JAK-STAT signaling maintains homeostasis in T cells and macrophages.


Journal

Nature immunology
ISSN: 1529-2916
Titre abrégé: Nat Immunol
Pays: United States
ID NLM: 100941354

Informations de publication

Date de publication:
24 Apr 2024
Historique:
received: 22 07 2022
accepted: 07 03 2024
medline: 25 4 2024
pubmed: 25 4 2024
entrez: 24 4 2024
Statut: aheadofprint

Résumé

Immune cells need to sustain a state of constant alertness over a lifetime. Yet, little is known about the regulatory processes that control the fluent and fragile balance that is called homeostasis. Here we demonstrate that JAK-STAT signaling, beyond its role in immune responses, is a major regulator of immune cell homeostasis. We investigated JAK-STAT-mediated transcription and chromatin accessibility across 12 mouse models, including knockouts of all STAT transcription factors and of the TYK2 kinase. Baseline JAK-STAT signaling was detected in CD8

Identifiants

pubmed: 38658806
doi: 10.1038/s41590-024-01804-1
pii: 10.1038/s41590-024-01804-1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : F6102
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : F6108
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : F6105
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : F6104
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : F6107
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : F6103
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : F6101
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : F6106
Organisme : EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
ID : 101001971
Organisme : European Molecular Biology Organization (EMBO)
ID : ALTF 241-2017

Informations de copyright

© 2024. The Author(s).

