A Dual Cis-Regulatory Code Links IRF8 to Constitutive and Inducible Gene Expression in Macrophages
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
The Master Neural Transcription Factor BRN2 Is an Androgen Receptor–Suppressed Driver of Neuroendocrine Differentiation in Prostate Cancer
Published OnlineFirst October 26, 2016; DOI: 10.1158/2159-8290.CD-15-1263 RESEARCH ARTICLE The Master Neural Transcription Factor BRN2 Is an Androgen Receptor–Suppressed Driver of Neuroendocrine Differentiation in Prostate Cancer Jennifer L. Bishop1, Daksh Thaper1,2, Sepideh Vahid1,2, Alastair Davies1, Kirsi Ketola1, Hidetoshi Kuruma1, Randy Jama1, Ka Mun Nip1,2, Arkhjamil Angeles1, Fraser Johnson1, Alexander W. Wyatt1,2, Ladan Fazli1,2, Martin E. Gleave1,2, Dong Lin1, Mark A. Rubin3, Colin C. Collins1,2, Yuzhuo Wang1,2, Himisha Beltran3, and Amina Zoubeidi1,2 ABSTRACT Mechanisms controlling the emergence of lethal neuroendocrine prostate cancer (NEPC), especially those that are consequences of treatment-induced suppression of the androgen receptor (AR), remain elusive. Using a unique model of AR pathway inhibitor–resistant prostate cancer, we identified AR-dependent control of the neural transcription factor BRN2 (encoded by POU3F2) as a major driver of NEPC and aggressive tumor growth, both in vitro and in vivo. Mecha- nistic studies showed that AR directly suppresses BRN2 transcription, which is required for NEPC, and BRN2-dependent regulation of the NEPC marker SOX2. Underscoring its inverse correlation with clas- sic AR activity in clinical samples, BRN2 expression was highest in NEPC tumors and was significantly increased in castration-resistant prostate cancer compared with adenocarcinoma, especially in patients with low serum PSA. These data reveal a novel mechanism of AR-dependent control of NEPC and suggest that targeting BRN2 is a strategy to treat or prevent neuroendocrine differentiation in prostate tumors. SIGNIFICANCE: Understanding the contribution of the AR to the emergence of highly lethal, drug- resistant NEPC is critical for better implementation of current standard-of-care therapies and novel drug design. -
Activated Peripheral-Blood-Derived Mononuclear Cells
Transcription factor expression in lipopolysaccharide- activated peripheral-blood-derived mononuclear cells Jared C. Roach*†, Kelly D. Smith*‡, Katie L. Strobe*, Stephanie M. Nissen*, Christian D. Haudenschild§, Daixing Zhou§, Thomas J. Vasicek¶, G. A. Heldʈ, Gustavo A. Stolovitzkyʈ, Leroy E. Hood*†, and Alan Aderem* *Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103; ‡Department of Pathology, University of Washington, Seattle, WA 98195; §Illumina, 25861 Industrial Boulevard, Hayward, CA 94545; ¶Medtronic, 710 Medtronic Parkway, Minneapolis, MN 55432; and ʈIBM Computational Biology Center, P.O. Box 218, Yorktown Heights, NY 10598 Contributed by Leroy E. Hood, August 21, 2007 (sent for review January 7, 2007) Transcription factors play a key role in integrating and modulating system. In this model system, we activated peripheral-blood-derived biological information. In this study, we comprehensively measured mononuclear cells, which can be loosely termed ‘‘macrophages,’’ the changing abundances of mRNAs over a time course of activation with lipopolysaccharide (LPS). We focused on the precise mea- of human peripheral-blood-derived mononuclear cells (‘‘macro- surement of mRNA concentrations. There is currently no high- phages’’) with lipopolysaccharide. Global and dynamic analysis of throughput technology that can precisely and sensitively measure all transcription factors in response to a physiological stimulus has yet to mRNAs in a system, although such technologies are likely to be be achieved in a human system, and our efforts significantly available in the near future. To demonstrate the potential utility of advanced this goal. We used multiple global high-throughput tech- such technologies, and to motivate their development and encour- nologies for measuring mRNA levels, including massively parallel age their use, we produced data from a combination of two distinct signature sequencing and GeneChip microarrays. -
