parkinson’s Disease in humans but corresponds to the wild-type residue in mice, and mouse models of A53T alpha-synuclein rely on overexpression of human proteins21.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [21] Giasson, B. I. et al. Neuronal α-synucleinopathy with severe movement disorder in mice expressing A53T human α-synuclein. Neuron 34, 521–533 (2002). source
Not checked in the free run.
May combine two claims.
PremisecitationHuman dopaminergic neurons contain substantially higher dopamine levels than mouse dopaminergic neurons, and some cellular disease processes have been proposed to depend on high dopamine found only in human dopaminergic neurons.
“dopaminergic neurons, which are selectively vulnerable in Parkinson’s Disease, contain substantially higher levels of dopamine in humans compared to mice, and some cellular disease processes have been proposed to depend on the high levels of dopamine found only in human dopaminergic neurons18.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18] Burbulla, L. F. et al. Dopamine oxidation mediates mitochondrial and lysosomal dysfunction in Parkinson’s disease. Science 357, 1255–1261 (2017). source
Not checked in the free run.
May combine two claims.
Premisenone givenImaging technologies enable longitudinal tracking of disease progression in patient brains, but interventions to establish causality are only possible in clinical trials.
“advances in imaging technologies, including magnetic resonance imaging and positron emission tomography with specific molecular tracers, have enabled longitudinal tracking of disease progression in patient brains, but interventions to establish causality are only possible in the context of clinical trials.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationExperimental results support RNA toxicity, dipeptide repeat toxicity, and C9orf72 haploinsufficiency as causes of disease in C9orf72 repeat expansion ALS and frontotemporal dementia.
“Experimental results support toxicity of RNAs containing the expanded repeat, as well as toxicity of dipeptide repeat translated from these RNAs, but also to haploinsufficiency of the C9orf72 protein as a cause of disease6.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [6] Balendra, R. & Isaacs, A. M. C9orf72-mediated ALS and FTD: multiple pathways to disease. Nat. Rev. Neurol. 14, 544–558 (2018). source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningA functional and mechanistic understanding is essential for translating human genetics findings into effective therapies.
“A functional and mechanistic understanding will be key to translating findings from human genetics to effective therapies.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationDisease-associated mutations often occur in broadly expressed proteins, yet specific subpopulations are selectively affected by downstream processes, as with tau and Von Economo neurons in frontotemporal dementia.
“Disease-associated mutations are often found in proteins that are expressed broadly (such as tau, which is expressed in all neurons), yet specific subpopulations are selectively affected by downstream processes (such as the Von Economo neurons in frontotemporal dementia10).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10] Seeley, W. W. et al. Early frontotemporal dementia targets neurons unique to apes and humans. Ann. Neurol. 60, 660–667 (2006). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationiPSCs have been derived from post-mortem human brain tissue, specifically dura mater fibroblasts.
“More recently, iPSCs were successfully obtain from post-mortem human brain tissue, specifically dura mater fibroblasts91.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [91] Ridge, P. G. et al. Linkage, whole genome sequence, and biological data implicate variants in RAB10 in Alzheimer’s disease resilience. Genome Med. 9, 100 (2017). source
Not checked in the free run.
May combine two claims.
PremisecitationSuch screens yield rich information about processes including differentiation, immune responses, stress responses and compensatory responses, and allow high-throughput mapping of regulatory elements.
“Such screens provide rich information on cellular processes such as differentiation72, immune responses72,73,75, stress responses74 and compensatory responses76 and enable high-throughput mapping of regulatory elements77.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [72] Rauch, J. N. et al. LRP1 is a master regulator of tau uptake and spread. Nature 580, 381–385 (2020). source
Not checked in the free run.
- cites [74] Rousseaux, M. W. C. et al. A druggable genome screen identifies modifiers of α-synuclein levels via a tiered cross-species validation approach. J. Neurosci. 38, 9286–9301 (2018). source
Not checked in the free run.
- cites [77] Cheng, W. et al. CRISPR-Cas9 screens identify the RNA helicase DDX3X as a repressor of C9ORF72 (GGGGCC)n repeat-associated non-AUG translation. Neuron 104, 885–898 (2019). source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisereasoningCRISPR enables rapid generation of a site-specific nuclease by combining Cas9 or functionally similar proteins with a single guide RNA that directs it to the desired target site.
“CRISPR enables the rapid generation of a site-specific nuclease by combining the Cas9 protein (or functionally similar proteins from other microbial species) with a single guide RNA (sgRNA) that directs Cas9 to the desired target site.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationGenome editing in nonhuman primates has been used to generate models of Duchenne muscular dystrophy by dystrophin disruption, microcephaly by MCPH1 disruption, and Rett syndrome by MECP2 disruption.
“used to generate models of neurological and related diseases: disruption of the dystrophin gene to model Duchenne muscular dystrophy29, disruption of the MCPH1 gene to model microcephaly30, and disruption of the MECP2 gene to model Rett syndrome31.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [29] Chen, Y. et al. Functional disruption of the dystrophin gene in rhesus monkey using CRISPR/Cas9. Hum. Mol. Genet. 24, 3764–3774 (2015). source
Not checked in the free run.
- cites [30] Ke, Q. et al. TALEN-based generation of a cynomolgus monkey disease model for human microcephaly. Cell Res. 26, 1048–1061 (2016). source
Not checked in the free run.
- cites [31] Chen, Y. et al. Modeling Rett syndrome using TALEN-edited MECP2 mutant cynomolgus monkeys. Cell 169, 945–955 (2017). source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenExperiments in animals, especially nonhuman primates, are time-consuming, costly, and ethically challenging, limiting scalability for investigating many disease-associated variants.
“However, experiments in animals, in particular non-human primates, are time-consuming, costly, and have important ethical considerations, limiting their scalability for the investigation of the large number of disease-associated variants that are being uncovered.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationMammalian genomes can be edited by homologous recombination when a double-strand break is introduced and a DNA template with high sequence similarity is provided; an artificial template can incorporate desired DNA sequences.
“When a double-stranded break is introduced into genomic DNA, cells can repair the break by using a DNA molecule with high sequence similarity as a template. If an artificial template is provided while the DNA break is introduced, this pathway provides a mean to incorporate desired DNA sequences into the genome34,35”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [34] Cong, L. et al. Multiplex genome engineering using CRISPR/Cas systems. Science 339, 819–823 (2013). source
Not checked in the free run.
- cites [35] Mali, P. et al. RNA-guided human genome engineering via Cas9. Science 339, 823–826 (2013). Together with Cong et al. (2013), this study demonstrates the use of CRISPR–Cas9-based genome engineering in human cells. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCRISPR technology is based on a prokaryotic antiviral defense system with CRISPR DNA elements and Cas proteins; CRISPRs derive from bacteriophage genomes and generate RNAs that function with Cas proteins to cleave bacteriophage genomes upon infection.
“CRISPR technology is based on a prokaryotic antiviral defense system characterized by DNA elements termed CRISPRs (clustered regularly interspaced short palindromic repeats) and CRISPR-associated (Cas) proteins. CRISPRs are derived from bacteriophage genomes and generate RNAs that function with Cas proteins to cleave bacteriophage genomes upon infection32.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] Hale, C. R. et al. RNA-guided RNA cleavage by a CRISPR RNA-Cas protein complex. Cell 139, 945–956 (2009). source
Not checked in the free run.
May combine two claims.
Premisenone givenSegmenting microscopy images of cells with complex morphologies, such as neurons and glia, is difficult, and this segmentation is needed to assign all parts of a cell to the correct sgRNA.
“in practice, however, it is difficult to segment microscopic images of cells with complex morphologies, such as neurons and glia, which is a prerequisite for assigning all parts of a cell to the correct sgRNA.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFibroblasts can be directly reprogrammed into differentiated cells such as neurons.
“Fibroblasts can also be directly reprogrammed into differentiated cell types such as neurons92.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [92] Finch, N. et al. TMEM106B regulates progranulin levels and the penetrance of FTLD in GRN mutation carriers. Neurology 76, 467–474 (2011). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningCancer cell line screens have limitations for neurological disease research, including that most neurological diseases involve specific cell types, that disease-relevant genes may not be expressed in the line, and that survival control differs between cancer and untransformed cells.
“Even though such screens have been able to uncover genes that were then validated in relevant cell types such as neurons63,65,68, they have obvious limitations for the study of neurological disease.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [63] Shalem, O. et al. Genome-scale CRISPR-Cas9 knockout screening in human cells. Science 343, 84–87 (2014). source
Not checked in the free run.
- cites [65] Hanna, R. E. et al. Massively parallel assessment of human variants with base editor screens. Preprint at bioRxiv https://doi.org/10.1101/2020.05.17.100818 (2020). source
Not checked in the free run.
- cites [68] Kramer, N. J. et al. CRISPR-Cas9 screens in human cells and primary neurons identify modifiers of C9ORF72 dipeptide-repeat-protein toxicity. Nat. Genet. 50, 603–612 (2018). source
Not checked in the free run.
- Rests on an assumption: Most neurological diseases involve functional changes in specific nervous system cell types, and these functions can only be properly studied in those cell types.
May combine two claims.
PremisecitationCRISPR platforms have produced much larger genetic interaction maps than RNA interference, including CRISPRa gain-of-function maps and maps combining gain- and loss-of-function perturbations.
“This approach was pioneered in mammalian cells using RNA interference80,81, but CRISPR-based platforms have enabled the generation of substantially larger genetic interaction maps82, including CRISPRa-based gain-of-function maps83 and maps that combine gain- and loss-of-function perturbations to map directional pathways84.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [82] Tian, R. et al. CRISPR interference-based platform for multimodal genetic screens in human iPSC-derived neurons. Neuron 104, 239–255 (2019). This paper describes the use of a platform for large-scale CRISPR screens in neurons derived from human iPSCs. source
Not checked in the free run.
- cites [83] Gasperini, M. et al. A genome-wide framework for mapping gene regulation via cellular genetic screens. Cell 176, 377–390.e19 (2019). source
Not checked in the free run.
- cites [84] Mimitou, E. P. et al. Multiplexed detection of proteins, transcriptomes, clonotypes and CRISPR perturbations in single cells. Nat. Methods 16, 409–412 (2019). source
Not checked in the free run.
May combine two claims.
PremisecitationA recent neurological disease-related genetic interaction screen found FIS1 as the strongest synthetic lethal gene with C9orf72 loss, and follow-up work implicated it in inflammatory signaling.
“A recent example for a genetic interaction screen with relevance to neurological disease is a screen for genes loss of which was synthetic lethal with C9orf72 loss88. The strongest synthetic lethal gene was FIS1, which encodes a protein that mediating mitochondrial fission and mitophagy, and follow-up experiments also pointed to a role in regulating inflammatory signaling88.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [88] Kampmann, M., Bassik, M. C. & Weissman, J. S. Integrated platform for genome-wide screening and construction of high-density genetic interaction maps in mammalian cells. Proc. Natl Acad. Sci. USA 110, E2317–E2326 (2013). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationUBA1 is broadly expressed in the human body, and its loss-of-function mutations are associated with neurodegenerative diseases.
“Intriguingly, UBA1 is widely expressed in the human body, but loss-of-function mutations are linked to neurodegenerative diseases110.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [110] Lancaster, M. A. et al. Cerebral organoids model human brain development and microcephaly. Nature 501, 373–379 (2013). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenMotor neurons are selectively vulnerable in ALS.
“For example, motor neurons are selectively vulnerable in amyotrophic lateral sclerosis (ALS).”
Quote in the paperNot a substantial claim- Rests on an assumption: Many neurological disorders, especially neurodegenerative diseases, are characterized by selective vulnerability of specific cell types.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationiPSC-derived cells from different lineages can be combined into defined three-dimensional cultures called assembloids.
“Furthermore, iPSC-derived cell types from different lineages can be combined into defined three-dimensional cultures, termed assembloids9,94–98.”
Quote in the paperNot a substantial claim0 of 6 sources checked- cites [9] Lin, Y. T. et al. APOE4 causes widespread molecular and cellular alterations associated with Alzheimer’s disease phenotypes in human iPSC-derived brain cell types. Neuron 98, 1141–1154 (2018). source
Not checked in the free run.
- cites [94] Chai, N. et al. Genome-wide synthetic lethal CRISPR screen identifies FIS1 as a genetic interactor of ALS-linked C9ORF72. Brain Res. 1728, 146601 (2020). source
Not checked in the free run.
