The DOI matches its Crossref record; 103 of the 103 references it cites were found in a registry or an index; 32 of the 45 sources its claims cite were checked for support.
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.
Overview
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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.
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Claims the paper makes
32 of 45 cited sources checked · 10 supported · 0 flagged · accuracy not yet measured
The cited sources that could be checked couldn’t confirm or dispute this claim.
In the paper
“The transcription factors Spi1 and Irf8 have been shown to be the core orchestrators for microglia development”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Microglia Express a Core Gene Program across Evolutionarily Distant Species
What the sources say
- Could not verifycites Hoeffel et al., 2015 sourceExperimental — accuracy not yet measured
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)
- Not checked — no full text of the sourcecites Kierdorf et al., 2013 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Could not verify
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Microglia Express a Core Gene Program across Evolutionarily Distant Species
What the sources say
- Could not verifycites Cohen et al., 2014 sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites Cronk et al., 2018 sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites Elmore et al., 2014 sourceExperimental — accuracy not yet measured
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)
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Could not verify
The cited sources that could be checked couldn’t confirm or dispute this claim.
In the paper
“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”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > INTRODUCTION
What the sources say
- Could not verifycites Giladi and Amit, 2018 sourceExperimental — accuracy not yet measured
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)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Could not verify
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“microglia-specific pathways, such as Trem2-Tyrobp and ApoE, are critical determinants in AD and other neurodegenerative diseases”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > INTRODUCTION
What the sources say
- Partly supportedcites Jansen et al., 2019 sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites Lambert et al., 2013 sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites Keren-Shaul et al., 2017 sourceExperimental — accuracy not yet measured
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)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“CSF1R mutations also reduce microglia numbers in the human brain”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Microglia Express a Core Gene Program across Evolutionarily Distant Species
What the sources say
- Partly supportedcites Colonna and Butovsky, 2017 sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“successful translation from neurodegenerative animal models to human clinical trials is far from adequate”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Inter-species Comparison Identifies Divergence in Metabolic and Immune Pathways
What the sources say
- Not checked — no full text of the sourcecites Doody, 2017 source
- Partly supportedcites Sperling et al., 2014 sourceExperimental — accuracy not yet measured
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)
- Not checked — no full text of the sourcecites Vellas et al., 2014 source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Also stated in: § Inter-species Comparison Identifies Divergence in Metabolic and Immune Pathways · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Also stated in: § (legend continued on next page) · hedged
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Abstract
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Also stated in: § Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“we did not observe microglia heterogeneity in wild mice”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes
- Probably not a substantial claim. 36
- It may state two separate claims as one. 36
- The quote only partly states this claim. 1
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Microglia are the primary resident immune cells of the CNS parenchyma and are seeded during development from mesodermal progenitors”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > INTRODUCTION
What the sources say
- Not checked — no full text of the sourcecites Alliot et al., 1999 source
- Supportedcites Ginhoux et al., 2010 source
The Abstract identifies microglia as resident macrophages of the CNS and reports that adult microglia derive from primitive myeloid progenitors arising before embryonic day 8. The developmental account describes these progenitors in the yolk sac and their subsequent seeding of the brain, supporting the claim's developmental-origin paraphrase. (LLM, conf=0.88)
- Not checked — no full text of the sourcecites Kierdorf et al., 2013 source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“These genes are highly enriched in microglia and are not upregulated in monocytes that engraft the brain in microglia-depleted mouse models”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Microglia Express a Core Gene Program across Evolutionarily Distant Species
