Cited by 74Neuroinflammation and Neurodegeneration MechanismsGenomics and Chromatin DynamicsMultiple Sclerosis Research Studies

A comprehensive profile of ChIP-Seq-based PU.1/Spi1 target genes in microglia.

Open access
Satoh, Jun-ichi, Asahina, Naohiro, Kitano, Shouta, Kino, Yoshihiro·2014·Gene Regulation and Systems Biology

Abstract

Microglia are resident mononuclear phagocytes that play a principal role in the maintenance of normal tissue homeostasis in the central nervous system (CNS). Microglia, rapidly activated in response to proinflammatory stimuli, are accumulated in brain lesions of neurodegenerative diseases, such as Alzheimer's disease and Parkinson's disease. The E26 transformation-specific (ETS) family transcription factor PU.1/Spi1 acts as a master regulator of myeloid and lymphoid development. PU.1-deficient mice show a complete loss of microglia, indicating that PU.1 plays a pivotal role in microgliogenesis. However, the comprehensive profile of PU.1/Spi1 target genes in microglia remains unknown. By analyzing a chromatin immunoprecipitation followed by deep sequencing (ChIP-Seq) dataset numbered SRP036026 with the Strand NGS program, we identified 5,264 Spi1 target protein-coding genes in BV2 mouse microglial cells. They included Spi1, Irf8, Runx1, Csf1r, Csf1, Il34, Aif1 ( Iba1), Cx3cr1, Trem2, and Tyrobp. By motif analysis, we found that the PU-box consensus sequences were accumulated in the genomic regions surrounding ChIP-Seq peaks. By using pathway analysis tools of bioinformatics, we found that ChIP-Seq-based Spi1 target genes show a significant relationship with diverse pathways essential for normal function of monocytes/macrophages, such as endocytosis, Fc receptor-mediated phagocytosis, and lysosomal degradation. These results suggest that PU.1/Spi1 plays a crucial role in regulation of the genes relevant to specialized functions of microglia. Therefore, aberrant regulation of PU.1 target genes might contribute to the development of neurodegenerative diseases with accumulation of activated microglia.

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Crossref · 10.4137/grsb.s19711

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  • Seven genes (Syk, Lyn, Stat1, Entpd1, Rgs10, Fcgr1, and Fcgr3) are directly targeted by Spi1 and may be involved in phagocytosis.

    “Based on the “Immune response_Phagocytosis” components and the Spi1 chromatin immunoprecipitation sequencing (ChIP-Seq) data38,39, we selected seven genes (Syk, Lyn, Stat1, Entpd1, Rgs10, Fcgr1, and Fcgr3) that are directly targeted by Spi1 and may be involved in phagocytosis.”

    From Deletion of SPI1 in microglia exacerbates amyloid pathology by impairing microglial response in Alzheimer’s disease models (2026) · cites this paper as [39]

    The Results section on target-gene identification names Syk as a ChIP-Seq-based Spi1 target, and the molecular-networks Results section links the broader target set to phagocytosis pathways (page numbers unavailable). Our copy does not identify Lyn, Stat1, Entpd1, Rgs10, Fcgr1, or Fcgr3 as Spi1 targets or link each of the seven genes to phagocytosis. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • SPI1/PU.1 is a master regulator of microglial development and homeostasis and of several Alzheimer's disease genetic risk genes, and small changes in PU.1 expression can significantly affect cell function.

    “SPI1/PU.1 is a master regulator of microglial development and homeostasis and the expression of several AD genetic risk genes, e.g. ABCA7, CD33, MS4A4A, MS4A6A, TREM2, APOE and CLU, and small changes in PU.1 expression can significantly affect cell function (Huang et al., 2017; Satoh et al., 2014).”