- cites [95] Takahashi, K. & Yamanaka, S. Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell 126, 663–676 (2006). source
Not checked in the free run.
- cites [96] Takahashi, K. et al. Induction of pluripotent stem cells from adult human fibroblasts by defined factors. Cell 131, 861–872 (2007). source
Not checked in the free run.
- cites [97] Sproul, A. A. et al. Generation of iPSC lines from archived non-cryoprotected biobanked dura mater. Acta Neuropathol. Commun. 2, 4 (2014). source
Not checked in the free run.
- cites [98] Vierbuchen, T. et al. Direct conversion of fibroblasts to functional neurons by defined factors. Nature 463, 1035–1041 (2010). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningDetermining which genes mediate a disease-associated eQTL's effect is not trivial, and even when affected genes are known, it is unclear which are disease-relevant.
“Therefore, it is not trivial to determine the genes through which a disease-associated eQTL affects disease processes. Even if the set of genes affected in their expression by a genetic variant is known, it is not clear which of these candidate genes is relevant for disease.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningDisease-associated cell states involve expression changes in many genes, but it is generally unclear which changes are beneficial or detrimental.
“These disease-associated states are characterized by expression changes in numerous genes, but it is generally not clear which of these changes have either beneficial or detrimental effects in disease.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningLinkage disequilibrium can hinder causal assignment to a specific genetic variant from natural human variation, and isogenic lines can overcome this.
“Importantly, linkage disequilibrium can make it difficult to assign causality to a specific genetic variant based on natural genetic variation in the human population, and the use of isogenic lines can overcome this problem.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationCRISPR-induced DNA breaks are especially toxic to iPSCs, lowering survival and potentially confounding observed phenotypes.
“However, CRISPR-induced DNA breaks are particularly toxic to iPSCs111, reducing cell survival and potentially confounding the observed phenotypes.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [111] Soldner, F. et al. Generation of isogenic pluripotent stem cells differing exclusively at two early onset Parkinson point mutations. Cell 146, 318–331 (2011). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningMost differentially expressed factors likely reflect neuronal functional specializations, and it is unclear which are causal for vulnerability to specific diseases.
“However, most differentially expressed factors are likely to reflect the different functional specializations of neurons, and it is not clear which of these factors are causal determinants of vulnerability to specific diseases.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningALS risk genes are not expressed only in motor neurons, suggesting that factors in the motor neuron environment increase their vulnerability.
“Intriguingly, the expression of ALS risk genes is not restricted to motor neurons, indicating that specific factors in the cellular environment of motor neurons make them more vulnerable to ALS.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone giveneQTLs can affect nearby and distant genes, and their effects can be cell-type and cell-state specific.
“eQTLs can affect the expression of nearby, but also distant genes, and their effect can be cell-type and cell-state specific.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningGenetic screens can be attractive alternatives to pharmacological screening because some phenotypes can be run as pooled screens, scalable to genome-wide without automation.
“First, while small-molecule screens need to be implemented in an arrayed format and therefore require automation infrastructure, genetic screens for some phenotypes can be implemented as pooled screens, making them scalable to genome-wide screens without requiring automation.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationCRISPRi knockdown is non-toxic in iPSCs and iPSC-derived cells, inducible, and reversible, enabling time-resolved analysis of gene function.
“CRISPRi-based gene knockdown may result in weaker phenotypes than full gene knockout, however it is non-toxic in iPSCs and iPSC-derived cells76, inducible76 and reversible42, thereby enabling time-resolved analysis of gene function76.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [76] Potting, C. et al. Genome-wide CRISPR screen for PARKIN regulators reveals transcriptional repression as a determinant of mitophagy. Proc. Natl Acad. Sci. USA 115, E180–E189 (2018). source
Not checked in the free run.
- cites [42] Gilbert, L. A. et al. Genome-scale CRISPR-mediated control of gene repression and activation. Cell 159, 647–661 (2014). This paper describes the first platform for genome-wide CRISPRi and CRISPRa screens. source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningUnderstanding which gene expression changes are detrimental would prioritize those genes as therapeutic targets.
“A detailed understanding of the genes expression changes of which are detrimental would prioritize these genes as potential therapeutic targets.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationCRISPRa assesses gain-of-function phenotypes and can complement CRISPR knockout or CRISPRi loss-of-function screens.
“CRISPRa evaluates gain-of-function phenotypes and can provide complementary insight to CRISPR knockout or CRISPRi-based loss-of-function screens42.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42] Gilbert, L. A. et al. Genome-scale CRISPR-mediated control of gene repression and activation. Cell 159, 647–661 (2014). This paper describes the first platform for genome-wide CRISPRi and CRISPRa screens. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenAlpha-synuclein mutations can cause Parkinson's disease, in which substantia nigra dopaminergic neurons are selectively vulnerable while motor neurons are less vulnerable, despite widespread alpha-synuclein expression.
“Conversely, mutations in alpha-synuclein can cause Parkinson’s Disease, where dopaminergic neurons in the substantia nigra are selectively vulnerable, but motor neurons are less vulnerable, even though alpha-synuclein is widely expressed in neurons.”
Quote in the paperNot a substantial claim- Rests on an assumption: Many neurological disorders, especially neurodegenerative diseases, are characterized by selective vulnerability of specific cell types.
May combine two claims.
InterpretationreasoningGenetic screens directly identify targets and mechanisms, whereas small-molecule screens yield compounds whose targets and mechanisms are often hard to identify.
“Second, while small-molecule screens yield compounds with beneficial effects, it is often a major challenge to identify their molecular targets and mechanism of action. By contrast, genetic screens directly identify relevant targets and mechanisms, for which effective compounds must then be developed.”
Quote in the paperSubstantial claimMay combine two claims.
Premisenone givenGWAS often finds disease-associated variants outside protein-coding regions, and these can affect other genes' expression as eQTLs.
“First, GWAS studies frequently uncover disease-associated genetic variants outside protein-coding regions. Such variants can affect the expression of other genes, thus acting as expression quantitative trait loci (eQTLs).”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationNeurons from familial and sporadic Alzheimer's patients show enlarged early endosomes, phosphorylated tau, and increased Aβ peptides and oligomers.
“Neurons derived from familial as well as sporadic Alzheimer’s patient cells show enlarged early endosomes100, phosphorylated tau100, and increased production of Aβ peptides100 and oligomers101.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [100] Pasca, S. P. Assembling human brain organoids. Science 363, 126–127 (2019). source
Not checked in the free run.
- cites [101] Schwartz, M. P. et al. Human pluripotent stem cell-derived neural constructs for predicting neural toxicity. Proc. Natl Acad. Sci. USA 112, 12516–12521 (2015). source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenCRISPRi and CRISPRa allow systematic control of specific gene expression levels in human cells.
“CRISPRi and CRISPRa enable the systematic control of the expression levels of specific genes in human cells.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningCRISPR functional genomics allows specific gene perturbation, making causality establishment feasible.
“CRISPR-based functional genomics enable the specific perturbation of genes of interests, thereby making it feasible to establish causality.”
Quote in the paperSubstantial claimMay combine two claims.
Premisenone giveniPSC-derived neurons resemble young neurons, while many neurological disorders affect older neurons, and aging is the main risk factor for neurodegenerative diseases.
“Second, iPSC-derived neurons resemble young neurons, whereas many neurological disorders affect older neurons, and aging is the major risk factor for neurodegenerative diseases.”
Quote in the paperSubstantial claim- Rests on an assumption: Aging is the major risk factor for neurodegenerative diseases.
May combine two claims.
PremisecitationDirectly reprogrammed fibroblasts retain some donor age features and aged neuron properties, but cannot be readily produced in quantities needed for large-scale screens.
“Neurons directly reprogrammed from fibroblasts maintain some features reflecting the age of the donor and mirroring some properties of aged neurons120,121; however they are not readily obtained in quantities required for large-scale screens.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [120] Deczkowska, A. et al. Disease-associated microglia: a universal immune sensor of neurodegeneration. Cell 173, 1073–1081 (2018). source
Not checked in the free run.
- cites [121] Liddelow, S. A. et al. Neurotoxic reactive astrocytes are induced by activated microglia. Nature 541, 481–487 (2017). source
Not checked in the free run.
The paper relies on this without support.
Many neurodegenerative, neurodevelopmental, and neuropsychiatric disorders lack disease-modifying treatments.
“Neurodegenerative, neurodevelopmental and neuropsychiatric disorders are among the greatest public health challenges, since many lack disease-modifying treatments.”
The paper relies on this without support.
Limited understanding of causative molecular and cellular mechanisms is a major reason for the lack of effective therapies.
“A major reason for this lack in effective therapies is our limited understanding of the causative molecular and cellular mechanisms.”
The paper relies on this without support.
Many GWAS risk variants are located outside coding regions and are typically thought to affect expression of one or several coding genes.
“Many risk variants identified in genome-wide association studies are located outside coding regions, and are typically thought to affect the expression of one or several coding genes.”
The paper relies on this without support.
For many human genes, the molecular and cellular functions of the gene product are not well understood, and many genes have multiple functions, so genetic changes can have pleiotropic effects.
“For many human genes, the molecular and cellular functions of the gene product are not well understood, and many genes have multiple functions – therefore genetic changes can have pleiotropic effects”
The paper relies on this without support.
Selective vulnerability of specific cell types is a hallmark of many neurological diseases and drives disease-specific symptoms.
“The selective vulnerability of specific cell types is a hallmark of many neurological diseases and drives disease-specific symptoms.”
The paper relies on this without support.
Biopsies of the relevant nervous system tissues are generally not possible, so studies rely on post-mortem tissue.
“However, biopsies of the relevant tissues of the nervous system are generally not possible, and studies rely on post-mortem tissue.”
The paper relies on this without support.
After uptake, tau seeds need to escape the endolysosomal pathway to template aggregation of cytosolic tau.
“After uptake, tau seeds need to escape the endolysosomal pathway to template aggregation of cytosolic tau.”
The paper relies on this without support.
Nonhuman primates mirror humans more closely than mice in genome sequence, brain and circuit architecture, and have a complex behavioral and cognitive repertoire.
“Nonhuman primates mirror humans much more closely in terms of their genome sequence, brain and circuit architecture than mice do, and they possess a complex behavioral and cognitive repertoire that facilitates evaluation of phenotypes relevant to neurological disease.”
The paper relies on this without support.
Mouse models have advantages including relative ease of genetic manipulation, moderate cost, and the ability to study neuronal circuits and monitor behavioral and cognitive phenotypes.
“Mice combine several advantages, including relative ease of genetic manipulation and moderate cost, the ability to study neuronal circuits and to monitor behavioral and cognitive phenotypes.”
The paper relies on this without support.
Mouse models have provided important insights into neurological diseases and can serve as preclinical models to evaluate new therapeutic approaches.
“They have provided important insights into neurological diseases, and can serve as pre-clinical models to evaluate new therapeutic approaches.”
The paper relies on this without support.
Most academic laboratories lack the resources to perform large-scale arrayed screens.
“most academic labs do not have the resources to conduct large-scale arrayed screens.”
The paper relies on this without support.
Primary human nervous system cells are hard to obtain, and neurons are post-mitotic and cannot be expanded.
“Primary human cells of the nervous system are difficult to obtain. Neurons in particular are post-mitotic and therefore non-expandable.”
The paper relies on this without support.
Disease-associated genetic variants are being discovered rapidly, but their mechanisms are often unknown or controversial.
“Genetic variants associated with familial disease or with disease risk in sporadic patients are being identified at a rapid pace. However, the mechanism by which these variants contribute to disease is often unknown or controversial.”
The paper relies on this without support.
Many neurological disorders, especially neurodegenerative diseases, are characterized by selective vulnerability of specific cell types.
“A hallmark of many neurological disorders, in particular neurodegenerative diseases, is the selective vulnerability of specific cell types.”
The paper relies on this without support.
Genes usually act in combination with other genes rather than in isolation.
“Genes typically do not function in isolation, but in combination with other genes.”
The paper relies on this without support.
Most neurological diseases involve functional changes in specific nervous system cell types, and these functions can only be properly studied in those cell types.
“First, most neurological diseases are characterized by changes in the function of specific cell types of the nervous system, and such functions can only be appropriately studied in the relevant cell types.”
The paper relies on this without support.
Aging is the major risk factor for neurodegenerative diseases.
“aging is the major risk factor for neurodegenerative diseases.”
