Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program
Open accessAbstract
Microglia, the brain-resident immune cells, are critically involved in many physiological and pathological brain processes, including neurodegeneration. Here we characterize microglia morphology and transcriptional programs across ten species spanning more than 450 million years of evolution. We find that microglia express a conserved core gene program of orthologous genes from rodents to humans, including ligands and receptors associated with interactions between glia and neurons. In most species, microglia show a single dominant transcriptional state, whereas human microglia display significant heterogeneity. In addition, we observed notable differences in several gene modules of rodents compared with primate microglia, including complement, phagocytic, and susceptibility genes to neurodegeneration, such as Alzheimer's and Parkinson's disease. Our study provides an essential resource of conserved and divergent microglia pathways across evolution, with important implications for future development of microglia-based therapies in humans.
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Written from the paper’s full text.
TL;DR
Geirsdottir et al. profile microglia morphology and transcriptomes across evolutionarily distant species and find a conserved core microglial program alongside primate-specific divergence. Human microglia are notably heterogeneous and express more neurodegeneration susceptibility genes than rodent microglia.
Key findings
- A conserved microglia core program was identified across species: 8,890 genes were expressed in microglia of at least one species, clustering into 17 prominent gene clusters, with core signature clusters 1–10 expressed in all species but less in zebrafish and chicken; 163 genes were conserved and unique to microglia versus other tissue macrophages.
- Most species showed a single dominant microglial transcriptional state, whereas human microglia displayed significant heterogeneity; a putative senescent-like subset comprised roughly 20% of all human microglia, was consistent across all six sampled individuals, and co-expressed CDKN1, CCL3, CCL4, CCL3L3, and CCL4L2 with higher TNF and IL1B.
- Human PD and AD susceptibility gene expression correlated most with macaque (PD, r = 0.73; AD, r = 0.59), while mice, rats, and hamsters showed moderate to low correlation (r = 0.16–0.40); no significant enrichment or depletion was seen for schizophrenia or Huntington’s disease genes.
- Histological analysis across 18 species found the highest microglial density in leech ganglia (299.0 ± 41.4 Iba1+ microglia/mm²) and lowest in axolotls (11.1 ± 0.7/mm²); mouse frontal cortex had 65.8 ± 1.09 cells/mm² versus human frontal cortex 35.5 ± 2.48 cells/mm².
Methods
- Microglia morphology was assessed by immunohistochemistry and 3D Imaris reconstruction across 18 species, using Iba1, mPEG1-GFP for zebrafish, and CSF1R-mApple for chicken.
- For transcriptomics, brains from eight species with high-quality reference genomes (human, macaque, marmoset, sheep, mouse, hamster, chicken, zebrafish) were processed by FACS: CD45+ cells for MARS-seq2.0 scRNA-seq and CD11b+CD45lo microglia (or GFP+ zebrafish, CD45+CSF1RmApple+ chicken) for bulk RNA-seq; 4,458 QC-positive microglia cells and 3–6 bulk samples per species were collected, with rat and blind mole rat later added for single-cell comparisons.
- Analysis used an ortholog “metagene” strategy, metacell clustering, scRNA-seq-based deconvolution of bulk RNA-seq to remove contaminating cells, rank-based normalization, k-means clustering, and GWAS enrichment with NHGRI-EBI gene lists and hypergeometric tests (p < 0.01); human brain tissue came from healthy regions of individuals undergoing epilepsy surgery.
Limitations
- Stated: the authors caution that human CNS tissue studies cannot exclude that patients’ microglia do not accurately recapitulate the in situ states of healthy brains, despite careful sample acquisition and processing and similar results in comparable studies.
- Stated/evident: human samples were from epilepsy surgery (healthy regions with absence of pathology confirmed histologically), so they may not represent healthy brain microglia; sample sizes were small (3–6 individuals per species, human n = 6, with some species using pooled brains).
- Evident from text: cross-species bulk RNA-seq normalization is challenging, deconvolution depends on scRNA-defined contaminating clusters, chicken and zebrafish were removed from mammalian comparisons, and microglial heterogeneity may be influenced by tissue source or processing.
Model-written summary. Check it against the paper before relying on it.
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Cites
Statistics
Claims the paper makes
32 of 45 cited sources checked · 10 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Spi1 and Irf8 are core orchestrators for microglia development.
“The transcription factors Spi1 and Irf8 have been shown to be the core orchestrators for microglia development”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Hoeffel et al., 2015 source
The Introduction and Results describe the yolk-sac macrophage origin of microglia, but do not identify Spi1 or Irf8 as regulators of their development. Searches for Spi1, Irf8, PU.1, and IRF8 found no passage in our copy addressing that claim; page numbers were unavailable. (LLM, conf=0.75)
Experimental — accuracy not yet measured - cites Kierdorf et al., 2013 source
- Premisecitation
Tgfbr2 and Csf1r play an essential signaling role in microglia development, with absence or inhibition causing marked reduction or complete absence of microglia.
“Tgfbr2 and Csf1r have also been demonstrated to play an essential signaling role in microglia development, where the absence of these genes or inhibition of their signaling shows marked reduction or complete absence of microglia”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites Cohen et al., 2014 source
The Results section on long TGFβ1 exposure reports Tgfbr2 expression in adult microglia, but does not test its role in microglial development. The Discussion addresses inflammatory phenotype switching, not developmental loss of microglia. Searches for Csf1r, gene absence, inhibition, and microglial depletion found no passage supporting the claimed reduction or absence of microglia. (LLM, conf=0.75)
Experimental — accuracy not yet measured - cites Cronk et al., 2018 source
In Results (‘Partial microglia depletion leads to beMφ engraftment’; page unavailable), the paper calls Csf1r critical for microglia survival and reports that inducible Csf1r deletion caused an approximately 25% reduction in microglia. That supports a role for Csf1r and partial depletion, but the experiment does not establish a role in microglia development or complete absence of microglia. No passage found addresses Tgfbr2 (searched: Tgfbr2 and microglia development). (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Elmore et al., 2014 source
The Introduction (page not provided) says microglial development depends on CSF1R and that CSF1R-knockout mice are devoid of microglia. The Discussion reports that CSF1R inhibition eliminates virtually all microglia in the adult CNS. Our copy does not support the claim about Tgfbr2; searches for Tgfbr2 and transforming growth factor beta receptor 2 found no relevant passage. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Premisecitation
Standard antibody-based cell type purification across species remains challenging because epitope and antibody differences and impurities restrict accurate cross-species analysis.
“Standard antibody-based cell type purification across species remains challenging because epitope and antibody differences and impurities of the cell population captured with these antibodies across different species significantly restrict accurate cross-species analysis”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Giladi and Amit, 2018 source
The supplied passage and further searches for antibody-based purification, epitope differences, and cross-species analysis return only reference URLs, with no substantive text or section/page information. Our accessible copy therefore cannot establish whether the paper makes the claimed point. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Premisecitation
Microglia-specific pathways such as Trem2-Tyrobp and ApoE are critical determinants in Alzheimer's disease and other neurodegenerative diseases.
“microglia-specific pathways, such as Trem2-Tyrobp and ApoE, are critical determinants in AD and other neurodegenerative diseases”
Quote in the paperSubstantial claim3 of 3 sources checked- cites Jansen et al., 2019 source
The Results section (‘Gene-sets implicated in AD and AD-by-proxy’; page not supplied) reports suggestive microglial associations with AD risk, partly dependent on APOE, but says they did not survive the stringent Bonferroni correction. The paper identifies APOE as a strong AD risk locus, but the passages do not establish a TREM2–TYROBP pathway as a critical determinant or extend the finding to other neurodegenerative diseases. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Lambert et al., 2013 source
The Abstract (page not given) identifies APOE as a major genetic risk factor for Alzheimer’s disease and reports an AD-associated TREM2 variant. It does not establish a TREM2–TYROBP pathway, describe these pathways as microglia-specific, or show that they are critical determinants of other neurodegenerative diseases. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites Keren-Shaul et al., 2017 source
The Results and Discussion (pages unavailable) identify Trem2–Tyrobp signaling and Apoe expression in disease-associated microglia, and show that full activation of these cells in an Alzheimer’s mouse model depends on Trem2. The Discussion also reports a similar microglial population in an ALS mouse model, but does not establish Trem2–Tyrobp and Apoe as critical determinants across other neurodegenerative diseases. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
CSF1R mutations reduce microglia numbers in the human brain.
“CSF1R mutations also reduce microglia numbers in the human brain”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Colonna and Butovsky, 2017 source
The Development of CNS Mononuclear Phagocytes section (page not provided) says genetic defects in CSF1R drastically reduce microglia numbers. It does not establish that this reduction occurs in the human brain; the cited studies on CSF1R defects are in mice. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
Successful translation from neurodegenerative animal models to human clinical trials is far from adequate.
“successful translation from neurodegenerative animal models to human clinical trials is far from adequate”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Doody, 2017 source
- cites Sperling et al., 2014 source
The Introduction reports a failure to develop successful disease-modifying therapies for neurodegenerative disease and notes that most interventions were tested in people with clinically manifest illness. It does not attribute that failure to inadequate translation from animal models to human clinical trials; the animal-to-human comparison in the claim is unsupported. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites Vellas et al., 2014 source
- Findingown data
Rodent microglia differ from primate microglia in several gene modules, including complement, phagocytic, and neurodegeneration susceptibility genes such as Alzheimer's and Parkinson's disease.
“we observed notable differences in several gene modules of rodents compared with primate microglia, including complement, phagocytic, and susceptibility genes to neurodegeneration, such as Alzheimer's and Parkinson's disease.”
- Also stated in: § Inter-species Comparison Identifies Divergence in Metabolic and Immune Pathways · plain
“our analysis identifies marked evolution in the expression of multiple microglia pathways involved in metabolic, complement, and phagocytic pathways, with many of these pathways implicated in neurodegenerative diseases.”
Quote in the paperSubstantial claim - Also stated in: § Inter-species Comparison Identifies Divergence in Metabolic and Immune Pathways · plain
- Findingown data
Microglia express a conserved core gene program of orthologous genes from rodents to humans, including ligands and receptors associated with interactions between glia and neurons.
“We find that microglia express a conserved core gene program of orthologous genes from rodents to humans, including ligands and receptors associated with interactions between glia and neurons.”
- Also stated in: § (legend continued on next page) · hedged
“These results indicate that microglia express a large set of conserved core genes across all mammalian species, including genes relevant for general tissue macrophage functions as well as microglia-specific CNS adaptations.”
Quote in the paperSubstantial claim - Also stated in: § (legend continued on next page) · hedged
- Findingown data
In most species, microglia show a single dominant transcriptional state.
“In most species, microglia show a single dominant transcriptional state”
- Also stated in: § Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets · plain
“which show high intra-cluster correlation and predominantly one dominant microglia type”
Quote in the paperSubstantial claim - Also stated in: § Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets · plain
- Findingown data
No microglia heterogeneity was observed in wild mice.
