Nanoscale Coupling of Junctophilin-2 and Ryanodine Receptors Regulates Vascular Smooth Muscle Cell Contractility
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Cooperativity of Imprinted Genes Inactivated by Acquired Chromosome 20Q Deletions
Cooperativity of imprinted genes inactivated by acquired chromosome 20q deletions Athar Aziz, … , Anne C. Ferguson-Smith, Anthony R. Green J Clin Invest. 2013;123(5):2169-2182. https://doi.org/10.1172/JCI66113. Research Article Oncology Large regions of recurrent genomic loss are common in cancers; however, with a few well-characterized exceptions, how they contribute to tumor pathogenesis remains largely obscure. Here we identified primate-restricted imprinting of a gene cluster on chromosome 20 in the region commonly deleted in chronic myeloid malignancies. We showed that a single heterozygous 20q deletion consistently resulted in the complete loss of expression of the imprinted genes L3MBTL1 and SGK2, indicative of a pathogenetic role for loss of the active paternally inherited locus. Concomitant loss of both L3MBTL1 and SGK2 dysregulated erythropoiesis and megakaryopoiesis, 2 lineages commonly affected in chronic myeloid malignancies, with distinct consequences in each lineage. We demonstrated that L3MBTL1 and SGK2 collaborated in the transcriptional regulation of MYC by influencing different aspects of chromatin structure. L3MBTL1 is known to regulate nucleosomal compaction, and we here showed that SGK2 inactivated BRG1, a key ATP-dependent helicase within the SWI/SNF complex that regulates nucleosomal positioning. These results demonstrate a link between an imprinted gene cluster and malignancy, reveal a new pathogenetic mechanism associated with acquired regions of genomic loss, and underline the complex molecular and cellular consequences of “simple” cancer-associated chromosome deletions. Find the latest version: https://jci.me/66113/pdf Research article Cooperativity of imprinted genes inactivated by acquired chromosome 20q deletions Athar Aziz,1,2 E. Joanna Baxter,1,2,3 Carol Edwards,4 Clara Yujing Cheong,5 Mitsuteru Ito,4 Anthony Bench,3 Rebecca Kelley,1,2 Yvonne Silber,1,2 Philip A. -
Age-Dependent Myocardial Transcriptomic Changes in the Rat
Revista Română de Medicină de Laborator Vol. 22, Nr. 1, Martie, 2014 9 Research article DOI: 10.2478/rrlm-2014-0001 Age-dependent myocardial transcriptomic changes in the rat. Novel insights into atrial and ventricular arrhythmias pathogenesis Modificări transcriptomice dependente de vârstă în miocardul de șobolan. Noi aspecte referitoare la patogeneza aritmiilor atriale și ventriculare Alina Scridon1,2, Emmanuelle Fouilloux-Meugnier3, Emmanuelle Loizon3, Marcel Perian1, Sophie Rome3, Claude Julien2, Christian Barrès2, Philippe Chevalier2,4 1.Physiology Department, University of Medicine and Pharmacy of Tîrgu Mureș, 540139, Tîrgu Mureș, Romania 2. Unité de Neurocardiologie, EA4612, Université Lyon 1, F-69008, Lyon, France 3. Unité 1060 INSERM CarMen, Université Lyon 1, F-69008, Lyon, France 4. Hospices Civils de Lyon, Hôpital Louis Pradel, Service de Rythmologie, 69500, Bron, France Abstract Background: Aging is associated with significantly increased prevalence of cardiac arrhythmias, but tran- scriptional events that underlie this process remain to be established. To gain deeper insight into molecular mech- anisms of aging-related cardiac arrhythmias, we performed mRNA expression analysis comparing atrial and ven- tricular myocardium from Wistar-Kyoto (WKY) rats of different ages. Methods: Atrial and ventricular sampling was performed in 3 groups (n=4 each) of young (14-week-old), adult (25-week-old), and aging (47-week-old) WKY rats. mRNA expressions of 89 genes involved in cardiac arrhythmogenicity were investigated using TaqMan Low Density Array analysis. Results: Of the 89 studied genes, 40 and 64 genes presented steady atrial and ventricu- lar expressions, respectively. All genes differentially expressed within the atria of WKY rats were up-regulated with advancing age, mainly the genes encoding for various K+, Ca2+, Na+ channels, and type 6 collagen. -