The paper relies on this without support.
The paper assumes that nearly all neurological disorders entail interactions among distinct cell types within a tissue environment.
“most or all neurological disorders involve interactions between different cell types in a tissue context”
The paper relies on this without support.
The paper assumes that neurological disorders appear as dysfunction of the nervous system and entail processes at the neuronal circuit level.
“neurological diseases manifest as dysfunction of the nervous system, and involve processes at the level of neuronal circuits”
The paper relies on this without support.
The paper assumes that clinical trials are presently ongoing for CRISPR-based treatments aimed at more accessible cell types, including blood cells and photoreceptor cells.
“Clinical trials are currently underway for CRISPR-based therapies targeting cells that are more easily accessible, such as blood cells and photoreceptor cells.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The authors previously established a CRISPRi platform that enables robust knockdown of endogenous genes and large-scale loss-of-function genetic screens in human iPSC-derived neurons.
“We previously established a CRISPRi platform that enables robust knockdown of endogenous genes and large-scale loss-of-function genetic screens in human iPSC-derived neurons3.”
From Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis (2021) · cites this paper as [3]
The authors previously conducted a sub-genome scale CRISPRi screen targeting 2,325 druggable genome genes to reveal genes controlling neuronal survival.
“We previously conducted a sub-genome scale CRISPRi screen to reveal genes controlling neuronal survival using an sgRNA library targeting 2,325 genes representing the “druggable genome”3.”
From Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis (2021) · cites this paper as [3]
Knockdown of certain genes can have remarkably different impacts on cell survival and gene expression in different isogenic human cell types, including stem cells and neurons.
“Cell-type specific gene function is also supported by our recent finding that knockdown of certain genes can have remarkably different impacts on cell survival and gene expression in different isogenic human cell types, including stem cells and neurons3.”
From Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis (2021) · cites this paper as [3]
The authors previously developed a functional genomics platform enabling large-scale, multimodal loss-of-function genetic screens in differentiated human cell types, as demonstrated in neurons.
“To this end, we recently developed a functional genomics platform, leveraging the strengths of CRISPR interference (CRISPRi) and induced pluripotent stem cell (iPSC) technology, that enables large-scale, multimodal loss-of-function genetic screens in differentiated human cell types, as demonstrated in neurons3.”
From Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis (2021) · cites this paper as [3]
Genes involved in cholesterol biosynthesis were strongly enriched in CRISPRi hits with toxic knockdown phenotypes.
“For example, genes involved in cholesterol biosynthesis were strongly enriched in hits with toxic knockdown phenotypes, suggesting an important role of cholesterol in maintaining neuronal survival, consistent with our previous findings3.”
From Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis (2021) · cites this paper as [3]
Cholesterol plays an important role in maintaining neuronal survival.
“For example, genes involved in cholesterol biosynthesis were strongly enriched in hits with toxic knockdown phenotypes, suggesting an important role of cholesterol in maintaining neuronal survival, consistent with our previous findings3.”
From Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis (2021) · cites this paper as [3]
The authors developed a CRISPRa platform in human iPSC-derived neurons to enable robust gene overexpression screens.
“we developed a CRISPRa platform in human iPSC-derived neurons to enable robust gene overexpression screens, complementing our previously established CRISPRi platform3.”
From Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis (2021) · cites this paper as [3]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
CRISPRa is described as both increasing and decreasing expression
MinorThe CRISPRa section says the method induces and overexpresses genes, but then calls its effect a knockdown. Those descriptions conflict.
“For some genes, CRISPRi knockdown and CRISPRa knockdown will result in opposite phenotypes42.”
“Using CRISPRa, endogenous genes can be induced and overexpressed to varying degrees to evaluate functional consequences.”
RAB10 modifier citation points to a tau study
MinorThe text attaches reference 65 to the RAB10-APOE example, but entry 65 is about tau uptake, not that genetic interaction. The same sentence separately cites reference 85 for the RAB10 finding.
“Genetic modifiers for neurodegeneration have been identified successfully through human genetics, such as RAB10 for APOE65 in Alzheimer’s Disease (variants in the RAB10 locus are linked to resilience in individuals carrying the high-risk APOE ε4 allele85)”
“65. Rauch JN Tau Internalization is Regulated by 6-O Sulfation on Heparan Sulfate Proteoglycans (HSPGs). Sci Rep 8, 6382, doi: 10.1038/s41598-018-24904-z (2018). 29686391 PMC5913225”
Insult-screen figure points to a genome-editing panel
MinorThe modifier-screen discussion directs readers to Fig. 2b for screens involving an insult. Earlier, the paper assigns Fig. 2b to deletions that cause gene loss of function; it assigns insult screens to Fig. 3b.
“Conceptually, the screen design is similar to screens for sensitivity to an insult (Fig. 2b) – except that the insult is the disease-associated genetic variant.”
“Survival-based screens can be carried out in parallel under standard culture conditions and in the presence of a toxic insult (Fig 3b).”
Cites
Takahashi, K., & Yamanaka, S. (2006) · Cell · doi:10.1016/j.cell.2006.07.024 · Cited by 26,673 · see citing works
Induction of Pluripotent Stem Cells from Adult Human Fibroblasts by Defined Factors
Takahashi, K., Tanabe, K., Ohnuki, M., Narita, M., Ichisaka, T., Tomoda, K., & Yamanaka, S. (2007) · Cell · doi:10.1016/j.cell.2007.11.019 · Cited by 20,221 · see citing works
A Programmable Dual-RNA–Guided DNA Endonuclease in Adaptive Bacterial Immunity
Jinek, M., Chylinski, K., Fonfara, I., Hauer, M., Doudna, J. A., & Charpentier, E. (2012) · Science · doi:10.1126/science.1225829 · Cited by 17,116 · see citing works
Multiplex Genome Engineering Using CRISPR/Cas Systems
Cong, L., Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., Hsu, P. D., Wu, X., Jiang, W., Marraffini, L. A., et al. (2013) · Science · doi:10.1126/science.1231143 · Cited by 15,339 · see citing works
Tissue-based map of the human proteome
Uhlén, M., Fagerberg, L., Hallström, B. M., Lindskog, C., Oksvold, P., Mardinoglu, A., Sivertsson, Å., Kampf, C., Sjöstedt, E., Asplund, A., et al. (2015) · Science · doi:10.1126/science.1260419 · Cited by 15,286 · see citing works
RNA-Guided Human Genome Engineering via Cas9
Mali, P., Yang, L., Esvelt, K. M., Aach, J., Guell, M., DiCarlo, J. E., Norville, J. E., & Church, G. M. (2013) · Science · doi:10.1126/science.1232033 · Cited by 9,210 · see citing works
Neurotoxic reactive astrocytes are induced by activated microglia
Liddelow, S. A., Guttenplan, K. A., Clarke, L. E., Bennett, F. C., Bohlen, C. J., Schirmer, L., Bennett, M. L., Münch, A. E., Chung, W.-S., Peterson, T. C., et al. (2017) · Nature · doi:10.1038/nature21029 · Cited by 7,971 · see citing works
Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage
Komor, A. C., Kim, Y. B., Packer, M. S., Zuris, J. A., & Liu, D. R. (2016) · Nature · doi:10.1038/nature17946 · Cited by 5,437 · see citing works
Cerebral organoids model human brain development and microcephaly
Lancaster, M. A., Renner, M., Martin, C.-A., Wenzel, D., Bicknell, L. S., Hurles, M. E., Homfray, T., Penninger, J. M., Jackson, A. P., & Knoblich, J. A. (2013) · Nature · doi:10.1038/nature12517 · Cited by 5,372 · see citing works
Genome-scale CRISPR-Cas9 knockout screening in human cells
Shalem, O., Sanjana, N. E., Hartenian, E., Shi, X., Scott, D. A., Mikkelsen, T. S., Heckl, D., Ebert, B. L., Root, D. E., Doench, J. G., et al. (2014) · Science · doi:10.1126/science.1247005 · Cited by 5,234 · see citing works
Search-and-replace genome editing without double-strand breaks or donor DNA
Anzalone, A. V., Randolph, P. B., Davis, J. R., Sousa, A. A., Koblan, L. W., Levy, J. M., Chen, P. J., Wilson, C., Newby, G. A., Raguram, A., et al. (2019) · Nature · doi:10.1038/s41586-019-1711-4 · Cited by 4,767 · see citing works
CRISPR-Mediated Modular RNA-Guided Regulation of Transcription in Eukaryotes
Gilbert, L. A., Larson, M. H., Morsut, L., Liu, Z., Brar, G. A., Torres, S. E., Stern-Ginossar, N., Brandman, O., Whitehead, E. H., Doudna, J. A., et al. (2013) · Cell · doi:10.1016/j.cell.2013.06.044 · Cited by 3,696 · see citing works
Direct conversion of fibroblasts to functional neurons by defined factors
Vierbuchen, T., Ostermeier, A., Pang, Z. P., Kokubu, Y., Südhof, T. C., & Wernig, M. (2010) · Nature · doi:10.1038/nature08797 · Cited by 3,017 · see citing works
Genetic screens in human cells using the CRISPR-Cas9 system
Wang, T., Wei, J. J., Sabatini, D. M., & Lander, E. S. (2014) · Science · doi:10.1126/science.1246981 · Cited by 2,856 · see citing works
Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex
Konermann, S., Brigham, M. D., Trevino, A. E., Joung, J., Abudayyeh, O. O., Barcena, C., Hsu, P. D., Habib, N., Gootenberg, J. S., Nishimasu, H., et al. (2015) · Nature · doi:10.1038/nature14136 · Cited by 2,825 · see citing works
Genome-Scale CRISPR-Mediated Control of Gene Repression and Activation
Gilbert, L. A., Horlbeck, M. A., Adamson, B., Villalta, J. E., Chen, Y., Whitehead, E. H., Guimaraes, C., Panning, B., Ploegh, H. L., Bassik, M. C., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.029 · Cited by 2,728 · see citing works
Self-citationC2c2 is a single-component programmable RNA-guided RNA-targeting CRISPR effector