“we did not observe microglia heterogeneity in wild mice”
Quote in the paperSubstantial claim - Findingown data
Many conserved microglia genes in clusters 1-3 are shared by other tissue macrophages.
“Many of the conserved microglia genes in clusters 1-3 are shared by other tissue macrophages”
Quote in the paperNot a substantial claim - Findingown data
Microglial density per mm2 positively correlates with microglia process length across species.
“we detected positive correlation of microglial density per mm 2 and microglia process length across species”
Quote in the paperNot a substantial claim - Findingown data
This inflammatory signature was not observed in young adult mouse microglia.
“This signature was not observed in young adult mouse microglia”
Quote in the paperSubstantial claim - Findingown data
Previously identified markers for yolk-sac-derived microglia (Daglb, Bin1, Cst3, Sall1, Prpsap2, Entpd1, Tmem119, P2ry12, CD81) are present in core microglia clusters 1-3.
“previously identified markers for yolk-sac-derived microglia (e.g., Daglb, Bin1, Cst3, Sall1, Prpsap2, Entpd1, Tmem119, P2ry12, and CD81; Figures 3B, 3C, and S3C) were present in core microglia clusters 1-3”
Quote in the paperSubstantial claim - Findingown data
Gene quantile normalization followed by clustering of deconvoluted bulk and scRNA-seq identified 17 prominent gene clusters.
“Gene quantile normalization, followed by clustering analysis of the deconvoluted bulk and scRNA-seq of microglia across evolution, identified 17 prominent gene clusters”
Quote in the paperSubstantial claim - Findingown data
Spi1, Irf8, Csf1r, and Tgfbr2 are strongly conserved and expressed across all species.
“we observed strong conservation and expression of Spi1, Irf8, Csf1r, and Tgfbr2 across all species”
Quote in the paperSubstantial claim - Findingown data
Pairwise comparison of human microglia scRNA-seq with rodents identified a large number of differentially expressed genes.
“Pairwise comparison of human microglia scRNA-seq transcriptomics data with those of rodents identified a large number of differentially expressed genes”
Quote in the paperSubstantial claim - Findingown data
Human cerebellum (molecular layer), hippocampus, and white matter have more microglia than the respective regions in mice.
“more microglia in the human cerebellum (molecular layer), hippocampus, and white matter compared with the respective regions in mice”
Quote in the paperNot a substantial claim - Findingown data
In chicken, CD45+ brain cells comprise two major immune populations: one expressing microglia signature markers (SALL1, P2RY12, C1QB) and one expressing T cell markers (CD3E, RORA, IL7R).
“The first group expressed the microglia gene signature, including multiple typical microglia markers that have already been identified in human and mouse microglia (e.g., SALL1, P2RY12, C1QB; Figure 2B), whereas the second group expressed marker genes associated with T cells (e.g., CD3E, RORA, and IL7R)”
Quote in the paperNot a substantial claim - Findingown data
After filtering lowly expressed genes, 8,890 genes were expressed in microglia of at least one species.
“After filtering for lowly expressed genes, we identified 8,890 genes that were expressed in microglia of at least one of the species”
Quote in the paperNot a substantial claim - Findingown data
Regulation of neuron projection development and cerebellum development are the most enriched gene ontology pathways associated with microglia-specific genes.
“We further identified brain-specific functions; for example, regulation of neuron projection development and cerebellum development, as the most enriched gene ontology pathways associated with these microglia-specific genes”
Quote in the paperNot a substantial claim - Findingown data
Microglial density varies markedly across species, even among rodents and larger mammals.
“histological analysis shows that microglial density varies markedly across species, even among rodents and larger mammals”
Quote in the paperNot a substantial claim - Findingown data
Overall morphology of human microglia showed the highest similarity to macaque, mouse, rat, hamster, sheep, boar, bat, and chicken microglia in terms of dendrite length, branching segments, terminal points, and volume.
“the overall morphology of human microglia showed the highest similarity to macaque, mouse, rat, hamster, sheep, boar, bat, and chicken microglia in terms of dendrite length, number of branching segments, terminal points, and volume”
Quote in the paperSubstantial claim - Findingown data
Comparing non-challenged microglia from four laboratory mouse strains housed in SPF with wild mice housed in non-SPF revealed only few differences.
“comparing non-challenged microglia from four laboratory mouse strains housed in a specific pathogen-free (SPF) facility, with wild mice housed in a non-SPF facility (including pathogens that are present in a natural environment), revealed only few differences”
Quote in the paperSubstantial claim - Findingown data
Vsir is highly conserved in all microglia.
“is highly conserved in all microglia”
Quote in the paperNot a substantial claim - Findingown data
The majority of immune cells in the examined species were identified as microglia based on their gene signature.
“The majority of immune cells in the examined species were identified as microglia based on their gene signature.”
Quote in the paperNot a substantial claim - Findingown data
Iba1 immunohistochemistry-based 3D-Imaris analysis revealed that 16 of 18 animals were positive for parenchymal Iba+ cells, whereas chicken and zebrafish were not.
“Iba1 immunohistochemistry-based 3D-Imaris analysis revealed that 16 of the 18 animals were positive for parenchymal Iba + cells whereas chicken and zebrafish were not”
Quote in the paperSubstantial claim - Findingown data
Mouse frontal cortex has higher microglial density (65.8 ± 1.09 cells/mm2) than human frontal cortex (35.5 ± 2.48 cells/mm2).
“we detected a higher microglial density in the frontal cortex of mice (65.8 ± 1.09 cells/mm 2 ) compared with the human frontal cortex (35.5 ± 2.48 cells/mm 2 )”
Quote in the paperSubstantial claim - Findingown data
Microglia genes previously linked to the homeostatic gene signature, including C1qc, P2ry12, and Tardbp, are highly expressed and conserved in all species.
“Microglia genes that have been linked previously to the homeostatic gene signature of microglia are both highly expressed and conserved in all species, including C1qc, P2ry12, and Tardbp”
Quote in the paperSubstantial claim - Findingown data
Cross-species analysis identified 163 genes that are both conserved and unique to microglia.
“Our cross-species analysis identified 163 genes that are both conserved and unique to microglia”
Quote in the paperSubstantial claim - Findingown data
Analysis of mouse and human microglial morphology revealed partial region-specific heterogeneity in both species, including smaller dendrite length, fewer segments, branchpoints, and terminal points in the molecular layer of the cerebellum.
“Analysis of mouse and human microglial morphology revealed a partial region-specific heterogeneity in both species, including smaller dendrite length, a smaller number of segments, and fewer branchpoints and terminal points in the molecular layer of the cerebellum”
Quote in the paperNot a substantial claim - Findingown data
Lysosomal hydrolases (e.g., Cst3, Ctsa, Ctss, Ctsb, Ctsh, Ctsc, Ctsz, Hexa) are highly expressed and conserved across mammalian species.
“Lysosomal hydrolases (e.g., Cst3, Ctsa, Ctss, Ctsb, Ctsh, Ctsc, Ctsz, and Hexa) were observed to be both highly expressed and conserved across mammalian species.”
Quote in the paperSubstantial claim - Findingown data
Pathway analysis of clusters specific to humans, macaque, marmoset, and sheep compared with rodents revealed enrichment of DNA repair pathways.
“Pathway analysis of clusters specific to humans, macaque, marmoset, and sheep compared with rodents revealed enrichment of DNA repair pathways”
Quote in the paperSubstantial claim - Findingown data
P2RY12 and PU.1 were confirmed by histology in several animals.
“we could confirm two of those markers, P2RY12 and PU.1, by histology in several animals”
Quote in the paperNot a substantial claim - Findingown data
Conservation of mammalian microglia gene expression programs was observed.
“We observed conservation of mammalian microglia gene expression programs”
Quote in the paperSubstantial claim - Findingown data
Microglia transcriptional heterogeneity exists within species.
“Microglia Transcriptional Heterogeneity within Species”
Quote in the paperNot a substantial claim - Findingown data
A substantial number of species-specific gene expression was observed that exhibited enrichment of several pathways not previously related to microglia or human microglia.
“a substantial number of species-specific gene expression was observed that exhibited enrichment of several pathways that have not been related previously to microglia or human microglia”
Quote in the paperSubstantial claim - Findingown data
Human microglia exhibit substantial heterogeneity.
“We identify substantial heterogeneity in human microglia”
- Also stated in: § Bulk RNA-seq normalization · plain
“Identification of Microglia Heterogeneity Using Single-Cell RNA-Seq Analysis”
Quote in the paperSubstantial claim - Also stated in: § Bulk RNA-seq normalization · plain
- Findingown data
Inter-species comparison of homeostatic microglia uncovers species differences.
“Inter-species Comparison of Homeostatic Microglia Uncovers Species Differences”
Quote in the paperSubstantial claim - Findingown data
Gene ontology terms are enriched in human, macaque, marmoset and sheep microglia (cluster 11).
“(D) Gene ontology (GO) terms enriched in human, macaque, marmoset and sheep microglia (cluster 11; Figure 3A).”
Quote in the paperNot a substantial claim - Findingown data
Analysis of human, macaque, and marmoset revealed higher expression of pathways implicated in longevity and anti-inflammatory responses, specifically DNA repair pathways, negative regulation of ferroptosis, and apoptotic cell clearance.
“Our analysis of human, macaque, and marmoset revealed higher expression of pathways that have been implicated in longevity and anti-inflammatory responses; more specifically, DNA repair pathways, negative regulation of ferroptosis, and apoptotic cell clearance.”
Quote in the paperSubstantial claim - Findingnone given
Genes that are specifically absent or lowly expressed in mouse but not in humans are demonstrated.
“Genes that are specifically absent or lowly expressed in mouse but not in humans are demonstrated.”
Quote in the paperNot a substantial claim- Rests on an assumption: Human brain tissue from epilepsy surgery patients' healthy regions is representative of normal human microglia.
- Rests on an assumption: Orthologous genes across the compared species are functionally comparable for cross-species microglia transcriptome comparison.
- Findingown data
The analysis identifies the microglia gene program across evolution.
“In summary, our analysis identifies the microglia gene program across evolution.”
- Also stated in: § Bulk RNA-seq normalization · plain
“Conserved Microglia Core Gene Expression Program across Evolution”
Quote in the paperSubstantial claim - Also stated in: § Bulk RNA-seq normalization · plain
- Findingown data
Human- and macaque-specific susceptibility genes included Msr1.
“Human-and macaque-specific susceptibility genes included Msr1”
Quote in the paperNot a substantial claim - Findingown data
Expression of Parkinson's disease and Alzheimer's disease-associated genes in human microglia showed the highest correlation with macaque (PD, r = 0.73; AD, r = 0.59).