Références

Ayres, J. S. The biology of physiological health. Cell 181, 250–269 (2020).
pubmed: 32302569 pmcid: 7409982 doi: 10.1016/j.cell.2020.03.036
López-Otín, C. & Kroemer, G. Hallmarks of health. Cell 184, 33–63 (2021).
pubmed: 33340459 doi: 10.1016/j.cell.2020.11.034
Paludan, S. R., Pradeu, T., Masters, S. L. & Mogensen, T. H. Constitutive immune mechanisms: mediators of host defence and immune regulation. Nat. Rev. Immunol. 21, 137–150 (2021).
pubmed: 32782357 doi: 10.1038/s41577-020-0391-5
Meizlish, M. L., Franklin, R. A., Zhou, X. & Medzhitov, R. Tissue homeostasis and inflammation. Annu. Rev. Immunol. 39, 557–581 (2021).
pubmed: 33651964 doi: 10.1146/annurev-immunol-061020-053734
Rankin, L. C. & Artis, D. Beyond host defense: emerging functions of the immune system in regulating complex tissue physiology. Cell 173, 554–567 (2018).
pubmed: 29677509 doi: 10.1016/j.cell.2018.03.013
Fitzgerald, K. A. & Kagan, J. C. Toll-like receptors and the control of immunity. Cell 180, 1044–1066 (2020).
pubmed: 32164908 pmcid: 9358771 doi: 10.1016/j.cell.2020.02.041
Goldszmid, R. S., Dzutsev, A. & Trinchieri, G. Host immune response to infection and cancer: unexpected commonalities. Cell Host Microbe 15, 295–305 (2014).
pubmed: 24629336 pmcid: 3996827 doi: 10.1016/j.chom.2014.02.003
Hunter, T. Signaling—2000 and beyond. Cell 100, 113–127 (2000).
pubmed: 10647936 doi: 10.1016/S0092-8674(00)81688-8
Purvis, J. E. & Lahav, G. Encoding and decoding cellular information through signaling dynamics. Cell 152, 945–956 (2013).
pubmed: 23452846 pmcid: 3707615 doi: 10.1016/j.cell.2013.02.005
Darnell, J. E. J., Kerr, I. M. & Stark, G. R. Jak-STAT pathways and transcriptional activation in response to IFNs and other extracellular signaling proteins. Science 264, 1415–1421 (1994).
pubmed: 8197455 doi: 10.1126/science.8197455
O’Shea, J. J., Gadina, M. & Schreiber, R. D. Cytokine signaling in 2002: new surprises in the Jak/Stat pathway. Cell 109, S121–S131 (2002).
pubmed: 11983158 doi: 10.1016/S0092-8674(02)00701-8
Philips, R. L. et al. The JAK-STAT pathway at 30: much learned, much more to do. Cell 185, 3857–3876 (2022).
pubmed: 36240739 pmcid: 9815833 doi: 10.1016/j.cell.2022.09.023
Casanova, J.-L., Holland, S. M. & Notarangelo, L. D. Inborn errors of human JAKs and STATs. Immunity 36, 515–528 (2012).
pubmed: 22520845 pmcid: 3334867 doi: 10.1016/j.immuni.2012.03.016
Levy, D. E. & Darnell, J. E. J. Stats: transcriptional control and biological impact. Nat. Rev. Mol. Cell Biol. 3, 651–662 (2002).
pubmed: 12209125 doi: 10.1038/nrm909
Decker, T., Kovarik, P. & Meinke, A. GAS elements: a few nucleotides with a major impact on cytokine-induced gene expression. J. Interferon Cytokine Res. 17, 121–134 (1997).
pubmed: 9085936 doi: 10.1089/jir.1997.17.121
Ehret, G. B. et al. DNA binding specificity of different STAT proteins. J. Biol. Chem. 276, 6675–6688 (2001).
pubmed: 11053426 doi: 10.1074/jbc.M001748200
Levy, D. E., Kessler, D. S., Pine, R., Reich, N. & Darnell, J. E. J. Interferon-induced nuclear factors that bind a shared promoter element correlate with positive and negative transcriptional control. Genes Dev. 2, 383–393 (1988).
pubmed: 3371658 doi: 10.1101/gad.2.4.383
Blaszczyk, K. et al. The unique role of STAT2 in constitutive and IFN-induced transcription and antiviral responses. Cytokine Growth Factor Rev. 29, 71–81 (2016).
pubmed: 27053489 doi: 10.1016/j.cytogfr.2016.02.010
Gough, D. J., Messina, N. L., Clarke, C. J., Johnstone, R. W. & Levy, D. E. Constitutive type I interferon modulates homeostatic balance through tonic signaling. Immunity 36, 166–174 (2012).
pubmed: 22365663 pmcid: 3294371 doi: 10.1016/j.immuni.2012.01.011