Abudayyeh, O. O., Gootenberg, J. S., Konermann, S., Joung, J., Slaymaker, I. M., Cox, D. B. T., Shmakov, S., Makarova, K. S., Semenova, E., Станиславович, М. Л., et al. (2016) · Science · doi:10.1126/science.aaf5573 · Cited by 2,328 · see citing works
Hilton, I. B., D’Ippolito, A. M., Vockley, C. M., Thakore, P. I., Crawford, G. E., Reddy, T. E., & Gersbach, C. A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3199 · Cited by 1,879 · see citing works
Dixit, A., Parnas, O., Li, B., Chen, J., Fulco, C. P., Jerby-Arnon, L., Marjanovic, N. D., Dionne, D., Burks, T., Raychowdhury, R., et al. (2016) · Cell · doi:10.1016/j.cell.2016.11.038 · Cited by 1,863 · see citing works
Conserved cell types with divergent features in human versus mouse cortex
Hodge, R. D., Bakken, T. E., Miller, J. A., Smith, K. A., Barkan, E. R., Graybuck, L. T., Close, J. L., Long, B., Johansen, N., Penn, O., et al. (2019) · Nature · doi:10.1038/s41586-019-1506-7 · Cited by 1,775 · see citing works
Highly efficient Cas9-mediated transcriptional programming
Chavez, A., Scheiman, J., Vora, S., Pruitt, B. W., Tuttle, M., P R Iyer, E., Lin, S., Kiani, S., Guzman, C. D., Wiegand, D. J., et al. (2015) · Nature Methods · doi:10.1038/nmeth.3312 · Cited by 1,622 · see citing works
Eiraku, M., Watanabe, K., Matsuo-Takasaki, M., Kawada, M., Yonemura, S., Matsumura, M., Wataya, T., Nishiyama, A., Muguruma, K., & Sasai, Y. (2008) · Cell Stem Cell · doi:10.1016/j.stem.2008.09.002 · Cited by 1,522 · see citing works
Disease-Associated Microglia: A Universal Immune Sensor of Neurodegeneration
Deczkowska, A., Keren-Shaul, H., Weiner, A., Colonna, M., Schwartz, M., & Amit, I. (2018) · Cell · doi:10.1016/j.cell.2018.05.003 · Cited by 1,474 · see citing works
RNA-guided gene activation by CRISPR-Cas9-based transcription factors
Perez-Pinera, P., Kocak, D. D., Vockley, C. M., Adler, A. F., Kabadi, A. M., Polstein, L. R., Thakore, P. I., Glass, K. A., Ousterout, D. G., Leong, K. W., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2600 · Cited by 1,328 · see citing works
Neuronal α-Synucleinopathy with Severe Movement Disorder in Mice Expressing A53T Human α-Synuclein
Giasson, B. I., Duda, J. E., Quinn, S. M., Zhang, B., Trojanowski, J. Q., & Lee, V. M.-Y. (2002) · Neuron · doi:10.1016/s0896-6273(02)00682-7 · Cited by 1,266 · see citing works
Probing sporadic and familial Alzheimer’s disease using induced pluripotent stem cells
Israel, M. A., Yuan, S. H., Bardy, C., Reyna, S. M., Mu, Y., Herrera, C., Hefferan, M. P., Van Gorp, S., Nazor, K. L., Boscolo, F. S., et al. (2012) · Nature · doi:10.1038/nature10821 · Cited by 1,253 · see citing works
CRISPR RNA–guided activation of endogenous human genes
Maeder, M. L., Linder, S. J., Cascio, V. M., Fu, Y., Ho, Q. H., & Joung, J. K. (2013) · Nature Methods · doi:10.1038/nmeth.2598 · Cited by 1,249 · see citing works
An environment-dependent transcriptional network specifies human microglia identity
Gosselin, D., Skola, D., Coufal, N. G., Holtman, I. R., Schlachetzki, J. C. M., Sajti, E., Jaeger, B. N., O’Connor, C., Fitzpatrick, C., Pasillas, M. P., et al. (2017) · Science · doi:10.1126/science.aal3222 · Cited by 1,220 · see citing works
Adamson, B., Norman, T. M., Jost, M., Cho, M. Y., Nuñez, J. K., Chen, Y., Villalta, J. E., Gilbert, L. A., Horlbeck, M. A., Hein, M. Y., et al. (2016) · Cell · doi:10.1016/j.cell.2016.11.048 · Cited by 1,193 · see citing works
Two distinct RNase activities of CRISPR-C2c2 enable guide-RNA processing and RNA detection
East-Seletsky, A., O’Connell, M. R., Knight, S. C., Burstein, D. E., Cate, J. H. D., Tjian, R., & Doudna, J. A. (2016) · Nature · doi:10.1038/nature19802 · Cited by 1,180 · see citing works
Induction of Pluripotent Stem Cells From Adult Human Fibroblasts by Defined Factors
Takahashi, K., Tanabe, K., Ohnuki, M., Narita, M., Ichisaka, T., Tomoda, K., & Yamanaka, S. (2008) · Obstetrical & Gynecological Survey · doi:10.1097/01.ogx.0000305204.97355.0d · Cited by 1,174 · see citing works
Transcriptome Engineering with RNA-Targeting Type VI-D CRISPR Effectors
Konermann, S., Lotfy, P., Brideau, N. J., Oki, J., Shokhirev, M. N., & Hsu, P. D. (2018) · Cell · doi:10.1016/j.cell.2018.02.033 · Cited by 1,164 · see citing works
iPSC-derived human microglia-like cells to study neurological diseases
Abud, E. M., Ramirez, R. N., Martinez, E. S., Healy, L. M., Nguyen, C. H. H., Newman, S. A., Yeromin, A. V., Scarfone, V. M., Marsh, S. E., Fimbres, C., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.042 · Cited by 1,154 · see citing works
Lin, Y.-T., Seo, J., Gao, F., Feldman, H. M., Wen, H.-L., Penney, J., Cam, H. P., Gjoneska, E., Raja, W. K., Cheng, J., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.05.008 · Cited by 1,125 · see citing works
Apolipoprotein E polymorphism and Alzheimer's disease
Poirier, J., Bertrand, P., Poirier, J., Kogan, S., Gauthier, S., Poirier, J., Gauthier, S., Davignon, J., Bouthillier, D., & Davignon, J. (1993) · The Lancet · doi:10.1016/0140-6736(93)91705-q · Cited by 1,108 · see citing works
Pooled CRISPR screening with single-cell transcriptome readout.
Datlinger, P., Rendeiro, A. F., Schmidl, C., Krausgruber, T., Traxler, P., Klughammer, J., Schuster, L. C., Kuchler, A., Alpar, D., & Bock, C. (2017) · Nature Methods · doi:10.1038/nmeth.4177 · Cited by 1,096 · see citing works
Koike-Yusa, H., Li, Y., Tan, E.-P., Velasco-Herrera, M. D. C., & Yusa, K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2800 · Cited by 1,064 · see citing works
Niu, Y., Shen, B., Cui, Y., Chen, Y., Wang, J., Wang, L., Kang, Y., Zhao, X., Si, W., Li, W., et al. (2014) · Cell · doi:10.1016/j.cell.2014.01.027 · Cited by 1,033 · see citing works
RNA-Guided RNA Cleavage by a CRISPR RNA-Cas Protein Complex
Hale, C. R., Zhao, P., Olson, S., Duff, M. O., Graveley, B. R., Wells, L., Terns, R. M., & Terns, M. P. (2009) · Cell · doi:10.1016/j.cell.2009.07.040 · Cited by 1,031 · see citing works
Thakore, P. I., D'Ippolito, A. M., Song, L., Safi, A., Shivakumar, N. K., Kabadi, A. M., Reddy, T. E., Crawford, G. E., & Gersbach, C. A. (2015) · Nature Methods · doi:10.1038/nmeth.3630 · Cited by 1,012 · see citing works
p53 inhibits CRISPR–Cas9 engineering in human pluripotent stem cells
Ihry, R. J., Worringer, K. A., Salick, M. R., Frias, E., Ho, D., Theriault, K., Kommineni, S., Chen, J., Sondey, M., Ye, C., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0050-6 · Cited by 978 · see citing works
Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain
Lake, B. B., Ai, R., Kaeser, G. E., Salathia, N. S., Yung, Y. C., Liu, R., Wildberg, A., Gao, D., Fung, H.-L., Chen, S., et al. (2016) · Science · doi:10.1126/science.aaf1204 · Cited by 957 · see citing works
BCL11A enhancer dissection by Cas9-mediated in situ saturating mutagenesis
Canver, M. C., Smith, E. C., Sher, F., Pinello, L., Sanjana, N. E., Shalem, O., Chen, D. D., Schupp, P. G., Vinjamur, D. S., Garcia, S. P., et al. (2015) · Nature · doi:10.1038/nature15521 · Cited by 886 · see citing works
Dopamine oxidation mediates mitochondrial and lysosomal dysfunction in Parkinson’s disease
Burbulla, L. F., Song, P., Mazzulli, J. R., Zampese, E., Wong, Y. C., Jeon, S., Santos, D. P., Blanz, J., Obermaier, C. D., Strojny, C., et al. (2017) · Science · doi:10.1126/science.aam9080 · Cited by 874 · see citing works
Molecular diversity of midbrain development in mouse, human, and stem cells
La Manno, G., Gyllborg, D., Codeluppi, S., Nishimura, K., Salto, C., Zeisel, A., Borm, L. E., Stott, S. R. W., Toledo, E. M., Villaescusa, J. C., et al. (2016) · Cell · doi:10.1016/j.cell.2016.09.027 · Cited by 835 · see citing works
Brain cell type–specific enhancer–promoter interactome maps and disease <b>-</b> risk association
Nott, A., Holtman, I. R., Coufal, N. G., Schlachetzki, J. C. M., Yu, M., Hu, R., Han, C. Z., Pena, M., Xiao, J., Wu, Y., et al. (2019) · Science · doi:10.1126/science.aay0793 · Cited by 823 · see citing works
The Post-GWAS Era: From Association to Function
Gallagher, M. D., & Chen-Plotkin, A. S. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.04.002 · Cited by 822 · see citing works
Human iPSC-based modeling of late-onset disease via progerin-induced aging
Miller, J. D., Ganat, Y. M., Kishinevsky, S., Bowman, R. L., Liu, B., Tu, E. Y., Mandal, P. K., Vera, E., Shim, J.-W., Kriks, S., et al. (2013) · Cell stem cell · doi:10.1016/j.stem.2013.11.006 · Cited by 777 · see citing works
Dissecting Immune Circuits by Linking CRISPR-Pooled Screens with Single-Cell RNA-Seq
Jaitin, D. A., Weiner, A., Yofe, I., Lara-Astiaso, D., Keren-Shaul, H., David, E., Salame, T. M., Tanay, A., van Oudenaarden, A., & Amit, I. (2016) · Cell · doi:10.1016/j.cell.2016.11.039 · Cited by 777 · see citing works
Mertens, J., Paquola, A. C. M., Ku, M., Hatch, E., Böhnke, L., Ladjevardi, S., McGrath, S., Campbell, B., Lee, H., Herdy, J. R., et al. (2015) · Cell Stem Cell · doi:10.1016/j.stem.2015.09.001 · Cited by 765 · see citing works
Kondo, T., Asai, M., Tsukita, K., Kutoku, Y., Ohsawa, Y., Sunada, Y., Imamura, K., Egawa, N., Yahata, N., Okita, K., et al. (2013) · Cell Stem Cell · doi:10.1016/j.stem.2013.01.009 · Cited by 741 · see citing works
High-throughput screening of a CRISPR/Cas9 library for functional genomics in human cells
Zhou, Y., Zhu, S., Cai, C., Yuan, P., Li, C., Huang, Y., & Wei, W. (2014) · Nature · doi:10.1038/nature13166 · Cited by 733 · see citing works
Soldner, F., Laganière, J., Cheng, A. W., Hockemeyer, D., Gao, Q., Alagappan, R., Khurana, V., Golbe, L. I., Myers, R. H., Lindquist, S., et al. (2011) · Cell · doi:10.1016/j.cell.2011.06.019 · Cited by 728 · see citing works
C9orf72-mediated ALS and FTD: multiple pathways to disease
Balendra, R., & Isaacs, A. M. (2018) · Nature Reviews Neurology · doi:10.1038/s41582-018-0047-2 · Cited by 715 · see citing works
Generation of transgenic non-human primates with germline transmission
Sasaki, E., Suemizu, H., Shimada, A., Hanazawa, K., Oiwa, R., Kamioka, M., Tomioka, I., Sotomaru, Y., Hirakawa, R., Eto, T., et al. (2009) · Nature · doi:10.1038/nature08090 · Cited by 712 · see citing works
A brief history of human disease genetics
Claussnitzer, M., Cho, J. H., Collins, R., Cox, N. J., Dermitzakis, E. T., Hurles, M. E., Kathiresan, S., Kenny, E. E., Lindgren, C. M., MacArthur, D. G., et al. (2020) · Nature · doi:10.1038/s41586-019-1879-7 · Cited by 697 · see citing works