“Expression of PD and AD-associated genes in human microglia showed the highest correlation with macaque (PD, r = 0.73; AD, r = 0.59)”
Quote in the paperSubstantial claim - Findingown data
The most differential genes between homeostatic microglia and microglia subtypes (metacells 3-6) are identified (p < 10^-7).
“(D) Top panel: volcano plot showing the most differential genes between homeostatic microglia and microglia subtypes (metacells 3-6, p < 10 À7 ).”
Quote in the paperNot a substantial claim - Findingown data
There is no significant enrichment or depletion of genes from GWASs of schizophrenia or Huntington's disease in any animal.
“we did not see any significant enrichment or depletion of genes from GWASs of schizophrenia or Huntington's disease in any animal”
Quote in the paperNot a substantial claim - Findingown data
Mice, rats, and hamsters showed moderate to low correlation with human Alzheimer's disease and Parkinson's disease susceptibility genes (r = 0.16-0.40).
“mice, rats, and hamsters showed moderate to low correlation with human AD and PD susceptibility genes (r = 0.16-0.40)”
Quote in the paperSubstantial claim - Findingown data
Gene ontology terms are enriched in homeostatic human microglia (cluster 8).
“(E) Gene ontology (GO) terms enriched in homeostatic human microglia (cluster 8; A).”
Quote in the paperNot a substantial claim - Findingown data
There is a sub-cluster of human microglia that expresses a complex SASP.
“as well as a sub-cluster of human microglia that expressed a complex SASP”
Quote in the paperNot a substantial claim - Interpretationown data
The strong conservation and expression of Spi1, Irf8, Csf1r, and Tgfbr2 supports a central role of these factors in microglia biology.
“supporting the idea of a central role of these factors in microglia biology”
Quote in the paperSubstantial claim - Interpretationown data
Microglia express a large set of conserved core genes across all mammalian species, including genes relevant for general tissue macrophage functions as well as microglia-specific CNS adaptations.
“These results indicate that microglia express a large set of conserved core genes across all mammalian species, including genes relevant for general tissue macrophage functions as well as microglia-specific CNS adaptations.”
Quote in the paperSubstantial claim - Interpretationcitation
Human microglia heterogeneity is not observed to this extent in other species.
“This supports our argument for human microglia heterogeneity that is not observed to this extent in other species.”
Quote in the paperSubstantial claim - Interpretationown data
Cross-evolutionary comparison is important to better characterize human-specific microglia pathways and their relevance to human disease.
“we show the importance of cross-evolutionary comparison to better characterize human-specific microglia pathways and the relevance of these to human disease”
Quote in the paperNot a substantial claim- Rests on an assumption: Large differences exist in multiple characteristics of disease manifestation between human and animal models.
- Rests on an assumption: Effective development of therapies for neurodegenerative diseases is limited.
- Interpretationown data
This is the first study identifying specific enrichment of Alzheimer's disease and Parkinson's disease susceptibility genes in microglia and their expression across evolution.
“this is the first study identifying specific enrichment of AD and PD susceptibility genes in microglia and their expression across evolution”
Quote in the paperSubstantial claim - Interpretationown data
The analysis identifies marked evolution in the expression of multiple microglia pathways involved in metabolic, complement, and phagocytic pathways, with many implicated in neurodegenerative diseases.
“our analysis identifies marked evolution in the expression of multiple microglia pathways involved in metabolic, complement, and phagocytic pathways, with many of these pathways implicated in neurodegenerative diseases”
Quote in the paperSubstantial claim - Interpretationown data
Conservation of mammalian microglia gene expression programs suggests that microglia perform overall similar functions throughout mammalian evolution.
“suggesting that microglia perform overall similar functions throughout mammalian evolution”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 36
- May combine two claims. 36
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMicroglia are the primary resident immune cells of the CNS parenchyma and are seeded during development from mesodermal progenitors.
“Microglia are the primary resident immune cells of the CNS parenchyma and are seeded during development from mesodermal progenitors”
Quote in the paperNot a substantial claim1 of 3 sources checkedMay combine two claims.
PremisecitationYolk-sac-derived microglia marker genes are highly enriched in microglia and are not upregulated in monocytes that engraft the brain in microglia-depleted mouse models.
“These genes are highly enriched in microglia and are not upregulated in monocytes that engraft the brain in microglia-depleted mouse models”
Quote in the paperSubstantial claim3 of 3 sources checked- cites Bennett et al., 2018 source
The Results section on ontogeny markers reports that Gpr56 is expressed by yolk-sac-derived cells and microglia but not by engrafted HSC-lineage cells. However, the Results section on CNS-induced gene expression says engrafted cells of diverse origins express many other microglial signature genes at near-microglial levels. The claim is therefore supported for a specific ontogeny marker, not for microglial marker genes generally; page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Cronk et al., 2018 source
- cites Shemer et al., 2018 source
The Results section (‘Engrafted cells have transcriptomes distinct from microglia’; page not provided) reports that several microglia signature genes are reduced or absent in engrafted cells. But it also reports expression of other signature genes, including Fcrls and Tgfbr, in those cells. The claim therefore overgeneralizes when it says the marker genes are not upregulated in engrafted monocytes. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThese cells are implicated in sterile inflammation, wound healing, and age-related processes, including neurodegeneration.
“These cells are implicated in sterile inflammation, wound healing, and age-related processes, including neurodegeneration”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Bussian et al., 2018 source
The paper’s opening section (page not provided) links senescent cells to age-related tissue deterioration and reports a role for senescent glial cells in a mouse model of tau-dependent neurodegeneration. It does not address wound healing or implicate these cells in sterile inflammation; the Methods describe experimentally induced inflammatory responses, which do not establish that part of the claim. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationscRNA-seq has been used to deconvolve immune cell type heterogeneity by identifying novel distinct immune cell subsets in health and disease.
“scRNA-seq has been used to deconvolve immune cell type heterogeneity by identifying novel distinct immune cell subsets in health and disease”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Jaitin et al., 2014 source
The indexed text (section labeled Abstract; page unavailable) reports that single-cell RNA-seq distinguished immune-cell populations in mouse spleen and revealed new transcriptional subpopulations after LPS exposure. But LPS was used to mimic infection; the paper does not report studying disease, and it cautions that transcriptional subpopulations need not be distinct, committed cell subtypes. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Keren-Shaul et al., 2017 source
- cites Papalexi and Satija, 2018 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAdgrg1 (Gpr56) is conserved in human, mouse, and zebrafish and is associated with development of oligodendrocytes.
“Among them is Adgrg1 (Gpr56), demonstrated previously to be conserved in human, mouse, and zebrafish, which is associated with development of oligodendrocytes”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Giera et al., 2018 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSeveral lysosomal hydrolases are ubiquitously expressed in macrophages, but others have more restricted tissue expression, and absence of some (e.g., Ctsa and Hexa) can cause severe neurological phenotypes.
“Several of them are ubiquitously expressed in macrophages (e.g., Ctsb, Ctsh, and Ctsc), but others have more restricted tissue expression, and their absence (e.g., Ctsa and Hexa) can cause severe neurological phenotypes”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Caciotti et al., 2013 source
The Background (page unavailable) says CTSA mutations cause galactosialidosis and describes psychomotor delay and neurological deterioration among its manifestations, supporting the CTSA example. The cited paper does not establish the claimed macrophage expression patterns or tissue restrictions, and the passages retrieved do not address Hexa. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe inflammatory signature of potentially senescent-like microglia has been identified in most tissues of all ages in human and mice, but their number increases with age.
“This inflammatory signature of potentially senescent-like microglia has been identified in most tissues of all ages in human and mice, but their number increases with age”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites He and Sharpless, 2017 source
The Introduction describes pro-inflammatory cytokine secretion by senescent cells, and the Abstract says senescent cells occur throughout life and accumulate with age. The Wound Healing section discusses macrophages with some senescence features, but our copy does not identify an inflammatory signature in microglia across most tissues, ages, and humans and mice, or show that the number of those microglia increases with age. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationTardbp is protective against synapse loss in an Alzheimer's disease mouse model, whereas its absence promotes higher amyloid clearance by enhancing phagocytosis.
“Tardbp has been shown recently to be protective against synapse loss in an AD mouse model, whereas its absence promotes higher amyloid clearance by enhancing phagocytosis”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Paolicelli et al., 2017 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationInflammatory cytokines have been seen previously in a sub-set of microglia in aged C57BL/6 mice.
“inflammatory cytokines have been seen previously in a sub-set of microglia in aged C57BL/6 mice”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites Hammond et al., 2019 source
- cites Sierra et al., 2007 source
- cites Mrdjen et al., 2018 source
The Aging and Neurodegenerative Disease section describes a reactive subset of microglia in geriatric mice, and Figure 5 (p. 389) identifies the mice as C57BL/6. The reported features are surface and activation markers, not inflammatory cytokines detected in those microglia. The Discussion mentions cytokines as possible environmental cues, which does not establish the claimed observation. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationVsir expression has been shown to be increased in several neurological diseases, such as Alzheimer's disease.
“Its expression has been shown to be increased in several neurological diseases, such as AD”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Borggrewe et al., 2018 source
The Results and Discussion report elevated VISTA protein expression in microglia near plaques in one Alzheimer’s disease patient. They also report elevated expression in normal-appearing white matter from an MS patient, but reduced expression in chronic MS lesions. The evidence therefore supports the AD example, not a general increase across several neurological diseases; it measures VISTA protein rather than directly establishing increased Vsir gene expression. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe level of spurious UMIs in the data was estimated using statistics on empty MARS-seq wells as previously described.
“We estimated the level of spurious UMIs in the data using statistics on empty MARS-seq wells as previously described (Jaitin et al., 2014).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Jaitin et al., 2014 source
The indexed text describes MARS-Seq’s molecular barcoding, molecule counting, and filtering in the section labeled Abstract, but does not describe estimating spurious UMIs from empty wells. Searches for “empty MARS-seq wells spurious UMIs” and “empty wells background noise molecular barcodes false molecules” found no passage addressing that procedure. (LLM, conf=0.72)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDNA repair pathways have been implicated previously in longevity.
“which have been implicated previously in longevity”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Ungvari et al., 2008 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrevious reports show high constraints of brain gene expression variance across evolution.
“This is in accordance with previous reports showing high constraints of brain gene expression variance across evolution”
Quote in the paperNot a substantial claim2 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGenes expressed by microglia have been implicated in Alzheimer's disease in human GWASs.