Supplementary Table S1. Upregulated Genes Differentially
Supplementary Table S1. Upregulated genes differentially expressed in athletes (p < 0.05 and 1.3-fold change) Gene Symbol p Value Fold Change 221051_s_at NMRK2 0.01 2.38 236518_at CCDC183 0.00 2.05 218804_at ANO1 0.00 2.05 234675_x_at 0.01 2.02 207076_s_at ASS1 0.00 1.85 209135_at ASPH 0.02 1.81 228434_at BTNL9 0.03 1.81 229985_at BTNL9 0.01 1.79 215795_at MYH7B 0.01 1.78 217979_at TSPAN13 0.01 1.77 230992_at BTNL9 0.01 1.75 226884_at LRRN1 0.03 1.74 220039_s_at CDKAL1 0.01 1.73 236520_at 0.02 1.72 219895_at TMEM255A 0.04 1.72 201030_x_at LDHB 0.00 1.69 233824_at 0.00 1.69 232257_s_at 0.05 1.67 236359_at SCN4B 0.04 1.64 242868_at 0.00 1.63 1557286_at 0.01 1.63 202780_at OXCT1 0.01 1.63 1556542_a_at 0.04 1.63 209992_at PFKFB2 0.04 1.63 205247_at NOTCH4 0.01 1.62 1554182_at TRIM73///TRIM74 0.00 1.61 232892_at MIR1-1HG 0.02 1.61 204726_at CDH13 0.01 1.6 1561167_at 0.01 1.6 1565821_at 0.01 1.6 210169_at SEC14L5 0.01 1.6 236963_at 0.02 1.6 1552880_at SEC16B 0.02 1.6 235228_at CCDC85A 0.02 1.6 1568623_a_at SLC35E4 0.00 1.59 204844_at ENPEP 0.00 1.59 1552256_a_at SCARB1 0.02 1.59 1557283_a_at ZNF519 0.02 1.59 1557293_at LINC00969 0.03 1.59 231644_at 0.01 1.58 228115_at GAREM1 0.01 1.58 223687_s_at LY6K 0.02 1.58 231779_at IRAK2 0.03 1.58 243332_at LOC105379610 0.04 1.58 232118_at 0.01 1.57 203423_at RBP1 0.02 1.57 AMY1A///AMY1B///AMY1C///AMY2A///AMY2B// 208498_s_at 0.03 1.57 /AMYP1 237154_at LOC101930114 0.00 1.56 1559691_at 0.01 1.56 243481_at RHOJ 0.03 1.56 238834_at MYLK3 0.01 1.55 213438_at NFASC 0.02 1.55 242290_at TACC1 0.04 1.55 ANKRD20A1///ANKRD20A12P///ANKRD20A2/// -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Emerging Roles for Multifunctional Ion Channel Auxiliary Subunits in Cancer T ⁎ Alexander S
Cell Calcium 80 (2019) 125–140 Contents lists available at ScienceDirect Cell Calcium journal homepage: www.elsevier.com/locate/ceca Emerging roles for multifunctional ion channel auxiliary subunits in cancer T ⁎ Alexander S. Hawortha,b, William J. Brackenburya,b, a Department of Biology, University of York, Heslington, York, YO10 5DD, UK b York Biomedical Research Institute, University of York, Heslington, York, YO10 5DD, UK ARTICLE INFO ABSTRACT Keywords: Several superfamilies of plasma membrane channels which regulate transmembrane ion flux have also been Auxiliary subunit shown to regulate a multitude of cellular processes, including proliferation and migration. Ion channels are Cancer typically multimeric complexes consisting of conducting subunits and auxiliary, non-conducting subunits. Calcium channel Auxiliary subunits modulate the function of conducting subunits and have putative non-conducting roles, further Chloride channel expanding the repertoire of cellular processes governed by ion channel complexes to processes such as trans- Potassium channel cellular adhesion and gene transcription. Given this expansive influence of ion channels on cellular behaviour it Sodium channel is perhaps no surprise that aberrant ion channel expression is a common occurrence in cancer. This review will − focus on the conducting and non-conducting roles of the auxiliary subunits of various Ca2+,K+,Na+ and Cl channels and the burgeoning evidence linking such auxiliary subunits to cancer. Several subunits are upregu- lated (e.g. Cavβ,Cavγ) and downregulated (e.g. Kvβ) in cancer, while other subunits have been functionally implicated as oncogenes (e.g. Navβ1,Cavα2δ1) and tumour suppressor genes (e.g. CLCA2, KCNE2, BKγ1) based on in vivo studies. The strengthening link between ion channel auxiliary subunits and cancer has exposed these subunits as potential biomarkers and therapeutic targets. -
