The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Environment Drives Selection and Function of Enhancers Controlling Tissue-Specific Macrophage Identities
Open accessAbstract
Macrophages reside in essentially all tissues of the body and play key roles in innate and adaptive immune responses. Distinct populations of tissue macrophages also acquire context-specific functions that are important for normal tissue homeostasis. To investigate mechanisms responsible for tissue-specific functions, we analyzed the transcriptomes and enhancer landscapes of brain microglia and resident macrophages of the peritoneal cavity. In addition, we exploited natural genetic variation as a genome-wide "mutagenesis" strategy to identify DNA recognition motifs for transcription factors that promote common or subset-specific binding of the macrophage lineage-determining factor PU.1. We find that distinct tissue environments drive divergent programs of gene expression by differentially activating a common enhancer repertoire and by inducing the expression of divergent secondary transcription factors that collaborate with PU.1 to establish tissue-specific enhancers. These findings provide insights into molecular mechanisms by which tissue environment influences macrophage phenotypes that are likely to be broadly applicable to other cell types.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“SPI1, also known as PU.1, binds SMAD3 to establish a homeostatic gene regulatory landscape in microglia 18 .”
From APOE4 impairs the microglial response in Alzheimer’s disease by inducing TGFβ-mediated checkpoints (2023) · cites this paper as [18]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Transcriptomic analysis of mouse microglia transferred to a tissue culture environment for 7 days documented significant changes in expression of hundreds of genes, with a preferential reduction in expression of microglia-specific genes (25).”
From An environment-dependent transcriptional network specifies human microglia identity (2017) · cites this paper as [25]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Microglial cells are dynamic and respond quickly to changes in their local environment15.”
From Mouse microglia express unique miRNA-mRNA networks to facilitate age-specific functions in the developing central nervous system (2023) · cites this paper as [15]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Most signature genes were downregulated by cells in culture (Fig. 6F), consistent with prior reports (Butovsky et al., 2014; Gosselin et al., 2014).”
From Diverse Requirements for Microglial Survival, Specification, and Function Revealed by Defined-Medium Cultures (2017) · cites this paper as Gosselin et al., 2014
The cited source says what the claim attributes to it.
In the citing paper
“Our findings that microglia rapidly de-differentiate in culture reecho and expand upon previous reports (Butovsky et al., 2014; Gosselin et al., 2014).”
From Diverse Requirements for Microglial Survival, Specification, and Function Revealed by Defined-Medium Cultures (2017) · cites this paper as Gosselin et al., 2014
The cited source says what the claim attributes to it.
In the citing paper
“Given the distinct genetic and transcriptomic profile of microglia and macrophages identified via high throughput sequencing technology (69–71), the two cell types likely maintain different roles in the injured central nervous system (CNS) (72–74).”
From The Inflammatory Continuum of Traumatic Brain Injury and Alzheimer’s Disease (2018) · cites this paper as [69]
The cited source says what the claim attributes to it.
In the citing paper
“Microglia also express hundreds of genes at higher levels than other macrophage subsets (24–26) that may be influenced by factors present in the CNS microenvironment (25, 27), suggesting mechanisms by which the brain environment influences the activity and functions of one of its primary support cells.”
From An environment-dependent transcriptional network specifies human microglia identity (2017) · cites this paper as [25]
The cited source says what the claim attributes to it.
In the citing paper
“Common SEs were associated with genes that are known to play essential roles in the development and function of virtually all macrophages whereas mouse microglia-specific SEs were associated with genes known to play restricted or selected roles in this cell type (25).”
From An environment-dependent transcriptional network specifies human microglia identity (2017) · cites this paper as [25]
The cited source says what the claim attributes to it.
In the citing paper
“Microglia also express hundreds of genes at higher levels than other macrophage subsets (24–26) that may be influenced by factors present in the CNS microenvironment (25, 27), suggesting mechanisms by which the brain environment influences the activity and functions of one of its primary support cells.”