Platanitis, E. et al. A molecular switch from STAT2-IRF9 to ISGF3 underlies interferon-induced gene transcription. Nat. Commun. 10, 2921 (2019).
pubmed: 31266943 pmcid: 6606597 doi: 10.1038/s41467-019-10970-y
Taniguchi, T. & Takaoka, A. A weak signal for strong responses: interferon-alpha/beta revisited. Nat. Rev. Mol. Cell Biol. 2, 378–386 (2001).
pubmed: 11331912 doi: 10.1038/35073080
O’Shea, J. J. & Paul, W. E. Mechanisms underlying lineage commitment and plasticity of helper CD4
pubmed: 20185720 pmcid: 2997673 doi: 10.1126/science.1178334
Villarino, A. V., Gadina, M., O’Shea, J. J. & Kanno, Y. SnapShot: Jak-STAT signaling II. Cell 181, 1696–1696.e1691 (2020).
pubmed: 32589961 doi: 10.1016/j.cell.2020.04.052
Barrat, F. J., Crow, M. K. & Ivashkiv, L. B. Interferon target-gene expression and epigenomic signatures in health and disease. Nat. Immunol. 20, 1574–1583 (2019).
pubmed: 31745335 pmcid: 7024546 doi: 10.1038/s41590-019-0466-2
Czimmerer, Z. et al. The transcription factor STAT6 mediates direct repression of inflammatory enhancers and limits activation of alternatively polarized macrophages. Immunity 48, 75–90.e76 (2018).
pubmed: 29343442 pmcid: 5772169 doi: 10.1016/j.immuni.2017.12.010
Geary, C. D. et al. Non-redundant ISGF3 components promote NK cell survival in an auto-regulatory manner during viral infection. Cell Rep. 24, 1949–1957.e1946 (2018).
pubmed: 30134157 pmcid: 6153266 doi: 10.1016/j.celrep.2018.07.060
Kang, K., Robinson, G. W. & Hennighausen, L. Comprehensive meta-analysis of Signal Transducers and Activators of Transcription (STAT) genomic binding patterns discerns cell-specific cis-regulatory modules. BMC Genomics 14, 4 (2013).
pubmed: 23324445 pmcid: 3564941 doi: 10.1186/1471-2164-14-4
Mostafavi, S. et al. Parsing the interferon transcriptional network and its disease associations. Cell 164, 564–578 (2016).
pubmed: 26824662 pmcid: 4743492 doi: 10.1016/j.cell.2015.12.032
Sciumè, G. et al. Rapid enhancer remodeling and transcription factor repurposing enable high magnitude gene induction upon acute activation of NK cells. Immunity 53, 745–758.e744 (2020).
pubmed: 33010223 pmcid: 7572751 doi: 10.1016/j.immuni.2020.09.008
Singhania, A. et al. Transcriptional profiling unveils type I and II interferon networks in blood and tissues across diseases. Nat. Commun. 10, 2887 (2019).
pubmed: 31253760 pmcid: 6599044 doi: 10.1038/s41467-019-10601-6
Tripathi, S. K. et al. Genome-wide analysis of STAT3-mediated transcription during early human Th17 cell differentiation. Cell Rep. 19, 1888–1901 (2017).
pubmed: 28564606 doi: 10.1016/j.celrep.2017.05.013
Wiedemann, G. M. et al. Deconvoluting global cytokine signaling networks in natural killer cells. Nat. Immunol. 22, 627–638 (2021).
pubmed: 33859404 pmcid: 8476180 doi: 10.1038/s41590-021-00909-1
Zeng, X., Willi, M., Shin, H. Y., Hennighausen, L. & Wang, C. Lineage-specific and non-specific cytokine-sensing genes respond differentially to the master regulator STAT5. Cell Rep. 17, 3333–3346 (2016).
pubmed: 28009300 pmcid: 5217531 doi: 10.1016/j.celrep.2016.11.079
Cui, Y. et al. Inactivation of Stat5 in mouse mammary epithelium during pregnancy reveals distinct functions in cell proliferation, survival, and differentiation. Mol. Cell. Biol. 24, 8037–8047 (2004).
pubmed: 15340066 pmcid: 515028 doi: 10.1128/MCB.24.18.8037-8047.2004
Socolovsky, M., Fallon, A. E., Wang, S., Brugnara, C. & Lodish, H. F. Fetal anemia and apoptosis of red cell progenitors in Stat5a
pubmed: 10428030 doi: 10.1016/S0092-8674(00)81013-2
Takeda, K. et al. Targeted disruption of the mouse Stat3 gene leads to early embryonic lethality. Proc. Natl Acad. Sci. USA 94, 3801–3804 (1997).