What the sources say
- Partly supportedcites Bennett et al., 2018 sourceExperimental — accuracy not yet measured
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)
- Supportedcites Cronk et al., 2018 source
In Results (‘beMφs have a predictable genetic signature’; page unavailable), the paper reports that its microglia gene signature was enriched in microglia across three models of brain engraftment, while engrafted macrophages had a distinct signature. It also identifies P2ry12 as a microglia-specific marker absent from the engrafted cells. The Introduction identifies homeostatic microglia as originating from the yolk-sac lineage. (LLM, conf=0.90)
- Partly supportedcites Shemer et al., 2018 sourceExperimental — accuracy not yet measured
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)
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“These cells are implicated in sterile inflammation, wound healing, and age-related processes, including neurodegeneration”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets
What the sources say
- Partly supportedcites Bussian et al., 2018 sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“scRNA-seq has been used to deconvolve immune cell type heterogeneity by identifying novel distinct immune cell subsets in health and disease”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > INTRODUCTION
What the sources say
- Partly supportedcites Jaitin et al., 2014 sourceExperimental — accuracy not yet measured
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)
- Supportedcites Keren-Shaul et al., 2017 source
The Introduction describes single-cell RNA-seq as a tool for resolving immune-cell heterogeneity across normal and disease states. The Results report that analysis of cells from wild-type and Alzheimer’s disease mice identified distinct immune subpopulations, including rare ones. (LLM, conf=0.92)
- Not checked — no full text of the sourcecites Papalexi and Satija, 2018 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Among them is Adgrg1 (Gpr56), demonstrated previously to be conserved in human, mouse, and zebrafish, which is associated with development of oligodendrocytes”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > (legend continued on next page)
What the sources say
- Supportedcites Giera et al., 2018 source
The Introduction (page not provided) explicitly calls ADGRG1 an evolutionarily conserved regulator of oligodendrocyte development in zebrafish, mice, and humans. It also describes effects of Adgrg1 loss on oligodendrocyte precursor proliferation and myelination. (LLM, conf=0.95)
Strength:boosted· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Microglia Express a Core Gene Program across Evolutionarily Distant Species
What the sources say
- Partly supportedcites Caciotti et al., 2013 sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets
What the sources say
- Partly supportedcites He and Sharpless, 2017 sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“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”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Microglia Express a Core Gene Program across Evolutionarily Distant Species
What the sources say
- Supportedcites Paolicelli et al., 2017 source
The Results section on the AD mouse model reports that microglia lacking TDP-43 showed enhanced amyloid clearance alongside significant synapse loss. The paper identifies TDP-43 as encoded by Tardbp, and its Results link TDP-43 depletion to increased phagocytic uptake of Aβ. The supplied passages do not give page numbers. (LLM, conf=0.93)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“inflammatory cytokines have been seen previously in a sub-set of microglia in aged C57BL/6 mice”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets
What the sources say
- Supportedcites Hammond et al., 2019 source
The Results section reports that a small microglial population enriched in aged mice expresses inflammatory signals, including Il1b. The Discussion also identifies Il1b and Tnf in this subpopulation, and the STAR Methods specify that the mice used were C57BL/6J. Page numbers are not available in our copy. (LLM, conf=0.92)
- Not checked — no full text of the sourcecites Sierra et al., 2007 source
- Partly supportedcites Mrdjen et al., 2018 sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Its expression has been shown to be increased in several neurological diseases, such as AD”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Microglia Express a Core Gene Program across Evolutionarily Distant Species
What the sources say
- Partly supportedcites Borggrewe et al., 2018 sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Partly supported
The cited sources that could be checked couldn’t confirm or dispute this claim.
In the paper
“We estimated the level of spurious UMIs in the data using statistics on empty MARS-seq wells as previously described (Jaitin et al., 2014).”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
What the sources say
- Could not verifycites Jaitin et al., 2014 sourceExperimental — accuracy not yet measured
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)
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Could not verify
Every source the paper cites for this claim was checked and supports it.