From An environment-dependent transcriptional network specifies human microglia identity (2017) · cites this paper as [25]
In the citing paper
“During normal CNS function, microglia have a “resting,” or homeostatic, transcriptome profile that reflects a surveilling activity (36–41) (Figure 1).”
From Microglia Function in the Central Nervous System During Health and Neurodegeneration (2017) · cites this paper as [38]
In the citing paper
“Analysis of the microglia transcriptome in comparison with that of other tissue macrophages has revealed a strong influence of TGF-β signaling, which culminates in the activation of SMAD proteins that induce transcription of specific target genes, including the purinergic receptor P2Y12 (37, 38, 43).”
From Microglia Function in the Central Nervous System During Health and Neurodegeneration (2017) · cites this paper as [38]
In the citing paper
“Motif analysis of PU.1 binding sites has shown enrichment for consensus sequences for mothers against decapentaplegic homologue 3 (SMAD3), myocyte-specific enhancer factor 2A (MEF2A) and transcription factor MafB (MAFB), suggesting that these transcription factors cooperate with PU.1 to establish microglial-specific enhancer profiles75.”
From Microglial signatures and their role in health and disease (2018) · cites this paper as [75]
In the citing paper
“These include the SMAD proteins, which are TGFβ1-dependent and contribute to establishing transcription of specific microglial genes75.”
From Microglial signatures and their role in health and disease (2018) · cites this paper as [75]
In the citing paper
“References 75 and 76 provide evidence that the tissue environment is a major determinant of resident macrophage gene expression and that PU.1 binds SMAD3 to establish a microglial-specific enhancer profile.”
From Microglial signatures and their role in health and disease (2018) · cites this paper as [75]
In the citing paper
“References 75 and 76 provide evidence that the tissue environment is a major determinant of resident macrophage gene expression and that PU.1 binds SMAD3 to establish a microglial-specific enhancer profile.”
From Microglial signatures and their role in health and disease (2018) · cites this paper as [75]
In the citing paper
“Furthermore, four binding motifs Mafb, Stat3, Usf1, and Smad2 were preferentially associated with PU.1 binding specifically in microglia in mice, suggesting these transcription factors are microglia-specific co-regulators that cooperate with PU.1 for establishing microglia-specific gene enhancer profiles [5].”
From Transcriptional and Epigenetic Regulation of Microglia in Health and Disease (2019) · cites this paper as [5]
In the citing paper
“suggesting these transcription factors are microglia-specific co-regulators that cooperate with PU.1 for establishing microglia-specific gene enhancer profiles [5].”
From Transcriptional and Epigenetic Regulation of Microglia in Health and Disease (2019) · cites this paper as [5]
In the citing paper
“Microglial transcriptomes are tightly regulated by multiple key transcription factors such as Sall1, Spi1, Mafb, and Mef2c [5, 15].”
From Transcriptional and Epigenetic Regulation of Microglia in Health and Disease (2019) · cites this paper as [5]
In the citing paper
“Microglia development is largely controlled by the transcription factors IRF8 and PU.1.”
From Transcriptional and Epigenetic Regulation of Microglia in Health and Disease (2019) · cites this paper as [5]
In the citing paper
“Microglial dysfunction contributes to the pathogenesis of neurodegenerative disorders including Alzheimer’s disease (AD) and neurodevelopmental disorders including autism spectrum disorder and schizophrenia [5-7].”
From Transcriptional and Epigenetic Regulation of Microglia in Health and Disease (2019) · cites this paper as [5]
In the citing paper
“In addition to FACS and immunohistochemical approaches, assay for transposase accessible chromatin sequencing (ATAC-seq) can evaluate transcriptional networks that control microglial signature at an epigenetic level determining the chromatin accessibility landscape in microglia [5, 22, 23].”
From Transcriptional and Epigenetic Regulation of Microglia in Health and Disease (2019) · cites this paper as [5]
In the citing paper
“The microglia-enriched PU.1 binding regions were also enriched with Smad, Mef2, and Ctcfl family-binding motifs, identifying interactions between the transcription factors [5].”