Expression Profiling of Ion Channel Genes Predicts Clinical Outcome in Breast Cancer
UCSF UC San Francisco Previously Published Works Title Expression profiling of ion channel genes predicts clinical outcome in breast cancer Permalink https://escholarship.org/uc/item/1zq9j4nw Journal Molecular Cancer, 12(1) ISSN 1476-4598 Authors Ko, Jae-Hong Ko, Eun A Gu, Wanjun et al. Publication Date 2013-09-22 DOI http://dx.doi.org/10.1186/1476-4598-12-106 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Ko et al. Molecular Cancer 2013, 12:106 http://www.molecular-cancer.com/content/12/1/106 RESEARCH Open Access Expression profiling of ion channel genes predicts clinical outcome in breast cancer Jae-Hong Ko1, Eun A Ko2, Wanjun Gu3, Inja Lim1, Hyoweon Bang1* and Tong Zhou4,5* Abstract Background: Ion channels play a critical role in a wide variety of biological processes, including the development of human cancer. However, the overall impact of ion channels on tumorigenicity in breast cancer remains controversial. Methods: We conduct microarray meta-analysis on 280 ion channel genes. We identify candidate ion channels that are implicated in breast cancer based on gene expression profiling. We test the relationship between the expression of ion channel genes and p53 mutation status, ER status, and histological tumor grade in the discovery cohort. A molecular signature consisting of ion channel genes (IC30) is identified by Spearman’s rank correlation test conducted between tumor grade and gene expression. A risk scoring system is developed based on IC30. We test the prognostic power of IC30 in the discovery and seven validation cohorts by both Cox proportional hazard regression and log-rank test. -
Investigating Unexplained Deaths for Molecular Autopsies
The author(s) shown below used Federal funding provided by the U.S. Department of Justice to prepare the following resource: Document Title: Investigating Unexplained Deaths for Molecular Autopsies Author(s): Yingying Tang, M.D., Ph.D, DABMG Document Number: 255135 Date Received: August 2020 Award Number: 2011-DN-BX-K535 This resource has not been published by the U.S. Department of Justice. This resource is being made publically available through the Office of Justice Programs’ National Criminal Justice Reference Service. Opinions or points of view expressed are those of the author(s) and do not necessarily reflect the official position or policies of the U.S. Department of Justice. Final Technical Report NIJ FY 11 Basic Science Research to Support Forensic Science 2011-DN-BX-K535 Investigating Unexplained Deaths through Molecular Autopsies May 28, 2017 Yingying Tang, MD, PhD, DABMG Principal Investigator Director, Molecular Genetics Laboratory Office of Chief Medical Examiner 421 East 26th Street New York, NY, 10016 Tel: 212-323-1340 Fax: 212-323-1540 Email: [email protected] Page 1 of 41 This resource was prepared by the author(s) using Federal funds provided by the U.S. Department of Justice. Opinions or points of view expressed are those of the author(s) and do not necessarily reflect the official position or policies of the U.S. Department of Justice. Abstract Sudden Unexplained Death (SUD) is natural death in a previously healthy individual whose cause remains undetermined after scene investigation, complete autopsy, and medical record review. SUD affects children and adults, devastating families, challenging medical examiners, and is a focus of research for cardiologists, neurologists, clinical geneticists, and scientists. -
1 Inventory of Supplemental Information Presented in Relation To