In the paper
“which have been implicated previously in longevity”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Inter-species Comparison Identifies Divergence in Metabolic and Immune Pathways
What the sources say
- Supportedcites Ungvari et al., 2008 source
The ‘Repair of oxidative DNA damage’ section reports that earlier studies proposed a correlation between DNA repair efficiency and maximum species lifespan, and describes evidence linking nucleotide excision repair to lifespan. It also cautions that DNA damage’s contribution to longevity remains debated. That supports the claim’s modest wording, ‘implicated.’ (LLM, conf=0.92)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“This is in accordance with previous reports showing high constraints of brain gene expression variance across evolution”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > DISCUSSION
What the sources say
- Supportedcites Chan et al., 2009 source
The Results section reports that brain gene expression was the most similar across the vertebrate species studied compared with other tissues, and describes its relatively low divergence as consistent with evolutionary constraints. This supports the claim as a paraphrase, although the proposed reason for those constraints is explicitly a hypothesis. (LLM, conf=0.91)
- Not checked — no full text of the sourcecites Brawand et al., 2011 source
- Supportedcites Chen et al., 2019 source
In Results, under “Evolutionary distribution of gene expression levels predict gene function,” the paper reports that brain had the most genes with low evolutionary variance, which it identifies as the most constraint. It also says this finding is consistent with previous estimates for brain expression evolution. (LLM, conf=0.94)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Previously, genes expressed by microglia have been implicated in AD in human GWASs”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Inter-species Comparison Identifies Divergence in Metabolic and Immune Pathways
What the sources say
- Could not verifycites Gandal et al., 2018 sourceExperimental — accuracy not yet measured
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)
- Supportedcites Jansen et al., 2019 source
The Results section reports associations between AD genetic signals and microglia-expressed gene sets in both mouse and independent human single-cell expression datasets. The associations did not survive the study’s stringent Bonferroni correction, but the claim’s cautious wording, “implicated,” is consistent with the reported signals. (LLM, conf=0.88)
- Partly supportedcites Keren-Shaul et al., 2017 sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Could not verify
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Msr1 mediates endocytosis of low-density lipoproteins (LDLs) and is involved in uptake and degradation of amyloid b (Ab)”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Inter-species Comparison Identifies Divergence in Metabolic and Immune Pathways
What the sources say
- Partly supportedcites Frenkel et al., 2013 sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Partly supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Abstract
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Also stated in: § Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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)”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Inter-species Comparison Identifies Divergence in Metabolic and Immune Pathways
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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 )”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Parenchymal Microglia Display a Conserved Morphological Pattern across Evolution
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“although microglia display similar dendritic morphology, the degree of ramification and cell size differs considerably in many of the species examined”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Parenchymal Microglia Display a Conserved Morphological Pattern across Evolution
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Microglia Express a Core Gene Program across Evolutionarily Distant Species
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets
Strength:hedged· not yet calibratedn = 6Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“we did not observe any detectable correlation between microglial and neuronal density (Figure S1E) or microglia/neuron ratio and microglia process length”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Parenchymal Microglia Display a Conserved Morphological Pattern across Evolution
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“most species contained some metacells that were identified as contaminating cells”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Characterization of the Microglia Gene Expression Program across Species
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Microglia Express a Core Gene Program across Evolutionarily Distant Species
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Macaque showed the highest similarity in expression patterns to human microglia, whereas laboratory mouse strains clustered together with wild mice and hamster”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Microglia Express a Core Gene Program across Evolutionarily Distant Species
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Another highly expressed and conserved lysosomal gene, Grn (or progranulin)”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Microglia Express a Core Gene Program across Evolutionarily Distant Species
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These subtypes are unrelated to sex differences and observed in both male and female microglia”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Conservation of P2Y12 and PU.1 across Microglia Evolution”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Additionally, enriched pathways included phagocytosis (Figure S6E)-more specifically, apoptotic cell clearance (Figure S6F; Table S6)-and the complement pathway”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Inter-species Comparison Identifies Divergence in Metabolic and Immune Pathways
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Strength:boosted· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: Human brain tissue from epilepsy surgery patients' healthy regions is representative of normal human microglia.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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).”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Rests on an assumption: Human brain tissue from epilepsy surgery patients' healthy regions is representative of normal human microglia.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Several other pathways were enriched in all tested mammals except mice; in particular, negative regulation of the ferroptosis pathway”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Inter-species Comparison Identifies Divergence in Metabolic and Immune Pathways
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > DISCUSSION
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“RNA-seq expression of representative highly conserved and highly expressed genes identified from clusters 1-3 (as shown in Figure 3A).”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- 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.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Characterization of Microglia Species-Specific and Disease-Associated Pathways”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Inter-species Comparison Identifies Divergence in Metabolic and Immune Pathways
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“This was not affected by the number of clusters or analysis method, and similar results were observed when applying principal-component analysis (PCA”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Microglia Express a Core Gene Program across Evolutionarily Distant Species
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“Laboratory mouse models have been described to show considerable differences regarding the immune system regulation”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets
What the sources say
- Not checked — no full text of the sourcecites Sellers et al., 2012 source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Single-Cell Transcriptomic Analysis Identifies Human Microglia Subsets
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Vsir (or VISTA) is an immune checkpoint gene that inhibits T cell response”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Microglia Express a Core Gene Program across Evolutionarily Distant Species
What the sources say
- Not matchedcites Xu et al., 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Not matched
In the paper
“has been implicated in frontotemporal dementia in humans and mice”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Microglia Express a Core Gene Program across Evolutionarily Distant Species
What the sources say
- Not checked — no full text of the sourcecites Baker et al., 2006 source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Characterization of the Microglia Gene Expression Program across Species
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Cells with high (> 32 UMI) expression of hemoglobin genes were discarded (e.g., Hbb, Hba1, Hba2).”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“All experiments were conducted in accordance with the institutional review board of the University of Freiburg Medical Center.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“reads with multiple mapping positions were excluded.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“developed for scRNA-seq to produce expression libraries with a minimum of three replicates per population.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Flowcytometry antibody table
What the sources say
- Not checked — no full text of the sourcecites Keren-Shaul et al., 2019 source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“ERCC genes were discarded.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“it cannot be excluded that patients' microglia are not accurately recapitulating the in situ states of healthy brains.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > DISCUSSION
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Cells with less than 500 total UMI were discarded as low-quality cells.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“we took great care and carefully calibrated sample acquisition and processing time (STAR Methods)”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > DISCUSSION
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“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).”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Absence of pathology in the sample was confirmed by histological analysis in the respective area by a neuropathologist.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. The quote only partly states this claim.