“Previously, genes expressed by microglia have been implicated in AD in human GWASs”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites Gandal et al., 2018 source
The indexed text describes a microglial gene module associated with autism and reports GWAS enrichment for other psychiatric disorders, but it does not link microglia-expressed genes to Alzheimer’s disease in human GWASs. Searches for “Alzheimer,” “AD GWAS,” and microglial Alzheimer’s risk variants found only an Alzheimer’s-related reference, not a passage making the claimed point; page numbers were unavailable. (LLM, conf=0.76)
Experimental — accuracy not yet measured - cites Jansen et al., 2019 source
- cites Keren-Shaul et al., 2017 source
The Discussion says that genes expressed by disease-associated microglia include known AD risk-factor genes, and it describes human genetic variants associated with disease risk. It does not say that those genes were implicated by human GWASs, so the specific study type in the claim is unsupported. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMsr1 mediates endocytosis of low-density lipoproteins and is involved in uptake and degradation of amyloid beta.
“Msr1 mediates endocytosis of low-density lipoproteins (LDLs) and is involved in uptake and degradation of amyloid b (Ab)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Frenkel et al., 2013 source
The Results section ('Scara1 deficiency is associated with reduced sAβ uptake'; page unavailable) identifies Scara1 as a major receptor for soluble amyloid-β uptake, and another Results section links reduced uptake to reduced amyloid-β degradation. The Discussion says Scara1 mediates adhesion to oxidized-LDL-coated surfaces, but does not establish that it mediates LDL endocytosis. (LLM, conf=0.87)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataHuman microglia display significant heterogeneity and are organized into several microglia types.
“whereas human microglia display significant heterogeneity”
- Also stated in: § Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets · plain
“Cell-to-cell correlation analysis revealed that microglia from all human individuals are organized into several microglia types”
Quote in the paperSubstantial claim- Also stated in: § Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets · plain
May combine two claims.
Findingown dataThere is a considerably smaller number of differentially expressed genes between human and macaque microglia, with most related to metabolic pathways such as NADK and BCO2.
“we observed a considerably smaller number of differentially expressed genes between human and macaque microglia, with most of the differentially expressed genes related to metabolic pathways such as NAD kinase (NADK; soluble vitamin metabolism) and beta-carotene oxygenase 2 (BCO2; carotenoid oxidization)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe highest microglial density was detected in leech ganglia (299.0 ± 41.4 Iba1+ microglia/mm2) and the lowest in axolotls (11.1 ± 0.7/mm2).
“The highest microglial density was detected in leech ganglia with 299.0 ± 41.4 Iba1 + microglia/mm 2 and lowest microglial numbers in axolotls (11.1 ± 0.7/mm 2 )”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenAlthough microglia display similar dendritic morphology, the degree of ramification and cell size differs considerably in many species examined.
“although microglia display similar dendritic morphology, the degree of ramification and cell size differs considerably in many of the species examined”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe 17 clusters include a microglia core signature expressed in all species (clusters 1-10), but to a lesser extent in zebrafish and chicken, as well as clade- and species-specific programs (clusters 11-17).
“These clusters include a microglia core signature expressed in all species (clusters 1-10), but to a lesser extent in the zebrafish and chicken, as well as clade and species-specific programs (clusters 11-17”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPutative senescent-like microglia are not specific to a single individual but are consistent across all six sampled individuals, comprising roughly 20% of all microglia.
“Further investigation of these putative senescent-like microglia revealed that they were not specific to a single individual but consistent across all six sampled individuals, comprising roughly 20% of all microglia”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThere is no detectable correlation between microglial and neuronal density or between microglia/neuron ratio and microglia process length.
“we did not observe any detectable correlation between microglial and neuronal density (Figure S1E) or microglia/neuron ratio and microglia process length”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataHuman microglia heterogeneity is in sharp contrast to mouse, macaque, marmoset, hamster, and sheep, which show high intra-cluster correlation and predominantly one dominant microglia type.
“The human microglia heterogeneity identified was in sharp contrast to mouse (Figure 4C), macaque (Figure S5A), marmoset (Figure S5B), hamster (Figure S5C), and sheep (Figure S5D), which show high intra-cluster correlation and predominantly one dominant microglia type.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataMost species contained some metacells that were identified as contaminating cells.
“most species contained some metacells that were identified as contaminating cells”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataHierarchical clustering grouped species based on evolutionary distance and displayed two major groups, with zebrafish and chicken microglia forming an outgroup from mammals.
“Hierarchical clustering across samples grouped the species based on their evolutionary distance and displayed two major groups, with the zebrafish and chicken microglia forming an outgroup from the mammals”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThis microglia subset consistently co-expressed CDKN1, CCL3, CCL4, CCL3L3, and CCL4L2, along with higher expression of inflammatory cytokines TNF and IL1B.
“This microglia subset consistently co-expressed CDKN1, CCL3, CCL4, CCL3L3, and CCL4L2 (Figure 4F), along with higher expression of inflammatory cytokines such as TNF and IL1B”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataA sub-population of human microglia has increased expression of several inflammatory genes linked with a senescence-associated secretory phenotype, without any change of homeostatic gene expression.
“we observed a sub-population with increased expression of several inflammatory genes that have been linked with a senescence-associated secretory phenotype (SASP) (von Kobbe, 2018; Figure 4D), without any change of homeostatic gene expression”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMacaque showed the highest similarity in expression patterns to human microglia, whereas laboratory mouse strains clustered together with wild mice and hamster.
“Macaque showed the highest similarity in expression patterns to human microglia, whereas laboratory mouse strains clustered together with wild mice and hamster”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGrn (progranulin) is highly expressed and conserved in microglia.
“Another highly expressed and conserved lysosomal gene, Grn (or progranulin)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe microglia expression program of all mouse strains showed high similarity to each other, and only a few genes were differential between mouse strains.
“the microglia expression program of all mouse strains showed high similarity to each other (Figure S5F), and only a few genes were identified as differential between the mouse strains”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHuman microglia subtypes are unrelated to sex differences and are observed in both male and female microglia.
“These subtypes are unrelated to sex differences and observed in both male and female microglia”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataP2Y12 and PU.1 are conserved across microglia evolution.
“Conservation of P2Y12 and PU.1 across Microglia Evolution”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataEnriched pathways included phagocytosis, more specifically apoptotic cell clearance, and the complement pathway.
“Additionally, enriched pathways included phagocytosis (Figure S6E)-more specifically, apoptotic cell clearance (Figure S6F; Table S6)-and the complement pathway”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataA group of 26 genes (e.g., Cdkn1, Ccl2, Tnf) exhibited a strong Pearson correlation across the Metacells' log2 footprint expression of the 200 most variable genes excluding genes associated with mitochondria and stress.
“identified a group of 26 genes (e.g., Cdkn1, Ccl2, Tnf) that exhibited a strong Pearson correlation across the Metacells' log2 footprint expression of the 200 most variable genes excluding genes associated with mitochondria and stress that were filtered from these lists in advance.”
Quote in the paperNot a substantial claim- Rests on an assumption: Human brain tissue from epilepsy surgery patients' healthy regions is representative of normal human microglia.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataSignificant biological processes or pathways were identified using Metascape software analysis of all genes from clusters 1-3 using all genes as a background or microglia specific genes identified in a comparative analysis of tissue macrophages and microglia in Figure 3D, using all genes as a background.
“Significant biological processes or pathways identified using Metascape software analysis of all genes from clusters 1-3 using all genes as a background (F) or microglia specific genes identified in a comparative analysis of tissue macrophages and microglia in Figure 3D, using all genes as a background (G).”
Quote in the paperNot a substantial claim- Rests on an assumption: Human brain tissue from epilepsy surgery patients' healthy regions is representative of normal human microglia.
May combine two claims.
Findingown dataSeveral pathways were enriched in all tested mammals except mice; in particular, negative regulation of the ferroptosis pathway.
“Several other pathways were enriched in all tested mammals except mice; in particular, negative regulation of the ferroptosis pathway”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHuman microglia express the great majority of genes related to susceptibility to Alzheimer's disease and Parkinson's disease, but not Huntington's disease or schizophrenia, whereas rodent microglia only express a fraction of these genes.
“Our analysis additionally revealed that human microglia express the great majority of genes related to susceptibility to AD and PD (but not to Huntington's disease or schizophrenia), whereas rodent microglia only express a fraction of these genes.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataRNA-seq expression of representative highly conserved and highly expressed genes was identified from clusters 1-3.
“RNA-seq expression of representative highly conserved and highly expressed genes identified from clusters 1-3 (as shown in Figure 3A).”
Quote in the paperNot a substantial claim- Rests on an assumption: Human brain tissue from epilepsy surgery patients' healthy regions is representative of normal human microglia.
- Rests on an assumption: Orthologous genes across the compared species are functionally comparable for cross-species microglia transcriptome comparison.
May combine two claims.
Findingown dataThere are species-specific and disease-associated pathways in microglia.
“Characterization of Microglia Species-Specific and Disease-Associated Pathways”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThere is significant over-representation of Parkinson's disease genes and, to a lesser extent, Alzheimer's disease genes in the human-specific cluster and clusters shared by human and macaques.
“We observed significant over-representation of PD genes and, to a lesser extent, AD genes in the human-specific cluster and clusters shared by human and macaques”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataThe clustering result was not affected by the number of clusters or analysis method, and similar results were observed with PCA.
“This was not affected by the number of clusters or analysis method, and similar results were observed when applying principal-component analysis (PCA”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLaboratory mouse models have been described to show considerable differences regarding immune system regulation.
“Laboratory mouse models have been described to show considerable differences regarding the immune system regulation”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sellers et al., 2012 source
May combine two claims.
Interpretationown dataSingle-cell transcriptomic analysis identifies major microglia heterogeneity in humans, in contrast to other mammals, which mostly display a single microglia type in the steady state under non-pathological conditions.
“single-cell transcriptomic analysis identifies major microglia heterogeneity in humans, in contrast to other mammals, which mostly display a single microglia type in the steady state under non-pathological conditions”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationVsir (VISTA) is an immune checkpoint gene that inhibits T cell response.
“Vsir (or VISTA) is an immune checkpoint gene that inhibits T cell response”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Xu et al., 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGrn has been implicated in frontotemporal dementia in humans and mice.
“has been implicated in frontotemporal dementia in humans and mice”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Baker et al., 2006 source
May combine two claims.
Interpretationown datascRNA-seq can define, with minimal biases, conserved cell type transcriptional signatures across species, enabling marker-free molecular comparison of the microglia program across evolution.
“Together, these findings highlight the potential of scRNA-seq to define, with minimal biases, conserved cell type transcriptional signatures across species, enabling marker-free molecular comparison of the microglia program across evolution.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenCells with high (> 32 UMI) expression of hemoglobin genes were discarded.
“Cells with high (> 32 UMI) expression of hemoglobin genes were discarded (e.g., Hbb, Hba1, Hba2).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll experiments were conducted in accordance with the institutional review board of the University of Freiburg Medical Center.
“All experiments were conducted in accordance with the institutional review board of the University of Freiburg Medical Center.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenIn post mortem sample collection, samples were included in the study only if no indication of a tumor or inflammatory disease was examined by histological analysis.
