The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Comparison of Cas9 activators in multiple species
Open accessAbstract
Several programmable transcription factors exist based on the versatile Cas9 protein, yet their relative potency and effectiveness across various cell types and species remain unexplored. Here, we compare Cas9 activator systems and examine their ability to induce robust gene expression in several human, mouse, and fly cell lines. We also explore the potential for improved activation through the combination of the most potent activator systems, and we assess the role of cooperativity in maximizing gene expression.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
Li, B., & Dewey, C. N. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-323 · Cited by 22,179
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
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
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
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
Self-citationJaenisch, R., & Bird, A. (2003) · Nature Genetics · doi:10.1038/ng1089 · Cited by 6,325
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 · cited 1×
“These nuclease-null, or “dead,” Cas9 (dCas9) variants can then be fused to effector domains, allowing users to precisely direct a given functional activity to any arbitrary locus within the genome 7,9,10,11 .”
CRISPR-Cas systems for editing, regulating and targeting genomes
Sander, J. D., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2842 · Cited by 3,153
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
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
Cited by
The CRISPR tool kit for genome editing and beyond
Adli, M. (2018) · Nature Communications · doi:10.1038/s41467-018-04252-2 · Cited by 1,545
Genome-scale CRISPR-Cas9 Knockout and Transcriptional Activation Screening
Joung, J., Konermann, S., Gootenberg, J. S., Abudayyeh, O. O., Platt, R. J., Brigham, M. D., Sanjana, N. E., & Zhang, F. (2017) · Nature Protocols · doi:10.1038/nprot.2017.016 · Cited by 1,243
Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities
Sanson, K. R., Hanna, R. E., Hegde, M., Donovan, K. F., Strand, C., Sullender, M. E., Vaimberg, E. W., Goodale, A., Root, D. E., Piccioni, F., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07901-8 · Cited by 1,043
Diversity and evolution of class 2 CRISPR–Cas systems
Shmakov, S., Smargon, A., Scott, D., Cox, D., Pyzocha, N., Yan, W., Abudayyeh, O. O., Gootenberg, J. S., Makarova, K. S., Wolf, Y. I., et al. (2017) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.184 · Cited by 1,029
Horlbeck, M. A., Gilbert, L. A., Villalta, J. E., Adamson, B., Pak, R. A., Chen, Y., Fields, A. P., Park, C. Y., Corn, J. E., Kampmann, M., et al. (2016) · eLife · doi:10.7554/elife.19760 · Cited by 894
In vivo target gene activation via CRISPR/Cas9-mediated trans-epigenetic modulation
Liao, H.-K., Hatanaka, F., Araoka, T., Reddy, P., Wu, M.-Z., Sui, Y., Yamauchi, T., Sakurai, M., O’Keefe, D. D., Núñez-Delicado, E., et al. (2017) · Cell · doi:10.1016/j.cell.2017.10.025 · Cited by 451
Am I ready for CRISPR? A user's guide to genetic screens
Doench, J. G. (2018) · Nature Reviews Genetics · doi:10.1038/nrg.2017.97 · Cited by 452
Engineered miniature CRISPR-Cas system for mammalian genome regulation and editing
Xu, X., Chemparathy, A., Zeng, L., Kempton, H. R., Shang, S., Nakamura, M., & Qi, L. S. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.08.008 · Cited by 417
The CRISPR-Cas toolbox and gene editing technologies
Liu, G., Lin, Q., Jin, S., & Gao, C. (2022) · Molecular Cell · doi:10.1016/j.molcel.2021.12.002 · Cited by 404
CRISPRi and CRISPRa Screens in Mammalian Cells for Precision Biology and Medicine