Microglia Emerge from Erythromyeloid Precursors Via Pu.1- and Irf8-Dependent Pathways
ART ic LE S Microglia emerge from erythromyeloid precursors via Pu.1- and Irf8-dependent pathways Katrin Kierdorf1,2, Daniel Erny1, Tobias Goldmann1, Victor Sander1, Christian Schulz3,4, Elisa Gomez Perdiguero3,4, Peter Wieghofer1,2, Annette Heinrich5, Pia Riemke6, Christoph Hölscher7,8, Dominik N Müller9, Bruno Luckow10, Thomas Brocker11, Katharina Debowski12, Günter Fritz1, Ghislain Opdenakker13, Andreas Diefenbach14, Knut Biber5,15, Mathias Heikenwalder16, Frederic Geissmann3,4, Frank Rosenbauer6 & Marco Prinz1,17 Microglia are crucial for immune responses in the brain. Although their origin from the yolk sac has been recognized for some time, their precise precursors and the transcription program that is used are not known. We found that mouse microglia were derived from primitive c-kit+ erythromyeloid precursors that were detected in the yolk sac as early as 8 d post conception. + lo − + − + These precursors developed into CD45 c-kit CX3CR1 immature (A1) cells and matured into CD45 c-kit CX3CR1 (A2) cells, as evidenced by the downregulation of CD31 and concomitant upregulation of F4/80 and macrophage colony stimulating factor receptor (MCSF-R). Proliferating A2 cells became microglia and invaded the developing brain using specific matrix metalloproteinases. Notably, microgliogenesis was not only dependent on the transcription factor Pu.1 (also known as Sfpi), but also required Irf8, which was vital for the development of the A2 population, whereas Myb, Id2, Batf3 and Klf4 were not required. Our data provide cellular and molecular insights into the origin and development of microglia. Microglia are the tissue macrophages of the brain and scavenge dying have the ability to give rise to microglia and macrophages in vitro cells, pathogens and molecules using pattern recognition receptors and in vivo under defined conditions. -
Quantitative Modelling Explains Distinct STAT1 and STAT3
bioRxiv preprint doi: https://doi.org/10.1101/425868; this version posted September 24, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Title Quantitative modelling explains distinct STAT1 and STAT3 activation dynamics in response to both IFNγ and IL-10 stimuli and predicts emergence of reciprocal signalling at the level of single cells. 1,2, 3 1 1 1 1 1 2 Sarma U , Maitreye M , Bhadange S , Nair A , Srivastava A , Saha B , Mukherjee D . 1: National Centre for Cell Science, NCCS Complex, Ganeshkhind, SP Pune University Campus, Pune 411007, India. 2 : Corresponding author. [email protected] , [email protected] 3: Present address. Labs, Persistent Systems Limited, Pingala – Aryabhata, Erandwane, Pune, 411004 India. bioRxiv preprint doi: https://doi.org/10.1101/425868; this version posted September 24, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Abstract Cells use IFNγ-STAT1 and IL-10-STAT3 pathways primarily to elicit pro and anti-inflammatory responses, respectively. However, activation of STAT1 by IL-10 and STAT3 by IFNγ is also observed. The regulatory mechanisms controlling the amplitude and dynamics of both the STATs in response to these functionally opposing stimuli remains less understood. Here, our experiments at cell population level show distinct early signalling dynamics of both STAT1 and STAT3(S/1/3) in responses to IFNγ and IL-10 stimulation. -
Viral Resistance and IFN Signaling in STAT2 Knockout Fish Cells Carola E
Viral Resistance and IFN Signaling in STAT2 Knockout Fish Cells Carola E. Dehler, Katherine Lester, Giulia Della Pelle, Luc Jouneau, Armel Houel, Catherine Collins, Tatiana Dovgan, This information is current as Radek Machat, Jun Zou, Pierre Boudinot, Samuel A. M. of September 26, 2021. Martin and Bertrand Collet J Immunol published online 29 May 2019 http://www.jimmunol.org/content/early/2019/05/28/jimmun ol.1801376 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2019/05/28/jimmunol.180137 Material 6.DCSupplemental http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication by guest on September 26, 2021 *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2019 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. Published May 29, 2019, doi:10.4049/jimmunol.1801376 The Journal of Immunology Viral Resistance and IFN Signaling in STAT2 Knockout Fish Cells Carola E. Dehler,* Katherine Lester,† Giulia Della Pelle,‡ Luc Jouneau,‡ Armel Houel,‡ Catherine Collins,† Tatiana Dovgan,*,† Radek Machat,‡,1 Jun Zou,*,2 Pierre Boudinot,‡ Samuel A. -