pubmed: 9108058 pmcid: 20521 doi: 10.1073/pnas.94.8.3801
Teglund, S. et al. Stat5a and Stat5b proteins have essential and nonessential, or redundant, roles in cytokine responses. Cell 93, 841–850 (1998).
pubmed: 9630227 doi: 10.1016/S0092-8674(00)81444-0
Ghoreschi, K., Laurence, A. & O’Shea, J. J. Janus kinases in immune cell signaling. Immunol. Rev. 228, 273–287 (2009).
pubmed: 19290934 pmcid: 2782696 doi: 10.1111/j.1600-065X.2008.00754.x
Karaghiosoff, M. et al. Partial impairment of cytokine responses in Tyk2-deficient mice. Immunity 13, 549–560 (2000).
pubmed: 11070173 doi: 10.1016/S1074-7613(00)00054-6
Prchal-Murphy, M. et al. TYK2 kinase activity is required for functional type I interferon responses in vivo. PLoS ONE 7, e39141 (2012).
pubmed: 22723949 pmcid: 3377589 doi: 10.1371/journal.pone.0039141
Fink, K. & Grandvaux, N. STAT2 and IRF9: beyond ISGF3. JAKSTAT 2, e27521 (2013).
pubmed: 24498542 pmcid: 3906322
Rengachari, S. et al. Structural basis of STAT2 recognition by IRF9 reveals molecular insights into ISGF3 function. Proc. Natl Acad. Sci. USA 115, E601–E609 (2018).
pubmed: 29317535 pmcid: 5789952 doi: 10.1073/pnas.1718426115
Haeseleer, F. et al. Dual-substrate specificity short chain retinol dehydrogenases from the vertebrate retina. J. Biol. Chem. 277, 45537–45546 (2002).
pubmed: 12226107 doi: 10.1074/jbc.M208882200
Goswami, M. T. et al. Identification of TP53RK-Binding Protein (TPRKB) dependency in TP53-deficient cancers. Mol. Cancer Res. 17, 1652–1664 (2019).
pubmed: 31110156 pmcid: 6679750 doi: 10.1158/1541-7786.MCR-19-0144
Negri, G. et al. Expanding the role of the splicing USB1 gene from Poikiloderma with Neutropenia to acquired myeloid neoplasms. Br. J. Haematol. 171, 557–565 (2015).
pubmed: 26306619 doi: 10.1111/bjh.13651
Kim, S. H. & Lee, C. E. Counter-regulation mechanism of IL-4 and IFN-α signal transduction through cytosolic retention of the pY-STAT6:pY-STAT2:p48 complex. Eur. J. Immunol. 41, 461–472 (2011).
pubmed: 21268015 doi: 10.1002/eji.201040668
Paul, A., Tang, T. H. & Ng, S. K. Interferon regulatory factor 9 structure and regulation. Front. Immunol. 9, 1831 (2018).
pubmed: 30147694 pmcid: 6095977 doi: 10.3389/fimmu.2018.01831
Pham, H. T. T. et al. STAT5BN642H is a driver mutation for T cell neoplasia. J. Clin. Invest. 128, 387–401 (2018).
pubmed: 29200404 doi: 10.1172/JCI94509
Atlasi, Y. & Stunnenberg, H. G. The interplay of epigenetic marks during stem cell differentiation and development. Nat. Rev. Genet. 18, 643–658 (2017).
pubmed: 28804139 doi: 10.1038/nrg.2017.57
Paksa, A. & Rajagopal, J. The epigenetic basis of cellular plasticity. Curr. Opin. Cell Biol. 49, 116–122 (2017).
pubmed: 29413970 doi: 10.1016/j.ceb.2018.01.003
Carson, W. F. 4th et al. The STAT4/MLL1 epigenetic axis regulates the antimicrobial functions of murine macrophages. J. Immunol. 199, 1865–1874 (2017).
pubmed: 28733487 doi: 10.4049/jimmunol.1601272
Langlais, D., Barreiro, L. B. & Gros, P. The macrophage IRF8/IRF1 regulome is required for protection against infections and is associated with chronic inflammation. J. Exp. Med. 213, 585–603 (2016).
pubmed: 27001747 pmcid: 4821649 doi: 10.1084/jem.20151764
Nusinzon, I. & Horvath, C. M. Interferon-stimulated transcription and innate antiviral immunity require deacetylase activity and histone deacetylase 1. Proc. Natl Acad. Sci. USA 100, 14742–14747 (2003).
pubmed: 14645718 pmcid: 299790 doi: 10.1073/pnas.2433987100
Qiao, Y. et al. Synergistic activation of inflammatory cytokine genes by interferon-γ-induced chromatin remodeling and Toll-like receptor signaling. Immunity 39, 454–469 (2013).
pubmed: 24012417 doi: 10.1016/j.immuni.2013.08.009
