The Tumor Suppressor Effect of the Glucocorticoid Receptor in Skin Is Mediated Via Its Effect on Follicular Epithelial Stem Cells
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The Role of Z-Disc Proteins in Myopathy and Cardiomyopathy
International Journal of Molecular Sciences Review The Role of Z-disc Proteins in Myopathy and Cardiomyopathy Kirsty Wadmore 1,†, Amar J. Azad 1,† and Katja Gehmlich 1,2,* 1 Institute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK; [email protected] (K.W.); [email protected] (A.J.A.) 2 Division of Cardiovascular Medicine, Radcliffe Department of Medicine and British Heart Foundation Centre of Research Excellence Oxford, University of Oxford, Oxford OX3 9DU, UK * Correspondence: [email protected]; Tel.: +44-121-414-8259 † These authors contributed equally. Abstract: The Z-disc acts as a protein-rich structure to tether thin filament in the contractile units, the sarcomeres, of striated muscle cells. Proteins found in the Z-disc are integral for maintaining the architecture of the sarcomere. They also enable it to function as a (bio-mechanical) signalling hub. Numerous proteins interact in the Z-disc to facilitate force transduction and intracellular signalling in both cardiac and skeletal muscle. This review will focus on six key Z-disc proteins: α-actinin 2, filamin C, myopalladin, myotilin, telethonin and Z-disc alternatively spliced PDZ-motif (ZASP), which have all been linked to myopathies and cardiomyopathies. We will summarise pathogenic variants identified in the six genes coding for these proteins and look at their involvement in myopathy and cardiomyopathy. Listing the Minor Allele Frequency (MAF) of these variants in the Genome Aggregation Database (GnomAD) version 3.1 will help to critically re-evaluate pathogenicity based on variant frequency in normal population cohorts. -
The N-Cadherin Interactome in Primary Cardiomyocytes As Defined Using Quantitative Proximity Proteomics Yang Li1,*, Chelsea D
© 2019. Published by The Company of Biologists Ltd | Journal of Cell Science (2019) 132, jcs221606. doi:10.1242/jcs.221606 TOOLS AND RESOURCES The N-cadherin interactome in primary cardiomyocytes as defined using quantitative proximity proteomics Yang Li1,*, Chelsea D. Merkel1,*, Xuemei Zeng2, Jonathon A. Heier1, Pamela S. Cantrell2, Mai Sun2, Donna B. Stolz1, Simon C. Watkins1, Nathan A. Yates1,2,3 and Adam V. Kwiatkowski1,‡ ABSTRACT requires multiple adhesion, cytoskeletal and signaling proteins, The junctional complexes that couple cardiomyocytes must transmit and mutations in these proteins can cause cardiomyopathies (Ehler, the mechanical forces of contraction while maintaining adhesive 2018). However, the molecular composition of ICD junctional homeostasis. The adherens junction (AJ) connects the actomyosin complexes remains poorly defined. – networks of neighboring cardiomyocytes and is required for proper The core of the AJ is the cadherin catenin complex (Halbleib and heart function. Yet little is known about the molecular composition of the Nelson, 2006; Ratheesh and Yap, 2012). Classical cadherins are cardiomyocyte AJ or how it is organized to function under mechanical single-pass transmembrane proteins with an extracellular domain that load. Here, we define the architecture, dynamics and proteome of mediates calcium-dependent homotypic interactions. The adhesive the cardiomyocyte AJ. Mouse neonatal cardiomyocytes assemble properties of classical cadherins are driven by the recruitment of stable AJs along intercellular contacts with organizational and cytosolic catenin proteins to the cadherin tail, with p120-catenin β structural hallmarks similar to mature contacts. We combine (CTNND1) binding to the juxta-membrane domain and -catenin β quantitative mass spectrometry with proximity labeling to identify the (CTNNB1) binding to the distal part of the tail. -
