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Efficient Array-Based Identification of Novel Cardiac Genes through Differentiation of Mouse ESCs

Remarkably, although cardiac disease accounts for the largest proportion of adult mortality and morbidity in the industrialized world, the genetic programs controlling early cardiogenesis are largely incompletely understood. To better understand this process, we set out to identify genes whose expre...

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Autores principales: Miller, Ronald A., Christoforou, Nicolas, Pevsner, Jonathan, McCallion, Andrew S., Gearhart, John D.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2364653/
https://www.ncbi.nlm.nih.gov/pubmed/18478100
http://dx.doi.org/10.1371/journal.pone.0002176
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author Miller, Ronald A.
Christoforou, Nicolas
Pevsner, Jonathan
McCallion, Andrew S.
Gearhart, John D.
author_facet Miller, Ronald A.
Christoforou, Nicolas
Pevsner, Jonathan
McCallion, Andrew S.
Gearhart, John D.
author_sort Miller, Ronald A.
collection PubMed
description Remarkably, although cardiac disease accounts for the largest proportion of adult mortality and morbidity in the industrialized world, the genetic programs controlling early cardiogenesis are largely incompletely understood. To better understand this process, we set out to identify genes whose expression is enriched within early cardiac fated populations, obtaining the transcriptional signatures of mouse embryonic stem cells (mESCs) at defined intervals during their differentiation along a cardiac path. We compared the RNA profiles of cardiac precursors cells (CPCs) with time-matched non-CPCs and undifferentiated mESCs, using a transgenic mESC line harboring an Nkx2-5 cardiac-specific regulatory sequence driving green fluorescent protein (GFP) to facilitate selection of CPCs. We identify 176 transcripts that are significantly elevated in their abundance within CPCs compared with other assayed populations, predicting that they will likely play a role in cardiogenesis. Of note, approximately 24% (43/176) of the cardiogenic candidate transcripts have known roles in cardiac function or development. Importantly, we evaluated the biological relevance of a significant subset 31/133 (23%) of the remaining candidate genes by in situ hybridization at multiple time points during development (embryonic day, E7.5–9.5) and report that all were expressed in key cardiac structures during cardiogenesis. Furthermore 9/31, of which many were previously uncharacterized, were detected as early as the formation of the cardiac crescent. These data demonstrate the potential power of integrating genomic approaches with mESC differentiation to illuminate developmental processes, and provides a valuable resource that may be mined to further elucidate the genetic programs underlying cardiogenesis.
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spelling pubmed-23646532008-05-14 Efficient Array-Based Identification of Novel Cardiac Genes through Differentiation of Mouse ESCs Miller, Ronald A. Christoforou, Nicolas Pevsner, Jonathan McCallion, Andrew S. Gearhart, John D. PLoS One Research Article Remarkably, although cardiac disease accounts for the largest proportion of adult mortality and morbidity in the industrialized world, the genetic programs controlling early cardiogenesis are largely incompletely understood. To better understand this process, we set out to identify genes whose expression is enriched within early cardiac fated populations, obtaining the transcriptional signatures of mouse embryonic stem cells (mESCs) at defined intervals during their differentiation along a cardiac path. We compared the RNA profiles of cardiac precursors cells (CPCs) with time-matched non-CPCs and undifferentiated mESCs, using a transgenic mESC line harboring an Nkx2-5 cardiac-specific regulatory sequence driving green fluorescent protein (GFP) to facilitate selection of CPCs. We identify 176 transcripts that are significantly elevated in their abundance within CPCs compared with other assayed populations, predicting that they will likely play a role in cardiogenesis. Of note, approximately 24% (43/176) of the cardiogenic candidate transcripts have known roles in cardiac function or development. Importantly, we evaluated the biological relevance of a significant subset 31/133 (23%) of the remaining candidate genes by in situ hybridization at multiple time points during development (embryonic day, E7.5–9.5) and report that all were expressed in key cardiac structures during cardiogenesis. Furthermore 9/31, of which many were previously uncharacterized, were detected as early as the formation of the cardiac crescent. These data demonstrate the potential power of integrating genomic approaches with mESC differentiation to illuminate developmental processes, and provides a valuable resource that may be mined to further elucidate the genetic programs underlying cardiogenesis. Public Library of Science 2008-05-14 /pmc/articles/PMC2364653/ /pubmed/18478100 http://dx.doi.org/10.1371/journal.pone.0002176 Text en Miller et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Miller, Ronald A.
Christoforou, Nicolas
Pevsner, Jonathan
McCallion, Andrew S.
Gearhart, John D.
Efficient Array-Based Identification of Novel Cardiac Genes through Differentiation of Mouse ESCs
title Efficient Array-Based Identification of Novel Cardiac Genes through Differentiation of Mouse ESCs
title_full Efficient Array-Based Identification of Novel Cardiac Genes through Differentiation of Mouse ESCs
title_fullStr Efficient Array-Based Identification of Novel Cardiac Genes through Differentiation of Mouse ESCs
title_full_unstemmed Efficient Array-Based Identification of Novel Cardiac Genes through Differentiation of Mouse ESCs
title_short Efficient Array-Based Identification of Novel Cardiac Genes through Differentiation of Mouse ESCs
title_sort efficient array-based identification of novel cardiac genes through differentiation of mouse escs
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2364653/
https://www.ncbi.nlm.nih.gov/pubmed/18478100
http://dx.doi.org/10.1371/journal.pone.0002176
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