Hirahara, K. et al. Helper T-cell differentiation and plasticity: insights from epigenetics. Immunology 134, 235–245 (2011).
pubmed: 21977994 pmcid: 3209564 doi: 10.1111/j.1365-2567.2011.03483.x
Krausgruber, T. et al. Structural cells are key regulators of organ-specific immune responses. Nature 583, 296–302 (2020).
pubmed: 32612232 pmcid: 7610345 doi: 10.1038/s41586-020-2424-4
Shi, M., Lin, T. H., Appell, K. C. & Berg, L. J. Janus-kinase-3-dependent signals induce chromatin remodeling at the Ifng locus during T helper 1 cell differentiation. Immunity 28, 763–773 (2008).
pubmed: 18549798 pmcid: 2587400 doi: 10.1016/j.immuni.2008.04.016
Moorlag, S. J. C. F. M. et al. Multi-omics analysis of innate and adaptive responses to BCG vaccination reveals epigenetic cell states that predict trained immunity. Immunity 57, 171–187.e14 (2024).
pubmed: 38198850 doi: 10.1016/j.immuni.2023.12.005
Jin, Y. et al. ZBED1/DREF: a transcription factor that regulates cell proliferation. Oncol. Lett. 20, 137 (2020).
pubmed: 32934705 pmcid: 7471704 doi: 10.3892/ol.2020.11997
Schaum, N. et al. Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris. Nature 562, 367–372 (2018).
pmcid: 6642641 doi: 10.1038/s41586-018-0590-4
Rosen, D. B. et al. Functional consequences of interactions between human NKR-P1A and its ligand LLT1 expressed on activated dendritic cells and B cells. J. Immunol. 180, 6508–6517 (2008).
pubmed: 18453569 doi: 10.4049/jimmunol.180.10.6508
van den Berg, T. K. et al. Cutting edge: CD43 functions as a T cell counterreceptor for the macrophage adhesion receptor sialoadhesin (Siglec-1). J. Immunol. 166, 3637–3640 (2001).
pubmed: 11238599 doi: 10.4049/jimmunol.166.6.3637
Baía, D. et al. Interaction of the LILRB1 inhibitory receptor with HLA class Ia dimers. Eur. J. Immunol. 46, 1681–1690 (2016).
pubmed: 27109306 doi: 10.1002/eji.201546149
Yang, R. et al. Galectin-9 interacts with PD-1 and TIM-3 to regulate T cell death and is a target for cancer immunotherapy. Nat. Commun. 12, 832 (2021).
pubmed: 33547304 pmcid: 7864927 doi: 10.1038/s41467-021-21099-2
O’Shea, J. J. & Plenge, R. JAK and STAT signaling molecules in immunoregulation and immune-mediated disease. Immunity 36, 542–550 (2012).
pubmed: 22520847 pmcid: 3499974 doi: 10.1016/j.immuni.2012.03.014
Villarino, A. V., Kanno, Y. & O’Shea, J. J. Mechanisms and consequences of Jak-STAT signaling in the immune system. Nat. Immunol. 18, 374–384 (2017).
pubmed: 28323260 doi: 10.1038/ni.3691
Hennighausen, L. & Robinson, G. W. Interpretation of cytokine signaling through the transcription factors STAT5A and STAT5B. Genes Dev. 22, 711–721 (2008).
pubmed: 18347089 pmcid: 2394721 doi: 10.1101/gad.1643908
Hou, S. X., Zheng, Z., Chen, X. & Perrimon, N. The Jak/STAT pathway in model organisms: emerging roles in cell movement. Dev. Cell 3, 765–778 (2002).
pubmed: 12479803 doi: 10.1016/S1534-5807(02)00376-3
Buchert, M., Burns, C. J. & Ernst, M. Targeting JAK kinase in solid tumors: emerging opportunities and challenges. Oncogene 35, 939–951 (2016).
pubmed: 25982279 doi: 10.1038/onc.2015.150
Chen, E., Staudt, L. M. & Green, A. R. Janus kinase deregulation in leukemia and lymphoma. Immunity 36, 529–541 (2012).
pubmed: 22520846 pmcid: 7480953 doi: 10.1016/j.immuni.2012.03.017
Meyts, I. & Casanova, J. L. Viral infections in humans and mice with genetic deficiencies of the type I IFN response pathway. Eur. J. Immunol. 51, 1039–1061 (2021).
pubmed: 33729549 pmcid: 8900014 doi: 10.1002/eji.202048793
Schwartz, D. M. et al. JAK inhibition as a therapeutic strategy for immune and inflammatory diseases. Nat. Rev. Drug Discov. 16, 843–862 (2017).
pubmed: 29104284 doi: 10.1038/nrd.2017.201