“In post mortem sample collection, samples were included in the study only if no indication of a tumor or inflammatory disease was examined by histological analysis.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenReads with multiple mapping positions were excluded.
“reads with multiple mapping positions were excluded.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationExpression libraries were produced with a minimum of three replicates per population.
“developed for scRNA-seq to produce expression libraries with a minimum of three replicates per population.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Keren-Shaul et al., 2019 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenERCC genes were discarded.
“ERCC genes were discarded.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenIt cannot be excluded that patients' microglia are not accurately recapitulating the in situ states of healthy brains.
“it cannot be excluded that patients' microglia are not accurately recapitulating the in situ states of healthy brains.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenAll experimental procedures were either approved by a local ethical review committee and conducted in accordance with personal and project licenses under the UK Animals (Scientific Procedures) Act (1986) or performed in accordance with institutional animal welfare guidelines and were approved by the government of Baden-Wurttemberg, Germany.
“All experimental procedures were either approved by a local ethical review committee and conducted in accordance with personal and project licenses under the UK Animals (Scientific Procedures) Act (1986) or performed in accordance with institutional animal welfare guidelines and were approved by the government of Baden-Wurttemberg, Germany.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenCells with less than 500 total UMI were discarded as low-quality cells.
“Cells with less than 500 total UMI were discarded as low-quality cells.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenSample acquisition and processing time were carefully calibrated.
“we took great care and carefully calibrated sample acquisition and processing time (STAR Methods)”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenBootstrapping was used to derive robust clustering (500 iterations; resampling 70% of the cells in each iteration, and clustering of the co-cluster matrix with minimal cluster size set to 20).
“We used bootstrapping to derive robust clustering (500 iterations; resampling 70% of the cells in each iteration, and clustering of the co-cluster matrix with minimal cluster size set to 20).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Study design and conductown dataAbsence of pathology in the human epilepsy surgery samples was confirmed by histological analysis in the respective area by a neuropathologist.
“Absence of pathology in the sample was confirmed by histological analysis in the respective area by a neuropathologist.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMany hallmarks of human neurodegeneration specifically involve increased presence of double-strand DNA damage and senescent cells as well as accumulation of iron and peroxidation of polyunsaturated fatty acids in CNS cells.
“Many hallmarks of human neurodegeneration specifically involve an increased presence of double-strand DNA damage and senescent cells as well as accumulation of iron and peroxidation of polyunsaturated fatty acids in CNS cells”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fielder et al., 2017 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenMitochondrial genes and ribosomal genes were removed from the list of features used for the Metacell analysis.
“Mitochondrial genes and ribosomal genes were removed from the list of features used for the Metacell analysis.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenHuman brain tissue was collected from healthy brain regions of individuals that underwent epilepsy surgery.
“Human brain tissue was collected from healthy brain regions of individuals that underwent epilepsy surgery.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenFor each organism, Metacell analysis was used to discard outlier cells.
“For each organism, we used Metacell analysis to discard outlier cells.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Large differences exist in multiple characteristics of disease manifestation between human and animal models.
“Despite immense efforts over the past decades to find a cure for neurodegenerative disorders using transgenic animal models, large differences are observed in multiple characteristics of disease manifestation in human versus animal models.”
The paper relies on this without support.
Effective development of therapies for neurodegenerative diseases is limited.
“Effective development of therapies for neurodegenerative diseases is limited.”
The paper relies on this without support.
Bulk RNA-seq data can contain a mixture of cell types due to sample acquisition impurity and existence of outlier and/or 'contaminating' cells.
“Bulk RNA-seq data can contain a mixture of cell types due to sample acquisition impurity and existence of outlier and/or ''contaminating'' cells.”
The paper relies on this without support.
Comparing bulk RNA-seq data between species is especially challenging due to differences in the total number of genes, total read number, housekeeping genes expression profiles, and possible other factors that affect conventional RNA-seq normalization methods.
“Comparing bulk RNA-seq data between species is especially challenging due to differences in the total number of genes, total read number, housekeeping genes expression profiles, and possible other factors that affect conventional RNA-seq normalization methods.”
The paper relies on this without support.
Human brain tissue from epilepsy surgery patients' healthy regions is representative of normal human microglia.
“Human brain tissue was collected from healthy brain regions of individuals that underwent epilepsy surgery.”
“Absence of pathology in the sample was confirmed by histological analysis in the respective area by a neuropathologist.”
The paper relies on this without support.
Post mortem samples with no indication of tumor or inflammatory disease are representative of normal human microglia.
“In post mortem sample collection, samples were included in the study only if no indication of a tumor or inflammatory disease was examined by histological analysis.”
The paper relies on this without support.
Orthologous genes across the compared species are functionally comparable for cross-species microglia transcriptome comparison.
“All genes from microglia core gene module (Figure 3A) were plotted unless an orthologous gene did not exist in one of the two compared species.”
“Genes with no orthologs are marked with a diagonally striped bar.”
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.
Complement and apoptotic-clearance Figure S6 references are reversed
MinorThe results cite S6F for apoptotic cell clearance and S6G for the complement pathway. The supplementary legend assigns S6F to complement and S6G to apoptotic cell clearance.
“apoptotic cell clearance (Figure S6F; Table S6)-and the complement pathway (STAR Methods; Figure S6G; Table S6)”
“(F) Specific genes from the classical complement pathway (GO: 0006956).(G) Specific genes from apoptotic cell clearance (GO: 0043277).”
PCA methods point to the wrong supplementary figure
MinorThe methods place the PCA in Figure S4, whereas the supplementary legend identifies the PCA plot as Figure S3B; Figure S4 is described as histology of P2Y12 and PU.1.
“PCA PCA in Figure S4 was performed in MATLAB R2018a (function PPCA) (Verbeek et al., 2002) based on sensible principal components analysis.”
“(B) Principal component analysis (PCA) plot of all genes from all species and their biological replicates.”
Macaque and marmoset Figure S5 references are reversed
MinorThe results assign macaque to Figure S5A and marmoset to Figure S5B, but the supplementary legend assigns S5A to marmoset and S5B to macaque.
“macaque (Figure S5A), marmoset (Figure S5B)”
“(A) Marmoset microglia (5 pooled brains).(B) Macaque microglia (5 pooled brains).”
Non-human-primate CD45 antibody has conflicting catalogue numbers
MinorThe flow-cytometry antibody table and key resources table list the same non-human-primate CD45-PE antibody from Miltenyi Biotec with different catalogue numbers.
“CD45-PE, non-human primate Miltenyi Biotec 130-091-897”
“CD45-PE, non-human primate Miltenyi Biotec Cat# 250204; RRID: AB_244325”
Single-cell comparison is incorrectly cited as Figure S4A
MinorThe methods cite Figure S4A for a single-cell expression comparison, but the supplementary legend describes S4A as P2Y12 histology. It describes the cross-species single-cell expression heatmap under Figure S3A.
“In order to compare single cell RNA-seq data to the deconvoluted bulk clustering in Figure 3A (Figure S4A), we collected single cells from microglia associated Metacells and computed the pooled expression for each species.”
“Figure: S4 Figure S4 . Conservation of P2Y12 and PU.1 across Microglia Evolution, Related to Figure3(A) Representative P2Y12 immunohistochemistry microscopical images from paraffin brain sections”
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E.U./U.S. CTAD TASK FORCE ON ALZHEIMER\'S TRIAL POPULATIONS
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Microglia states and nomenclature: A field at its crossroads
Paolicelli, R. C., Sierra, A., Stevens, B., Tremblay, M.-E., Aguzzi, A., Ajami, B., Amit, I., Audinat, E., Bechmann, I., Bennett, M., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.10.020 · Cited by 1,973 · see citing works
“Subsequently, a high-throughput comparative morphology analysis revealed a generally conserved evolutionary pattern, with some intriguing differences observed between the leech, zebrafish, axolotl, turtle, chicken, gecko, snake, bearded dragon, bat, boar, sheep, whale, hamster, rat, mouse, marmoset, macaque, and human…”
Self-citationAstrocyte Crosstalk in CNS Inflammation
Linnerbauer, M., Wheeler, M. A., & Quintana, F. J. (2020) · Neuron · doi:10.1016/j.neuron.2020.08.012 · Cited by 989 · see citing works
“Future studies should address important questions: (1) How many astrocyte subsets exist? (2) How are they regulated, how plastic are they, and what are their functions? (3) Where are they located? (4) With which cells do they communicate? (5) What are the correlates of these populations in humans? Clues to solving the…”
BackgroundA human brain vascular atlas reveals diverse mediators of Alzheimer’s risk
Yang, A. C., Vest, R. T., Kern, F., Lee, D. P., Agam, M., Maat, C. A., Losada, P. M., Chen, M. B., Schaum, N., Khoury, N., et al. (2022) · Nature · doi:10.1038/s41586-021-04369-3 · Cited by 797 · see citing works
Clinical relevance of tumour-associated macrophages
Pittet, M. J., Michielin, O. A., & Migliorini, D. (2022) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-022-00620-6 · Cited by 761 · see citing works
Microglia and Central Nervous System–Associated Macrophages—From Origin to Disease Modulation
Prinz, M., Masuda, T., Wheeler, M. A., & Quintana, F. J. (2021) · Annual Review of Immunology · doi:10.1146/annurev-immunol-093019-110159 · Cited by 584 · see citing works
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“1 10X Genomics Cat#PN-1000128 Chromium Single Cell 30 Feature Barcode Library Kit 10X Genomics Cat#PN-1000079 Neural Tissue Dissociation Kit (P) Miltenyi Biotec Cat#130-092-628 Chromium Next GEM Chip G Single Cell Kit,16 rxns 10X Genomics Cat#PN-1000127 Nextera XT DNA Library Preparation Kit (96 samples) Illumina Cat#…”
BackgroundMethodInfluentialCholesterol and matrisome pathways dysregulated in astrocytes and microglia
TCW, J., Qian, L., Pipalia, N. H., Chao, M. J., Liang, S. A., Shi, Y., Jain, B. R., Bertelsen, S. E., Kapoor, M., Marcora, E., et al. (2022) · Cell · doi:10.1016/j.cell.2022.05.017 · Cited by 411 · see citing works
Microglia Mediated Neuroinflammation in Parkinson’s Disease
Işık, S., Yeman-Kıyak, B., Akbayır, R., Şeyhali-Abutayeh, R., & Arpaci, T. (2023) · Cells · doi:10.3390/cells12071012 · Cited by 402 · see citing works
Martin, K. E., & Garcı́a, A. J. (2021) · Acta Biomaterialia · doi:10.1016/j.actbio.2021.03.038 · Cited by 384 · see citing works
Microglia Phenotypes in Aging and Neurodegenerative Diseases
Wendimu, M. Y., & Hooks, S. B. (2022) · Cells · doi:10.3390/cells11132091 · Cited by 336 · see citing works
Single-cell and spatial transcriptomics: deciphering brain complexity in health and disease
Piwecka, M., Rajewsky, N., & Rybak-Wolf, A. (2023) · Nature Reviews Neurology · doi:10.1038/s41582-023-00809-y · Cited by 320 · see citing works
Mapping single-cell atlases throughout Metazoa unravels cell type evolution
Tarashansky, A. J., Musser, J. M., Khariton, M., Li, P., Arendt, D., Quake, S. R., & Wang, B. (2021) · eLife · doi:10.7554/elife.66747 · Cited by 299 · see citing works
Bisht, K., Okojie, K. A., Sharma, K. P., Lentferink, D. H., Sun, Y., Chen, H., Uweru, J. O., Amancherla, S., Calcuttawala, Z., Campos-Salazar, A. B., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-25590-8 · Cited by 296 · see citing works
Single-cell RNA-seq reveals the transcriptional landscape in ischemic stroke
Zheng, K., Lin, L., Jiang, W., Chen, L., Zhang, X., Zhang, Q., Ren, Y., & Hao, J. (2021) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x211026770 · Cited by 306 · see citing works
“Recently, numerous studies with scRNA-seq or CyTOF revealed microglia heterogeneity in development, homeostasis, and diseases.(24) In our study, we identified five unique cell clusters (Figure 4(a)).”