From Transcriptional and Epigenetic Regulation of Microglia in Health and Disease (2019) · cites this paper as [5]
In the citing paper
“Microglia culture models have been developed to recapitulate microglia in vivo, but have multiple limitations.”
From Transcriptional and Epigenetic Regulation of Microglia in Health and Disease (2019) · cites this paper as [5]
In the citing paper
“Microglia lose their distinct expression patterns once cultured in vitro [5, 22].”
From Transcriptional and Epigenetic Regulation of Microglia in Health and Disease (2019) · cites this paper as [5]
In the citing paper
“These data implicate these factors in modulating promoter/enhancer regions that enables appropriate responses to stimuli previously shown for macrophages”
From iPSC-derived human microglia-like cells to study neurological diseases (2017) · cites this paper as Gosselin et al., 2014
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108
Heinz, S., Benner, C., Spann, N., Bertolino, E., Lin, Y. C., Laslo, P., Cheng, J. X., Murre, C., Singh, H., & Glass, C. K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.05.004 · Cited by 13,382
Self-citationMacrophage biology in development, homeostasis and disease
Wynn, T. A., Chawla, A., & Pollard, J. W. (2013) · Nature · doi:10.1038/nature12034 · Cited by 4,684
Histone H3K27ac separates active from poised enhancers and predicts developmental state
Creyghton, M. P., Cheng, A. W., Welstead, G. G., Kooistra, T., Carey, B. W., Steine, E. J., Hanna, J., Lodato, M. A., Frampton, G. M., Sharp, P. A., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016071107 · Cited by 4,302
Synaptic Pruning by Microglia Is Necessary for Normal Brain Development
Paolicelli, R. C., Bolasco, G., Pagani, F., Maggi, L., Scianni, M., Panzanelli, P., Giustetto, M., Ferreira, T. A., Guiducci, E., Dumas, L., et al. (2011) · Science · doi:10.1126/science.1202529 · Cited by 4,244
Master Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genes
Whyte, W. A., Orlando, D. A., Hnisz, D., Abraham, B. J., Lin, C. Y., Kagey, M. H., Rahl, P. B., Lee, T. I., & Young, R. A. (2013) · Cell · doi:10.1016/j.cell.2013.03.035 · Cited by 4,143
Super-enhancers in the control of cell identity and disease
Hnisz, D., Abraham, B. J., Lee, T. I., Lau, A., Saint-André, V., Sigova, A. A., Hoke, H. A., & Young, R. A. (2013) · Cell · doi:10.1016/j.cell.2013.09.053 · Cited by 3,662
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–126 of 126
Ultrastructural evidence of microglial heterogeneity in Alzheimer’s disease amyloid pathology
El Hajj, H., Savage, J. C., Bisht, K., Parent, M., Vallières, L., Rivest, S., & Tremblay, M.-È. (2019) · Journal of Neuroinflammation · doi:10.1186/s12974-019-1473-9 · Cited by 119
Microglial Priming as Trained Immunity in the Brain
Haley, M. J., Brough, D., Quintin, J., & Allan, S. M. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2017.12.039 · Cited by 104
Cx3cr1- deficient microglia exhibit a premature aging transcriptome
Gyoneva, S., Hosur, R., Gosselin, D., Zhang, B., Ouyang, Z., Cotleur, A. C., Peterson, M., Allaire, N., Challa, R., Cullen, P., et al. (2019) · Life Science Alliance · doi:10.26508/lsa.201900453 · Cited by 103
“ChIP-seq library preparation, sequencing, and data analysis ChIP-seq libraries were prepared from recovered DNA by blunting, A-tailing, and adapter ligation using barcoded adapters (NextFlex; Bioo Scienti fi c) as previously described (Heinz et al, 2010; Gosselin et al, 2014).”
