Eda-Activated Relb Recruits an SWI/SNF (BAF) Chromatin-Remodeling Complex and Initiates Gene Transcription in Skin Appendage Formation
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THE ROLE of HOMEODOMAIN TRANSCRIPTION FACTOR IRX5 in CARDIAC CONTRACTILITY and HYPERTROPHIC RESPONSE by © COPYRIGHT by KYOUNG H
THE ROLE OF HOMEODOMAIN TRANSCRIPTION FACTOR IRX5 IN CARDIAC CONTRACTILITY AND HYPERTROPHIC RESPONSE By KYOUNG HAN KIM A THESIS SUBMITTED IN CONFORMITY WITH THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY GRADUATE DEPARTMENT OF PHYSIOLOGY UNIVERSITY OF TORONTO © COPYRIGHT BY KYOUNG HAN KIM (2011) THE ROLE OF HOMEODOMAIN TRANSCRIPTION FACTOR IRX5 IN CARDIAC CONTRACTILITY AND HYPERTROPHIC RESPONSE KYOUNG HAN KIM DOCTOR OF PHILOSOPHY GRADUATE DEPARTMENT OF PHYSIOLOGY UNIVERSITY OF TORONTO 2011 ABSTRACT Irx5 is a homeodomain transcription factor that negatively regulates cardiac fast transient + outward K currents (Ito,f) via the KV4.2 gene and is thereby a major determinant of the transmural repolarization gradient. While Ito,f is invariably reduced in heart disease and changes in Ito,f can modulate both cardiac contractility and hypertrophy, less is known about a functional role of Irx5, and its relationship with Ito,f, in the normal and diseased heart. Here I show that Irx5 plays crucial roles in the regulation of cardiac contractility and proper adaptive hypertrophy. Specifically, Irx5-deficient (Irx5-/-) hearts had reduced cardiac contractility and lacked the normal regional difference in excitation-contraction with decreased action potential duration, Ca2+ transients and myocyte shortening in sub-endocardial, but not sub-epicardial, myocytes. In addition, Irx5-/- mice showed less cardiac hypertrophy, but increased interstitial fibrosis and greater contractility impairment following pressure overload. A defect in hypertrophic responses in Irx5-/- myocardium was confirmed in cultured neonatal mouse ventricular myocytes, exposed to norepinephrine while being restored with Irx5 replacement. Interestingly, studies using mice ii -/- virtually lacking Ito,f (i.e. KV4.2-deficient) showed that reduced contractility in Irx5 mice was completely restored by loss of KV4.2, whereas hypertrophic responses to pressure-overload in hearts remained impaired when both Irx5 and Ito,f were absent. -
Relb Deficiency in Dendritic Cells Protects from Autoimmune
RelB Deficiency in Dendritic Cells Protects from Autoimmune Inflammation Due to Spontaneous Accumulation of Tissue T Regulatory Cells This information is current as of September 24, 2021. Nico Andreas, Maria Potthast, Anna-Lena Geiselhöringer, Garima Garg, Renske de Jong, Julia Riewaldt, Dennis Russkamp, Marc Riemann, Jean-Philippe Girard, Simon Blank, Karsten Kretschmer, Carsten Schmidt-Weber, Thomas Korn, Falk Weih and Caspar Ohnmacht Downloaded from J Immunol 2019; 203:2602-2613; Prepublished online 2 October 2019; doi: 10.4049/jimmunol.1801530 http://www.jimmunol.org/content/203/10/2602 http://www.jimmunol.org/ Supplementary http://www.jimmunol.org/content/suppl/2019/10/01/jimmunol.180153 Material 0.DCSupplemental References This article cites 74 articles, 23 of which you can access for free at: http://www.jimmunol.org/content/203/10/2602.full#ref-list-1 by guest on September 24, 2021 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 *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 Author Choice Freely available online through The Journal of Immunology Author Choice option 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. -
Dimerization of Ltβr by Ltα1β2 Is Necessary and Sufficient for Signal
