Quantitative Profiling of BATF Family Proteins/JUNB/IRF Hetero-Trimers
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Supplementary Materials: Evaluation of Cytotoxicity and Α-Glucosidase Inhibitory Activity of Amide and Polyamino-Derivatives of Lupane Triterpenoids
Supplementary Materials: Evaluation of cytotoxicity and α-glucosidase inhibitory activity of amide and polyamino-derivatives of lupane triterpenoids Oxana B. Kazakova1*, Gul'nara V. Giniyatullina1, Akhat G. Mustafin1, Denis A. Babkov2, Elena V. Sokolova2, Alexander A. Spasov2* 1Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences, 71, pr. Oktyabrya, 450054 Ufa, Russian Federation 2Scientific Center for Innovative Drugs, Volgograd State Medical University, Novorossiyskaya st. 39, Volgograd 400087, Russian Federation Correspondence Prof. Dr. Oxana B. Kazakova Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences 71 Prospeсt Oktyabrya Ufa, 450054 Russian Federation E-mail: [email protected] Prof. Dr. Alexander A. Spasov Scientific Center for Innovative Drugs of the Volgograd State Medical University 39 Novorossiyskaya st. Volgograd, 400087 Russian Federation E-mail: [email protected] Figure S1. 1H and 13C of compound 2. H NH N H O H O H 2 2 Figure S2. 1H and 13C of compound 4. NH2 O H O H CH3 O O H H3C O H 4 3 Figure S3. Anticancer screening data of compound 2 at single dose assay 4 Figure S4. Anticancer screening data of compound 7 at single dose assay 5 Figure S5. Anticancer screening data of compound 8 at single dose assay 6 Figure S6. Anticancer screening data of compound 9 at single dose assay 7 Figure S7. Anticancer screening data of compound 12 at single dose assay 8 Figure S8. Anticancer screening data of compound 13 at single dose assay 9 Figure S9. Anticancer screening data of compound 14 at single dose assay 10 Figure S10. -
Examination of the Transcription Factors Acting in Bone Marrow
THESIS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY (PHD) Examination of the transcription factors acting in bone marrow derived macrophages by Gergely Nagy Supervisor: Dr. Endre Barta UNIVERSITY OF DEBRECEN DOCTORAL SCHOOL OF MOLECULAR CELL AND IMMUNE BIOLOGY DEBRECEN, 2016 Table of contents Table of contents ........................................................................................................................ 2 1. Introduction ............................................................................................................................ 5 1.1. Transcriptional regulation ................................................................................................... 5 1.1.1. Transcriptional initiation .................................................................................................. 5 1.1.2. Co-regulators and histone modifications .......................................................................... 8 1.2. Promoter and enhancer sequences guiding transcription factors ...................................... 11 1.2.1. General transcription factors .......................................................................................... 11 1.2.2. The ETS superfamily ..................................................................................................... 17 1.2.3. The AP-1 and CREB proteins ........................................................................................ 20 1.2.4. Other promoter specific transcription factor families ................................................... -
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. -
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). -
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). -
Hepatitis C Virus As a Unique Human Model Disease to Define