Vainchenker, W. & Constantinescu, S. N. JAK/STAT signaling in hematological malignancies. Oncogene 32, 2601–2613 (2013).
pubmed: 22869151 doi: 10.1038/onc.2012.347
Durbin, J. E., Hackenmiller, R., Simon, M. C. & Levy, D. E. Targeted disruption of the mouse Stat1 gene results in compromised innate immunity to viral disease. Cell 84, 443–450 (1996).
pubmed: 8608598 doi: 10.1016/S0092-8674(00)81289-1
Park, C., Li, S., Cha, E. & Schindler, C. Immune response in Stat2 knockout mice. Immunity 13, 795–804 (2000).
pubmed: 11163195 doi: 10.1016/S1074-7613(00)00077-7
Alonzi, T. et al. Essential role of STAT3 in the control of the acute-phase response as revealed by inducible gene inactivation in the liver. Mol. Cell. Biol. 21, 1621–1632 (2001).
pubmed: 11238899 pmcid: 86708 doi: 10.1128/MCB.21.5.1621-1632.2001
de Boer, J. et al. Transgenic mice with hematopoietic and lymphoid specific expression of Cre. Eur. J. Immunol. 33, 314–325 (2003).
pubmed: 12548562 doi: 10.1002/immu.200310005
Kaplan, M. H., Schindler, U., Smiley, S. T. & Grusby, M. J. Stat6 is required for mediating responses to IL-4 and for development of Th2 cells. Immunity 4, 313–319 (1996).
pubmed: 8624821 doi: 10.1016/S1074-7613(00)80439-2
Kimura, T. et al. Essential and non-redundant roles of p48 (ISGF3γ) and IRF-1 in both type I and type II interferon responses, as revealed by gene targeting studies. Genes Cells 1, 115–124 (1996).
pubmed: 9078371 doi: 10.1046/j.1365-2443.1996.08008.x
Schwenk, F., Baron, U. & Rajewsky, K. A cre-transgenic mouse strain for the ubiquitous deletion of loxP-flanked gene segments including deletion in germ cells. Nucleic Acids Res. 23, 5080–5081 (1995).
pubmed: 8559668 pmcid: 307516 doi: 10.1093/nar/23.24.5080
Vielnascher, R. M. et al. Conditional ablation of TYK2 in immunity to viral infection and tumor surveillance. Transgenic Res. 23, 519–529 (2014).
pubmed: 24696087 doi: 10.1007/s11248-014-9795-y
Semper, C. et al. STAT1β is not dominant negative and is capable of contributing to gamma interferon-dependent innate immunity. Mol. Cell. Biol. 34, 2235–2248 (2014).
pubmed: 24710278 pmcid: 4054301 doi: 10.1128/MCB.00295-14
Picelli, S. et al. Full-length RNA-seq from single cells using Smart-seq2. Nat. Protoc. 9, 171–181 (2014).
pubmed: 24385147 doi: 10.1038/nprot.2014.006
Pezoldt, J. et al. Single-cell transcriptional profiling of splenic fibroblasts reveals subset-specific innate immune signatures in homeostasis and during viral infection. Commun. Biol. 4, 1355 (2021).
pubmed: 34857864 pmcid: 8640036 doi: 10.1038/s42003-021-02882-9
Buenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y. & Greenleaf, W. J. Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position. Nat. Methods 10, 1213–1218 (2013).
pubmed: 24097267 pmcid: 3959825 doi: 10.1038/nmeth.2688
Corces, M. R. et al. Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution. Nat. Genet. 48, 1193–1203 (2016).
pubmed: 27526324 pmcid: 5042844 doi: 10.1038/ng.3646
Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120 (2014).
pubmed: 24695404 pmcid: 4103590 doi: 10.1093/bioinformatics/btu170
Dobin, A. et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics 29, 15–21 (2013).
pubmed: 23104886 doi: 10.1093/bioinformatics/bts635
Frankish, A. et al. GENCODE reference annotation for the human and mouse genomes. Nucleic Acids Res. 47, D766–d773 (2019).
pubmed: 30357393 doi: 10.1093/nar/gky955
Zhang, Y. et al. Model-based Analysis of ChIP-Seq (MACS). Genome Biol. 9, R137 (2008).
pubmed: 18798982 pmcid: 2592715 doi: 10.1186/gb-2008-9-9-r137
Ritchie, M. E. et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 43, e47 (2015).