In the paper
“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”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > DISCUSSION
What the sources say
- Not checked — no full text of the sourcecites Fielder et al., 2017 source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Mitochondrial genes and ribosomal genes were removed from the list of features used for the Metacell analysis.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Human brain tissue was collected from healthy brain regions of individuals that underwent epilepsy surgery.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“For each organism, we used Metacell analysis to discard outlier cells.”
§ Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program > Additional information
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
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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Items 401–463 of 463
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C9ORF72 deficiency results in degeneration of the zebrafish retina in vivoPreprint
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“This may be due to a fundamental difference in microglial function between mammals and fish 67 .”
BackgroundRevising the ortholog conjecture in cross-species comparison of scRNA-seq dataPreprint
Song, Y., Arendt, D., Papatheodorou, I., & Brāzma, A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.21.600109 · Cited by 2
“Moreover, a comparable percentage of specific genes switched cell type (Supplementary figure 10).”
Zhou, Z., Wang, S., Zhang, D., Jiang, X., Li, J., Gu, Y., & Sun, H. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.23.056390
“They expressed microglial markers such as LAPTM5, C1QA, C1QB, and C1QC [37], as well as several microglia-specific pathways such as TREM2-TYROBP pathway [37-40] (Fig.”
BackgroundCommon Cell type Nomenclature for the mammalian brain: A systematic, extensible conventionPreprint
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) · arXiv (Cornell University) · doi:10.48550/arxiv.2006.05406
“…promote data exchange and synthesis across groups, (2) provide a controlled vocabulary and standard metadata, (3) allow for interaction between data and metadata, and (4) provide a baseline for expansion for ongoing data-driven cell typing efforts (Gillespie et al., 2019; Larson and Martone, 2009).”
BackgroundEditorial: Deciphering Phagocyte Functions Across Different Species
Feng, Y., Dionne, M., Stamatiades, E. G., et al. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.712929
Activation of Microglia and Macrophages in Neurodegenerative Diseases
Salamero‐Boix, A., Schulz, M., & Sevenich, L. (2021) · Neuromethods · doi:10.1007/978-1-0716-1712-0_2
Bulstrode, H. J. C. J., Girdler, G. C., Gracia, T., Aivazidis, A., Moutsopoulos, I., Young, A. M. H., Hancock, J., He, X., Ridley, K., Xu, Z., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4135719
Motor Cortex Plasticity During Functional Recovery Following Brain Damage
Higo, N. (2022) · Journal of Robotics and Mechatronics · doi:10.20965/jrm.2022.p0700
“The gene expression profile in the brains of macaque monkeys is closer to that in humans than in rodents [154, 155].”