A Molecular Switch from STAT2-IRF9 to ISGF3 Underlies Interferon-Induced Gene Transcription
ARTICLE https://doi.org/10.1038/s41467-019-10970-y OPEN A molecular switch from STAT2-IRF9 to ISGF3 underlies interferon-induced gene transcription Ekaterini Platanitis 1, Duygu Demiroz1,5, Anja Schneller1,5, Katrin Fischer1, Christophe Capelle1, Markus Hartl 1, Thomas Gossenreiter 1, Mathias Müller2, Maria Novatchkova3,4 & Thomas Decker 1 Cells maintain the balance between homeostasis and inflammation by adapting and inte- grating the activity of intracellular signaling cascades, including the JAK-STAT pathway. Our 1234567890():,; understanding of how a tailored switch from homeostasis to a strong receptor-dependent response is coordinated remains limited. Here, we use an integrated transcriptomic and proteomic approach to analyze transcription-factor binding, gene expression and in vivo proximity-dependent labelling of proteins in living cells under homeostatic and interferon (IFN)-induced conditions. We show that interferons (IFN) switch murine macrophages from resting-state to induced gene expression by alternating subunits of transcription factor ISGF3. Whereas preformed STAT2-IRF9 complexes control basal expression of IFN-induced genes (ISG), both type I IFN and IFN-γ cause promoter binding of a complete ISGF3 complex containing STAT1, STAT2 and IRF9. In contrast to the dogmatic view of ISGF3 formation in the cytoplasm, our results suggest a model wherein the assembly of the ISGF3 complex occurs on DNA. 1 Max Perutz Labs (MPL), University of Vienna, Vienna 1030, Austria. 2 Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna 1210, Austria. 3 Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna 1030, Austria. 4 Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna 1030, Austria. -
IRF8 Regulates Gram-Negative Bacteria–Mediated NLRP3 Inflammasome Activation and Cell Death
IRF8 Regulates Gram-Negative Bacteria− Mediated NLRP3 Inflammasome Activation and Cell Death This information is current as Rajendra Karki, Ein Lee, Bhesh R. Sharma, Balaji Banoth of September 25, 2021. and Thirumala-Devi Kanneganti J Immunol published online 23 March 2020 http://www.jimmunol.org/content/early/2020/03/20/jimmun ol.1901508 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2020/03/20/jimmunol.190150 Material 8.DCSupplemental http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication by guest on September 25, 2021 *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2020 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. Published March 23, 2020, doi:10.4049/jimmunol.1901508 The Journal of Immunology IRF8 Regulates Gram-Negative Bacteria–Mediated NLRP3 Inflammasome Activation and Cell Death Rajendra Karki,*,1 Ein Lee,*,†,1 Bhesh R. Sharma,*,1 Balaji Banoth,* and Thirumala-Devi Kanneganti* Inflammasomes are intracellular signaling complexes that are assembled in response to a variety of pathogenic or physiologic stimuli to initiate inflammatory responses. -
Reduced Expression of IL-12 Receptor B2 and IL-18 Receptor a Genes in Natural Killer Cells and Macrophages Derived from B6-Mi/Mi Mice