A Single Oncogenic Enhancer Rearrangement Causes Concomitant EVI1 and GATA2 Deregulation in Leukemia
Gröschel, S., Sanders, M. A., Hoogenboezem, R., de Wit, E., Bouwman, B. A. M., Erpelinck, C., van der Velden, V. H. J., Havermans, M., Avellino, R., van Lom, K., et al. (2014) · Cell · doi:10.1016/j.cell.2014.02.019 · Cited by 687 · see citing works
Friedman, B. A., Srinivasan, K., Ayalon, G., Meilandt, W. J., Lin, H., Huntley, M. A., Cao, Y., Lee, S.-H., Haddick, P. C. G., Ngu, H., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2017.12.066 · Cited by 662 · see citing works
Functional annotation of native enhancers with a Cas9–histone demethylase fusion
Kearns, N. A., Pham, H., Tabak, B., Genga, R. M., Silverstein, N. J., Garber, M., & Maehr, R. (2015) · Nature Methods · doi:10.1038/nmeth.3325 · Cited by 656 · see citing works
A 3D human triculture system modeling neurodegeneration and neuroinflammation in Alzheimer’s disease
Park, J., Wetzel, I., Marriott, I., Dréau, D., D’Avanzo, C., Kim, D. Y., Tanzi, R. E., & Cho, H. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0175-4 · Cited by 644 · see citing works
Programmable RNA recognition and cleavage by CRISPR/Cas9
O’Connell, M. R., Oakes, B. L., Sternberg, S. H., East-Seletsky, A., Kaplan, M., & Doudna, J. A. (2014) · Nature · doi:10.1038/nature13769 · Cited by 631 · see citing works
A Genome-wide Framework for Mapping Gene Regulation via Cellular Genetic Screens
Gasperini, M., Hill, A. J., McFaline-Figueroa, J. L., Martin, B., Kim, S., Zhang, M. D., Jackson, D., Leith, A., Schreiber, J., Noble, W. S., et al. (2019) · Cell · doi:10.1016/j.cell.2018.11.029 · Cited by 613 · see citing works
Bershteyn, M., Nowakowski, T. J., Pollen, A. A., Di Lullo, E., Nene, A., Wynshaw-Boris, A., & Kriegstein, A. R. (2017) · Cell Stem Cell · doi:10.1016/j.stem.2016.12.007 · Cited by 566 · see citing works
CRISPR Interference-Based Platform for Multimodal Genetic Screens in Human iPSC-Derived Neurons
Tian, R., Gachechiladze, M. A., Ludwig, C. H., Laurie, M. T., Hong, J. Y., Nathaniel, D., Prabhu, A. V., Fernandopulle, M. S., Patel, R., Abshari, M., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.07.014 · Cited by 543 · see citing works
Self-citationLRP1 is a master regulator of tau uptake and spread
Rauch, J. N., Luna, G., Guzman, E., Audouard, M., Challis, C., Sibih, Y. E., Leshuk, C., Hernandez, I., Wegmann, S., Hyman, B. T., et al. (2020) · Nature · doi:10.1038/s41586-020-2156-5 · Cited by 541 · see citing works
Self-citationMimitou, E. P., Cheng, A., Montalbano, A., Hao, S., Stoeckius, M., Legut, M., Roush, T., Herrera, A., Papalexi, E., Ouyang, Z., et al. (2019) · Nature Methods · doi:10.1038/s41592-019-0392-0 · Cited by 520 · see citing works
Molecular characterization of selectively vulnerable neurons in Alzheimer’s disease
Leng, K., Li, E., Eser, R., Piergies, A., Sit, R., Tan, M., Neff, N., Li, S. H., Rodriguez, R. D., Suemoto, C. K., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-020-00764-7 · Cited by 485 · see citing works
Self-citationYan, W. X., Chong, S., Zhang, H., Makarova, K. S., Koonin, E. V., Cheng, D. R., & Scott, D. A. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.02.028 · Cited by 456 · see citing works
Wang, C., Najm, R., Xu, Q., Jeong, D.-E., Walker, D., Balestra, M. E., Yoon, S. Y., Yuan, H., Li, G., Miller, Z. A., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0004-z · Cited by 428 · see citing works
A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer's disease
The International Genomics of Alzheimer's Project, Huang, K.-L., Initiative, T. A. D. N., Marcora, E., Pimenova, A. A., Di Narzo, A. F., Kapoor, M., Jin, S. C., Harari, O., Bertelsen, S., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4587 · Cited by 423 · see citing works
Massively parallel Cas13 screens reveal principles for guide RNA design
Wessels, H.-H., Méndez-Mancilla, A., Guo, X., Legut, M., Daniloski, Z., & Sanjana, N. E. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0456-9 · Cited by 418 · see citing works
Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis
Tian, R., Abarientos, A., Hong, J., Hashemi, S. H., Yan, R., Dräger, N., Leng, K., Nalls, M. A., Singleton, A. B., Xu, K., et al. (2020) · doi:10.1101/2020.06.27.175679 · Cited by 414 · see citing works
Self-citationGenome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis
Tian, R., Abarientos, A., Hong, J., Hashemi, S. H., Yan, R., Dräger, N., Leng, K., Nalls, M. A., Singleton, A. B., Xu, K., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00862-0 · Cited by 414 · see citing works
Self-citationWang, C., Ward, M. E., Chen, R., Liu, K., Tracy, T. E., Chen, X., Xie, M., Sohn, P. D., Ludwig, C., Meyer-Franke, A., et al. (2017) · Stem Cell Reports · doi:10.1016/j.stemcr.2017.08.019 · Cited by 400 · see citing works
Exploring genetic interaction manifolds constructed from rich single-cell phenotypes
Norman, T. M., Horlbeck, M. A., Replogle, J. M., Ge, A. Y., Xu, A., Jost, M., Gilbert, L. A., & Weissman, J. S. (2019) · Science · doi:10.1126/science.aax4438 · Cited by 392 · see citing works
A Systematic Mammalian Genetic Interaction Map Reveals Pathways Underlying Ricin Susceptibility
Bassik, M. C., Kampmann, M., Lebbink, R. J., Wang, S., Hein, M. Y., Poser, I., Weibezahn, J., Horlbeck, M. A., Chen, S., Mann, M., et al. (2013) · Cell · doi:10.1016/j.cell.2013.01.030 · Cited by 365 · see citing works
Self-citationEarly frontotemporal dementia targets neurons unique to apes and humans
Seeley, W. W., Carlin, D. A., Allman, J. M., Macedo, M. N., Bush, C., Miller, B. L., & DeArmond, S. J. (2006) · Annals of Neurology · doi:10.1002/ana.21055 · Cited by 364 · see citing works
Human pluripotent stem cell-derived neural constructs for predicting neural toxicity
Schwartz, M. P., Hou, Z., Propson, N. E., Zhang, J., Engstrom, C. J., Costa, V. S., Jiang, P., Nguyen, B. K., Bolin, J. M., Daly, W., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1516645112 · Cited by 325 · see citing works
Optical Pooled Screens in Human Cells
Feldman, D., Singh, A., Schmid-Burgk, J. L., Carlson, R. J., Mezger, A., Garrity, A. J., Zhang, F., & Blainey, P. C. (2019) · Cell · doi:10.1016/j.cell.2019.09.016 · Cited by 321 · see citing works
Mapping the Genetic Landscape of Human Cells
Horlbeck, M. A., Xu, A., Wang, M., Bennett, N. K., Park, C. Y., Bogdanoff, D., Adamson, B., Chow, E. D., Kampmann, M., Peterson, T. R., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.010 · Cited by 319 · see citing works
Self-citationKwart, D., Gregg, A., Scheckel, C., Murphy, E. A., Paquet, D., Duffield, M. D., Fak, J. J., Olsen, O., Darnell, R. B., & Tessier‐Lavigne, M. (2019) · Neuron · doi:10.1016/j.neuron.2019.07.010 · Cited by 317 · see citing works
Massively parallel assessment of human variants with base editor screens
Hanna, R. E., Hegde, M., Fagre, C. R., DeWeirdt, P. C., Sangree, A. K., Szegletes, Z., Griffith, A., Feeley, M. N., Sanson, K. R., Baidi, Y., et al. (2021) · Cell · doi:10.1016/j.cell.2021.01.012 · Cited by 316 · see citing works
Massively parallel assessment of human variants with base editor screens
Hanna, R. E., Hegde, M., Fagre, C. R., DeWeirdt, P. C., Sangree, A. K., Szegletes, Z., Griffith, A., Feeley, M. N., Sanson, K. R., Baidi, Y., et al. (2020) · doi:10.1101/2020.05.17.100818 · Cited by 314 · see citing works
Yamanaka, K., Boillee, S., Roberts, E. A., Garcia, M. L., McAlonis-Downes, M., Mikse, O. R., Cleveland, D. W., & Goldstein, L. S. B. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0802556105 · Cited by 309 · see citing works
Age-related declines in nigral neuronal function correlate with motor impairments in rhesus monkeys
Emborg, M. E., Ma, S. Y., Mufson, E. J., Levey, A. I., Taylor, M. D., Brown, W. D., Holden, J. E., & Kordower, J. H. (1998) · The Journal of Comparative Neurology · doi:10.1002/(sici)1096-9861(19981116)401:2 · Cited by 298 · see citing works
[Apolipoprotein E polymorphism and Alzheimer disease].
van der Weide, J., Steijns, L. S. W., Jl, T., Wj, N., & Klaverwijden, G. (1996) · PubMed · Cited by 297 · see citing works
Elimination of Toxic Microsatellite Repeat Expansion RNA by RNA-Targeting Cas9
Batra, R., Nelles, D. A., PIRIE, E. C., Blue, S. M., Marina, R. J., Wang, H., Chaim, I. A., Thomas, J. D., Zhang, N., Nguyen, V., et al. (2017) · Cell · doi:10.1016/j.cell.2017.07.010 · Cited by 252 · see citing works
Finch, N., Carrasquillo, M. M., Baker, M., Rutherford, N. J., Coppola, G., DeJesus-Hernandez, M., Crook, R., Hunter, T., Ghidoni, R., Benussi, L., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31820a0e3b · Cited by 243 · see citing works
Functional disruption of the dystrophin gene in rhesus monkey using CRISPR/Cas9
Chen, Y., Zheng, Y., Kang, Y., Yang, W., Niu, Y., Guo, X., Tu, Z., Si, C., Wang, H., Xing, R., et al. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv120 · Cited by 241 · see citing works
Jost, M., Chen, Y., Gilbert, L. A., Horlbeck, M. A., Krenning, L., Menchon, G., Rai, A., Cho, M. Y., Stern, J. J., Prota, A. E., et al. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.09.012 · Cited by 241 · see citing works
Self-citationKramer, N. J., Haney, M. S., Morgens, D. W., Jovičić, A., Couthouis, J., Li, A., Ousey, J., Ma, R., Bieri, G., Tsui, C. K., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0070-7 · Cited by 226 · see citing works
Untangling Genetic Risk for Alzheimer’s Disease
Pimenova, A. A., Raj, T., & Goate, A. M. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.05.014 · Cited by 223 · see citing works
Synergistic effects of common schizophrenia risk variants
Schrode, N., Ho, S., Yamamuro, K., Dobbyn, A. L., Huckins, L. M., Matos, M. R., Cheng, E., Deans, P. J. M., Flaherty, E. K., Barretto, N., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0497-5 · Cited by 223 · see citing works
Tau Internalization is Regulated by 6-O Sulfation on Heparan Sulfate Proteoglycans (HSPGs)
Rauch, J. N., Chen, J. J., Sorum, A. W., Miller, G. M., Sharf, T., See, S. K., Hsieh-Wilson, L. C., Kampmann, M., & Kosik, K. S. (2018) · Scientific Reports · doi:10.1038/s41598-018-24904-z · Cited by 211 · see citing works
Self-citationLin, Y.-T., Seo, J., Gao, F., Feldman, H. M., Wen, H.-L., Penney, J., Cam, H. P., Gjoneska, E., Raja, W. K., Cheng, J., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.06.011 · Cited by 210 · see citing works