BackgroundTimmerman, R. (2022) · Utrecht University Repository (Utrecht University) · doi:10.33540/1603
Can blood at adult age predict epigenetic changes of the brain during fetal stages?Preprint
Strawn, M., Safranski, T. J., & Behura, S. K. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.28.518197
Donovan, L. J., Bridges, C. M., Nippert, A. R., Wang, M., Wu, S., Forman, T. E., Haight, E. S., Huck, N. A., Bond, S. F., Jordan, C. E., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.20.521295
Regulation of fetal brain development in short versus long lived mice
Islam, M. (2022) · MOspace Institutional Repository (University of Missouri) · doi:10.32469/10355/94012
Verkhratsky, A., & Butt, A. M. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-821565-4.00003-1
Cellular and molecular heterogeneity of CNS macrophages in health and disease
Masuda, T. (2023) · Folia Pharmacologica Japonica · doi:10.1254/fpj.22152
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Secondary microglia formation center in the human fetal brainPreprint
Song, C., Chen, X., Ji, R., Liu, Y., Zhang, L., Gao, L., He, Q., Ma, L., & Saiyin, H. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.02.29.582659
“The density of microglia in the brain is modest among different species, while human microglia maintain homeostasis in the largest, most complex, and most intellectual brains on earth 52 .”
BackgroundUweru, J. O., Okojie, K. A., Trivedi, A., Benderoth, J., Thomas, L. S., Davidson, G. K., Cox, K., & Eyo, U. B. (2024) · Research Square · doi:10.21203/rs.3.rs-3997803/v1
Making sense of ‘genetic programs’: biomolecular Post–Newell production systems
Capraru, M. D. I. (2024) · Biology & Philosophy · doi:10.1007/s10539-024-09943-3
“…plasmablast genetic program (2022)”; “microglia express a conserved core gene program of 6 Page 2 of 12 orthologous genes from rodents to humans” (Geirsdottir et al. 2019); “[t]ran-scriptome analysis of mouse and human sinoatrial node cells” also “reveals a conserved genetic program” (Van Eif et…”
Singh, P., Kaushik, M., Gupta, S. K., & Chaudhary, A. (2024) · Journal of Applied Biology & Biotechnology · doi:10.7324/jabb.2024.176869
Microglia in multiple sclerosis
Borst, K., & Prinz, M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-823848-6.00006-3
Self-citationEvolutionary Aspects of Glial Cells
Calì, C., Ackermans, N. L., Hof, P. R., & Magistretti, P. J. (2024) · Oxford University Press eBooks · doi:10.1093/med/9780197676592.003.0003
Why resident microglial-like cells were missed in the peripheral nervous system
Schwartz, M. (2025) · Cell Research · doi:10.1038/s41422-025-01119-2 · Cited by 1
Walsh, J. T., Junker, I. P., Chen, Y., Chen, Y., Gifford, H., & Ding, Y. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.06.652433
“…to define molecular cell types, recent comparative studies have begun to shed light on species conservation and differences in cell types (Shami et al., 2020; Khrameeva et al., 2020; Schafer et al., 2022; Geirsdottir et al., 2019; Wei et al., 2022; Lee & Benton, 2023; Wang et al., 2024).”
Özata, G., Wise, R. M., Cardona‐Alberich, A., Mayeen, N. F., Müller, S. A., Lichtenthaler, S. F., Zecca, L., & Burbulla, L. F. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.04.668126
C1q-CD44 interactions regulate microglial phagocytosis, proliferation, and migration
Sakthivel, P. S., Villegas, A. J., Lakatos, A., Kaipa, M., Lopez, J. M., Ling, A., Elrachid, Z. H., Karam, J. D., & Anderson, A. J. (2026) · Journal of Neuroinflammation · doi:10.1186/s12974-026-03892-2 · Cited by 1
“Indeed, human versus mouse microglia show varying expression of neurodegenerative ‘risk genes’, including complement proteins C1q and C3a, highlighting the importance of using human iMG to investigate cellular mechanisms as employed here [4, 10].”
Evolution of glia in humans and other hominoids
Falcone, C. (2025) · Evolution of Nervous Systems · doi:10.1016/b978-0-443-27380-3.00065-8
scBrainScope: cross-species multidimensional brain atlas
Qin, S., Yang, Y., Wang, H., Li, M., Deng, Y., Chen, Y., Li, C., Peng, L., Xu, L., Qiu, X., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf1092
“Furthermore, Part7 highlights genes with high, conserved expression across seven representative species [ 71 ].”