Inventory of Supplemental Information presented in relation to each of the main figures in the manuscript 1. Figure S1. Related to Figure 1. 2. Figure S2. Related to Figure 2. 3. Figure S3. Related to Figure 3. 4. Figure S4. Related to Figure 4. 5. Figure S5. Related to Figure 5. 6. Figure S6. Related to Figure 6. 7. Figure S7. Related to Figure 7. 8. Table S1. Related to Figures 1 and S1. 9. Table S2. Related to Figures 3, 4, 6 and 7. 10. Table S3. Related to Figure 3. Supplemental Experimental Procedures 1. Patients and samples 2. Cell culture 3. Long term culture-initiating cells (LTC-IC) assay 4. Differentiation of CD34+ cord blood cells 5. Bi-phasic erythroid differentiation assay 6. Clonal assay 7. Mutation and sequencing analysis 8. Bisulphite sequencing and quantitative pyrosequencing 9. Human SNP genotyping 10. Strand-specific cDNA synthesis and PCR 11. Chromatin Immuno-precipitation (ChIP) 12. Immunoprecipitation and western blot 13. Colony genotyping 14. shRNA generation and viral infection 15. Retrovirus generation and transduction 16. Study approval 17. Statistical Methods 18. Primers list Supplementary References (19) 1 Additional SGK2 families 2 3 4 ♂ ♀ ♂ ♀ ♂ ♀ C/G C/C C/C C/G C/C C/G ♀ ♀ ♂ ♀ C/G C/G C/G C/G T T C T G C T A G A T T C T C C T A G A T T C T C C T A G A T T C T C C T A G A T-Cells T-Cells T-Cells T-Cells Additional GDAP1L1 familiy 2 ♂ ♀ G/G A/A ♀ G/A A C A C G G T G Erythroblasts Figure S1 - . -
Ion Channels 3 1
r r r Cell Signalling Biology Michael J. Berridge Module 3 Ion Channels 3 1 Module 3 Ion Channels Synopsis Ion channels have two main signalling functions: either they can generate second messengers or they can function as effectors by responding to such messengers. Their role in signal generation is mainly centred on the Ca2 + signalling pathway, which has a large number of Ca2+ entry channels and internal Ca2+ release channels, both of which contribute to the generation of Ca2 + signals. Ion channels are also important effectors in that they mediate the action of different intracellular signalling pathways. There are a large number of K+ channels and many of these function in different + aspects of cell signalling. The voltage-dependent K (KV) channels regulate membrane potential and + excitability. The inward rectifier K (Kir) channel family has a number of important groups of channels + + such as the G protein-gated inward rectifier K (GIRK) channels and the ATP-sensitive K (KATP) + + channels. The two-pore domain K (K2P) channels are responsible for the large background K current. Some of the actions of Ca2 + are carried out by Ca2+-sensitive K+ channels and Ca2+-sensitive Cl − channels. The latter are members of a large group of chloride channels and transporters with multiple functions. There is a large family of ATP-binding cassette (ABC) transporters some of which have a signalling role in that they extrude signalling components from the cell. One of the ABC transporters is the cystic − − fibrosis transmembrane conductance regulator (CFTR) that conducts anions (Cl and HCO3 )and contributes to the osmotic gradient for the parallel flow of water in various transporting epithelia. -
Spatial Distribution of Leading Pacemaker Sites in the Normal, Intact Rat Sinoa
Supplementary Material Supplementary Figure 1: Spatial distribution of leading pacemaker sites in the normal, intact rat sinoatrial 5 nodes (SAN) plotted along a normalized y-axis between the superior vena cava (SVC) and inferior vena 6 cava (IVC) and a scaled x-axis in millimeters (n = 8). Colors correspond to treatment condition (black: 7 baseline, blue: 100 µM Acetylcholine (ACh), red: 500 nM Isoproterenol (ISO)). 1 Supplementary Figure 2: Spatial distribution of leading pacemaker sites before and after surgical 3 separation of the rat SAN (n = 5). Top: Intact SAN preparations with leading pacemaker sites plotted during 4 baseline conditions. Bottom: Surgically cut SAN preparations with leading pacemaker sites plotted during 5 baseline conditions (black) and exposure to pharmacological stimulation (blue: 100 µM ACh, red: 500 nM 6 ISO). 