Kampmann, M. (2018) · ACS Chemical Biology · doi:10.1021/acschembio.7b00657 · Cited by 373
CRISPR/Cas9 for cancer research and therapy
Zhan, T., Rindtorff, N., Betge, J., Ebert, M. P., & Boutros, M. (2019) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2018.04.001 · Cited by 328
CRISPR-mediated activation of a promoter or enhancer rescues obesity caused by haploinsufficiency
Matharu, N., Rattanasopha, S., Tamura, S., Maliskova, L., Wang, Y., Bernard, A., Hardin, A., Eckalbar, W. L., Vaisse, C., & Ahituv, N. (2019) · Science · doi:10.1126/science.aau0629 · Cited by 323
CRISPR/Cas9-based engineering of the epigenome
Pulecio, J., Verma, N., Mejía-Ramírez, E., Huangfu, D., & Raya, A. (2017) · Cell Stem Cell · doi:10.1016/j.stem.2017.09.006 · Cited by 300
Zhou, H., Liu, J., Zhou, C., Gao, N., Rao, Z., Li, H., Hu, X., Li, C., Yao, X., Shen, X., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-017-0060-6 · Cited by 276
Cas9 versus Cas12a/Cpf1: Structure–function comparisons and implications for genome editing
Swarts, D. C., & Jinek, M. (2018) · WIREs RNA · doi:10.1002/wrna.1481 · Cited by 267
Robust Transcriptional Activation in Plants Using Multiplexed CRISPR-Act2.0 and mTALE-Act Systems
Lowder, L. G., Zhou, J., Zhang, Y., Malzahn, A., Zhong, Z., Hsieh, T.-F., Voytas, D. F., Zhang, Y., & Qi, Y. (2018) · Molecular Plant · doi:10.1016/j.molp.2017.11.010 · Cited by 232
Neuron-specific signatures in the chromosomal connectome associated with schizophrenia risk
Rajarajan, P., Borrman, T., Liao, W., Schrode, N., Flaherty, E., Casiño, C., Powell, S., Yashaswini, C., LaMarca, E. A., Kassim, B., et al. (2018) · Science · doi:10.1126/science.aat4311 · Cited by 219
Human pluripotent reprogramming with CRISPR activators
Weltner, J., Balboa, D., Katayama, S., Bespalov, M., Krjutškov, K., Jouhilahti, E.-M., Trokovic, R., Kere, J., & Otonkoski, T. (2018) · Nature Communications · doi:10.1038/s41467-018-05067-x · Cited by 181
Identification and functional characterization of transcriptional activators in human cells
Alerasool, N., Leng, H., Lin, Z.-Y., Gingras, A.-C., & Taipale, M. (2022) · Molecular Cell · doi:10.1016/j.molcel.2021.12.008 · Cited by 120
Transcriptional regulation with CRISPR-Cas9: principles, advances, and applications
Didovyk, A., Borek, B., Tsimring, L., & Hasty, J. (2016) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2016.06.003 · Cited by 90
CRISPR Approaches to Small Molecule Target Identification
Jost, M., & Weissman, J. S. (2018) · ACS Chemical Biology · doi:10.1021/acschembio.7b00965 · Cited by 88
Genetic and epigenetic control of gene expression by CRISPR–Cas systems
Lo, A., & Qi, L. (2017) · F1000Research · doi:10.12688/f1000research.11113.1 · Cited by 72
Zhou, C., Hu, X., Tang, C., Liu, W., Wang, S., Zhou, Y., Zhao, Q., Bo, Q., Shi, L., Sun, X., et al. (2020) · National Science Review · doi:10.1093/nsr/nwaa033 · Cited by 69
Social state alters vision using three circuit mechanisms in Drosophila
Schretter, C. E., Hindmarsh Sten, T., Klapoetke, N., Shao, M., Nern, A., Dreher, M., Bushey, D., Robie, A. A., Taylor, A. L., Branson, K., et al. (2025) · Nature · doi:10.1038/s41586-024-08255-6 · Cited by 29
Metadata
- Authors
- Chavez, A., Tuttle, M., Pruitt, B. W., Ewen-Campen, B., Chari, R., Ter-Ovanesyan, D., Haque, S. J., Cecchi, R. J., Kowal, E. J. K., Buchthal, J., Housden, B. E., Perrimon, N., Collins, J. J., & Church, G.
- Venue
- Nature Methods
- Published
- 2016-05-23
- Volume
- 13
- Issue
- 7
- Pages
- 563-567
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2400411104
- Cited by
- 519
- References
- 17
- FWCI
- 27.09
- Type
- journal article
- Language
- en
- Open access
- green
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.
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
