Literature DB >> 22085907

Myocardial transcriptome analysis of human arrhythmogenic right ventricular cardiomyopathy.

Anna Gaertner1, Patrick Schwientek, Peter Ellinghaus, Holger Summer, Stefan Golz, Astrid Kassner, Uwe Schulz, Jan Gummert, Hendrik Milting.   

Abstract

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited cardiomyopathy primarily of the right ventricle characterized through fibrofatty replacement of cardiomyocytes. The genetic etiology in ARVC patients is most commonly caused by dominant inheritance and high genetic heterogeneity. Though histological examinations of ARVC-affected human myocardium reveals fibrolipomatous replacement, the molecular mechanisms leading to loss of cardiomyocytes are largely unknown. We therefore analyzed the transcriptomes of six ARVC hearts and compared our findings to six nonfailing donor hearts (NF). To characterize the ARVC-specific transcriptome, we compared our findings to samples from seven patients with idiopathic dilated cardiomyopathy (DCM). The myocardial DCM and ARVC samples were prepared from hearts explanted during an orthotopic heart transplantation representing myocardium from end-stage heart failure patients (NYHA IV). From each heart, left (LV) and right ventricular (RV) myocardial samples were analyzed by Affymetrix HG-U133 Plus 2.0 arrays, adding up to six sample groups. Unsupervised cluster analyses of the groups revealed a clear separation of NF and cardiomyopathy samples. However, in contrast to the other samples, the analyses revealed no distinct expression pattern in LV and RV of myocardial ARVC samples. We further identified differentially expressed transcripts using t-tests and found transcripts separating diseased and NF ventricular myocardium. Of note, in failing myocardium only ~15-16% of the genes are commonly regulated compared with NF samples. In addition both cardiomyopathies are clearly distinct on the transcriptome level. Comparison of the expression patterns between the failing RV and LV using a paired t-test revealed a lack of major differences between LV and RV gene expression in ARVC hearts. Our study is the first analysis of specific ARVC-related RV and LV gene expression patterns in terminal failing human hearts.

Entities:  

Mesh:

Year:  2011        PMID: 22085907     DOI: 10.1152/physiolgenomics.00094.2011

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  19 in total

1.  Methods to increase reproducibility in differential gene expression via meta-analysis.

Authors:  Timothy E Sweeney; Winston A Haynes; Francesco Vallania; John P Ioannidis; Purvesh Khatri
Journal:  Nucleic Acids Res       Date:  2016-09-14       Impact factor: 16.971

2.  Increasing reproducibility, robustness, and generalizability of biomarker selection from meta-analysis using Bayesian methodology.

Authors:  Laurynas Kalesinskas; Sanjana Gupta; Purvesh Khatri
Journal:  PLoS Comput Biol       Date:  2022-06-27       Impact factor: 4.779

3.  Identification and Verification of Feature Biomarkers Associated With Immune Cells in Dilated Cardiomyopathy by Bioinformatics Analysis.

Authors:  Tingfang Zhu; Mingjie Wang; Jinwei Quan; Zunhui Du; Qiheng Li; Yuan Xie; Menglu Lin; Cathy Xu; Yucai Xie
Journal:  Front Genet       Date:  2022-05-12       Impact factor: 4.772

4.  Dominant Myocardial Fibrosis and Complex Immune Microenvironment Jointly Shape the Pathogenesis of Arrhythmogenic Right Ventricular Cardiomyopathy.

Authors:  Wenzhao Lu; Yao Li; Yan Dai; Keping Chen
Journal:  Front Cardiovasc Med       Date:  2022-06-29

5.  Mechanosensitive Gene Regulation by Myocardin-Related Transcription Factors Is Required for Cardiomyocyte Integrity in Load-Induced Ventricular Hypertrophy.

Authors:  Michael A Trembley; Pearl Quijada; Esperanza Agullo-Pascual; Kevin M Tylock; Mert Colpan; Ronald A Dirkx; Jason R Myers; Deanne M Mickelsen; Karen de Mesy Bentley; Eli Rothenberg; Christine S Moravec; Jeffrey D Alexis; Carol C Gregorio; Robert T Dirksen; Mario Delmar; Eric M Small
Journal:  Circulation       Date:  2018-10-23       Impact factor: 29.690

6.  BAY 87-2243, a highly potent and selective inhibitor of hypoxia-induced gene activation has antitumor activities by inhibition of mitochondrial complex I.

Authors:  Peter Ellinghaus; Iring Heisler; Kerstin Unterschemmann; Michael Haerter; Hartmut Beck; Susanne Greschat; Alexander Ehrmann; Holger Summer; Ingo Flamme; Felix Oehme; Karlheinz Thierauch; Martin Michels; Holger Hess-Stumpp; Karl Ziegelbauer
Journal:  Cancer Med       Date:  2013-08-20       Impact factor: 4.452

7.  A novel transmission-based test of association for multivariate phenotypes: an application to systolic and diastolic blood pressure levels.

Authors:  Tanushree Haldar; Indranil Mukhopadhyay; Saurabh Ghosh
Journal:  BMC Proc       Date:  2014-06-17

8.  In vitro functional analyses of arrhythmogenic right ventricular cardiomyopathy-associated desmoglein-2-missense variations.

Authors:  Anna Gaertner; Baerbel Klauke; Ines Stork; Karsten Niehaus; Gesa Niemann; Jan Gummert; Hendrik Milting
Journal:  PLoS One       Date:  2012-10-10       Impact factor: 3.240

9.  Desmosomal cadherins are decreased in explanted arrhythmogenic right ventricular dysplasia/cardiomyopathy patient hearts.

Authors:  Alexia Vite; Estelle Gandjbakhch; Catherine Prost; Veronique Fressart; Pierre Fouret; Nathalie Neyroud; Françoise Gary; Erwan Donal; Shaida Varnous; Guy Fontaine; Paul Fornes; Françoise Hidden-Lucet; Michel Komajda; Philippe Charron; Eric Villard
Journal:  PLoS One       Date:  2013-09-23       Impact factor: 3.240

10.  Array data extractor (ADE): a LabVIEW program to extract and merge gene array data.

Authors:  Stefan Kurtenbach; Sarah Kurtenbach; Georg Zoidl
Journal:  BMC Res Notes       Date:  2013-12-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.