Role of S100A8/A9 for Cytokine Secretion, Revealed in Neutrophils Derived from ER-Hoxb8 Progenitors
International Journal of Molecular Sciences Article Role of S100A8/A9 for Cytokine Secretion, Revealed in Neutrophils Derived from ER-Hoxb8 Progenitors Yang Zhou †, Justine Hann †,Véronique Schenten, Sébastien Plançon, Jean-Luc Bueb, Fabrice Tolle ‡ and Sabrina Bréchard *,‡ Department of Life Sciences and Medicine, University of Luxembourg, 6 Avenue du Swing, L-4367 Belvaux, Luxembourg; [email protected] (Y.Z.); [email protected] (J.H.); [email protected] (V.S.); [email protected] (S.P.); [email protected] (J.-L.B.); [email protected] (F.T.) * Correspondence: [email protected]; Tel.: +352-466644-6434 † Both first authors contributed equally to this work. ‡ Both last authors contributed equally to this work. Abstract: S100A9, a Ca2+-binding protein, is tightly associated to neutrophil pro-inflammatory functions when forming a heterodimer with its S100A8 partner. Upon secretion into the extracellular environment, these proteins behave like damage-associated molecular pattern molecules, which actively participate in the amplification of the inflammation process by recruitment and activation of pro-inflammatory cells. Intracellular functions have also been attributed to the S100A8/A9 complex, notably its ability to regulate nicotinamide adenine dinucleotide phosphate (NADPH) oxidase activation. However, the complete functional spectrum of S100A8/A9 at the intracellular level is far from being understood. In this context, we here investigated the possibility that the absence of Citation: Zhou, Y.; Hann, J.; intracellular S100A8/A9 is involved in cytokine secretion. To overcome the difficulty of genetically Schenten, V.; Plançon, S.; Bueb, J.-L.; modifying neutrophils, we used murine neutrophils derived from wild-type and S100A9−/− Hoxb8 Tolle, F.; Bréchard, S. -
Recruitment of Monocytes to the Pre-Ovulatory Ovary Alex Paige Whitaker Eastern Kentucky University
Eastern Kentucky University Encompass Online Theses and Dissertations Student Scholarship January 2016 Recruitment of monocytes to the pre-ovulatory ovary Alex Paige Whitaker Eastern Kentucky University Follow this and additional works at: https://encompass.eku.edu/etd Part of the Biochemistry, Biophysics, and Structural Biology Commons Recommended Citation Whitaker, Alex Paige, "Recruitment of monocytes to the pre-ovulatory ovary" (2016). Online Theses and Dissertations. 445. https://encompass.eku.edu/etd/445 This Open Access Thesis is brought to you for free and open access by the Student Scholarship at Encompass. It has been accepted for inclusion in Online Theses and Dissertations by an authorized administrator of Encompass. For more information, please contact [email protected]. Recruitment of monocytes to the pre-ovulatory ovary By Alex Whitaker Bachelor of Science Eastern Kentucky University Richmond, Kentucky 2013 Submitted to the Faculty of the Graduate School of Eastern Kentucky University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May, 2016 Copyright © Alex Whitaker, 2016 All rights reserved ii DEDICATION This thesis is dedicated to my parents Steve and Debby Whitaker for their unwavering encouragement. iii ACKNOWLEDGEMENTS I would like to thank my mentor, Dr. Oliver R. Oakley, for his support, guidance, and help regarding the completion of this project. If not for the many demonstrations of experimental techniques, reassurance when experiments failed, and stimulating ideas and background knowledge, this research may not have been finished. In addition, I would like to thank the other committee members, Dr. Marcia Pierce and Lindsey Calderon for comments and assistance with writing. -
CDH12 Cadherin 12, Type 2 N-Cadherin 2 RPL5 Ribosomal