BackgroundThe Contribution of Microglia to Neuroinflammation in Parkinson’s Disease
Badanjak, K., Fixemer, S., Smajić, S., Skupin, A., & Grünewald, A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094676 · Cited by 281 · see citing works
“Especially microglia pathways suspected to be implicated in neurodegenerative diseases such as the complement system and phagocytosis, as well as PD risk factors are more profoundly expressed in humans compared to rodents as the typical animal model [36].”
BackgroundAn in vivo neuroimmune organoid model to study human microglia phenotypes
Schafer, S. T., Mansour, A. A., Schlachetzki, J. C. M., Pena, M., Ghassemzadeh, S. S., Mitchell, L. E., Mar, A., Quang, D., Stumpf, S., Ortiz, I. S., et al. (2023) · Cell · doi:10.1016/j.cell.2023.04.022 · Cited by 269 · see citing works
Cytokines in CAR T Cell–Associated Neurotoxicity
Gust, J., Ponce, R. A., Liles, W. C., Garden, G. A., & Turtle, C. J. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.577027 · Cited by 268 · see citing works
Molecular and cellular evolution of the primate dorsolateral prefrontal cortex
Ma, S., Škarica, M., Li, Q., Xu, C., Risgaard, R. D., Tebbenkamp, A. T. N., Mato-Blanco, X., Kovner, R., Krsnik, Ž., de Martin, X., et al. (2022) · Science · doi:10.1126/science.abo7257 · Cited by 256 · see citing works
“By leveraging available cross-species snRNA-seq data (22, 25), we confirmed the species-specific presence of subtypes L2-3 CUX2 ARHGAP18 and InN LAMP5 SYT10 and Micro P2RY12 CCL3 and demonstrated that the detection of species-specific subtypes is not limited to the donors analyzed in this study (figs.”
BackgroundMethodResultLee, A., Sun, L., Mochizuki, A. Y., Reynoso, J. G., Orpilla, J. R., Chow, F. E., Kienzler, J. C., Everson, R. G., Nathanson, D. A., Bensinger, S. J., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-26940-2 · Cited by 262 · 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
Popova, G., Soliman, S. S., Kim, C. N., Keefe, M. G., Hennick, K. M., Jain, S., Li, T., Tejera, D., Shin, D. S., Chhun, B. B., et al. (2021) · Cell stem cell · doi:10.1016/j.stem.2021.08.015 · Cited by 237 · see citing works
Clarke, Z. A., Andrews, T. S., Atif, J., Pouyabahar, D., Innes, B. T., MacParland, S. A., & Bader, G. D. (2021) · Nature Protocols · doi:10.1038/s41596-021-00534-0 · Cited by 219 · see citing works
Tryptophan metabolism drives dynamic immunosuppressive myeloid states in IDH-mutant gliomas
Friedrich, M., Sankowski, R., Bunse, L., Kilian, M., Green, E., Guevara, C. R., Pusch, S., Poschet, G., Sanghvi, K., Hahn, M., et al. (2021) · Nature Cancer · doi:10.1038/s43018-021-00201-z · Cited by 232 · see citing works
Self-citationXu, R., Boreland, A. J., Li, X., Erickson, C., Jin, M., Atkins, C., Pang, Z. P., Daniels, B. P., & Jiang, P. (2021) · Stem Cell Reports · doi:10.1016/j.stemcr.2021.06.011 · Cited by 222 · see citing works
Comparative transcriptomics reveals human-specific cortical features
Jorstad, N. L., Song, J. H. T., Exposito-Alonso, D., Suresh, H., Castro-Pacheco, N., Krienen, F. M., Yanny, A. M., Close, J., Gelfand, E., Long, B., et al. (2023) · Science · doi:10.1126/science.ade9516 · Cited by 208 · see citing works
Cell transcriptomic atlas of the non-human primate Macaca fascicularis
Han, L., Wei, X., Liu, C., Volpe, G., Zhuang, Z., Zou, X., Wang, Z., Pan, T., Yuan, Y., Zhang, X., et al. (2022) · Nature · doi:10.1038/s41586-022-04587-3 · Cited by 209 · see citing works
Glial and myeloid heterogeneity in the brain tumour microenvironment
Andersen, B. M., Akl, C. F., Wheeler, M. A., Chiocca, E. A., Reardon, D. A., & Quintana, F. J. (2021) · Nature reviews. Cancer · doi:10.1038/s41568-021-00397-3 · Cited by 211 · see citing works
Transcriptional profiling and therapeutic targeting of oxidative stress in neuroinflammation
Mendiola, A. S., Ryu, J. K., Bardehle, S., Meyer-Franke, A., Ang, K. K.-H., Wilson, C., Baeten, K. M., Hanspers, K., Merlini, M., Thomas, S., et al. (2020) · Nature Immunology · doi:10.1038/s41590-020-0654-0 · Cited by 199 · see citing works
Synapse pathology in Alzheimer’s disease
Griffiths, J., & Grant, S. G. N. (2022) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2022.05.028 · Cited by 203 · see citing works
Microglia in multiple sclerosis: protectors turn destroyers
Yong, V. W. (2022) · Neuron · doi:10.1016/j.neuron.2022.06.023 · Cited by 185 · see citing works
Microglia-containing human brain organoids for the study of brain development and pathology
Zhang, W., Jiang, J., Xu, Z., Yan, H., Tang, B., Liu, C., Chen, C., & Meng, Q. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01892-1 · Cited by 188 · see citing works
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Microglia and lipids: how metabolism controls brain innate immunity
Chausse, B., Kakimoto, P. A., & Kann, O. (2021) · Seminars in Cell & Developmental Biology · doi:10.1016/j.semcdb.2020.08.001 · Cited by 181 · see citing works
Jin, M., Xu, R., Wang, L., Alam, M. M., Ma, Z., Zhu, S., Martini, A. C., Jadali, A., Bernabucci, M., Xie, P., et al. (2022) · Cell Stem Cell · doi:10.1016/j.stem.2022.06.007 · Cited by 174 · see citing works
Developmental mechanisms underlying the evolution of human cortical circuits
Vanderhaeghen, P., & Polleux, F. (2023) · Nature Reviews Neuroscience · doi:10.1038/s41583-023-00675-z · Cited by 173 · see citing works
CNS-Native Myeloid Cells Drive Immune Suppression in the Brain Metastatic Niche through Cxcl10
Guldner, I. H., Wang, Q., Yang, L., Golomb, S. M., Zhao, Z., Lopez, J. A., Brunory, A., Howe, E. N., Zhang, Y., Palakurthi, B., et al. (2020) · Cell · doi:10.1016/j.cell.2020.09.064 · Cited by 169 · see citing works
“Human scRNA-seq and CyTOF Data Analysis—Human scRNAseq datasets were derived from two previous publications (Geirsdottir et al., 2019; Laughney et al., 2020) and accessed through Gene Expression Omnibus (metastasis data sets: GSE123904; naive data sets: GSE134707).”
MethodA multi-pronged human microglia response to Alzheimer’s disease Aβ pathology
Mancuso, R., Fattorelli, N., Martinez-Muriana, A., Davis, E., Wolfs, L., Van Den Daele, J., Geric, I., Preman, P., Serneels, L., Poovathingal, S., et al. (2022) · doi:10.1101/2022.07.07.499139 · Cited by 169 · see citing works
“Mouse and human microglia are evolutionarily divergent, for instance, regarding the expression of relevant AD genetic risk 7,14,15 .”
BackgroundWang, Z., Wu, Z., Wang, H., Feng, R., Wang, G., Li, M., Wang, S.-Y., Chen, X., Su, Y., Wang, J., et al. (2023) · Cell · doi:10.1016/j.cell.2023.08.019 · Cited by 152 · see citing works
Self-citationAnalyzing microglial phenotypes across neuropathologies: a practical guide
Schwabenland, M., Brück, W., Priller, J., Stadelmann, C., Lassmann, H., & Prinz, M. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02370-8 · Cited by 149 · see citing works
Self-citationLeveraging preclinical models for the development of Alzheimer disease therapeutics
Scearce-Levie, K. A., Sanchez, P. E., & Lewcock, J. W. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0065-9 · Cited by 118 · see citing works
Distinct regional ontogeny and activation of tumor associated macrophages in human glioblastoma
Landry, A., Balas, M., Alli, S. B., Spears, J., & Zador, Z. E. (2020) · Scientific Reports · doi:10.1038/s41598-020-76657-3 · Cited by 108 · see citing works
Stem-cell-derived human microglia transplanted into mouse brain to study human disease
Fattorelli, N., Martínez‐Muriana, A., Wolfs, L., Geric, I., Strooper, B. D., & Mancuso, R. (2021) · Nature Protocols · doi:10.1038/s41596-020-00447-4 · Cited by 108 · see citing works
Oligodendrocytes and Microglia: Key Players in Myelin Development, Damage and Repair
Kalafatakis, I., & Karagogeos, D. (2021) · Biomolecules · doi:10.3390/biom11071058 · Cited by 111 · see citing works
Microglial efferocytosis: Diving into the Alzheimer’s disease gene pool
Romero-Molina, C., Garretti, F., Andrews, S. J., Marcora, E., & Goate, A. M. (2022) · Neuron · doi:10.1016/j.neuron.2022.10.015 · Cited by 111 · see citing works
Augusto‐Oliveira, M., Arrifano, G. D. P., Delage, C. I., Tremblay, M., Lopez, M. E. C., & Verkhratsky, A. (2021) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12797 · Cited by 112 · see citing works
Role of the Microenvironment in Glioma Pathogenesis
Jayaram, M. A., & Phillips, J. J. (2023) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-051122-110348 · Cited by 114 · see citing works
Single-cell RNA-seq analysis of human CSF microglia and myeloid cells in neuroinflammation
Esaulova, E., Cantoni, C., Shchukina, I., Zaitsev, K., Bucelli, R. C., Wu, G. F., Artyomov, M. N., Cross, A. H., & Edelson, B. T. (2020) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000732 · Cited by 101 · see citing works
Microglia-Mediated Neurodegeneration in Perinatal Brain Injuries
Fleiss, B., Steenwinckel, J. V., Bokobza, C., Shearer, I. K., Ross-Munro, E., & Gressèns, P. (2021) · Biomolecules · doi:10.3390/biom11010099 · Cited by 103 · see citing works
“Species is also another significant factor in the expression profile of MG [66] and a focus on understanding changes the core across-species markers will improve the translational potential of work on MG.”