viruses Review Hepatitis C Virus as a Unique Human Model Disease to Define Differences in the Transcriptional Landscape of T Cells in Acute versus Chronic Infection David Wolski and Georg M. Lauer * Liver Center at the Gastrointestinal Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA * Correspondence: [email protected]; Tel.: +1-617-724-7515 Received: 27 June 2019; Accepted: 23 July 2019; Published: 26 July 2019 Abstract: The hepatitis C virus is unique among chronic viral infections in that an acute outcome with complete viral elimination is observed in a minority of infected patients. This unique feature allows direct comparison of successful immune responses with those that fail in the setting of the same human infection. Here we review how this scenario can be used to achieve better understanding of transcriptional regulation of T-cell differentiation. Specifically, we discuss results from a study comparing transcriptional profiles of hepatitis C virus (HCV)-specific CD8 T-cells during early HCV infection between patients that do and do not control and eliminate HCV. Identification of early gene expression differences in key T-cell differentiation molecules as well as clearly distinct transcriptional networks related to cell metabolism and nucleosomal regulation reveal novel insights into the development of exhausted and memory T-cells. With additional transcriptional studies of HCV-specific CD4 and CD8 T-cells in different stages of infection currently underway, we expect HCV infection to become a valuable model disease to study human immunity to viruses. Keywords: viral hepatitis; hepatitis C virus; T cells; transcriptional regulation; transcription factors; metabolism; nucleosome 1. -
Supplemental Table S1 (A): Microarray Datasets Characteristics
Supplemental table S1 (A): Microarray datasets characteristics Title Summary Samples Literature ref. GEO ref. Acquisition of granule Gene expression profiling of 27 (1) GSE 11859 neuron precursor identity cerebellar tumors generated and Hedgehog‐induced from various early and late medulloblastoma in mice. stage CNS progenitor cells Medulloblastomas derived Study of mouse 5 (2) GSE 7212 from Cxcr6 mutant mice medulloblastoma in response respond to treatment with to inhibitor of Smoothened a Smoothened inhibitor Expression profiles of Identification of distinct classes 10 (3) GSE 9299 mouse medulloblastoma of up‐regulated or down‐ 339 & 340 regulated genes during Hh dependent tumorigenesis Genetic alterations in Identification of differently 10 (4) GSE 6463 mouse medulloblastomas expressed genes among CGNPs 339 & and generation of tumors and CGNPs transfected with 340 from cerebellar granule retroviruses that express nmyc neuron precursors or cyclin‐d1 Patched heterozygous Analysis of granule cell 14 (5) GSE 2426 model of medulloblastoma precursors, pre‐neoplastic cells, GDS1110 and tumor cells 1. Schuller U, Heine VM, Mao J, Kho AT, Dillon AK, Han YG, et al. Acquisition of granule neuron precursor identity is a critical determinant of progenitor cell competence to form Shh‐induced medulloblastoma. Cancer Cell 2008;14:123‐134. 2. Sasai K, Romer JT, Kimura H, Eberhart DE, Rice DS, Curran T. Medulloblastomas derived from Cxcr6 mutant mice respond to treatment with a smoothened inhibitor. Cancer Res 2007;67:3871‐3877. 3. Mao J, Ligon KL, Rakhlin EY, Thayer SP, Bronson RT, Rowitch D, et al. A novel somatic mouse model to survey tumorigenic potential applied to the Hedgehog pathway. Cancer Res 2006;66:10171‐10178. -
Genome-Scale Identification of Transcription Factors That Mediate An
ARTICLE DOI: 10.1038/s41467-018-04406-2 OPEN Genome-scale identification of transcription factors that mediate an inflammatory network during breast cellular transformation Zhe Ji 1,2,4, Lizhi He1, Asaf Rotem1,2,5, Andreas Janzer1,6, Christine S. Cheng2,7, Aviv Regev2,3 & Kevin Struhl 1 Transient activation of Src oncoprotein in non-transformed, breast epithelial cells can initiate an epigenetic switch to the stably transformed state via a positive feedback loop that involves 1234567890():,; the inflammatory transcription factors STAT3 and NF-κB. Here, we develop an experimental and computational pipeline that includes 1) a Bayesian network model (AccessTF) that accurately predicts protein-bound DNA sequence motifs based on chromatin accessibility, and 2) a scoring system (TFScore) that rank-orders transcription factors as candidates for being important for a biological process. Genetic experiments validate TFScore and suggest that more than 40 transcription factors contribute to the oncogenic state in this model. Interestingly, individual depletion of several of these factors results in similar transcriptional profiles, indicating that a complex and interconnected transcriptional network promotes a stable oncogenic state. The combined experimental and computational pipeline represents a general approach to comprehensively identify transcriptional regulators important for a biological process. 