Dimerization of LTβRbyLTα1β2 is necessary and sufficient for signal transduction Jawahar Sudhamsua,1, JianPing Yina,1, Eugene Y. Chiangb, Melissa A. Starovasnika, Jane L. Groganb,2, and Sarah G. Hymowitza,2 Departments of aStructural Biology and bImmunology, Genentech, Inc., South San Francisco, CA 94080 Edited by K. Christopher Garcia, Stanford University, Stanford, CA, and approved October 24, 2013 (received for review June 6, 2013) Homotrimeric TNF superfamily ligands signal by inducing trimers survival in a xenogeneic human T-cell–dependent mouse model of of their cognate receptors. As a biologically active heterotrimer, graft-versus-host disease (GVHD) (11). Lymphotoxin(LT)α1β2 is unique in the TNF superfamily. How the TNFRSF members are typically activated by TNFSF-induced three unique potential receptor-binding interfaces in LTα1β2 trig- trimerization or higher order oligomerization, resulting in initiation ger signaling via LTβ Receptor (LTβR) resulting in lymphoid organ- of intracellular signaling processes including the canonical and ogenesis and propagation of inflammatory signals is poorly noncanonical NF-κB pathways (2, 3). Ligand–receptor interactions α β understood. Here we show that LT 1 2 possesses two binding induce higher order assemblies formed between adaptor motifs in sites for LTβR with distinct affinities and that dimerization of LTβR the cytoplasmic regions of the receptors such as death domains or α β fi by LT 1 2 is necessary and suf cient for signal transduction. The TRAF-binding motifs and downstream signaling components such α β β crystal structure of a complex formed by LT 1 2,LT R, and the fab as Fas-associated protein with death domain (FADD), TNFR1- fragment of an antibody that blocks LTβR activation reveals the associated protein with death domain (TRADD), and TNFR-as- lower affinity receptor-binding site. -
OSCAR Is a Receptor for Surfactant Protein D That Activates TNF- Α Release from Human CCR2 + Inflammatory Monocytes
OSCAR Is a Receptor for Surfactant Protein D That Activates TNF- α Release from Human CCR2 + Inflammatory Monocytes This information is current as Alexander D. Barrow, Yaseelan Palarasah, Mattia Bugatti, of September 25, 2021. Alex S. Holehouse, Derek E. Byers, Michael J. Holtzman, William Vermi, Karsten Skjødt, Erika Crouch and Marco Colonna J Immunol 2015; 194:3317-3326; Prepublished online 25 February 2015; Downloaded from doi: 10.4049/jimmunol.1402289 http://www.jimmunol.org/content/194/7/3317 Supplementary http://www.jimmunol.org/content/suppl/2015/02/24/jimmunol.140228 http://www.jimmunol.org/ Material 9.DCSupplemental References This article cites 40 articles, 10 of which you can access for free at: http://www.jimmunol.org/content/194/7/3317.full#ref-list-1 Why The JI? Submit online. by guest on September 25, 2021 • 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 *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 © 2015 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology OSCAR Is a Receptor for Surfactant Protein D That Activates TNF-a Release from Human CCR2+ Inflammatory Monocytes Alexander D. -
Off the Beaten Pathway: the Complex Cross Talk Between Notch and NF-Kb Clodia Osipo1,2, Todd E Golde3, Barbara a Osborne4 and Lucio a Miele1,2,5
Laboratory Investigation (2008) 88, 11–17 & 2008 USCAP, Inc All rights reserved 0023-6837/08 $30.00 PATHOBIOLOGY IN FOCUS Off the beaten pathway: the complex cross talk between Notch and NF-kB Clodia Osipo1,2, Todd E Golde3, Barbara A Osborne4 and Lucio A Miele1,2,5 The canonical Notch pathway that has been well characterized over the past 25 years is relatively simple compared to the plethora of recently published data suggesting non-canonical signaling mechanisms and cross talk with other pathways. The manner in which other pathways cross talk with Notch signaling appears to be extraordinarily complex and, not surprisingly, context-dependent. While the physiological relevance of many of these interactions remains to be estab- lished, there is little doubt that Notch signaling is integrated with numerous other pathways in ways that appear increasingly complex. Among the most intricate cross talks described for Notch is its interaction with the NF-kB pathway, another major cell fate regulatory network involved in development, immunity, and cancer. Numerous reports over the last 11 years have described multiple cross talk mechanisms between Notch and NF-kB in diverse experimental