Assembling human brain organoids
Paşca, S. P. (2019) · Science · doi:10.1126/science.aau5729 · Cited by 208 · see citing works
Modeling Rett Syndrome Using TALEN-Edited MECP2 Mutant Cynomolgus Monkeys
Chen, Y., Yu, J., Niu, Y., Qin, D., Liu, H., Li, G., Hu, Y., Wang, J., Lu, Y., Kang, Y., et al. (2017) · Cell · doi:10.1016/j.cell.2017.04.035 · Cited by 204 · see citing works
TALEN-Mediated Gene Mutagenesis in Rhesus and Cynomolgus Monkeys
Liu, H., Chen, Y., Niu, Y., Zhang, K., Kang, Y., Ge, W., Liu, X., Zhao, E., Wang, C., Lin, S., et al. (2014) · Cell Stem Cell · doi:10.1016/j.stem.2014.01.018 · Cited by 200 · see citing works
Functional Studies of Missense TREM2 Mutations in Human Stem Cell-Derived Microglia
Brownjohn, P. W., Smith, J., Solanki, R., Lohmann, E., Houlden, H., Hardy, J., Dietmann, S., & Livesey, F. J. (2018) · Stem Cell Reports · doi:10.1016/j.stemcr.2018.03.003 · Cited by 193 · see citing works
Identification of phagocytosis regulators using magnetic genome-wide CRISPR screens
Haney, M. S., Bohlen, C. J., Morgens, D. W., Ousey, J. A., Barkal, A. A., Tsui, C. K., Ego, B. K., Levin, R., Kamber, R. A., Collins, H., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0254-1 · Cited by 193 · see citing works
Alzheimer's Disease, Apolipoprotein E4, and Gender
Payami, H. (1994) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1994.03510410028015 · Cited by 190 · see citing works
Cruchaga, C., Graff, C., Chiang, H., Wang, J., Hinrichs, A. L., Spiegel, N., Bertelsen, S. E., Mayo, K., Norton, J. B., Morris, J. C., et al. (2011) · Archives of Neurology · doi:10.1001/archneurol.2010.350 · Cited by 186 · see citing works
Tang, M. X., Maestre, G. E., Tsai, W., Liu, X., Feng, L., Chung, W.-Y., Chun, M. R., Schofield, P. R., Stern, Y., Tycko, B., et al. (1996) · PubMed Central · doi:10.7916/d80v9r96 · Cited by 184 · see citing works
Stopschinski, B. E., Holmes, B. B., Miller, G. M., Manon, V. A., Vaquer-Alicea, J., Prueitt, W. L., Hsieh-Wilson, L. C., & Diamond, M. I. (2018) · Journal of Biological Chemistry · doi:10.1074/jbc.ra117.000378 · Cited by 180 · see citing works
Vera, E., Bosco, N., & Studer, L. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.09.062 · Cited by 175 · see citing works
Chen, J. J., Nathaniel, D. L., Raghavan, P., Nelson, M., Tian, R., Tse, E., Hong, J. Y., See, S. K., Mok, S.-A., Hein, M. Y., et al. (2019) · Journal of Biological Chemistry · doi:10.1074/jbc.ra119.009432 · Cited by 170 · see citing works
Self-citationEfficient in vivo deletion of a large imprinted lncRNA by CRISPR/Cas9
Han, J., Zhang, J., Chen, L., Shen, B., Zhou, J., Hu, B., Du, Y., Tate, P. H., Huang, X., & Zhang, W. (2014) · RNA Biology · doi:10.4161/rna.29624 · Cited by 168 · see citing works
Constructing and Deconstructing Stem Cell Models of Neurological Disease
Han, S. S. W., Williams, L. A., & Eggan, K. C. (2011) · Neuron · doi:10.1016/j.neuron.2011.05.003 · Cited by 159 · see citing works
Sato, K., Oiwa, R., Kumita, W., Henry, R., Sakuma, T., Ito, R., Nozu, R., Inoue, T., Katano, I., Sato, K., et al. (2016) · Cell Stem Cell · doi:10.1016/j.stem.2016.06.003 · Cited by 159 · see citing works
UBA1: At the Crossroads of Ubiquitin Homeostasis and Neurodegeneration
Groen, E. J. N., & Gillingwater, T. H. (2015) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2015.08.003 · Cited by 157 · see citing works
Dual gene activation and knockout screen reveals directional dependencies in genetic networks
Boettcher, M., Tian, R., Blau, J. A., Markegard, E., Wagner, R. T., Wu, D., Mo, X., Biton, A., Zaitlen, N., Fu, H., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4062 · Cited by 152 · see citing works
Self-citationCheng, W., Wang, S., Zhang, Z., Morgens, D. W., Hayes, L. R., Lee, S., Portz, B., Xie, Y., Nguyen, B. V., Haney, M. S., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.09.003 · Cited by 138 · see citing works
Boivin, M., Pfister, V., Gaucherot, A., Ruffenach, F., Negroni, L., Sellier, C., & Charlet‐Berguerand, N. (2020) · The EMBO Journal · doi:10.15252/embj.2018100574 · Cited by 137 · see citing works
Kampmann, M., Bassik, M. C., & Weissman, J. S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1307002110 · Cited by 123 · see citing works
Self-citationFong, H., Wang, C., Knoferle, J., Walker, D., Balestra, M. E., Tong, L. M., Leung, L., Ring, K. L., Seeley, W. W., Karydas, A., et al. (2013) · Stem Cell Reports · doi:10.1016/j.stemcr.2013.08.001 · Cited by 122 · see citing works
Diverse reprogramming codes for neuronal identity
Tsunemoto, R. K., Lee, S., Szűcs, A. L., Chubukov, P., Sokolova, I., Blanchard, J., Eade, K., Bruggemann, J., Wu, C., Torkamani, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0103-5 · Cited by 122 · see citing works
Kim, Y., Zheng, X., Ansari, Z., Bunnell, M. C., Herdy, J. R., Traxler, L., Lee, H., Paquola, A. C. M., Blithikioti, C., Ku, M., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.04.105 · Cited by 117 · see citing works
Complementary information derived from CRISPR Cas9 mediated gene deletion and suppression
Rosenbluh, J., Xu, H., Harrington, W., Gill, S., Wang, X., Vázquez, F., Root, D. E., Tsherniak, A., & Hahn, W. C. (2017) · Nature Communications · doi:10.1038/ncomms15403 · Cited by 111 · see citing works
Imaging-based pooled CRISPR screening reveals regulators of lncRNA localization
Wang, C., Lu, T., Emanuel, G., Babcock, H. P., & Zhuang, X. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1903808116 · Cited by 111 · see citing works
Aged Non‐Human Primates: An Animal Model of Age‐Associated Neurodegenerative Disease
Price, D. L., Martin, L. J., Sisodia, S. S., Wagster, M. V., Koo, E. H., Walker, L. C., Koliatsos, V. E., & Cork, L. C. (1991) · Brain Pathology · doi:10.1111/j.1750-3639.1991.tb00672.x · Cited by 100 · see citing works
Potting, C., Crochemore, C., Moretti, F., Nigsch, F., Schmidt, I., Manneville, C., Carbone, W., Knehr, J., DeJesus, R., Lindeman, A., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1711023115 · Cited by 93 · see citing works
Rousseau, B. A., Hou, Z., Gramelspacher, M. J., & Zhang, Y. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.01.025 · Cited by 85 · see citing works
Initiative, F. T. A. D. N., Ridge, P. G., Karch, C. M., Hsu, S., Arano, I., Teerlink, C. C., Ebbert, M. T. W., Gonzalez Murcia, J. D., Farnham, J. M., Damato, A. R., et al. (2017) · Genome Medicine · doi:10.1186/s13073-017-0486-1 · Cited by 83 · see citing works
A Primer on Concepts and Applications of Proteomics in Neuroscience
Hosp, F., & Mann, M. (2017) · Neuron · doi:10.1016/j.neuron.2017.09.025 · Cited by 77 · see citing works
Jiang, S., Wen, N., Li, Z., Dube, U., Del Aguila, J., Budde, J., Martinez, R., Hsu, S., Fernandez, M. V., Cairns, N. J., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0319-z · Cited by 73 · see citing works
Kwart, D., Gregg, A., Scheckel, C., Murphy, E. A., Paquet, D., Duffield, M., Fak, J., Olsen, O., Darnell, R. B., & Tessier-Lavigne, M. (2019) · Neuron · doi:10.1016/j.neuron.2019.11.010 · Cited by 70 · see citing works
Maloney, B., Ge, Y., Alley, G. M., & Lahiri, D. K. (2007) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2007.04831.x · Cited by 63 · see citing works
Rousseaux, M. W. C., Vázquez-Vélez, G. E., Al-Ramahi, I., Jeong, H.-H., Bajić, A., Revelli, J.-P., Ye, H., Phan, E. T., Deger, J. M., Perez, A. M., et al. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.0254-18.2018 · Cited by 61 · see citing works
Multifocal Pigmentation of Prostatic and Bladder Urothelium
Alroy, J., Ucci, A. A., Heaney, J. A., Mitcheson, H. D., Gavris, V. E., & Woods, W. (1986) · The Journal of Urology · doi:10.1016/s0022-5347(17)44743-4 · Cited by 57 · see citing works
CRISPR-based screens uncover determinants of immunotherapy response in multiple myeloma
Ramkumar, P., Abarientos, A., Tian, R., Seyler, M., Leong, J. T., Chen, M., Choudhry, P., Hechler, T., Shah, N. D., Wong, S. W. K., et al. (2020) · Blood Advances · doi:10.1182/bloodadvances.2019001346 · Cited by 54 · see citing works
Self-citationGriffith, B. P., Askenase, P. W., & Hsiung, G. D. (1982) · Cellular Immunology · doi:10.1016/0008-8749(82)90058-2 · Cited by 53 · see citing works
Cardiologists Send Up a Trial Balloon in New Efforts To Relieve Heart Failure
Goldsmith, M. F. (1987) · JAMA · doi:10.1001/jama.1987.03390030015003 · Cited by 52 · see citing works
TALEN-based generation of a cynomolgus monkey disease model for human microcephaly
Ke, Q., Li, W., Lai, X., Chen, H., Huang, L., Kang, Z., Li, K., Ren, J., Lin, X., Zheng, H., et al. (2016) · Cell Research · doi:10.1038/cr.2016.93 · Cited by 47 · see citing works
Molecular characterization of selectively vulnerable neurons in Alzheimer’s DiseasePreprint
Leng, K., Li, E., Eser, R. A., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.04.025825 · Cited by 34 · see citing works
Elucidating drug targets and mechanisms of action by genetic screens in mammalian cells
Kampmann, M. (2017) · Chemical Communications · doi:10.1039/c7cc02349a · Cited by 29 · see citing works
Self-citationGeneration of iPSC lines from archived non-cryoprotected biobanked dura mater
Sproul, A. A., Vensand, L. B., Dusenberry, C. R., Jacob, S., Vonsattel, J. P. G., Paull, D. J., Shelanski, M. L., Crary, J. F., & Noggle, S. A. (2014) · Acta Neuropathologica Communications · doi:10.1186/2051-5960-2-4 · Cited by 27 · see citing works
Perrase, N. I., Nv, K., Tn, K., Vladimirov, I. A., & Eĭdus, L. K. (1968) · PubMed · Cited by 27 · see citing works
A CRISPR Approach to Neurodegenerative Diseases
Kampmann, M. (2017) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2017.04.003 · Cited by 27 · see citing works
Self-citationChai, N., Haney, M. S., Couthouis, J., Morgens, D. W., Benjamin, A., Wu, K., Ousey, J., Fang, S., Finer, S., Bassik, M. C., et al. (2020) · Brain Research · doi:10.1016/j.brainres.2019.146601 · Cited by 26 · see citing works
Doublecortin-like Kinase 1 Regulates α-Synuclein Levels and Toxicity
Vázquez-Vélez, G. E., Gonzales, K. A., Revelli, J.-P., Adamski, C. J., Alavi Naini, F., Bajić, A., Craigen, E., Richman, R., Heman-Ackah, S. M., Wood, M. J. A., et al. (2020) · The Journal of Neuroscience · doi:10.1523/jneurosci.1076-19.2019 · Cited by 22 · see citing works
Nursing management of the head injured patient.