1 Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA. 2 Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. 3 Department of Biology, Howard Hughes Medical Institute and David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 20140, USA. 4Present address: Department of Pharmacology and Biomedical Engineering, Northwestern University, Evanston 60611 IL, USA. -
Transcription Factor IRF8 Directs a Silencing Programme for TH17 Cell Differentiation
ARTICLE Received 17 Aug 2010 | Accepted 13 Apr 2011 | Published 17 May 2011 DOI: 10.1038/ncomms1311 Transcription factor IRF8 directs a silencing programme for TH17 cell differentiation Xinshou Ouyang1, Ruihua Zhang1, Jianjun Yang1, Qingshan Li1, Lihui Qin2, Chen Zhu3, Jianguo Liu4, Huan Ning4, Min Sun Shin5, Monica Gupta6, Chen-Feng Qi5, John Cijiang He1, Sergio A. Lira1, Herbert C. Morse III5, Keiko Ozato6, Lloyd Mayer1 & Huabao Xiong1 TH17 cells are recognized as a unique subset of T helper cells that have critical roles in the pathogenesis of autoimmunity and tissue inflammation. Although OR Rγt is necessary for the generation of TH17 cells, the molecular mechanisms underlying the functional diversity of TH17 cells are not fully understood. Here we show that a member of interferon regulatory factor (IRF) family of transcription factors, IRF8, has a critical role in silencing TH17-cell differentiation. Mice with a conventional knockout, as well as a T cell-specific deletion, of the Irf8 gene exhibited more efficient TH17 cells. Indeed, studies of an experimental model of colitis showed that IRF8 deficiency resulted in more severe inflammation with an enhanced TH17 phenotype. IRF8 was induced steadily and inhibited TH17-cell differentiation during TH17 lineage commitment at least in part through its physical interaction with RORγt. These findings define IRF8 as a novel intrinsic transcriptional inhibitor of TH17-cell differentiation. 1 Immunology Institute, Department of Medicine, Mount Sinai School of Medicine, 1 Gustave L. Levy Place, New York, New York 10029, USA. 2 Department of Pathology, Mount Sinai School of Medicine, New York, New York 10029, USA. -
Combinatorial Bzip Dimers Display Complex DNA-Binding Specificity Landscapes
Combinatorial bZIP dimers display complex DNA-binding specificity landscapes The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Rodriguez-Martinez, Jose A et al. “Combinatorial bZIP Dimers Display Complex DNA-Binding Specificity Landscapes.” eLife 6 (2017): n. pag. As Published http://dx.doi.org/10.7554/eLife.19272 Publisher eLife Sciences Publications, Ltd. Version Final published version Citable link http://hdl.handle.net/1721.1/110147 Terms of Use Creative Commons Attribution 4.0 International License Detailed Terms http://creativecommons.org/licenses/by-nc/4.0/ RESEARCH ARTICLE Combinatorial bZIP dimers display complex DNA-binding specificity landscapes Jose´ A Rodrı´guez-Martı´nez1†, Aaron W Reinke2†, Devesh Bhimsaria1,3†, Amy E Keating2,4, Aseem Z Ansari1,5* 1Department of Biochemistry, University of Wisconsin-Madison, Madison, United States; 2Department of Biology, Massachusetts Institute of Technology, Cambridge, United States; 3Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, Unites States; 4Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, United States; 5The Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, United States Abstract How transcription factor dimerization impacts DNA-binding specificity is poorly understood. Guided by protein dimerization properties, we examined DNA binding specificities of 270 human bZIP pairs. DNA interactomes of 80 heterodimers and 22 homodimers revealed that 72% of heterodimer motifs correspond to conjoined half-sites preferred by partnering monomers. Remarkably, the remaining motifs are composed of variably-spaced half-sites (12%) or ‘emergent’ sites (16%) that cannot be readily inferred from half-site preferences of partnering monomers. -
