TY  - JOUR
A1  - Perrino, Cinzia
A1  - Barabási, Albert-László
A1  - Condorelli, Gianluigi
A1  - Davidson, Sean Michael
A1  - De Windt, Leon
A1  - Dimmeler, Stefanie
A1  - Engel, Felix B.
A1  - Hausenloy, Derek John
A1  - Hill, Joseph Addison
A1  - Laake, Linda Wilhelmina van
A1  - Lecour, Sandrine
A1  - Leor, Jonathan
A1  - Madonna, Rosalinda
A1  - Mayr, Manuel
A1  - Prunier, Fabrice
A1  - Sluijter, Joost Petrus Geradus
A1  - Schulz, Rainer
A1  - Thum, Thomas
A1  - Ytrehus, Kirsti
A1  - Ferdinandy, Peter
T1  - Epigenomic and transcriptomic approaches in the post-genomic era : path to novel targets for diagnosis and therapy of the ischaemic heart? Position paper of the European Society of Cardiology Working Group on Cellular Biology of the Heart
T2  - Cardiovascular research
N2  - Despite advances in myocardial reperfusion therapies, acute myocardial ischaemia/reperfusion injury and consequent ischaemic heart failure represent the number one cause of morbidity and mortality in industrialized societies. Although different therapeutic interventions have been shown beneficial in preclinical settings, an effective cardioprotective or regenerative therapy has yet to be successfully introduced in the clinical arena. Given the complex pathophysiology of the ischaemic heart, large scale, unbiased, global approaches capable of identifying multiple branches of the signalling networks activated in the ischaemic/reperfused heart might be more successful in the search for novel diagnostic or therapeutic targets. High-throughput techniques allow high-resolution, genome-wide investigation of genetic variants, epigenetic modifications, and associated gene expression profiles. Platforms such as proteomics and metabolomics (not described here in detail) also offer simultaneous readouts of hundreds of proteins and metabolites. Isolated omics analyses usually provide Big Data requiring large data storage, advanced computational resources and complex bioinformatics tools. The possibility of integrating different omics approaches gives new hope to better understand the molecular circuitry activated by myocardial ischaemia, putting it in the context of the human ‘diseasome’. Since modifications of cardiac gene expression have been consistently linked to pathophysiology of the ischaemic heart, the integration of epigenomic and transcriptomic data seems a promising approach to identify crucial disease networks. Thus, the scope of this Position Paper will be to highlight potentials and limitations of these approaches, and to provide recommendations to optimize the search for novel diagnostic or therapeutic targets for acute ischaemia/reperfusion injury and ischaemic heart failure in the post-genomic era.
KW  - Big Data
KW  - Bioinformatics
KW  - Multiomics
KW  - Network analysis
KW  - Omics
KW  - Tailored medicine
Y1  - 2017
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/45822
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-458228
SN  - 1755-3245
SN  - 0008-6363
N1  - © The Author 2017. Published by Oxford University Press on behalf of the European Society of Cardiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
VL  - 113
IS  - 7
SP  - 725
EP  - 736
PB  - Oxford University Press
CY  - Oxford
ER  -