Kunkel, J. (1981) · PubMed · Cited by 18 · see citing works
Tau Internalization is Regulated by 6-O Sulfation on Heparan Sulfate Proteoglycans (HSPGs)Preprint
Rauch, J. N., Chen, J. J.-W., Sorum, A. W., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/167874 · Cited by 16 · see citing works
Chen, J. J.-W., Nathaniel, D. L., Raghavan, P., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/637785 · Cited by 16 · see citing works
Riches, E. W. (1967) · Academic Medicine · doi:10.1097/00001888-196704000-00006 · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Molecular characterization of selectively vulnerable neurons in Alzheimer’s disease
Leng, K., Li, E., Eser, R., Piergies, A., Sit, R., Tan, M., Neff, N., Li, S. H., Rodriguez, R. D., Suemoto, C. K., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-020-00764-7 · Cited by 485 · see citing works
Self-citationGenome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis
Tian, R., Abarientos, A., Hong, J., Hashemi, S. H., Yan, R., Dräger, N., Leng, K., Nalls, M. A., Singleton, A. B., Xu, K., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00862-0 · Cited by 414 · see citing works
Self-citationQuantitative magnetic resonance imaging of brain anatomy and in vivo histology
Weiskopf, N., Edwards, L., Helms, G., Mohammadi, S., & Kirilina, E. P. (2021) · Nature Reviews Physics · doi:10.1038/s42254-021-00326-1 · Cited by 294 · see citing works
A new era in functional genomics screens
Przybyla, L., & Gilbert, L. A. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-021-00409-w · Cited by 281 · see citing works
A CRISPRi/a platform in human iPSC-derived microglia uncovers regulators of disease states
Dräger, N. M., Sattler, S. M., Huang, C. T.-L., Teter, O. M., Leng, K., Hashemi, S. H., Hong, J., Aviles, G., Clelland, C. D., Zhan, L., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01131-4 · Cited by 258 · see citing works
Self-citationGenomics, convergent neuroscience and progress in understanding autism spectrum disorder
Willsey, H. R., Willsey, A. J., Wang, B., & State, M. W. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00576-7 · Cited by 229 · see citing works
Leng, K., Rose, I. V. L., Kim, H., Xia, W., Romero‐Fernandez, W., Rooney, B., Koontz, M., Li, E., Ao, Y., Wang, S., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01180-9 · Cited by 154 · see citing works
Self-citationMolecular and cellular mechanisms of selective vulnerability in neurodegenerative diseases
Kampmann, M. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00806-0 · Cited by 138 · see citing works
Self-citationCore transcription programs controlling injury-induced neurodegeneration of retinal ganglion cells
Tian, F., Cheng, Y., Zhou, S., Wang, Q., Monavarfeshani, A., Gao, K., Jiang, W., Kawaguchi, R., Wang, Q., Tang, M., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.06.003 · Cited by 125 · see citing works
Genetic glycoengineering in mammalian cells
Narimatsu, Y., Büll, C., Chen, Y., Wandall, H. H., Yang, Z., & Clausen, H. (2021) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2021.100448 · Cited by 100 · see citing works
Gene therapy for CNS disorders: modalities, delivery and translational challenges
Gao, J., Gunasekar, S., Xia, Z. J., Shalin, K., Jiang, C., Chen, H., Lee, D., Lee, S., Pisal, N. D., Luo, J. N., et al. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00829-7 · Cited by 96 · see citing works
Luo, M., Lee, L. K. C., Peng, B., Choi, C. H. J., Tong, W. Y., & Voelcker, N. H. (2022) · Advanced Science · doi:10.1002/advs.202201740 · Cited by 81 · see citing works
Enhancer Function and Evolutionary Roles of Human Accelerated Regions
Whalen, S., & Pollard, K. S. (2022) · Annual Review of Genetics · doi:10.1146/annurev-genet-071819-103933 · Cited by 70 · see citing works
Genome Editing in iPSC-Based Neural Systems: From Disease Models to Future Therapeutic Strategies
McTague, A., Rossignoli, G., Ferrini, A., Barral, S., & Kurian, M. A. (2021) · Frontiers in Genome Editing · doi:10.3389/fgeed.2021.630600 · Cited by 67 · see citing works
“Stripe” transcription factors provide accessibility to co-binding partners in mammalian genomes
Zhao, Y., Vartak, S. V., Conte, A., Wang, X., Garcia, D. A., Stevens, E., Jung, S. K., Kieffer-Kwon, K.-R., Vian, L., Stodola, T. J., et al. (2022) · Molecular Cell · doi:10.1016/j.molcel.2022.06.029 · Cited by 62 · see citing works
Developing nociceptor-selective treatments for acute and chronic pain
Jayakar, S. S., Shim, J., Jo, S., Bean, B. P., Singeç, I., & Woolf, C. J. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abj9837 · Cited by 60 · see citing works
Gaucher disease provides a unique window into Parkinson disease pathogenesis
Hertz, E., Chen, Y., & Sidransky, E. (2024) · Nature Reviews Neurology · doi:10.1038/s41582-024-00999-z · Cited by 56 · see citing works
Limone, F., Juan, I. G. S., Mitchell, J. M., Smith, J. L. M., Raghunathan, K., Meyer, D., Ghosh, S. D., Couto, A., Klim, J. R., Joseph, B. J., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2022.111896 · Cited by 52 · see citing works
Yin, J., Frick, L. D., Scheidmann, M. C., Liu, T., Trevisan, C., Dhingra, A., Spinelli, A., Wu, Y., Yao, L., Vena, D. L., et al. (2024) · Nature Biomedical Engineering · doi:10.1038/s41551-024-01278-4 · Cited by 51 · see citing works
Self-citationArroyave, F., Montaño, D., & Lizcano, F. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21228685 · Cited by 48 · see citing works
Advancing preclinical models of psychiatric disorders with human brain organoid cultures
Dixon, T. A., & Muotri, A. R. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01708-2 · Cited by 48 · see citing works
CRISPR-based functional genomics screening in human-pluripotent-stem-cell-derived cell types
Li, K., Ouyang, M., Zhan, J., & Tian, R. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100300 · Cited by 42 · see citing works
Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis
Tian, R., Abarientos, A., Hong, J., Hashemi, S. H., Yan, R., Dräger, N., Leng, K., Nalls, M. A., Singleton, A. B., Xu, K., et al. (2020) · doi:10.1101/2020.06.27.175679 · Cited by 414 · see citing works
Self-citationd’Isa, R., & Gerlai, R. T. (2023) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.1090248 · Cited by 41 · see citing works
Massively Parallel CRISPR‐Based Genetic Perturbation Screening at Single‐Cell Resolution
Cheng, J., Lin, G., Wang, T., Wang, Y., Guo, W., Liao, J., Yang, P., Chen, J., Shao, X., Lu, X., et al. (2022) · Advanced Science · doi:10.1002/advs.202204484 · Cited by 40 · see citing works
Nanoparticle delivery systems for substance use disorder
Kasina, V., Mownn, R. J., Bahal, R., & Sartor, G. C. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-022-01311-7 · Cited by 37 · see citing works
Human Brain Organoids as an In Vitro Model System of Viral Infectious Diseases
Su, X., Yue, P., Kong, J., Xu, X., Zhang, Y. L., Cao, W., Fan, Y., Liu, M., Chen, J., Liu, A., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2021.792316 · Cited by 36 · see citing works
Advancements in CRISPR/Cas systems for disease treatment
Xu, Y., Le, H., Wu, Q., Wang, N., & Gong, C. (2025) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2025.05.007 · Cited by 35 · see citing works
Regenerative neurogenesis: the integration of developmental, physiological and immune signals
Becker, T., & Becker, C. G. (2022) · Development · doi:10.1242/dev.199907 · Cited by 34 · see citing works
Liu, Y., Zhu, K., Peng, W., Liu, Z., & Mao, X. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-026-02631-6 · Cited by 35 · see citing works
Induced Pluripotent Stem Cells in Psychiatry: An Overview and Critical Perspective
Angeles, A. D. L., Fernando, M. B., Hall, N., Brennand, K., Harrison, P. J., Maher, B. J., Weinberger, D. R., & Tunbridge, E. M. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.04.008 · Cited by 34 · see citing works
Disease-associated oligodendroglia: a putative nexus in neurodegeneration
Castelo‐Branco, G., Kukanja, P., Guerreiro‐Cacais, A. O., & Kirby, L. A. (2024) · Trends in Immunology · doi:10.1016/j.it.2024.08.003 · Cited by 33 · see citing works
Khan, M. S., Qureshi, N., Khan, R., Son, Y., & Maqbool, T. (2025) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2025.1578138 · Cited by 33 · see citing works
Resolving Neurodevelopmental and Vision Disorders Using Organoid Single-Cell Multi-omics
Brancati, G., Treutlein, B., & Camp, J. G. (2020) · Neuron · doi:10.1016/j.neuron.2020.09.001 · Cited by 31 · see citing works
Genome-scale CRISPR-Cas9 screening in stem cells: theories, applications and challenges
Zhou, H., Peng, Y., Xiong, W., Duan, X., Jing, S., He, Y., Zeng, Z. R., Wei, Y., & Ye, Q. (2024) · Stem Cell Research & Therapy · doi:10.1186/s13287-024-03831-z · Cited by 29 · see citing works
An Efficient CRISPR/Cas Cooperative Shearing Platform for Clinical Diagnostics Applications
Zhao, J., Kong, D., Zhang, G., Zhang, S., Wu, Y., Dai, C., Chen, Y., Yang, Y., Liu, Y., & Wei, D. (2024) · Angewandte Chemie International Edition · doi:10.1002/anie.202411705 · Cited by 29 · see citing works
Deciphering pathogenicity of variants of uncertain significance with CRISPR-edited iPSCs
Guo, H., Liu, L., Nishiga, M., Cong, L., & Wu, J. C. (2021) · Trends in Genetics · doi:10.1016/j.tig.2021.08.009 · Cited by 27 · see citing works
Nuclear dynamics and stress responses in Alzheimer’s disease
Iatrou, A., Clark, E. M., & Wang, Y. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00489-6 · Cited by 27 · see citing works
Organoid: Bridging the gap between basic research and clinical practice
Weng, G., Tao, J., Liu, Y., Qiu, J., Su, D., Wang, R., Luo, W., & Zhang, T. (2023) · Cancer Letters · doi:10.1016/j.canlet.2023.216353 · Cited by 27 · see citing works
A review of virus host factor discovery using CRISPR screening
See, W. R., Yousefi, M., & Ooi, Y. S. (2024) · mBio · doi:10.1128/mbio.03205-23 · Cited by 26 · see citing works
Pintacuda, G., Martín, J. M., & Eggan, K. C. (2021) · Molecular Autism · doi:10.1186/s13229-021-00417-x · Cited by 26 · see citing works
Myotubularin-related phosphatase 5 is a critical determinant of autophagy in neurons
Chua, J. P., Bedi, K., Paulsen, M. T., Ljungman, M. E., Tank, E. M. H., Kim, E. S., McBride, J. P., Colon, J., Ward, M. E., Weisman, L. S., et al. (2022) · Current Biology · doi:10.1016/j.cub.2022.04.053 · Cited by 25 · see citing works
CRISPRa‐based activation of Fgf21 and Fndc5 ameliorates obesity by promoting adipocytes browning
Zhu, H., Liu, D., Sui, M., Zhou, M., Wang, B., Qi, Q., Wang, T., Zhang, G., Wan, F., & Zhang, B. (2023) · Clinical and Translational Medicine · doi:10.1002/ctm2.1326 · Cited by 25 · see citing works
Gene-environment interactions in birth defect etiology: Challenges and opportunities
Lipinski, R. J., & Krauss, R. S. (2022) · Current topics in developmental biology/Current Topics in Developmental Biology · doi:10.1016/bs.ctdb.2022.10.001 · Cited by 24 · see citing works
Li, X., Sun, S., Zhang, W., Liang, Z., Fang, Y., Sun, T., Wan, Y., Ma, X., Zhang, S.-Q., Xu, Y., et al. (2024) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-024-03027-6 · Cited by 24 · see citing works
Xu, M., Liu, Q., Bi, R., Li, Y., Li, H., Kang, W.-B., Yan, Z., Zheng, Q., Sun, C., Ye, M., et al. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.05.020 · Cited by 21 · see citing works
Metabolic mapping of the human solute carrier superfamily
Wiedmer, T., Teoh, S. T., Christodoulaki, E., Wolf, G., Tian, C., Sedlyarov, V., Jarret, A. P., Leippe, P., Frommelt, F., Inglés‐Prieto, Á., et al. (2025) · Molecular Systems Biology · doi:10.1038/s44320-025-00106-4 · Cited by 21 · see citing works
CRISPR in Neurodegenerative Diseases Treatment: An Alternative Approach to Current Therapies
Akbar, A., Haider, R., Agnello, L., Noor, B., Maqsood, N., Atif, F., Ali, W., Ciaccio, M., & Tariq, H. (2025) · Genes · doi:10.3390/genes16080850 · Cited by 20 · see citing works
CRISPR-Cas-based colorimetric strategies for nucleic acids detection
Yang, Y., Li, X., Wang, X., Wang, Z., & Gong, S. (2024) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2024.118058 · Cited by 20 · see citing works
Li, Y., Chang, X., Wu, J., Liu, Y., Wang, H., & Zhang, Y. (2025) · Brain Network Disorders · doi:10.1016/j.bnd.2025.04.001 · Cited by 19 · see citing works
Microinjection of antisense oligonucleotides into living mouse testis enables lncRNA function study
Chen, Z., Ling, L., Shi, X., Li, W., Zhai, H., Kang, Z., Zheng, B., Zhu, J., Ye, S., Wang, H., et al. (2021) · Cell & Bioscience · doi:10.1186/s13578-021-00717-y · Cited by 19 · see citing works
Mitochondrial Phenotypes in Parkinson’s Diseases—A Focus on Human iPSC-Derived Dopaminergic Neurons
Heger, L. M., Wise, R. M., Hees, J. T., Harbauer, A. B., & Burbulla, L. F. (2021) · Cells · doi:10.3390/cells10123436 · Cited by 19 · see citing works
Modeling Movement Disorders via Generation of hiPSC-Derived Motor Neurons
Akter, M., & Ding, B. (2022) · Cells · doi:10.3390/cells11233796 · Cited by 18 · see citing works
Long, E., Wan, P., Chen, Q., Lu, Z., & Choi, J. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100320 · Cited by 18 · see citing works
Shifting the trajectory of therapeutic development for neurological and psychiatric disorders
Krainc, D., Martin, W. J., Casey, B. H., Jensen, F. E., Tishkoff, S. A., Potter, W. Z., & Hyman, S. E. (2023) · Science Translational Medicine · doi:10.1126/scitranslmed.adg4775 · Cited by 18 · see citing works
Modifier pathways in polyglutamine (PolyQ) diseases: from genetic screens to drug targets
Costa, M. D., & Maciel, P. (2022) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-022-04280-8 · Cited by 18 · see citing works
Iannuccelli, M., Vitriolo, A., Licata, L., Surdo, P. L., Contino, S., Cheroni, C., Capocefalo, D., Castagnoli, L., Testa, G., Cesareni, G., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02317-3 · Cited by 16 · see citing works
Towards physiologically relevant human pluripotent stem cell (hPSC) models of Parkinson’s disease
Coccia, E., & Ahfeldt, T. (2021) · Stem Cell Research & Therapy · doi:10.1186/s13287-021-02326-5 · Cited by 16 · see citing works
Bu, Q., Dai, Y., Zhang, H., Li, M., Liu, H., Huang, Y., Zeng, A., Qin, F., Jiang, L., Wang, L., et al. (2023) · Science Advances · doi:10.1126/sciadv.adf2772 · Cited by 15 · see citing works
Neurophysiology of the Developing Cerebral Cortex: What We Have Learned and What We Need to Know
Luhmann, H. J. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.814012 · Cited by 15 · see citing works
Singh, M., Agarwal, V., Jindal, D., Pancham, P., Agarwal, S., Mani, S., Tiwari, R. K., Das, K., Alghamdi, B. S. A., Abujamel, T. S., et al. (2023) · Diagnostics · doi:10.3390/diagnostics13030337 · Cited by 15 · see citing works
From omics to orchard: The role of omics in durian cultivation
Pinsorn, P., & Sirikantaramas, S. (2025) · Current Plant Biology · doi:10.1016/j.cpb.2025.100466 · Cited by 14 · see citing works
Cellular Models and High-Throughput Screening for Genetic Causality of Intellectual Disability
Fell, C. W., & Nagy, V. (2021) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2020.12.003 · Cited by 14 · see citing works
Advances and Challenges of Sensing in Water Using CRISPR-Cas Technology
Safarkhani, M., Far, B. F., Kim, S., Makvandi, P., Park, M., Huh, Y. S., & Rabiee, N. (2024) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.3c01689 · Cited by 13 · see citing works
To Better Generate Organoids, What Can We Learn From Teratomas?