Neurological aging and neurodegenerative disease in humans and great apes
Edler, M. K., Hearn, C. J., Guevara, E. E., Mhatre‐Winters, I., Varghese, M., Freire‐Cobo, C., Sherwood, C. C., Richardson, J. R., Raghanti, M. A., & Hof, P. R. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-27380-3.00074-9
Yaqubi, M., Groh, A. M. R., Dorion, M.-F., Afanasiev, E., Luo, J. X. X., Hashemi, H., Sinha, S., Kieran, N. W., Blain, M., Cui, Q.-L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26593031
Nuesslein‐Hildesheim, B., Ferrero, E., Schmid, C., Huck, C., Smith, P. A., Tisserand, S., Rubert, J., Bornancin, F., Eichlisberger, D., & Cenni, B. (2023) · Figshare · doi:10.6084/m9.figshare.24038698
Sonn, I., Honda‐Ozaki, F., Yoshimatsu, S., Morimoto, S., Watanabe, H., & Okano, H. (2022) · Figshare · doi:10.6084/m9.figshare.20208350
Additional file 1 of Morphotype-specific calcium signaling in human microglia
Nevelchuk, S., Brawek, B., Schwarz, N., Valiente‐Gabioud, A. A., Wuttke, T. V., Kovalchuk, Y., Koch, H., Höllig, A., Steiner, F., Figarella, K., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26322707
Yaqubi, M., Groh, A. M. R., Dorion, M.-F., Afanasiev, E., Luo, J. X. X., Hashemi, H., Sinha, S., Kieran, N. W., Blain, M., Cui, Q.-L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26593022
Yaqubi, M., Groh, A. M. R., Dorion, M.-F., Afanasiev, E., Luo, J. X. X., Hashemi, H., Sinha, S., Kieran, N. W., Blain, M., Cui, Q.-L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26593019
Yaqubi, M., Groh, A. M. R., Dorion, M.-F., Afanasiev, E., Luo, J. X. X., Hashemi, H., Sinha, S., Kieran, N. W., Blain, M., Cui, Q.-L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26593028
Yaqubi, M., Groh, A. M. R., Dorion, M.-F., Afanasiev, E., Luo, J. X. X., Hashemi, H., Sinha, S., Kieran, N. W., Blain, M., Cui, Q.-L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26593025
Primitive macrophages take a road less traveled
Axsom, J., & Bennett, F. C. (2026) · Immunity · doi:10.1016/j.immuni.2025.12.014
Kamzina, A. S., Leinenweber, K. E., Ecca, F., Aldabergenova, A., & Huentelman, M. J. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.25.706648
Lester, B. A., Kelly, C., Henry, S. N., Elias, I. P., Cevenini, S. E., Hendrickson, M. R., Park, T., Ashley, T. D., Beltz, J. M., Milner, J., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.22.713463
“Because microglial functional states vary across species in a sexually dimorphic manner (Hanamsagar et al., 2017; Geirsdottir et al., 2019), we employed such a pipeline to preclude feature-selection bias and make apt comparisons to other well-studied species across neurodevelopmental paradigms.”
Wang, J., & Zhou, H. (2026) · Neuropeptides · doi:10.1016/j.npep.2026.102612 · Cited by 1
Subcellular orchestration of microglial aging
Schaible, P., & Erny, D. (2026) · Nature Aging · doi:10.1038/s43587-026-01109-y
Self-citationMechanisms controlling microglial colonization of the forebrain
Bridlance, C. (2023) · theses.fr (ABES) · doi:10.70675/5879aa36z8649z48f9zb359zf349ce3cb429
Mesaoudi, A. E. (2024) · theses.fr (ABES) · doi:10.70675/f339157ez1688z4acaz87fcz0ecae062a7cc
Identification of secondary microglial formation centers in the human fetal brain
Song, C., Chen, X., Ji, R., Liu, Y., Han, Y., Ye, F., Zhang, L., Li, L., Gao, L., He, Q., et al. (2026) · The Journal of Experimental Medicine · doi:10.1084/jem.20251801
“…uniqueness of the SMFC needs to be addressed by investigating the SMFC or SMFC-like structures across different species using our approach, despite no identical structures being reported in lab species (Barry-Carroll et al., 2023; Geirsdottir et al., 2019; Lawrence et al., 2024; Yu et al., 2024).”