BackgroundThe microbiota–microglia axis in central nervous system disorders
Mossad, O., & Erny, D. (2020) · Brain Pathology · doi:10.1111/bpa.12908 · Cited by 98 · see citing works
“Of outstanding interest is the question how various species-, host-, and tissue-specific factors next to environmental factors including the microbiota can shape CNS diseases via microglia, the never resting tissue macrophages of the CNS (227, 228).”
BackgroundSelf-citationWang, F., Ding, P., Liang, X., Ding, X., Brandt, C. B., Sjöstedt, E., Zhu, J., Bolund, S., Zhang, L., de Rooij, L. P. M. H., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-31388-z · Cited by 95 · see citing works
Two phenotypically and functionally distinct microglial populations in adult zebrafish
Wu, S., Nguyen, L. T. M., Pan, H., Hassan, S., Dai, Y., Xu, J., & Wen, Z. (2020) · Science Advances · doi:10.1126/sciadv.abd1160 · Cited by 93 · see citing works
Tracing cell-type evolution by cross-species comparison of cell atlases
Wang, J., Sun, H., Jiang, M., Li, J., Zhang, P., Chen, H., Mei, Y., Fei, L., Lai, S., Han, X., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108803 · Cited by 90 · see citing works
Microglia Diversity in Healthy and Diseased Brain: Insights from Single-Cell Omics
Ochocka, N., & Kaminska, B. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22063027 · Cited by 91 · see citing works
The emerging tale of microglia in psychiatric disorders
Rahimian, R., Wakid, M., O’Leary, L. A., & Mechawar, N. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.09.023 · Cited by 95 · see citing works
Noteworthy perspectives on microglia in neuropsychiatric disorders
Zhu, H., Guan, A., Liu, J., Li, P., Zhang, Z., & Wang, S. (2023) · Journal of Neuroinflammation · doi:10.1186/s12974-023-02901-y · Cited by 91 · see citing works
“The gene profile of microglia in most mammals are relatively conservative, while human microglia exhibit extensive heterogeneity that predominantly enriched in host defense and immune response modulation [7–10].”
BackgroundWalker, L. C. (2020) · Free Neuropathology · doi:10.17879/freeneuropathology-2020-3025 · Cited by 108 · see citing works
Microglia heterogeneity, modeling and cell-state annotation in development and neurodegeneration
Fumagalli, L., Nazlie Mohebiany, A., Premereur, J., Polanco Miquel, P., Bijnens, B., Van de Walle, P., Fattorelli, N., & Mancuso, R. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-01931-4 · Cited by 90 · see citing works
“…have been instrumental in shedding light on the transcriptional heterogeneity of microglia in neurodegenerative diseases, and multiple microglial states have been identified that possess unique gene expression characteristics beyond their fundamental microglial core transcriptional identity 11 .”
Human neuronal maturation comes of age: cellular mechanisms and species differences
Wallace, J. L., & Pollen, A. A. (2024) · Nature Reviews Neuroscience · doi:10.1038/s41583-023-00760-3 · Cited by 82 · see citing works
“…studies have utilized optimized protocols to characterize microglial transcriptional diversity throughout development 174,175 and across species 176 , providing a foundation for future work to clarify which microglial mechanisms act on which cell types and stages of maturation in human neurons.”
Developmental and evolutionary dynamics of cis-regulatory elements in mouse cerebellar cells
Sarropoulos, I., Sepp, M., Frömel, R., Leiss, K., Trost, N., Leushkin, E. V., Okonechnikov, K., Joshi, P. K., Giere, P., Kutscher, L. M., et al. (2021) · Science · doi:10.1126/science.abg4696 · Cited by 79 · see citing works
“S16A), consistent with the rapid divergence in gene expression and morphology of microglia (44).”
ResultCellular and Molecular Mechanisms Linking Human Cortical Development and Evolution
Libé-Philippot, B., & Vanderhaeghen, P. (2021) · Annual Review of Genetics · doi:10.1146/annurev-genet-071719-020705 · Cited by 78 · see citing works
Microglia transcriptional states and their functional significance: Context drives diversity
Depp, C., Doman, J. L., Hingerl, M., Xia, J., & Stevens, B. (2025) · Immunity · doi:10.1016/j.immuni.2025.04.009 · Cited by 81 · see citing works
How microbiota shape microglial phenotypes and epigenetics
Erny, D., & Prinz, M. (2020) · Glia · doi:10.1002/glia.23822 · Cited by 77 · see citing works
“microglia in marmosets), varying microglia numbers and different extent of microglial heterogeneity revealed by single-cell RNA-seq (Geirsdottir et al., 2019).”
BackgroundInfluentialSelf-citationNecrotic reshaping of the glioma microenvironment drives disease progression
Markwell, S. M., Ross, J., Olson, C. L., & Brat, D. J. (2022) · Acta Neuropathologica · doi:10.1007/s00401-021-02401-4 · Cited by 81 · see citing works
Diversity and function of brain-associated macrophages
Mildenberger, W., Stifter, S. A., & Greter, M. (2022) · Current Opinion in Immunology · doi:10.1016/j.coi.2022.102181 · Cited by 76 · see citing works
Common cell type nomenclature for the mammalian brain
Miller, J. A., Gouwens, N. W., Tasic, B., Collman, F., van Velthoven, C. T. J., Bakken, T. E., Hawrylycz, M., Zeng, H., Lein, E. S., & Bernard, A. (2020) · eLife · doi:10.7554/elife.59928 · Cited by 73 · see citing works
“This convention is used as the cell set aligned alias tag in the CCN and ideally should directly map to cell types defined in a relevant ontology (i.e., Cell Ontology [Diehl et al., 2016] or Neuron Phenotype Ontology [Gillespie et al., 2020]).”
MethodFruhwürth, S., Zetterberg, H., & Paludan, S. R. (2024) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2024.578342 · Cited by 75 · see citing works
“Most of the work on this topic has been done using transgenic mouse models of AD and given the obvious differences between human and mouse microglia (Chen and Colonna, 2021; Geirsdottir et al., 2019; Hasselmann and Blurton-Jones, 2020), the question remains how translatable these results are.”
Interindividual variation in human cortical cell type abundance and expression
Johansen, N., Somasundaram, S., Travaglini, K. J., Yanny, A. M., Shumyatcher, M., Casper, T., Cobbs, C., Dee, N., Ellenbogen, R. G., Ferreira, M. L., et al. (2023) · Science · doi:10.1126/science.adf2359 · Cited by 73 · see citing works
“Third, this study represents a very detailed eQTL analysis in adult human brains, providing an opportunity to associate disease-risk genes and variants from genome-wide associate studies ( 52 ) with gene expression in specific subclasses.”
BackgroundImmune Activation in Alzheimer Disease
Mary, A., Mancuso, R., & Heneka, M. T. (2024) · Annual Review of Immunology · doi:10.1146/annurev-immunol-101921-035222 · Cited by 79 · see citing works
Noh, M., Kwon, H. S., Kwon, M., Nahm, M., Jin, H. K., Bae, J., & Kim, S. H. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00867-4 · Cited by 85 · see citing works
Single cell atlas for 11 non-model mammals, reptiles and birds
Chen, D., Sun, J. G., Zhu, J., Ding, X., Lan, T., Wang, X., Wu, W., Ou, Z., Zhu, L., Ding, P., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-27162-2 · Cited by 67 · see citing works
Microglia Diversity in Health and Multiple Sclerosis
Zia, S., Rawji, K. S., Michaels, N. J., Burr, M. K., Kerr, B. J., Healy, L. M., & Plemel, J. R. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.588021 · Cited by 69 · see citing works
Macrophage Responses to Environmental Stimuli During Homeostasis and Disease
Rasheed, A., & Rayner, K. J. (2021) · Endocrine Reviews · doi:10.1210/endrev/bnab004 · Cited by 79 · see citing works
Yang, H. S., Onos, K. D., Choi, K., Keezer, K. J., Skelly, D. A., Carter, G. W., & Howell, G. R. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108739 · Cited by 69 · see citing works
“single-cell sequencing technology, a number of groups have suggested that the species difference is too great for conclusions drawn from mouse models to inform our understanding of human microglia (Friedman et al., 2018; Geirsdottir et al., 2019).”
BackgroundMicroglia in Parkinson’s Disease
Stefanova, N. (2022) · Journal of Parkinson s Disease · doi:10.3233/jpd-223237 · Cited by 75 · see citing works
“Microglial transcriptional subpopulations were also shown by scRNAseq in human and animal brains [18].”
A PGE2-MEF2A axis enables context-dependent control of inflammatory gene expression
Cilenti, F., Barbiera, G., Caronni, N., Iodice, D., Montaldo, E., Barresi, S., Lusito, E., Cuzzola, V., Vittoria, F. M., Mezzanzanica, L., et al. (2021) · Immunity · doi:10.1016/j.immuni.2021.05.016 · Cited by 71 · see citing works
Dissecting the complexities of Alzheimer disease with in vitro models of the human brain
Blanchard, J., Victor, M. B., & Tsai, L. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00578-6 · Cited by 65 · see citing works
Durán, R. C., González-Orozco, J. C., Velasco, I., & Wu, J. Q. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.884748 · Cited by 64 · see citing works
The transcriptional and regulatory identity of erythropoietin producing cells
Kragesteen, B. K., Giladi, A., David, E., Halevi, S., Geirsdóttir, L., Lempke, O. M., Li, B., Bapst, A. M., Xie, K., Katzenelenbogen, Y., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02314-7 · Cited by 61 · see citing works
Self-citationA molecular and cellular perspective on human brain evolution and tempo
Lindhout, F. W., Krienen, F. M., Pollard, K. S., & Lancaster, M. A. (2024) · Nature · doi:10.1038/s41586-024-07521-x · Cited by 70 · see citing works
A lamprey neural cell type atlas illuminates the origins of the vertebrate brain
Lamanna, F., Hervas-Sotomayor, F., Oel, A. P., Jandzík, D., Sobrido‐Cameán, D., Santos-Durán, G. N., Martik, M. L., Štundl, J., Green, S. A., Brüning, T., et al. (2023) · Nature Ecology & Evolution · doi:10.1038/s41559-023-02170-1 · Cited by 78 · see citing works
“…of the two atlases were contrasted separately using a dedicated method for homologous cell type detection (self-assembling manifold mapping (SAMap)) 19 and a correlation-based analysis of gene expression that also considers paralogous genes and was adapted from a previous approach 20 (Methods).”