Laboratory Investigation (2005) 85, 146–153 & 2005 USCAP, Inc All rights reserved 0023-6837/05 $30.00 www.laboratoryinvestigation.org Reduced expression of IL-12 receptor b2 and IL-18 receptor a genes in natural killer cells and macrophages derived from B6-mi/mi mice Tatsuki R Kataoka1,2, Nobuyasu Komazawa3, Keisuke Oboki1, Eiichi Morii1 and Toru Nakano1,4 1Department of Pathology, Medical School/Graduate School of Frontier Bioscience, Osaka University, Osaka, Japan; 2Department of Pathology, Osaka Medical Center for Cancer and Cardiovascular Disease, Osaka, Japan; 3Department of Social and Environmental Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan and 4Department of Molecular Cell Biology, Research Institute for Microbial Disease, Osaka University, Osaka, Japan The mi transcriptional factor (MITF) is a basic helix–loop–helix leucine zipper-type transcriptional factor. The mi mutant allele encodes an abnormal MITF, in which one out of four consecutive arginines is deleted in the basic domain. The VGA-9-tg (tg) allele is another mutant allele and considered to be a null mutant allele. C57BL/6 (B6)- mi/mi mice showed abnormal phenotypes of natural killer (NK) cells and macrophages, whereas B6-tg/tg mice did not. The expression levels of the genes for the interleukin-12 receptor (IL-12R) b2 and IL-18Ra were reduced in both the NK cells and macrophages of B6-mi/mi mice, while the expression levels of the corresponding genes in B6-tg/tg mice were unaffected. The B6-mi/mi NK cells and B6-mi/mi macrophages showed impaired responses to stimulation with IL-12, IL-18, and IL-12 plus IL-18 stimulation. -
Review Article the Role of Interferon Regulatory Factor-1 (IRF1) in Overcoming Antiestrogen Resistance in the Treatment of Breast Cancer
SAGE-Hindawi Access to Research International Journal of Breast Cancer Volume 2011, Article ID 912102, 9 pages doi:10.4061/2011/912102 Review Article The Role of Interferon Regulatory Factor-1 (IRF1) in Overcoming Antiestrogen Resistance in the Treatment of Breast Cancer J.L.Schwartz,A.N.Shajahan,andR.Clarke Georgetown University Medical Center, W401 Research Building, 3970 Reservoir Road, NW, Washington, DC 20057, USA Correspondence should be addressed to R. Clarke, [email protected] Received 18 February 2011; Revised 29 April 2011; Accepted 9 May 2011 Academic Editor: Chengfeng Yang Copyright © 2011 J. L. Schwartz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Resistance to endocrine therapy is common among breast cancer patients with estrogen receptor alpha-positive (ER+) tumors and limits the success of this therapeutic strategy. While the mechanisms that regulate endocrine responsiveness and cell fate are not fully understood, interferon regulatory factor-1 (IRF1) is strongly implicated as a key regulatory node in the underlying signaling network. IRF1 is a tumor suppressor that mediates cell fate by facilitating apoptosis and can do so with or without functional p53. Expression of IRF1 is downregulated in endocrine-resistant breast cancer cells, protecting these cells from IRF1- induced inhibition of proliferation and/or induction of cell death. Nonetheless, when IRF1 expression is induced following IFNγ treatment, antiestrogen sensitivity is restored by a process that includes the inhibition of prosurvival BCL2 family members and caspase activation. -
Partner-Regulated Interaction of IFN Regulatory Factor 8 with Chromatin Visualized in Live Macrophages
Partner-regulated interaction of IFN regulatory factor 8 with chromatin visualized in live macrophages Leopoldo Laricchia-Robbio*, Tomohiko Tamura*, Tatiana Karpova†, Brian L. Sprague†, James G. McNally†, and Keiko Ozato*‡ *Laboratory of Molecular Growth Regulation, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892-2753; and †Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892-5055 Edited by Laurie H. Glimcher, Harvard School of Public Health, Boston, MA, and approved August 18, 2005 (received for review May 17, 2005) IFN regulatory factor (IRF) 8 is a transcription factor that directs protein–protein interactions on fluorescence recovery have not macrophage differentiation. By fluorescence recovery after pho- been extensively studied. Moreover, many FRAP studies so far tobleaching, we visualized the movement of IRF8-GFP in differen- reported are qualitative, lacking quantitative insight into the tiating macrophages. Recovery data fitted to mathematical models chromatin-binding events. More recent efforts to fit FRAP data revealed two binding states for IRF8. The majority of IRF8 was to mathematical models begin to provide a clearer knowledge on highly mobile and transiently interacted with chromatin, whereas the property of FRAP mobility (16, 17). a small fraction of IRF8 bound to chromatin more stably. IRF8 IRF8, a member of the IFN regulatory factor (IRF) family, is mutants that did not stimulate macrophage differentiation a key factor that guides the development of macrophages (18). showed a faster recovery, revealing little interaction with chro- We previously established an in vitro model system where matin. A macrophage activation signal by IFN-␥͞LPS led to a global IRF8Ϫ/Ϫ myeloid progenitor cells called Tot2 differentiate into slowdown of IRF8 movement, leading to increased chromatin macrophages upon IRF8 introduction (19). -