Cao, L., Zhao, W., Zhang, Y., Hu, C., 杨磊落, Yong, V. W., & Xue, M. (2026) · Antioxidants and Redox Signaling · doi:10.1177/15230864261455615
“Consequently, this species-speci fi c bias must be factored into any interpretation of why previous metabolic and antioxidant interventions failed in clinical trials (Ergorul and Levin, 2013; Geirsdottir et al., 2019; Poulen and Perrin, 2024; Vaes et al., 2019).”
Olschewski, D. N., Koenig, A. M., Nerone, H. M., Groß, E., Šarić, T., Vay, S. U., Schroeter, M., Fink, G. R., & Rueger, M. A. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1785992 · Cited by 1
“Species-specific differences include divergent transcriptional programs, limited genetic conservation, and distinct reactions to neurodegenerative conditions such as Alzheimer’s disease (Zerbino et al., 2018; Geirsdottir et al., 2019; Zhou et al., 2020).”
Unify learns cellular evolution with universal multimodal embeddings
Zhong, H., Han, W., Cui, G., Gómez-Cabrero, D., Tegner, J. N., Gao, X., & Aranda, M. (2026) · Nature Communications · doi:10.1038/s41467-026-76230-y · Cited by 2
Shearer, I. K., Antonson, A. M., Steenwinckel, J. V., Gressèns, P., Tolcos, M., Walker, D., Spencer, S. J., Johnson, R., & Fleiss, B. (2026) · Pediatric Research · doi:10.1038/s41390-026-05355-z
Şimşekçi, U., & Cesaretli, Y. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1882211
“…transcriptional features that only partially overlap with those in mouse models, and cross-species analyses reveal both conserved myeloid programs and substantial divergence in primate/human microglial signatures (Galatro et al., 2017; Masuda et al., 2019; Geirsdottir et al., 2019).”
Human Stem Cell-Derived Models of the Alzheimer’s Disease Neuroimmune System
Summers, R., Quang, D., & Johnson, N. R. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27167360 · Cited by 1
“For example, humans possess larger and more complex astrocytes with distinct responses to certain stimuli [79,80], microglia with unique patterns of gene expression [81], subtype heterogeneity, and phagocytic capacity [82], and OPCs with distinct metabolism when compared to murine cells [83].”
Liu, C., Liu, Q., Jing, W., Liu, L., Wei, L., Li, X., & Du, X. (2026) · Translational Stroke Research · doi:10.1007/s12975-026-01492-z
“…studies have identified some conserved homeostatic gene-expression features and disease-associated response programs in mouse and human microglia, but regional heterogeneity, disease-associated subpopulation composition, and activation trajectories are not identical between species [110, 111 ].”
The neuroscience of Alzheimer’s disease
Spires‐Jones, T. L. (2026) · Oxford University Press eBooks · doi:10.1093/9780198995296.003.0003
Arif, S., Luo, Q., Hao, X., Zheng, R., Sun, N., Quan, Z., Ni, J., Qiu, Y., & Qing, H. (2026) · Research Square · doi:10.21203/rs.3.rs-10721231/v1
Hao, Y., Zhou, X., Zhao, Q., She, H., Fang, Y., Ma, L., Zou, Z., Zhai, W., Ericson, P. G. P., Lei, F., et al. (2026) · The Innovation Life · doi:10.59717/j.xinn-life.2026.100251
Zhang, Q., Liu, J.-X., Lu, S., Huang-fu, F.-Y., Zhao, L.-N., He, S., Zhu, Y., Fan, G., & Xiao, G. (2026) · Phytomedicine · doi:10.1016/j.phymed.2026.158805
Human microglia clear intraneuronal α-synuclein aggregates by GPNMB-mediated trogocytosis
Chueh, H.-J., Katsikoudi, A., Aragón-González, A., Lam, C. L., Tamon, L., Jainarayanan, A., Agarwal, D., Cowley, S. A., Sims, D., & Tofaris, G. K. (2026) · Science Translational Medicine · doi:10.1126/scitranslmed.adz9258
Microglia and immune signaling as architects of the brain
Kim, A., Solek, C. M., & Ruthazer, E. S. (2026) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2026.1936860
The microglial lineage: from molecular states to context-dependent functions
Li, C., Wu, Z., Xiang, X., & Li, H. (2026) · Cell Insight · doi:10.1016/j.cellin.2026.100378
Metadata
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-14, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-14 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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