Self-citationSubramanian, S., Busch, C. J.-L., Molawi, K., Geirsdottir, L., Maurizio, J., Vargas Aguilar, S., Belahbib, H., Gimenez, G., Yuda, R. A. A., Burkon, M., et al. (2022) · Nature Immunology · doi:10.1038/s41590-022-01146-w · Cited by 103
Bhlhe40 and Bhlhe41 Transcription Factors Regulate Alveolar Macrophage Self‐renewal and Identity
Rauschmeier, R., Gustafsson, C., Reinhardt, A., A‐Gonzalez, N., Tortola, L., Cansever, D., Subramanian, S., Taneja, R., Rossner, M. J., Sieweke, M. H., et al. (2019) · The EMBO Journal · doi:10.15252/embj.2018101233 · Cited by 102
Cuevas, V. D., Anta, L., Samaniego, R., Orta-Zavalza, E., Vladimir de la Rosa, J., Baujat, G., Domínguez-Soto, Á., Sánchez-Mateos, P., Escribese, M. M., Castrillo, A., et al. (2017) · The Journal of Immunology · doi:10.4049/jimmunol.1601667 · Cited by 82
Daniel, B., Nagy, G., Horvath, A., Czimmerer, Z., Cuaranta-Monroy, I., Poliska, S., Hays, T. T., Sauer, S., Francois-Deleuze, J., & Nagy, L. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky157 · Cited by 73
Vogel Ciernia, A., Careaga, M., LaSalle, J. M., & Ashwood, P. (2018) · Glia · doi:10.1002/glia.23261 · Cited by 69
Trem2 deficiency differentially affects phenotype and transcriptome of human APOE3 and APOE4 mice
Fitz, N. F., Wolfe, C. M., Playso, B. E., Biedrzycki, R. J., Lu, Y., Nam, K. N., Lefterov, I., & Koldamova, R. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00394-4 · Cited by 68
Ferrer, I. R., West, H. C., Henderson, S., Ushakov, D. S., Santos e Sousa, P., Strid, J., Chakraverty, R., Yates, A. J., & Bennett, C. L. (2019) · Science Immunology · doi:10.1126/sciimmunol.aax8704 · Cited by 61
Tissue-Resident Macrophages in Fungal Infections
Xu, S., & Shinohara, M. L. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01798 · Cited by 57
Podleśny-Drabiniok, A., Novikova, G., Liu, Y., Dunst, J., Temizer, R., Giannarelli, C., Marro, S., Kreslavsky, T., Marcora, E., & Goate, A. M. (2024) · Nature Communications · doi:10.1038/s41467-024-46315-7 · Cited by 52
Mechanisms of myeloid cell entry to the healthy and diseased central nervous system
Amann, L., Masuda, T., & Prinz, M. (2023) · Nature Immunology · doi:10.1038/s41590-022-01415-8 · Cited by 50
Lopez‐Atalaya, J. P., Askew, K. E., Sierra, A., & Gomez‐Nicola, D. (2018) · Developmental Neurobiology · doi:10.1002/dneu.22545 · Cited by 49
Microglia in Health and Diseases: Integrative Hubs of the Central Nervous System (CNS)
Sierra, A., Miron, V. E., Paolicelli, R. C., & Ransohoff, R. M. (2024) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a041366 · Cited by 47
Jones, R. E., Andrews, R., Holmans, P., Hill, M., & Taylor, P. R. (2021) · Scientific Reports · doi:10.1038/s41598-021-94324-z · Cited by 39
Regulation of microglial survival and proliferation in health and diseases
Ulland, T. K., Wang, Y., & Colonna, M. (2015) · Seminars in Immunology · doi:10.1016/j.smim.2016.03.011 · Cited by 43
Immunological memory in rheumatic inflammation - a roadblock to tolerance induction
Maschmeyer, P., Chang, H.-D., Cheng, Q., Mashreghi, M.-F., Hiepe, F., Alexander, T., & Radbruch, A. (2021) · Nature Reviews Rheumatology · doi:10.1038/s41584-021-00601-6 · Cited by 40
Teter, O. M., McQuade, A., Hagan, V., Liang, W., Dräger, N. M., Sattler, S. M., Holmes, B. B., Castillo, V. C., Papakis, V., Leng, K., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-02997-z · Cited by 38