5 6 6 5 . 4 2 1 1 1 2 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 A A A A A A A A A A A A A A A A A A A A C C C C C C C C C C C C C C C C C C C C R R R R R R R R R R R R R R R R R R R R B , B B B B B B B B B B B B B B B B B B B , 9 , , , , 4 , , 3 0 , , , , , , , , 6 2 , , 5 , 0 8 6 4 , 7 5 7 0 2 8 9 1 3 3 3 1 1 7 5 0 4 1 4 0 7 1 0 2 0 6 7 8 0 2 5 7 8 0 3 8 5 4 9 0 1 0 8 8 3 5 6 7 4 7 9 5 2 1 1 8 2 2 1 7 9 6 2 1 7 1 1 0 4 5 3 5 8 9 1 0 0 4 2 5 0 8 1 4 1 6 9 0 0 6 3 6 9 1 0 9 0 3 8 1 3 5 6 3 6 0 4 2 6 1 0 1 2 1 9 9 7 9 5 7 1 5 8 9 8 8 2 1 9 9 1 1 1 9 6 9 8 9 7 8 4 5 8 8 6 4 8 1 1 2 8 6 2 7 9 8 3 5 4 3 2 1 7 9 5 3 1 3 2 1 2 9 5 1 1 1 1 1 1 5 9 5 3 2 6 3 4 1 3 1 1 4 1 4 1 7 1 3 4 3 2 7 6 4 2 7 2 1 2 1 5 1 6 3 5 6 1 3 6 4 7 1 6 5 1 1 4 1 6 1 7 6 4 7 e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m -
As Myeloid-Derived Suppressor Cells to the Accumulation of Splenocytes That Act Mice Display Aberrant Myelopoiesis Leading
Mast Cell−deficient KitW-sh ''Sash'' Mutant Mice Display Aberrant Myelopoiesis Leading to the Accumulation of Splenocytes That Act as Myeloid-Derived Suppressor Cells This information is current as of September 24, 2021. Anastasija Michel, Andrea Schüler, Pamela Friedrich, Fatma Döner, Tobias Bopp, Markus Radsak, Markus Hoffmann, Manfred Relle, Ute Distler, Jörg Kuharev, Stefan Tenzer, Thorsten B. Feyerabend, Hans-Reimer Rodewald, Hansjörg Schild, Edgar Schmitt, Marc Becker and Michael Stassen Downloaded from J Immunol 2013; 190:5534-5544; Prepublished online 1 May 2013; doi: 10.4049/jimmunol.1203355 http://www.jimmunol.org/content/190/11/5534 http://www.jimmunol.org/ Supplementary http://www.jimmunol.org/content/suppl/2013/05/01/jimmunol.120335 Material 5.DC1 References This article cites 55 articles, 17 of which you can access for free at: http://www.jimmunol.org/content/190/11/5534.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 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 © 2013 by The American Association of Immunologists, Inc. -
IGFBP5) Reverses Cisplatin-Resistance in Esophageal Carcinoma
cells Article Expression of Insulin-Like Growth Factor Binding Protein-5 (IGFBP5) Reverses Cisplatin-Resistance in Esophageal Carcinoma Dessy Chan 1,†, Yuanyuan Zhou 1,†, Chung Hin Chui 1, Kim Hung Lam 1, Simon Law 2, Albert Sun-chi Chan 3, Xingshu Li 3,*, Alfred King-yin Lam 4,* and Johnny Cheuk On Tang 1,* 1 State Key Laboratory of Chemical Biology and Drug Discovery, Lo Ka Chung Centre for Natural Anti-cancer Drug Development, Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China; [email protected] (D.C.); [email protected] (Y.Z.); [email protected] (C.H.C.), [email protected] (K.H.L.) 2 Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; [email protected] 3 School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China; [email protected] 4 Griffith Medical School, Griffith University, Gold Coast, QLD 4222, Australia * Correspondence: [email protected] (X.L.); A.Lam@griffith.edu.au (A.K.L.); [email protected] (J.C.O.T.); Tel.: +852-3400-8727 (J.C.O.T.) † These authors contributed equally to this work. Received: 3 September 2018; Accepted: 16 September 2018; Published: 20 September 2018 Abstract: Cisplatin (CDDP) is one of the front-line chemotherapeutic drugs used in the treatment of esophageal squamous cell carcinoma (ESCC). Occurrence of resistance to CDDP has become one of the main challenges in cancer therapy. In this study, the gene expression profile of CDDP-resistant ESCC cells was investigated and molecular approaches were explored in an attempt to reverse the CDDP resistance. -
The Oestrogen Receptor Alpha-Regulated Lncrna NEAT1 Is a Critical Modulator of Prostate Cancer
