Dissecting the transcriptome in cardiovascular disease

Author:

Robinson Emma L12ORCID,Baker Andrew H3ORCID,Brittan Mairi3ORCID,McCracken Ian3ORCID,Condorelli G4ORCID,Emanueli C5ORCID,Srivastava P K5,Gaetano C6ORCID,Thum T7ORCID,Vanhaverbeke M8,Angione C9ORCID,Heymans S1,Devaux Y10ORCID,Pedrazzini T11,Martelli F12ORCID,

Affiliation:

1. Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Universiteitssingel 50, 6229 Maastricht University, Maastricht, The Netherlands

2. The Division of Cardiology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA

3. Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK

4. Humanitas Research Hospital, Humanitas University, Via Manzoni 113, Rozzano, MI 20089, Italy

5. Imperial College, National Heart and Lung Institute, Hammersmith campus, Du Cane Road, London W12 0NN, UK

6. Laboratorio di Epigenetica, Istituti Clinici Scientifici Maugeri IRCCS, Via Maugeri 4, Pavia 27100, Italy

7. Hannover Medical School, Institute of Molecular and Translational Therapeutic Strategies (IMTTS), Carl-Neuberg-Straße 1 30625 Hannover, Germany

8. UZ Gasthuisberg Campus, KU Leuven, Herestraat 49 3000 Leuven, Belgium

9. Department of Computer Science and Information Systems, Teesside University, Middlesbrough, TS4 3BX, UK

10. Cardiovascular Research Unit, Department of Population Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, L-1445 Strassen, Luxembourg

11. Experimental Cardiology Unit, Division of Cardiology, Department of Cardiovascular Medicine, University of Lausanne Medical School, 1011 Lausanne, Switzerland

12. Molecular Cardiology Laboratory, IRCCS-Policlinico San Donato, Piazza Edmondo Malan, 2, 20097 San Donato, Milan, Italy

Abstract

Abstract The human transcriptome comprises a complex network of coding and non-coding RNAs implicated in a myriad of biological functions. Non-coding RNAs exhibit highly organized spatial and temporal expression patterns and are emerging as critical regulators of differentiation, homeostasis, and pathological states, including in the cardiovascular system. This review defines the current knowledge gaps, unmet methodological needs, and describes the challenges in dissecting and understanding the role and regulation of the non-coding transcriptome in cardiovascular disease. These challenges include poor annotation of the non-coding genome, determination of the cellular distribution of transcripts, assessment of the role of RNA processing and identification of cell-type specific changes in cardiovascular physiology and disease. We highlight similarities and differences in the hurdles associated with the analysis of the non-coding and protein-coding transcriptomes. In addition, we discuss how the lack of consensus and absence of standardized methods affect reproducibility of data. These shortcomings should be defeated in order to make significant scientific progress and foster the development of clinically applicable non-coding RNA-based therapeutic strategies to lessen the burden of cardiovascular disease.

Funder

Cardiovasculair Onderzoek Nederland

European Research Council

British Heart Foundation Chair of Translational Cardiovascular Sciences and Intermediate Basic Science Fellowship

Medical Research Council Doctoral Training Award in Precision Medicine

CVON2016-Early HFPEF, CVON She-PREDICTS, and CVON-Arena-PRIME

British Heart Foundation Programme Grant and Personal Chair Awards

Deutsche Forschungsgemeinschaft and EU grant CardioReGenix

National Research Fund

Ministry of Higher Education and Research, and the Fondation Coeur–Daniel Wagner of Luxembourg

Swiss National Science Foundation

Italian Ministry of Health

AFM-Telethon

Telethon Foundation

EU Horizon 2020 Project COVIRNA

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine,Physiology

Reference119 articles.

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3