    From Alzheimer's-associated PU.1 expression levels regulate microglial inflammatory response (2021) · cites this paper as Satoh et al., 2014

    The Introduction and Discussion (pages unavailable) support PU.1’s importance for microglial development and function: PU.1-deficient mice lack microglia, and PU.1 knockdown reduces human microglial viability and phagocytosis. The paper identifies Trem2 as a Spi1 target, but does not establish regulation of the other listed Alzheimer’s disease risk genes or show that small changes in PU.1 expression significantly affect cell function. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • PU.1 influences immune responses by regulating the expression of Aif1, Cx3cr1, Trem2, and Tyrobp.

    “In addition, PU.1 influences immune responses by regulating the expression of allograft inflammatory factor 1 (Aif1, also known as ionized calcium‐binding adapter molecule 1, Iba1), C‐X3‐C motif chemokine receptor 1 (Cx3cr1), triggering receptor expressed on myeloid cells 2 (Trem2), and TYRO protein tyrosine kinase binding protein (Tyrobp) [32, 36].”

    From Targeting Microglial Transcriptional Reprogramming as a Therapy Strategy for Alzheimer's Disease (2026) · cites this paper as [32]

    The Results (page not specified) identify Aif1, Cx3cr1, Trem2, and Tyrobp as ChIP-Seq-based Spi1 targets in mouse microglial cells. The Discussion cautions that ChIP-Seq binding does not always correspond to biological activity. The paper therefore supports their identification as potential targets, but does not establish that PU.1 regulates expression of all four genes to influence immune responses. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • PU.1 induces the transcription of several surface receptors, such as ITGAM, VCAM1, TREM2, and TYROBP, thereby enhancing microglial phagocytic capacity for Aβ clearance.

    “As shown in Figure 1, previous studies showed that PU.1 induces the transcription of several surface receptors, such as Integrin subunit alpha M (ITGAM, also known as CD11b), vascular cell adhesion molecule 1 (VCAM1, also known as CD106), TREM2, and TYROBP [32, 55], thereby enhancing microglial phagocytic capacity for Aβ clearance [56, 57].”

    From Targeting Microglial Transcriptional Reprogramming as a Therapy Strategy for Alzheimer's Disease (2026) · cites this paper as [32]

    The Results (Identification of 5,264 ChIP-Seq-based Spi1 target genes in mouse microglia; page unavailable) identify Trem2 and Tyrobp as Spi1 targets. The retrieved passages do not identify ITGAM or VCAM1 as targets, and identifying ChIP-Seq targets does not itself demonstrate that PU.1 induces their transcription. The Aβ-clearance clause is attached to different citations in the citing sentence. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • PU.1, IRF8, and BHLHE40/41 regulate multiple downstream targets that orchestrate microglial immune response functions, including phagocytosis, cytokine production, and inflammatory signaling.

    “PU.1, IRF8, and BHLHE40/41 regulates multiple downstream targets that orchestrate microglial immune response functions, including phagocytosis, cytokine production, and inflammatory signaling”

    From Targeting Microglial Transcriptional Reprogramming as a Therapy Strategy for Alzheimer's Disease (2026) · cites this paper as [32]

    The Results (pages not specified in our copy) identify numerous PU.1/Spi1 targets in mouse microglial cells, including Irf8, and link those targets to phagocytosis and signaling pathways. The Introduction also describes reduced phagocytic activity in IRF8-deficient microglia. The paper does not establish that IRF8 or BHLHE40/41 regulate the downstream targets responsible for the listed functions, nor does it link those factors to cytokine production. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