pubmed: 25605792 pmcid: 4402510 doi: 10.1093/nar/gkv007
Hoffman, G. E. & Roussos, P. Dream: powerful differential expression analysis for repeated measures designs. Bioinformatics 37, 192–201 (2021).
pubmed: 32730587 doi: 10.1093/bioinformatics/btaa687
Robinson, M. D., McCarthy, D. J. & Smyth, G. K. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139–140 (2010).
pubmed: 19910308 doi: 10.1093/bioinformatics/btp616
Bates, D., Mächler, M., Bolker, B. & Walker, S. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67, 1–48 (2015).
doi: 10.18637/jss.v067.i01
Sheffield, N. C. & Bock, C. LOLA: enrichment analysis for genomic region sets and regulatory elements in R and Bioconductor. Bioinformatics 32, 587–589 (2016).
pubmed: 26508757 doi: 10.1093/bioinformatics/btv612
McInnes, L., Healy, J., Saul, N. & Großberger, L. UMAP: uniform manifold approximation and projection. J. Open Source Softw. 3, 861 (2018).
doi: 10.21105/joss.00861
Heinz, S. et al. Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. Mol. Cell 38, 576–589 (2010).
pubmed: 20513432 pmcid: 2898526 doi: 10.1016/j.molcel.2010.05.004
Zyla, J. et al. Gene set enrichment for reproducible science: comparison of CERNO and eight other algorithms. Bioinformatics 35, 5146–5154 (2019).
pubmed: 31165139 pmcid: 6954644 doi: 10.1093/bioinformatics/btz447
Welch, R. P. et al. ChIP-Enrich: gene set enrichment testing for ChIP-seq data. Nucleic Acids Res. 42, e105 (2014).
pubmed: 24878920 pmcid: 4117744 doi: 10.1093/nar/gku463
Bentsen, M. et al. ATAC-seq footprinting unravels kinetics of transcription factor binding during zygotic genome activation. Nat. Commun. 11, 4267 (2020).
pubmed: 32848148 pmcid: 7449963 doi: 10.1038/s41467-020-18035-1
Jin, S. et al. Inference and analysis of cell-cell communication using CellChat. Nat. Commun. 12, 1088 (2021).
pubmed: 33597522 pmcid: 7889871 doi: 10.1038/s41467-021-21246-9
Andreatta, M. et al. Interpretation of T cell states from single-cell transcriptomics data using reference atlases. Nat. Commun. 12, 2965 (2021).
pubmed: 34017005 pmcid: 8137700 doi: 10.1038/s41467-021-23324-4
Kuleshov, M. V. et al. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res. 44, W90–W97 (2016).
pubmed: 27141961 pmcid: 4987924 doi: 10.1093/nar/gkw377
Liberzon, A. et al. The Molecular Signatures Database (MSigDB) hallmark gene set collection. Cell Syst. 1, 417–425 (2015).
pubmed: 26771021 pmcid: 4707969 doi: 10.1016/j.cels.2015.12.004
Rusinova, I. et al. Interferome v2.0: an updated database of annotated interferon-regulated genes. Nucleic Acids Res. 41, D1040–D1046 (2013).
pubmed: 23203888 doi: 10.1093/nar/gks1215
Castro-Mondragon, J. A. et al. JASPAR 2022: the 9th release of the open-access database of transcription factor binding profiles. Nucleic Acids Res. 50, D165–d173 (2022).
pubmed: 34850907 doi: 10.1093/nar/gkab1113
Jones, R. C. et al. The Tabula Sapiens: a multiple-organ, single-cell transcriptomic atlas of humans. Science 376, eabl4896 (2022).
pubmed: 35549404 doi: 10.1126/science.abl4896
Schaum, N. et al. Ageing hallmarks exhibit organ-specific temporal signatures. Nature 583, 596–602 (2020).
pubmed: 32669715 pmcid: 7757734 doi: 10.1038/s41586-020-2499-y
Bock, C & Fortelny, N. JAK-STAT signaling maintains homeostasis in T cells and macrophages. Zenodo https://doi.org/10.5281/zenodo.10649062 (2024).
Aran, D. et al. Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage. Nat. Immunol. 20, 163–172 (2019).
pubmed: 30643263 pmcid: 6340744 doi: 10.1038/s41590-018-0276-y
Heng, T. S. & Painter, M. W. The Immunological Genome Project: networks of gene expression in immune cells. Nat. Immunol. 9, 1091–1094 (2008).
pubmed: 18800157 doi: 10.1038/ni1008-1091