models. This article will provide a brief overview of the published evidence for Notch–NF-kB cross talk, focusing on vertebrate systems. Laboratory Investigation (2008) 88, 11–17; doi:10.1038/labinvest.3700700; published online 3 December 2007 KEYWORDS: Notch signaling; NF-kB cross talk; non-canonical signaling; IKK kinases CANONICAL NOTCH SIGNALING endocytosed into the ligand-expressing cell.10 This unmasks Canonical Notch signaling has been recently reviewed by the HD and triggers an extracellular cleavage in it by ADAM several authors,1–6 and the reader is referred to these reviews (a disintegrin and metalloproteinase) 10 or 17,1,2 followed by for detailed information and additional references. -
1714 Gene Comprehensive Cancer Panel Enriched for Clinically Actionable Genes with Additional Biologically Relevant Genes 400-500X Average Coverage on Tumor
xO GENE PANEL 1714 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes 400-500x average coverage on tumor Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 HOXA11 IL6R KAT5 ACVR2A -
Autoimmune-Mediated Thymic Atrophy Is Accelerated but Reversible in Relb-Deficient Mice
ORIGINAL RESEARCH published: 22 May 2018 doi: 10.3389/fimmu.2018.01092 Autoimmune-Mediated Thymic Atrophy Is Accelerated but reversible in relB-Deficient Mice Brendan J. O’Sullivan1, Suman Yekollu1, Roland Ruscher1, Ahmed M. Mehdi1, Muralidhara Rao Maradana1, Ann P. Chidgey 2 and Ranjeny Thomas1* 1 Diamantina Institute, Translational Research Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, QLD, Australia, 2 Stem Cells and Immune Regeneration Laboratory, Department of Anatomy and Developmental Biology, Monash University, Clayton, VIC, Australia Polymorphisms impacting thymic function may decrease peripheral tolerance and hasten autoimmune disease. The NF-κB transcription factor subunit, RelB, is essential for the development and differentiation of medullary thymic epithelial cells (mTECs): RelB-deficient mice have reduced thymic cellularity and markedly fewer mTECs, lack- ing AIRE. The precise mechanism of this mTEC reduction in the absence of RelB is Edited by: unclear. To address this, we studied mTECs and dendritic cells (DCs), which critically Antony Basten, regulate negative selection, and thymic regulatory T-cells (tTreg) in RelB−/− mice, which Garvan Institute of Medical / Research, Australia have spontaneous multiorgan autoimmune disease. RelB− − thymi were organized, with − + Reviewed by: medullary structures containing AIRE mTECs, DCs, and CD4 thymocytes, but fewer Mitsuru Matsumoto, tTreg. Granulocytes infiltrated the RelB−/− thymic cortex, capsule, and medulla, producing Tokushima University, Japan inflammatory thymic medullary atrophy, which could be treated by granulocyte depletion Lianjun Zhang, or RelB+ DC immunotherapy, with concomitant recovery of mTEC and tTreg numbers. Université de Lausanne, These data indicate that central tolerance defects may be accelerated by autoimmune Switzerland thymic inflammation where impaired RelB signaling impairs the medullary niche, and may *Correspondence: Ranjeny Thomas be reversible by therapies enhancing peripheral Treg or suppressing inflammation. -
Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients with Stable Coronary Heart Disease
Supplementary Online Content Ganz P, Heidecker B, Hveem K, et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA. doi: 10.1001/jama.2016.5951 eTable 1. List of 1130 Proteins Measured by Somalogic’s Modified Aptamer-Based Proteomic Assay eTable 2. Coefficients for Weibull Recalibration Model Applied to 9-Protein Model eFigure 1. Median Protein Levels in Derivation and Validation Cohort eTable 3. Coefficients for the Recalibration Model Applied to Refit Framingham eFigure 2. Calibration Plots for the Refit Framingham Model eTable 4. List of 200 Proteins Associated With the Risk of MI, Stroke, Heart Failure, and Death eFigure 3. Hazard Ratios of Lasso Selected Proteins for Primary End Point of MI, Stroke, Heart Failure, and Death eFigure 4. 