Li, H., Gao, L., Du, J., Ma, T., Ye, Z., & Li, Z. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.700482 · Cited by 13 · see citing works
Unexplored power of CRISPR-Cas9 in neuroscience, a multi-OMICs review
Banazadeh, M., Abiri, A., Poortaheri, M. M., Asnaashari, L., Langarizadeh, M. A., & Forootanfar, H. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.130413 · Cited by 12 · see citing works
Shahid, A., Zahra, A., Aslam, S., Shamim, A., Ali, W. R., Aslam, B., Khan, S. H., & Arshad, M. I. (2025) · Molecular Biotechnology · doi:10.1007/s12033-025-01374-z · Cited by 12 · see citing works
Approaches for completing metabolic networks through metabolite damage and repair discovery
Griffith, C. M., Walvekar, A. S., & Linster, C. L. (2021) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2021.100379 · Cited by 12 · see citing works
The Current Situation and Development Prospect of Whole-Genome Screening
Yang, C., Lei, Y., Ren, T., & Yao, M. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25010658 · Cited by 12 · see citing works
Marei, H. E. S. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-05590-1 · Cited by 11 · see citing works
Hu, W., Wang, X., Ma, S., Peng, Z., Cao, Y., & Xia, Q. (2021) · Insects · doi:10.3390/insects12060552 · Cited by 11 · see citing works
Rare and undiagnosed diseases: From disease-causing gene identification to mechanism elucidation
Wang, G., Xu, Y., Wang, Q., Chai, Y., Sun, X., Yang, F., Zhang, J., Wu, M., Liao, X., Yu, X., et al. (2022) · Fundamental Research · doi:10.1016/j.fmre.2022.09.002 · Cited by 11 · see citing works
Ahmed, M. E., Muffat, J., & Li, Y. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1158373 · Cited by 11 · see citing works
Muhtaseb, A. W., & Duan, J. (2022) · Schizophrenia Research · doi:10.1016/j.schres.2022.04.003 · Cited by 11 · see citing works
Unlocking Glioblastoma Vulnerabilities with CRISPR-Based Genetic Screening
Fang, Y., Li, X., & Tian, R. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25115702 · Cited by 10 · see citing works
Ruan, W., Xu, S., An, Y., Cui, Y., Liu, Y., Wang, Y., Ismail, M., Liu, Y., & Zheng, M. (2024) · Advanced Science · doi:10.1002/advs.202402178 · Cited by 10 · see citing works
Advanced Bioactive Polymers and Materials for Nerve Repair: Strategies and Mechanistic Insights
Puranik, N., Tiwari, S., Kumari, M., Yadav, S. K., Dhakal, T., & Song, M. (2025) · Journal of Functional Biomaterials · doi:10.3390/jfb16070255 · Cited by 10 · see citing works
CRISPR-Cas9 based genome editing for defective gene correction in humans and other mammals
Karapurkar, J. K., Antao, A. M., Kim, K.-S., & Ramakrishna, S. (2021) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2021.01.018 · Cited by 10 · see citing works
CRISPR-based genetic screens in human pluripotent stem cells derived neurons and brain organoids
Guo, Y. F., & Zhao, X. (2024) · Cell and Tissue Research · doi:10.1007/s00441-024-03934-2 · Cited by 9 · see citing works
Can pluripotent/multipotent stem cells reverse Parkinson’s disease progression?
Wu, Y., Meng, X., Cheng, W., Yan, Z., Li, K., Wang, J., Jiang, T., Zhou, F., Wong, K., Zhong, C., et al. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1210447 · Cited by 9 · see citing works
Hu, S., Yang, T., & Wang, Y. (2020) · Development · doi:10.1242/dev.195586 · Cited by 9 · see citing works
Vickers, A., Zandstra, P. W., Laddach, A., Poletti, M., Salameti, V., Fraternali, F., Danovi, D., & Watt, F. M. (2021) · Stem Cell Reports · doi:10.1016/j.stemcr.2021.09.017 · Cited by 9 · see citing works
Simultaneous Inference for Generalized Linear Models with Unmeasured Confounders
Du, J., Wasserman, L., & Roeder, K. (2025) · Journal of the American Statistical Association · doi:10.1080/01621459.2025.2485379 · Cited by 8 · see citing works
CRISPR screens in human neural organoids and assembloids
Meng, X., Reis, N., Bassik, M. C., & Pașca, S. P. (2025) · Nature Protocols · doi:10.1038/s41596-025-01299-6 · Cited by 8 · see citing works
Gong, L., Liu, X., Wu, J., & He, M. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01292-x · Cited by 8 · see citing works
Namipashaki, A., Pugsley, K., Liu, X., Abrehart, K., Lim, S. M., Sun, G., Herold, M. J., Polo, J. M., Bellgrove, M. A., & Hawi, Z. (2023) · Stem Cell Reports · doi:10.1016/j.stemcr.2023.10.013 · Cited by 7 · see citing works
Multi-omics technologies: Novel tools and methods for assessing nerve injury and regeneration
Zhou, Q., Zhao, Z., Tan, D., Fang, C., Shen, Z., Li, S., & Chen, X. (2025) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-25-00610 · Cited by 7 · see citing works
Duckert, B., Lambrechts, D., Braeken, D., Lagae, L., & Fauvart, M. (2023) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115634 · Cited by 7 · see citing works
Towards elucidating disease-relevant states of neurons and glia by CRISPR-based functional genomics
Leng, K., & Kampmann, M. (2022) · Genome Medicine · doi:10.1186/s13073-022-01134-7 · Cited by 7 · see citing works
Self-citationModel systems for emulating human tissue and physiology in psychiatric research
Cheng, K., Kathuria, A., Kshirsagar, A., Nixon, J., Lau, J., Yang, K., & Sawa, A. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1527826 · Cited by 6 · see citing works
Mei, H., Gu, Q., Wang, W., Meng, Y., Jiang, L., & Liu, J. (2022) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.07.026 · Cited by 6 · see citing works
Neurological Disorders and Challenges in Their Theranostics
Kumar, P., Zelena, D., & Gautam, A. (2023) · Springer eBooks · doi:10.1007/978-981-99-9510-3_1 · Cited by 6 · see citing works
Unlocking Disease‐Modifying Treatments for TDP‐43‐Mediated Neurodegeneration
Gil, R. S., & Walker, A. K. (2025) · BioEssays · doi:10.1002/bies.202400257 · Cited by 5 · see citing works
Barragán-Álvarez, C. P., Flores-Fernández, J. M., Hernández‐Pérez, O. R., Ávila‐González, D., Díaz, N. F., Padilla‐Camberos, E., Dublán‐García, O., Gómez‐Oliván, L. M., & Diaz-Martinez, N. E. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.947769 · Cited by 5 · see citing works
Application of novel CRISPR tools in brain therapy
Shang, J., Song, F., Zhang, Z., Chen, D., & Yang, S. (2024) · Life Sciences · doi:10.1016/j.lfs.2024.122855 · Cited by 5 · see citing works
Direct and indirect regulation of β-glucocerebrosidase by the transcription factors USF2 and ONECUT2
Ging, K., Frick, L. D., Schlachetzki, J. C. M., Armani, A., Zhu, Y., Gilormini, P., Dhingra, A., Böck, D., Marques, A., Deen, M. C., et al. (2024) · npj Parkinson s Disease · doi:10.1038/s41531-024-00819-7 · Cited by 5 · see citing works
CRISPR-Based Regulation for High-Throughput Screening
Jiao, L., Zhou, Q., & Sun, D. (2025) · ACS Synthetic Biology · doi:10.1021/acssynbio.5c00076 · Cited by 5 · see citing works
Uncovering causal relationships in single-cell omic studies with causarray
Du, J., Shen, M., Mathys, H., & Roeder, K. (2026) · Briefings in Bioinformatics · doi:10.1093/bib/bbag175 · Cited by 5 · see citing works
CRISPR/Cas-mediated genome editing in mice for the development of drug delivery mechanism
Ramachandregowda, S., Muktha, H., Ramakrishnaiah, T. N., Surendra, A. S., Tanvi, Y., Nivitha, K., & Rajashekara, S. (2023) · Molecular Biology Reports · doi:10.1007/s11033-023-08659-z · Cited by 5 · see citing works
An Evolutionary Perspective on Dog Behavioral Genetics
Lord, K. A., Chen, F. L., & Karlsson, E. K. (2024) · Annual Review of Animal Biosciences · doi:10.1146/annurev-animal-111523-101954 · Cited by 5 · see citing works
- Authors
- Kampmann, M.
- Affiliations
- University of California, San Francisco (US)
- Corresponding author
- Kampmann, Martin
- ORCID
- Kampmann, Martin
- Venue
- Nature Reviews Neurology
- Published
- 2020-07-08
- Volume
- 16
- Issue
- 9
- Pages
- 465-480
- ISSN
- 1759-4758 (ISSN-L)
- 1759-4766
- PMC
- PMC7484261
- OpenAlex
- W3042084835
- Cited by
- 163
- References
- 142
- Citations by year
- 2026: 24 · 2025: 32 · 2024: 29 · 2023: 21 · 2022: 28 · 2021: 26 · 2020: 3
- FWCI
- 1.87
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Reviews Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (1r56ag057528-01a1)
- National Institute on Aging (R56 AG057528, R01AG062359)
- National Institute of Mental Health (U01MH115747)
- National Institute of General Medical Sciences (DP2GM119139)
- National Institute of Neurological Disorders and Stroke (U54NS100717)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Virus-based gene therapy research
- Keywords
- neurological disorders, neurodegenerative diseases, neurodevelopmental disorders, neuropsychiatric disorders, CRISPR interference, CRISPR activation, genome-wide screen, induced pluripotent stem cells, brain organoids, disease-associated variants, genetic modifier screen, therapeutic target, disease mechanisms
- MeSH terms
- Gene Editing, Animals, Humans, Nervous System Diseases, Genomics, Genome-Wide Association Study, Induced Pluripotent Stem Cells, CRISPR-Cas Systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-05.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-05.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review