ARTICLE Received 5 Dec 2013 | Accepted 26 Sep 2014 | Published 21 Nov 2014 DOI: 10.1038/ncomms6383 OPEN The oestrogen receptor alpha-regulated lncRNA NEAT1 is a critical modulator of prostate cancer Dimple Chakravarty1,2, Andrea Sboner1,2,3, Sujit S. Nair4, Eugenia Giannopoulou5,6, Ruohan Li7, Sven Hennig8, Juan Miguel Mosquera1,2, Jonathan Pauwels1, Kyung Park1, Myriam Kossai1,2, Theresa Y. MacDonald1, Jacqueline Fontugne1,2, Nicholas Erho9, Ismael A. Vergara9, Mercedeh Ghadessi9, Elai Davicioni9, Robert B. Jenkins10, Nallasivam Palanisamy11,12, Zhengming Chen13, Shinichi Nakagawa14, Tetsuro Hirose15, Neil H. Bander16, Himisha Beltran1,2, Archa H. Fox7, Olivier Elemento2,3 & Mark A. Rubin1,2 The androgen receptor (AR) plays a central role in establishing an oncogenic cascade that drives prostate cancer progression. Some prostate cancers escape androgen dependence and are often associated with an aggressive phenotype. The oestrogen receptor alpha (ERa)is expressed in prostate cancers, independent of AR status. However, the role of ERa remains elusive. Using a combination of chromatin immunoprecipitation (ChIP) and RNA-sequencing data, we identified an ERa-specific non-coding transcriptome signature. Among putatively ERa-regulated intergenic long non-coding RNAs (lncRNAs), we identified nuclear enriched abundant transcript 1 (NEAT1) as the most significantly overexpressed lncRNA in prostate cancer. Analysis of two large clinical cohorts also revealed that NEAT1 expression is asso- ciated with prostate cancer progression. Prostate cancer cells expressing high levels of NEAT1 were recalcitrant to androgen or AR antagonists. Finally, we provide evidence that NEAT1 drives oncogenic growth by altering the epigenetic landscape of target gene promoters to favour transcription. 1 Department of Pathology and Laboratory Medicine, Weill Medical College of Cornell University, 413 East 69th Street, Room 1402, New York, New York 10021, USA. -
Lithium Chloride Corrects Weakness and Myopathology in a Preclinical Model of LGMD1D
ARTICLE OPEN ACCESS Lithium chloride corrects weakness and myopathology in a preclinical model of LGMD1D Andrew R. Findlay, MD,* Rocio Bengoechea, PhD,* Sara K. Pittman, BS, Tsui-Fen Chou, PhD, Correspondence Heather L. True, PhD, and Conrad C. Weihl, MD, PhD Dr. Findlay [email protected] Neurol Genet 2019;5:e318. doi:10.1212/NXG.0000000000000318 Abstract Objective To understand DNAJB6’s function in skeletal muscle and identify therapeutic targets for limb- girdle muscular dystrophy 1D (LGMD1D). Methods DNAJB6 knockout (KO) myoblasts were generated with Crispr/cas9 technology, and differ- entially accumulated proteins were identified using stable isotope labeling, followed by quan- titative mass spectrometry. Cultured KO myotubes and mouse muscle from DNAJB6b-WT or DNAJB6b-F93L mice were analyzed using histochemistry, immunohistochemistry, and im- munoblot. Mouse functional strength measures included forelimb grip strength and inverted wire hang. Results DNAJB6 inactivation leads to the accumulation of sarcomeric proteins and hypertrophic myotubes with an enhanced fusion index. The increased fusion in DNAJB6 KO myotubes correlates with diminished glycogen synthase kinase-β (GSK3β) activity. In contrast, LGMD1D mutations in DNAJB6 enhance GSK3β activation and suppress β-catenin and NFAT3c signaling. GSK3β inhibition with lithium chloride improves muscle size and strength in an LGMD1D preclinical mouse model. Conclusions Our results suggest that DNAJB6 facilitates protein quality control and negatively regulates myogenic signaling. In addition, LGMD1D-associated DNAJB6 mutations inhibit myogenic signaling through augmented GSK3β activity. GSK3β inhibition with lithium chloride may be a therapeutic option in LGMD1D. *These authors contributed equally to the manuscript. From the Washington University School of Medicine (A.R.F., R.B., S.K.P., H.L.T., C.C.W); Department of Neurology (A.R.F., R.B., S.K.P., C.C.W), Hope Center for Neurological Diseases, St. -
Suppressor of Cytokine Signaling-1 Peptidomimetic Limits Progression of Diabetic Nephropathy
