@article{4f592301f57344eb9cba9428781953bf,
title = "Evolutionarily conserved transcriptional landscape of the heart defining the chamber specific physiology",
abstract = "Cardiovascular disease (CVD) remains the leading cause of death worldwide. A deeper characterization of regional transcription patterns within different heart chambers may aid to improve our understanding of the molecular mechanisms involved in myocardial function and further, our ability to develop novel therapeutic strategies. Here, we used RNA sequencing to determine differentially expressed protein coding (PC) and long non-coding (lncRNA) transcripts within the heart chambers across seven vertebrate species and identified evolutionarily conserved chamber specific genes, lncRNAs and pathways. We investigated lncRNA homologs based on sequence, secondary structure, synteny and expressional conservation and found most lncRNAs to be conserved by synteny. Regional co-expression patterns of transcripts are modulated by multiple factors, including genomic overlap, strandedness and transcript biotype. Finally, we provide a community resource designated EvoACTG, which informs researchers on the conserved yet intertwined nature of the coding and non-coding cardiac transcriptome across popular model organisms in CVD research.",
keywords = "Cardiac transcriptome, Chamber specificity, lncRNA conservation, LONG NONCODING RNAS, GENE-EXPRESSION, PROFILES, PATTERNS, DATABASE, ATRIAL",
author = "S. Gandhi and A. Witten and {De Majo}, F. and M. Gilbers and J. Maessen and U. Schotten and {de Windt}, L.J. and M. Stoll",
note = "Funding Information: MS and SG are funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – RTG2220 – project number 281125614 . US and MS are funded by the Dutch Heart Foundation ( CVON RACE V , CVON2014-09 ). LdW also acknowledges support from ERA-CVD JCT2016 EXPERT , the Netherlands CardioVascular Research Initiative (CVON2017-ARENA PRIME) and a VICI award 918-156-47 from the Dutch Research Council (NWO) . LdW and MS are funded by the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement no. 813716 (TRAIN-HEART Innovative Training Network). This work was furthermore supported by grants of the European Union ( ITN Network Personalize AF: Personalized Therapies for Atrial Fibrillation: a translational network , grant number 860974 ; CATCH ME: Characterizing Atrial fibrillation by Translating its Causes into Health Modifiers in the Elderly , grant number 633196 ; MAESTRIA: Machine Learning Artificial Intelligence Early Detection Stroke Atrial Fibrillation , grant number 965286 ; REPAIR: Restoring cardiac mechanical function by polymeric artificial muscular tissue , grant number 952166 ) to US. Publisher Copyright: {\textcopyright} 2021 The Authors",
year = "2021",
month = nov,
day = "1",
doi = "10.1016/j.ygeno.2021.09.002",
language = "English",
volume = "113",
pages = "3782--3792",
journal = "Genomics",
issn = "0888-7543",
publisher = "Academic Press Inc.",
number = "6",
}