2 a &DUGLDFIoQChDQQHOV .FQM FOXVWHU &DFQDG &DFQDK *MD &DFQJ .FQLS .FQG .FQK .FQM &DFQDF &DFQE .FQM í $WSD .FQD .FQM í .FQN &DVT 5\U .FQM &DFQJ &DFQDG ,WSU 6FQD &DFQDG .FQQ &DFQDJ &DFQDG .FQD .FQT 6FQD 3OQ 6FQD +FQ *MD ,WSU 6FQE +FQ *MG .FQN .FQQ .FQN .FQD .FQE .FQQ +FQ &DFQDD &DFQE &DOP .FQM .FQD .FQN .FQG .FQN &DOP 6FQD .FQD 6FQE 6FQD 6FQD ,WSU +FQ 6FQD 5\U 6FQD 6FQE 6FQD .FQQ .FQH 6FQD &DFQE 6FQE .FQM FOXVWHU V6$1 L6$1 5$ /$ 3 b &DUGLDFReFHSWRUV $GUDF FOXVWHU $GUDD &DY &KUQE &KUP &KJD 0\O 3GHG &KUQD $GUE $GUDG &KUQE 5JV í 9LS $GUDE 7SP í 5JV 7QQF 3GHE 0\K $GUE *QDL $QN $GUDD $QN $QN &KUP $GUDE $NDS $WSE 5DPS &KUP 0\O &KUQD 6UF &KUQH $GUE &KUQD FOXVWHU V6$1 L6$1 5$ /$ 4 c 1HXURQDOPURWHLQV -
Genomic Analyses Implicate Noncoding De Novo Variants in Congenital Heart Disease
Lawrence Berkeley National Laboratory Recent Work Title Genomic analyses implicate noncoding de novo variants in congenital heart disease. Permalink https://escholarship.org/uc/item/1ps986vj Journal Nature genetics, 52(8) ISSN 1061-4036 Authors Richter, Felix Morton, Sarah U Kim, Seong Won et al. Publication Date 2020-08-01 DOI 10.1038/s41588-020-0652-z Peer reviewed eScholarship.org Powered by the California Digital Library University of California HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Nat Genet Manuscript Author . Author manuscript; Manuscript Author available in PMC 2020 December 29. Published in final edited form as: Nat Genet. 2020 August ; 52(8): 769–777. doi:10.1038/s41588-020-0652-z. Genomic analyses implicate noncoding de novo variants in congenital heart disease Felix Richter1,31, Sarah U. Morton2,3,31, Seong Won Kim4,31, Alexander Kitaygorodsky5,31, Lauren K. Wasson4,31, Kathleen M. Chen6,31, Jian Zhou6,7,8, Hongjian Qi5, Nihir Patel9, Steven R. DePalma4, Michael Parfenov4, Jason Homsy4,10, Joshua M. Gorham4, Kathryn B. Manheimer11, Matthew Velinder12, Andrew Farrell12, Gabor Marth12, Eric E. Schadt9,11,13, Jonathan R. Kaltman14, Jane W. Newburger15, Alessandro Giardini16, Elizabeth Goldmuntz17,18, Martina Brueckner19, Richard Kim20, George A. Porter Jr.21, Daniel Bernstein22, Wendy K. Chung23, Deepak Srivastava24,32, Martin Tristani-Firouzi25,32, Olga G. Troyanskaya6,7,26,32, Diane E. Dickel27,32, Yufeng Shen5,32, Jonathan G. Seidman4,32, Christine E. Seidman4,28,32, Bruce D. Gelb9,29,30,32,* 1Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA. 2Department of Pediatrics, Harvard Medical School, Boston, MA, USA. -
Catenin Signaling Pathway in Cancers Raphaël Rapetti-Mauss, Camille Berenguier, Benoit Allegrini, Olivier Soriani
Interplay Between Ion Channels and the Wnt/β-Catenin Signaling Pathway in Cancers Raphaël Rapetti-Mauss, Camille Berenguier, Benoit Allegrini, Olivier Soriani To cite this version: Raphaël Rapetti-Mauss, Camille Berenguier, Benoit Allegrini, Olivier Soriani. Interplay Between Ion Channels and the Wnt/β-Catenin Signaling Pathway in Cancers. Frontiers in Pharmacology, Frontiers, 2020, 11, 10.3389/fphar.2020.525020. hal-03059067 HAL Id: hal-03059067 https://hal.archives-ouvertes.fr/hal-03059067 Submitted on 12 Dec 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. REVIEW published: 29 September 2020 doi: 10.3389/fphar.2020.525020 Interplay Between Ion Channels and the Wnt/b-Catenin Signaling Pathway in Cancers Raphael Rapetti-Mauss*, Camille Berenguier, Benoit Allegrini and Olivier Soriani Inserm, CNRS, iBV, Universite´ Coˆ te d’Azur, Nice, France Increasing evidence point out the important roles of ion channels in the physiopathology of cancers, so that these proteins are now considered as potential new therapeutic targets and biomarkers in this disease. Indeed, ion channels have been largely described to participate in many hallmarks of cancers such as migration, invasion, proliferation, angiogenesis, and resistance to apoptosis.