9-Protein Prognostic Model Hazard Ratios Adjusted for Framingham Variables eFigure 5. 9-Protein Risk Scores by Event Type This supplementary material has been provided by the authors to give readers additional information about their work. Downloaded From: https://jamanetwork.com/ on 10/02/2021 Supplemental Material Table of Contents 1 Study Design and Data Processing ......................................................................................................... 3 2 Table of 1130 Proteins Measured .......................................................................................................... 4 3 Variable Selection and Statistical Modeling ........................................................................................ -
Effect of Tnfα Stimulation on Expression of Kidney Risk
www.nature.com/scientificreports OPEN Efect of TNFα stimulation on expression of kidney risk infammatory proteins in human umbilical vein endothelial cells cultured in hyperglycemia Zaipul I. Md Dom1,2, Caterina Pipino1,2,3, Bozena Krolewski1,2, Kristina O’Neil1, Eiichiro Satake1,2 & Andrzej S. Krolewski1,2,4* We recently identifed a kidney risk infammatory signature (KRIS), comprising 6 TNF receptors (including TNFR1 and TNFR2) and 11 infammatory proteins. Elevated levels of these proteins in circulation were strongly associated with risk of the development of end-stage kidney disease (ESKD) during 10-year follow-up. It has been hypothesized that elevated levels of these proteins in circulation might refect (be markers of) systemic exposure to TNFα. In this in vitro study, we examined intracellular and extracellular levels of these proteins in human umbilical vein endothelial cells (HUVECs) exposed to TNFα in the presence of hyperglycemia. KRIS proteins as well as 1300 other proteins were measured using the SOMAscan proteomics platform. Four KRIS proteins (including TNFR1) were down-regulated and only 1 protein (IL18R1) was up-regulated in the extracellular fraction of TNFα-stimulated HUVECs. In the intracellular fraction, one KRIS protein was down- regulated (CCL14) and 1 protein was up-regulated (IL18R1). The levels of other KRIS proteins were not afected by exposure to TNFα. HUVECs exposed to a hyperglycemic and infammatory environment also showed signifcant up-regulation of a distinct set of 53 proteins (mainly in extracellular fraction). In our previous study, circulating levels of these proteins were not associated with progression to ESKD in diabetes. Tumor necrosis factor alpha (TNFα) is a potent pro-infammatory cytokine that exerts its pleiotropic efects on a wide variety of cell types and plays a vital role in the pathogenesis of infammatory diseases 1,2. -
Detecting Global in Uence of Transcription Factor Interactions On
Detecting Global Inuence of Transcription Factor Interactions on Gene Expression in Lymphoblastoid Cells Using Neural Network Models. Neel Patel Case Western Reserve University https://orcid.org/0000-0001-9953-6734 William S. Bush ( [email protected] ) Case Western Reserve University https://orcid.org/0000-0002-9729-6519 Research Keywords: Transcription factors, Gene expression, Machine learning, Neural network, Chromatin-looping, Regulatory module, Multi-omics. Posted Date: August 3rd, 2021 DOI: https://doi.org/10.21203/rs.3.rs-406028/v2 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Detecting global influence of transcription factor interactions on gene expression in lymphoblastoid cells using neural network models. Neel Patel1,2 and William S. Bush2* 1Department of Nutrition, Case Western Reserve University, Cleveland, OH, USA. 2Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.*-corresponding author(email:[email protected]) Abstract Background Transcription factor(TF) interactions are known to regulate gene expression in eukaryotes via TF regulatory modules(TRMs). Such interactions can be formed due to co-localizing TFs binding proximally to each other in the DNA sequence or between distally binding TFs via long distance chromatin looping. While the former type of interaction has been characterized extensively, long distance TF interactions are still largely understudied. Furthermore, most prior approaches have focused on characterizing physical TF interactions without accounting for their effects on gene expression regulation. Understanding how TRMs influence gene expression regulation could aid in identifying diseases caused by disruptions to these mechanisms. In this paper, we present a novel neural network based approach to detect TRM in the GM12878 immortalized lymphoblastoid cell line. -