BASIC RESEARCH www.jasn.org Suppressor of Cytokine Signaling-1 Peptidomimetic Limits Progression of Diabetic Nephropathy †‡ † †‡ † † Carlota Recio,* Iolanda Lazaro,* Ainhoa Oguiza,* Laura Lopez-Sanz,* Susana Bernal,* †‡ †‡ Julia Blanco,§ Jesus Egido, and Carmen Gomez-Guerrero* *Renal and Vascular Inflammation Group and †Division of Nephrology and Hypertension, Fundacion Jimenez Diaz University Hospital-Health Research Institute, Autonoma University of Madrid; ‡Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders; and §Department of Pathology, Hospital Clinico San Carlos, Madrid, Spain ABSTRACT Diabetes is the main cause of CKD and ESRD worldwide. Chronic activation of Janus kinase and signal transducer and activator of transcription (STAT) signaling contributes to diabetic nephropathy by inducing genes involved in leukocyte infiltration, cell proliferation, and extracellular matrix accumulation. This study examined whether a cell-permeable peptide mimicking the kinase-inhibitory region of suppressor of cy- tokine signaling-1 (SOCS1) regulatory protein protects against nephropathy by suppressing STAT-mediated cell responses to diabetic conditions. In a mouse model combining hyperglycemia and hypercholesterolemia (streptozotocin diabetic, apoE-deficient mice), renal STAT activation status correlated with the severity of nephropathy. Notably, compared with administration of vehicle or mutant inactive peptide, administration of the SOCS1 peptidomimetic at either early or advanced stages of diabetes ameliorated STAT activity and resulted in reduced serum creatinine level, albuminuria, and renal histologic changes (mesangial expansion, tubular injury, and fibrosis) over time. Mice treated with the SOCS1 peptidomimetic also exhibited reduced kidney leukocyte recruitment (T lymphocytes and classic M1 proinflammatory macrophages) and decreased expression levels of proinflammatory and profibrotic markers that were independent of glycemic and lipid changes. -
Identification of Differentially Expressed Genes in Human Bladder Cancer Through Genome-Wide Gene Expression Profiling
521-531 24/7/06 18:28 Page 521 ONCOLOGY REPORTS 16: 521-531, 2006 521 Identification of differentially expressed genes in human bladder cancer through genome-wide gene expression profiling KAZUMORI KAWAKAMI1,3, HIDEKI ENOKIDA1, TOKUSHI TACHIWADA1, TAKENARI GOTANDA1, KENGO TSUNEYOSHI1, HIROYUKI KUBO1, KENRYU NISHIYAMA1, MASAKI TAKIGUCHI2, MASAYUKI NAKAGAWA1 and NAOHIKO SEKI3 1Department of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima 890-8520; Departments of 2Biochemistry and Genetics, and 3Functional Genomics, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan Received February 15, 2006; Accepted April 27, 2006 Abstract. Large-scale gene expression profiling is an effective CKS2 gene not only as a potential biomarker for diagnosing, strategy for understanding the progression of bladder cancer but also for staging human BC. This is the first report (BC). The aim of this study was to identify genes that are demonstrating that CKS2 expression is strongly correlated expressed differently in the course of BC progression and to with the progression of human BC. establish new biomarkers for BC. Specimens from 21 patients with pathologically confirmed superficial (n=10) or Introduction invasive (n=11) BC and 4 normal bladder samples were studied; samples from 14 of the 21 BC samples were subjected Bladder cancer (BC) is among the 5 most common to microarray analysis. The validity of the microarray results malignancies worldwide, and the 2nd most common tumor of was verified by real-time RT-PCR. Of the 136 up-regulated the genitourinary tract and the 2nd most common cause of genes we detected, 21 were present in all 14 BCs examined death in patients with cancer of the urinary tract (1-7). -
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 ........................................................................................