The Proapoptotic Gene Interferon Regulatory Factor-1 Mediates the Antiproliferative Outcome of Paired Box 2 Gene and Tamoxifen
Oncogene (2020) 39:6300–6312 https://doi.org/10.1038/s41388-020-01435-4 ARTICLE The proapoptotic gene interferon regulatory factor-1 mediates the antiproliferative outcome of paired box 2 gene and tamoxifen 1 1 1 2 3 3 Shixiong Wang ● Venkata S. Somisetty ● Baoyan Bai ● Igor Chernukhin ● Henri Niskanen ● Minna U. Kaikkonen ● 4,5 2 6,7 Meritxell Bellet ● Jason S. Carroll ● Antoni Hurtado Received: 13 November 2019 / Revised: 5 August 2020 / Accepted: 17 August 2020 / Published online: 25 August 2020 © The Author(s) 2020. This article is published with open access Abstract Tamoxifen is the most prescribed selective estrogen receptor (ER) modulator in patients with ER-positive breast cancers. Tamoxifen requires the transcription factor paired box 2 protein (PAX2) to repress the transcription of ERBB2/HER2. Now, we identified that PAX2 inhibits cell growth of ER+/HER2− tumor cells in a dose-dependent manner. Moreover, we have identified that cell growth inhibition can be achieved by expressing moderate levels of PAX2 in combination with tamoxifen treatment. Global run-on sequencing of cells overexpressing PAX2, when coupled with PAX2 ChIP-seq, identified common targets regulated by both PAX2 and tamoxifen. The data revealed that PAX2 can inhibit estrogen-induced gene transcription 1234567890();,: 1234567890();,: and this effect is enhanced by tamoxifen, suggesting that they converge on repression of the same targets. Moreover, PAX2 and tamoxifen have an additive effect and both induce coding genes and enhancer RNAs (eRNAs). PAX2–tamoxifen upregulated genes are also enriched with PAX2 eRNAs. The enrichment of eRNAs is associated with the highest expression of genes that positivity regulate apoptotic processes. -
An Immunoevasive Strategy Through Clinically-Relevant Pan-Cancer Genomic and Transcriptomic Alterations of JAK-STAT Signaling Components
bioRxiv preprint doi: https://doi.org/10.1101/576645; this version posted March 14, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. An immunoevasive strategy through clinically-relevant pan-cancer genomic and transcriptomic alterations of JAK-STAT signaling components Wai Hoong Chang1 and Alvina G. Lai1, 1Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford, OX3 7FZ, United Kingdom Since its discovery almost three decades ago, the Janus ki- Although cytokines are responsible for inflammation in nase (JAK)-signal transducer and activator of transcription cancer, spontaneous eradication of tumors by endoge- (STAT) pathway has paved the road for understanding inflam- nous immune processes rarely occurs. Moreover, the matory and immunity processes related to a wide range of hu- dynamic interaction between tumor cells and host immu- man pathologies including cancer. Several studies have demon- nity shields tumors from immunological ablation, which strated the importance of JAK-STAT pathway components in overall limits the efficacy of immunotherapy in the clinic. regulating tumor initiation and metastatic progression, yet, the extent of how genetic alterations influence patient outcome is far from being understood. Focusing on 133 genes involved in Cytokines can be pro- or anti-inflammatory and are inter- JAK-STAT signaling, we found that copy number alterations dependent on each other’s function to maintain immune underpin transcriptional dysregulation that differs within and homeostasis(3).