Appendix 2. Significantly Differentially Regulated Genes in Term Compared with Second Trimester Amniotic Fluid Supernatant
Appendix 2. Significantly Differentially Regulated Genes in Term Compared With Second Trimester Amniotic Fluid Supernatant Fold Change in term vs second trimester Amniotic Affymetrix Duplicate Fluid Probe ID probes Symbol Entrez Gene Name 1019.9 217059_at D MUC7 mucin 7, secreted 424.5 211735_x_at D SFTPC surfactant protein C 416.2 206835_at STATH statherin 363.4 214387_x_at D SFTPC surfactant protein C 295.5 205982_x_at D SFTPC surfactant protein C 288.7 1553454_at RPTN repetin solute carrier family 34 (sodium 251.3 204124_at SLC34A2 phosphate), member 2 238.9 206786_at HTN3 histatin 3 161.5 220191_at GKN1 gastrokine 1 152.7 223678_s_at D SFTPA2 surfactant protein A2 130.9 207430_s_at D MSMB microseminoprotein, beta- 99.0 214199_at SFTPD surfactant protein D major histocompatibility complex, class II, 96.5 210982_s_at D HLA-DRA DR alpha 96.5 221133_s_at D CLDN18 claudin 18 94.4 238222_at GKN2 gastrokine 2 93.7 1557961_s_at D LOC100127983 uncharacterized LOC100127983 93.1 229584_at LRRK2 leucine-rich repeat kinase 2 HOXD cluster antisense RNA 1 (non- 88.6 242042_s_at D HOXD-AS1 protein coding) 86.0 205569_at LAMP3 lysosomal-associated membrane protein 3 85.4 232698_at BPIFB2 BPI fold containing family B, member 2 84.4 205979_at SCGB2A1 secretoglobin, family 2A, member 1 84.3 230469_at RTKN2 rhotekin 2 82.2 204130_at HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 81.9 222242_s_at KLK5 kallikrein-related peptidase 5 77.0 237281_at AKAP14 A kinase (PRKA) anchor protein 14 76.7 1553602_at MUCL1 mucin-like 1 76.3 216359_at D MUC7 mucin 7, -
The EWS/ATF1 Fusion Protein Contains a Dispersed Activation Domain That Functions Directly
Oncogene (1998) 16, 1625 ± 1631 1998 Stockton Press All rights reserved 0950 ± 9232/98 $12.00 The EWS/ATF1 fusion protein contains a dispersed activation domain that functions directly Shu Pan, Koh Yee Ming, Theresa A Dunn, Kim KC Li and Kevin AW Lee Department of Biology, Hong Kong University of Science & Technology, Clear Water Bay, Kowloon, Hong Kong, P.R.C. Naturally occurring chromosomal fusion of the Ewings 1994). For all of the above malignancies, the EWS Sarcoma Oncogene (EWS) to distinct cellular transcrip- fusion proteins function as potent transcriptional tion factors, produces aberrant transcriptional activators activators (May et al., 1993b; Ohno et al., 1993; that function as dominant oncogenes. In Malignant Bailly et al., 1994; Brown et al., 1995; Lessnick et al., Melanoma of Soft Parts the N-terminal region of 1995; Fujimura et al., 1996) in a manner that is EWS is fused to C-terminal region of the cAMP- dependent on the EWS N-terminal region, hereafter inducible transcription factor ATF1. The EWS/ATF1 referred to as the EWS Activation Domain (EAD). It is fusion protein binds to ATF sites present in cAMP- envisioned that distinct tumors arise via de-regulation responsive promoters via the ATF1 bZIP domain and of dierent genes, depending on the fusion partner for activates transcription constitutively in a manner that is EWS. In cases where it has been examined, agents that dependent on an activation domain (EAD) present in antagonise EWS-fusion proteins also inhibit cellular EWS. To further de®ne the requirements for trans- proliferation (Ouchida et al., 1995; Kovar et al., 1996; activation we have performed mutational analysis of Yi et al., 1997; Tanaka et al., 1997), indicating that EWS/ATF1 in mammalian cells and report several new EWS fusions can play a role in both tumor formation ®ndings.