Auteurs

Nikolaus Fortelny (N)

CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
Center for Tumor Biology and Immunology, Department of Biosciences and Medical Biology, Paris-Lodron University Salzburg, Salzburg, Austria.

Matthias Farlik (M)

CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria. matthias.farlik@meduniwien.ac.at.
Department of Dermatology, Medical University of Vienna, Vienna, Austria. matthias.farlik@meduniwien.ac.at.

Victoria Fife (V)

CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.

Anna-Dorothea Gorki (AD)

Research Division of Infection Biology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Caroline Lassnig (C)

Animal Breeding and Genetics and VetBiomodels, Department of Biological Sciences and Pathobiology, University of Veterinary Medicine, Vienna, Austria.

Barbara Maurer (B)

Pharmacology and Toxicology, Department of Biological Sciences and Pathobiology, University of Veterinary Medicine, Vienna, Austria.

Katrin Meissl (K)

Animal Breeding and Genetics and VetBiomodels, Department of Biological Sciences and Pathobiology, University of Veterinary Medicine, Vienna, Austria.

Marlies Dolezal (M)

Platform for Bioinformatics and Biostatistics, Department of Biological Sciences and Pathobiology, University of Veterinary Medicine, Vienna, Austria.

Laura Boccuni (L)

Max Perutz Labs, University of Vienna, Vienna, Austria.

Aarathy Ravi Sundar Jose Geetha (A)

Max Perutz Labs, University of Vienna, Vienna, Austria.

Mojoyinola Joanna Akagha (MJ)

Animal Breeding and Genetics and VetBiomodels, Department of Biological Sciences and Pathobiology, University of Veterinary Medicine, Vienna, Austria.

Anzhelika Karjalainen (A)

Animal Breeding and Genetics and VetBiomodels, Department of Biological Sciences and Pathobiology, University of Veterinary Medicine, Vienna, Austria.

Stephen Shoebridge (S)

Animal Breeding and Genetics and VetBiomodels, Department of Biological Sciences and Pathobiology, University of Veterinary Medicine, Vienna, Austria.

Asma Farhat (A)

Research Division of Infection Biology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Ulrike Mann (U)

Department of Dermatology, Medical University of Vienna, Vienna, Austria.

Rohit Jain (R)

Department of Dermatology, Medical University of Vienna, Vienna, Austria.

Shweta Tikoo (S)

Department of Dermatology, Medical University of Vienna, Vienna, Austria.

Nina Zila (N)

Department of Dermatology, Medical University of Vienna, Vienna, Austria.

Wolfgang Esser-Skala (W)

Center for Tumor Biology and Immunology, Department of Biosciences and Medical Biology, Paris-Lodron University Salzburg, Salzburg, Austria.

Thomas Krausgruber (T)

CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
Institute of Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.

Katarzyna Sitnik (K)

Animal Breeding and Genetics and VetBiomodels, Department of Biological Sciences and Pathobiology, University of Veterinary Medicine, Vienna, Austria.

Thomas Penz (T)

CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.

Anastasiya Hladik (A)

Research Division of Infection Biology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Tobias Suske (T)

Animal Breeding and Genetics and VetBiomodels, Department of Biological Sciences and Pathobiology, University of Veterinary Medicine, Vienna, Austria.

Sophie Zahalka (S)

Research Division of Infection Biology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Martin Senekowitsch (M)

CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.

Daniele Barreca (D)

CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.

Florian Halbritter (F)

CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.

Sabine Macho-Maschler (S)

Animal Breeding and Genetics and VetBiomodels, Department of Biological Sciences and Pathobiology, University of Veterinary Medicine, Vienna, Austria.

Wolfgang Weninger (W)

Department of Dermatology, Medical University of Vienna, Vienna, Austria.

Heidi A Neubauer (HA)

Animal Breeding and Genetics and VetBiomodels, Department of Biological Sciences and Pathobiology, University of Veterinary Medicine, Vienna, Austria.

Richard Moriggl (R)

Animal Breeding and Genetics and VetBiomodels, Department of Biological Sciences and Pathobiology, University of Veterinary Medicine, Vienna, Austria.

Sylvia Knapp (S)

Research Division of Infection Biology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Veronika Sexl (V)

Pharmacology and Toxicology, Department of Biological Sciences and Pathobiology, University of Veterinary Medicine, Vienna, Austria.
University of Innsbruck, Innsbruck, Austria.

Birgit Strobl (B)

Animal Breeding and Genetics and VetBiomodels, Department of Biological Sciences and Pathobiology, University of Veterinary Medicine, Vienna, Austria.

Thomas Decker (T)

Max Perutz Labs, University of Vienna, Vienna, Austria.

Mathias Müller (M)

Animal Breeding and Genetics and VetBiomodels, Department of Biological Sciences and Pathobiology, University of Veterinary Medicine, Vienna, Austria.

Christoph Bock (C)

CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria. cbock@cemm.oeaw.ac.at.
Institute of Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria. cbock@cemm.oeaw.ac.at.

Classifications MeSH