MethodThe evolution of the human brain and disease susceptibility
Pattabiraman, K., Muchnik, S. K., & Šestan, N. (2020) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2020.05.004 · Cited by 57 · see citing works
Zambusi, A., Novoselc, K. T., Hutten, S., Kalpazidou, S., Koupourtidou, C., Schieweck, R., Aschenbroich, S., da Silva, L. A. G., Yazgili, A. S., van Bebber, F., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01199-y · Cited by 61 · see citing works
Silva, N. J., Dorman, L. C., Vainchtein, I. D., Horneck, N. C., & Molofsky, A. V. (2021) · Nature Communications · doi:10.1038/s41467-021-26206-x · Cited by 67 · see citing works
Pettas, S., Karagianni, K., Kanata, Ε., Chatziefstathiou, A., Christoudia, N., Xanthopoulos, K., Sklaviadis, T., & Dafou, D. (2022) · Cells · doi:10.3390/cells11152383 · Cited by 63 · see citing works
“In conclusion, scRNAseq techniques have shown for the first time the increased variation in microglial cell populations, especially in humans, where heterogeneity is significant, in contrast to mouse and other species models, which demonstrate one largely dominant microglial type [53].”
ResultGaucher disease: Basic and translational science needs for more complete therapy and management
Grabowski, G. A., Antommaria, A. H. M., Kolodny, E. H., & Mistry, P. K. (2020) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2020.12.291 · Cited by 59 · see citing works
Pushing the boundaries of brain organoids to study Alzheimer’s disease
Cerneckis, J., Bu, G., & Shi, Y. (2023) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2023.05.007 · Cited by 61 · see citing works
Glial smog: Interplay between air pollution and astrocyte-microglia interactions
Gómez‐Budia, M., Konttinen, H., Saveleva, L., Korhonen, P., Jalava, P., Kanninen, K. M., & Malm, T. (2020) · Neurochemistry International · doi:10.1016/j.neuint.2020.104715 · Cited by 59 · see citing works
Promises and Limitations of Neural Stem Cell Therapies for Progressive Multiple Sclerosis
Pluchino, S., Smith, J. A., & Peruzzotti‐Jametti, L. (2020) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2020.04.005 · Cited by 58 · see citing works
“Although activated MPs are often reductively considered in terms of pro- or antiinflammatory MPs, single-cell techniques emphasize the transcriptional, phenotypic and ultimately functional diversity of MPs [24,25], underscoring the need for caution in extrapolating from animal models to humans [26].”
BackgroundGPCRomics of homeostatic and disease-associated human microglia
Hsiao, C.-C., Sankowski, R., Prinz, M., Smolders, J., Huitinga, I., & Hamann, J. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.674189 · Cited by 59 · see citing works
Self-citationUnderstanding microglial diversity and implications for neuronal function in health and disease
Schepper, S. D., Crowley, G., & Hong, S. Y. (2020) · Developmental Neurobiology · doi:10.1002/dneu.22777 · Cited by 55 · see citing works
“(Böttcher et al., 2018; Geirsdottir et al., 2019; Masuda et al., 2019; Mathys et al., 2019; Sala Frigerio et al., 2019; Zhou et al., 2020) Latest data indicate limited convergence between murine and human microglia, in particular to candidate AD risk genes.”
BackgroundJoers, V., Masilamoni, G., Kempf, D., Weiss, A. R., Rotterman, T. M., Murray, B., Yalcin-Cakmakli, G., Voll, R. J., Goodman, M. M., Howell, L., et al. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.105027 · Cited by 56 · see citing works
Microglia Activation and Inflammation During the Death of Mammalian Photoreceptors
Karlen, S. J., Miller, E. B., & Burns, M. E. (2020) · Annual Review of Vision Science · doi:10.1146/annurev-vision-121219-081730 · Cited by 57 · see citing works
Glial Cells Promote Myelin Formation and Elimination
Hughes, A. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.661486 · Cited by 58 · see citing works
Kim, J. S., Pavlidis, P., & Ciernia, A. V. (2024) · eNeuro · doi:10.1523/eneuro.0014-24.2024 · Cited by 58 · see citing works
Regulatory function of microRNAs in microglia
Brites, D. M. T. O. (2020) · Glia · doi:10.1002/glia.23846 · Cited by 55 · see citing works
“Through the last years, microglial transcriptome signatures in mouse, human and other species in health and disease conditions have been established (Geirsdottir et al., 2019) including miRNAs.”
BackgroundMicroglia in Health and Disease: The Strength to Be Diverse and Reactive
Huarte, O. U., Richart, L., Mittelbronn, M. G. A., & Michelucci, A. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.660523 · Cited by 54 · see citing works
“In brain tumors, microglia, along with tumor-infiltrating macrophages, constitute the predominant immunological cell types (Graeber et al., 2002) and have been shown to affect tumor progression as well as patient survival (Morimura et al., 1990; Gieryng et al., 2017; Sorensen et al., 2018).”
BackgroundLiu, X., Shen, Q., & Zhang, S. (2022) · Genome Research · doi:10.1101/gr.276868.122 · Cited by 56 · see citing works
Validation of Induced Microglia-Like Cells (iMG Cells) for Future Studies of Brain Diseases
Banerjee, A., Lu, Y., Do, K., Mize, T. J., Wu, X., Chen, X., & Chen, J. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.629279 · Cited by 55 · see citing works
“in M2-state possessed short and thick processes (Lecours et al., 2018; Geirsdottir et al., 2019).”
BackgroundMicroglia and Microglia-Like Cells: Similar but Different
Cuadros, M. Á., Sepúlveda, M. R., Martín‐Oliva, D., Marín‐Teva, J. L., & Neubrand, V. E. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.816439 · Cited by 57 · see citing works
Sex Differences in Poststroke Inflammation: a Focus on Microglia Across the Lifespan
Ugidos, I. F., Pistono, C., Korhonen, P., Gómez‐Budia, M., Sitnikova, V., Klecki, P., Stanová, I., Jolkkonen, J., & Malm, T. (2022) · Stroke · doi:10.1161/strokeaha.122.039138 · Cited by 53 · see citing works
- Authors
- Geirsdottir, L., David, E., Keren-Shaul, H., Weiner, A., Bohlen, S. C., Neuber, J., Balic, A., Giladi, A., Sheban, F., Dutertre, C.-A., Pfeifle, C., Peri, F., Raffo-Romero, A., Vizioli, J., Matiasek, K., Scheiwe, C., Meckel, S., Mätz-Rensing, K., van der Meer, F., Thormodsson, F. R., Stadelmann, C., Zilkha, N., Kimchi, T., Ginhoux, F., Ulitsky, I., Erny, D., Amit, I., & Prinz, M.
- Affiliations
- Weizmann Institute of Science (IL)
- University of Freiburg (DE)
- Roslin Institute (GB)
- Agency for Science, Technology and Research (SG)
- Max Planck Institute for Evolutionary Biology (DE)
- University of Zurich (CH)
- Inserm (FR)
- Ludwig-Maximilians-Universität München (DE)
- Innovation Center Iceland (IS)
- Universitätsmedizin Göttingen (DE)
- Corresponding author
- Erny, Daniel
- Amit, Ido
- Prinz, Marco
- ORCID
- David, Eyal
- Weiner, Assaf
- Neuber, Jana
- Balic, Adam
- Giladi, Amir
- Sheban, Fadi
- Dutertre, Charles-Antoine
- Pfeifle, Christine
- Peri, Francesca
- Vizioli, Jacopo
- Matiasek, Kaspar
- Scheiwe, Christian
- Meckel, Stephan
- Thormodsson, Finnbogi Rutur
- Stadelmann, Christine
- Zilkha, Noga
- Kimchi, Tali
- Ginhoux, Florent
- Ulitsky, Igor
- Erny, Daniel
- Amit, Ido
- Prinz, Marco
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2019-12
- Volume
- 179
- Issue
- 7
- Pages
- 1609-1622.e16
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2996729595
- Semantic Scholar
- f1088abd77215a8a0ff7c2586e1119fc5d78bde5
- Cited by
- 461
- References
- 93
- Citations by year
- 2026: 49 · 2025: 48 · 2024: 78 · 2023: 62 · 2022: 92 · 2021: 79 · 2020: 53
- FWCI
- 20.71
- Type
- journal article
- Language
- en
- Update notices
- erratum (2020-04-30)
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by-nc-nd)
- HAL (Le Centre pour la Communication Scientifique Directe) (submittedVersion)
- GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) (submittedVersion, cc-by)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Funders
- Chan Zuckerberg Initiative
- HHMI
- European Research Council (ERC-COG 724471-HemTree2.0)
- MRA (509044)
- DFG (SFB/TRR167, SFB 992, SFB1160, Reinhart Koselleck, 390939984)
- Ernest and Bonnie Beutler Research Program for Excellence in Genomic Medicine
- Helen and Martin Kimmel
- Wolfson Foundation and Family Charitable Trust
- Thompson Family Foundation Alzheimer’s Research Fund
- Adelis Foundation
- Eden and Steven Romick Post-Doctoral Fellowship Fund
- International Progressive MS Alliance (PA-1604-08459)
- Berta Ottenstein Programme for Clinician Scientists
- Sobek Foundation
- Ernst-Jung Foundation
- Ministry of Science, Research and Arts, Baden-Wuerttemberg (Sonderlinie “Neuroinflammation”)
- ISF (1324/15)
- Minerva Foundation
- Biotechnology and Biological Sciences Research Council of the United Kingdom
- Institute Strategic Programme (BBS/E/D/10002071)
- EMBO
- Singapore Immunology Network
- Singapore National Research Foundation (NRF2016NRF-NRFI001-02)
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- microglia, primate evolution, single-cell transcriptomics, microglial heterogeneity, microglial morphology, microglia-neuron interaction, complement system, phagocytosis, Alzheimer's disease, Parkinson's disease, cross-species comparison
- MeSH terms
- Animals, Chickens, Humans, Primates, Reptiles, Rodentia, Sheep, Swine, Zebrafish, Microglia, Evolution, Molecular, Neurodegenerative Diseases, Genetic Predisposition to Disease, Gene Expression Profiling, Gene Regulatory Networks, Single-Cell Analysis, Transcriptome
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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.
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