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References 46 · Cited by 74

Research works printed but not linked: 34

  1. [2]Ginhoux F Greter M Leboeuf M Fate mapping analysis reveals that adult microglia derive from primitive macrophages Science 2010 330 6005 841 5 20966214 PMC3719181
  2. [4]Perry VH Nicoll JA Holmes C Microglia in neurodegenerative disease Nat Rev Neurol 2010 6 4 193 201 20234358
  3. [6]Tahara K Kim HD Jin JJ Maxwell JA Li L Fukuchi K Role of toll-like receptor signalling in Ab uptake and clearance Brain 2006 129 pt 11 3006 19 16984903 PMC2445613
  4. [8]Béraud D Twomey M Bloom B α-Synuclein alters toll-like receptor expression Front Neurosci 2011 5 80 21747756 PMC3128248
  5. [9]Crotti A Benner C Kerman BE Mutant Huntingtin promotes autonomous microglia activation via myeloid lineage-determining factors Nat Neurosci 2014 17 4 513 21 24584051 PMC4113004
  6. [10]Turkistany SA DeKoter RP The transcription factor PU.1 is a critical regulator of cellular communication in the immune system Arch Immunol Ther Exp (Warsz) 2011 59 6 431 40 21972017
  7. [11]Pham TH Minderjahn J Schmidl C Mechanisms of in vivo binding site selection of the hematopoietic master transcription factor PU.1 Nucleic Acids Res 2013 41 13 6391 402 23658224 PMC3711439
  8. [12]McKercher SR Torbett BE Anderson KL Targeted disruption of the PU.1 gene results in multiple hematopoietic abnormalities EMBO J 1996 15 20 5647 58 8896458 PMC452309
  9. [13]Beers DR Henkel JS Xiao Q Wild-type microglia extend survival in PU.1 knockout mice with familial amyotrophic lateral sclerosis Proc Natl Acad Sci U S A 2006 103 43 16021 6 17043238 PMC1613228
  10. [16]Horiuchi M Wakayama K Itoh A Interferon regulatory factor 8/interferon consensus sequence binding protein is a critical transcription factor for the physiological phenotype of microglia J Neuroinflammation 2012 9 227 23020843 PMC3546867
  11. [17]Zusso M Methot L Lo R Greenhalgh AD David S Stifani S Regulation of postnatal forebrain amoeboid microglial cell proliferation and development by the transcription factor Runx1 J Neurosci 2012 32 33 11285 98 22895712 PMC6621177
  12. [18]Park PJ ChIP-seq: advantages and challenges of a maturing technology Nat Rev Genet 2009 10 10 669 80 19736561 PMC3191340
  13. [19]Satoh J Kawana N Yamamoto Y Pathway analysis of ChIP-Seq-based NRF1 target genes suggests a logical hypothesis of their involvement in the pathogenesis of neurodegenerative diseases Gene Regul Syst Bio 2013 7 139 52 PMC3825669 24250222
  14. [20]Blasi E Barluzzi R Bocchini V Mazzolla R Bistoni F Immortalization of murine microglial cells by a v-raf/v-myc carrying retrovirus J Neuroimmunol 1990 27 2–3 229 37 2110186
  15. [21]Zhang Y Liu T Meyer CA Model-based analysis of ChIP-Seq (MACS) Genome Biol 2008 9 9 R137 18798982 PMC2592715
  16. [22]Zhang X Robertson G Krzywinski M PICS: probabilistic inference for ChIP-seq Biometrics 2011 67 1 151 63 20528864
  17. [23]Li L GADEM: a genetic algorithm guided formation of spaced dyads coupled with an EM algorithm for motif discovery J Comput Biol 2009 16 2 317 29 19193149 PMC2756050
  18. [24]Huang da W Sherman BT Lempicki RA Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources Nat Protoc 2009 4 1 44 57 19131956
  19. [25]Kanehisa M Goto S Sato Y Furumichi M Tanabe M KEGG for integration and interpretation of large-scale molecular data sets Nucleic Acids Res 2012 40 Database Issue D109 14 22080510 PMC3245020
  20. [26]Satoh J Tabunoki H Comprehensive analysis of human microRNA target networks BioData Min 2011 4 17 21682903 PMC3130707