Loss of microglial EED impairs synapse density, learning, and memory
Wang, Y.-Y., Deng, Y.-S., Dai, S.-K., Mi, T.-W., Li, R.-Y., Liu, P.-P., Liu, C., He, B.-D., He, X.-C., Du, H.-Z., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01576-w · Cited by 32
Novikova, G., Kapoor, M., TCW, J., Abud, E. M., Efthymiou, A. G., Cheng, H., Fullard, J. F., Bendl, J., Roussos, P., Poon, W. W., et al. (2019) · doi:10.1101/694281 · Cited by 27
Therapeutic Idol reduction ameliorates amyloidosis and improves cognitive function in APP/PS1 mice
Gao, J., Littman, R., Diamante, G., Xiao, X., Ahn, I. S., Yang, X., Cole, T. A., & Tontonoz, P. (2020) · Molecular and Cellular Biology · doi:10.1128/mcb.00518-19 · Cited by 15
Transcription factors that define the epigenome structures and transcriptomes in microglia
Saeki, K., & Ozato, K. (2025) · Experimental Hematology · doi:10.1016/j.exphem.2025.104814 · Cited by 11
Walsh, A. D., Stone, S., Freytag, S., Aprico, A., Kilpatrick, T. J., Ansell, B. R. E., & Binder, M. D. (2023) · Communications Biology · doi:10.1038/s42003-023-04926-8 · Cited by 9
Determinants, mechanisms, and functional outcomes of myeloid cell diversity in cancer
Caronni, N., Montaldo, E., Mezzanzanica, L., Cilenti, F., Genua, M., & Ostuni, R. (2021) · Immunological Reviews · doi:10.1111/imr.12944 · Cited by 6
Microglial states revisited: from homeostasis to disease
Eggen, B. J. L., & Kooistra, S. M. (2026) · Nature Reviews Neuroscience · doi:10.1038/s41583-026-01066-w · Cited by 6
Metadata
- Authors
- Gosselin, D., Link, V. M., Romanoski, C. E., Fonseca, G. J., Eichenfield, D. Z., Spann, N. J., Stender, J. D., Chun, H. B., Garner, H., Geissmann, F., & Glass, C. K.
- Affiliations
- University of California San Diego (US)
- King's College London (GB)
- Corresponding author
- Glass, Christopher K.
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2014-12
- Volume
- 159
- Issue
- 6
- Pages
- 1327-1340
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4364385
- OpenAlex
- W2163774748
- Cited by
- 1,307
- References
- 56
- Citations by year
- 2026: 77 · 2025: 84 · 2024: 91 · 2023: 92 · 2022: 106 · 2021: 133 · 2020: 145 · 2019: 117 · 2018: 120 · 2017: 129 · 2016: 120 · 2015: 91
- FWCI
- 46.44
- Type
- journal article
- Language
- en
- Update notices
- erratum (2015-01-15)
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Funders
- American Heart Association
- Wellcome Trust (WT101853MA, 101853)
- National Institutes of Health
- University of California, San Diego
- Canadian Institutes of Health Research
- Biotechnology and Biological Sciences Research Council (1168004)
- National Heart, Lung, and Blood Institute (K99HL123485, 1K99HL12348, P01HL088093)
- National Cancer Institute (R01CA173903, R01CA052599, P30CA023100, CA17390)
- National Institute of General Medical Sciences (GM 085764, P50GM085764, T32GM007198)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK063491, DK091183, P01DK074868, P30DK063491, R01DK091183)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- tissue-specific macrophages, enhancers, microglia, peritoneal macrophages, PU.1, transcription factor binding motifs, natural genetic variation, tissue environment, gene expression regulation
- MeSH terms
- Animals, Enhancer Elements, Genetic, Macrophages, Male, Mice, Inbred C57BL, Mice, Inbred Strains, Transcription Factors, Genetic Variation, Mice, Inbred NOD, Histone Code
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review