Supplementary Table 1
Supplementary Table 1. 492 genes are unique to 0 h post-heat timepoint. The name, p-value, fold change, location and family of each gene are indicated. Genes were filtered for an absolute value log2 ration 1.5 and a significance value of p ≤ 0.05. Symbol p-value Log Gene Name Location Family Ratio ABCA13 1.87E-02 3.292 ATP-binding cassette, sub-family unknown transporter A (ABC1), member 13 ABCB1 1.93E-02 −1.819 ATP-binding cassette, sub-family Plasma transporter B (MDR/TAP), member 1 Membrane ABCC3 2.83E-02 2.016 ATP-binding cassette, sub-family Plasma transporter C (CFTR/MRP), member 3 Membrane ABHD6 7.79E-03 −2.717 abhydrolase domain containing 6 Cytoplasm enzyme ACAT1 4.10E-02 3.009 acetyl-CoA acetyltransferase 1 Cytoplasm enzyme ACBD4 2.66E-03 1.722 acyl-CoA binding domain unknown other containing 4 ACSL5 1.86E-02 −2.876 acyl-CoA synthetase long-chain Cytoplasm enzyme family member 5 ADAM23 3.33E-02 −3.008 ADAM metallopeptidase domain Plasma peptidase 23 Membrane ADAM29 5.58E-03 3.463 ADAM metallopeptidase domain Plasma peptidase 29 Membrane ADAMTS17 2.67E-04 3.051 ADAM metallopeptidase with Extracellular other thrombospondin type 1 motif, 17 Space ADCYAP1R1 1.20E-02 1.848 adenylate cyclase activating Plasma G-protein polypeptide 1 (pituitary) receptor Membrane coupled type I receptor ADH6 (includes 4.02E-02 −1.845 alcohol dehydrogenase 6 (class Cytoplasm enzyme EG:130) V) AHSA2 1.54E-04 −1.6 AHA1, activator of heat shock unknown other 90kDa protein ATPase homolog 2 (yeast) AK5 3.32E-02 1.658 adenylate kinase 5 Cytoplasm kinase AK7 -
Transcriptional Regulation of Dental Epithelial Cell Fate
UCSF UC San Francisco Previously Published Works Title Transcriptional Regulation of Dental Epithelial Cell Fate. Permalink https://escholarship.org/uc/item/29k538wb Journal International journal of molecular sciences, 21(23) ISSN 1422-0067 Authors Yoshizaki, Keigo Fukumoto, Satoshi Bikle, Daniel D et al. Publication Date 2020-11-25 DOI 10.3390/ijms21238952 Peer reviewed eScholarship.org Powered by the California Digital Library University of California International Journal of Molecular Sciences Review Transcriptional Regulation of Dental Epithelial Cell Fate Keigo Yoshizaki 1, Satoshi Fukumoto 2,3, Daniel D. Bikle 4 and Yuko Oda 4,* 1 Section of Orthodontics and Dentofacial Orthopedics, Division of Oral Health, Growth and Development, Kyushu University Faculty of Dental Science, Fukuoka 812-8582, Japan; [email protected] 2 Section of Pediatric Dentistry, Division of Oral Health, Growth and Development, Kyushu University Faculty of Dental Science, Fukuoka 812-8582, Japan; [email protected] 3 Division of Pediatric Dentistry, Department of Oral Health and Development Sciences, Tohoku University Graduate School of Dentistry, Sendai 980-8575, Japan 4 Departments of Medicine and Endocrinology, University of California San Francisco and Veterans Affairs Medical Center, San Francisco, CA 94158, USA; [email protected] * Correspondence: [email protected] Received: 8 October 2020; Accepted: 12 November 2020; Published: 25 November 2020 Abstract: Dental enamel is hardest tissue in the body and is produced by dental epithelial cells residing in the tooth. Their cell fates are tightly controlled by transcriptional programs that are facilitated by fate determining transcription factors and chromatin regulators. Understanding the transcriptional program controlling dental cell fate is critical for our efforts to build and repair teeth.