  21. [27]Jin H Li L Xu J Runx1 regulates embryonic myeloid fate choice in zebrafish through a negative feedback loop inhibiting Pu.1 expression Blood 2012 119 22 5239 49 22493295 PMC3369614
  22. [28]Wang Y Szretter KJ Vermi W IL-34 is a tissue-restricted ligand of CSF1R required for the development of Langerhans cells and microglia Nat Immunol 2012 13 8 753 60 22729249 PMC3941469
  23. [30]Hickman SE Kingery ND Ohsumi TK The microglial sensome revealed by direct RNA sequencing Nat Neurosci 2013 16 12 1896 905 24162652 PMC3840123
  24. [33]Henn A Lund S Hedtjärn M Schrattenholz A Pörzgen P Leist M The suitability of BV2 cells as alternative model system for primary microglia cultures or for animal experiments examining brain inflammation ALTEX 2009 26 2 83 94 19565166
  25. [34]Rosenbauer F Wagner K Kutok JL Acute myeloid leukemia induced by graded reduction of a lineage-specific transcription factor, PU.1 Nat Genet 2004 36 6 624 30 15146183
  26. [35]Rekhtman N Choe KS Matushansky I Murray S Stopka T Skoultchi AI PU.1 and pRB interact and cooperate to repress GATA-1 and block erythroid differentiation Mol Cell Biol 2003 23 21 7460 74 14559995 PMC207581
  27. [36]Chen H Ray-Gallet D Zhang P PU.1 (Spi-1) autoregulates its expression in myeloid cells Oncogene 1995 11 8 1549 60 7478579
  28. [37]Wang D D’Costa J Civin CI Friedman AD C/EBPα directs monocytic commitment of primary myeloid progenitors Blood 2006 108 4 1223 9 16645168 PMC1895870
  29. [38]Friedman AD C/EBPa induces PU.1 and interacts with AP-1 and NF-kB to regulate myeloid development Blood Cells Mol Dis 2007 39 3 340 3 17669672 PMC2083642
  30. [39]Gómez-Nicola D Fransen NL Suzzi S Perry VH Regulation of microglial proliferation during chronic neurodegeneration J Neurosci 2013 33 6 2481 93 23392676 PMC6619184
  31. [40]Satoh J Tabunoki H Ishida T Immunohistochemical characterization of microglia in Nasu-Hakola disease brains Neuropathology 2011 31 4 363 75 21118401
  32. [42]Weigelt K Ernst W Walczak Y Dap12 expression in activated microglia from retinoschisin-deficient retina and its PU.1-dependent promoter regulation J Leukoc Biol 2007 82 6 1564 74 17827340
  33. [44]Zhang B Gaiteri C Bodea LG Integrated systems approach identifies genetic nodes and networks in late-onset Alzheimer’s disease Cell 2013 153 3 707 20 23622250 PMC3677161
  34. [45]Landt SG Marinov GK Kundaje A ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia Genome Res 2012 22 9 1813 31 22955991 PMC3431496

Authors
Satoh, J.-I., Asahina, N., Kitano, S., & Kino, Y.
Affiliations
Meiji Pharmaceutical University (JP)
Corresponding author
Satoh, Jun-ichi
Venue
Gene Regulation and Systems Biology
Published
2014-01
Volume
8
Pages
127-39
ISSN
1177-6250 (ISSN-L)
OpenAlex
W1974504285
Cited by
74
References
46
Citations by year
2026: 4 · 2025: 8 · 2024: 4 · 2023: 5 · 2022: 8 · 2021: 9 · 2020: 9 · 2019: 3 · 2018: 9 · 2017: 9 · 2016: 3 · 2015: 3
FWCI
2.60
Type
journal article
Language
en
Open access
Locations
  • Gene Regulation and Systems Biology (publishedVersion, cc-by-nc)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
Japan Society for the Promotion of Science (25430054)
Topics
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
Keywords
microglia, transcription factor target genes, BV-2 cells, IRF8, CSF-1, CX3CR1, TREM2, phagocytosis, lysosomal degradation, neurodegenerative diseases, Alzheimer's disease, Parkinson's disease, myeloid development

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