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Functional high-resolution time-course expression analysis of human embryonic stem cells undergoing cardiac induction

Cardiac induction of human embryonic stem cells (hESCs) is a process bearing increasing medical relevance, yet it is poorly understood from a developmental biology perspective. Anticipated technological progress in deriving stably expandable cardiac precursor cells or in advancing cardiac subtype sp...

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Autores principales: Piccini, Ilaria, Araúzo-Bravo, Marcos, Seebohm, Guiscard, Greber, Boris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048627/
https://www.ncbi.nlm.nih.gov/pubmed/27722090
http://dx.doi.org/10.1016/j.gdata.2016.09.007
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author Piccini, Ilaria
Araúzo-Bravo, Marcos
Seebohm, Guiscard
Greber, Boris
author_facet Piccini, Ilaria
Araúzo-Bravo, Marcos
Seebohm, Guiscard
Greber, Boris
author_sort Piccini, Ilaria
collection PubMed
description Cardiac induction of human embryonic stem cells (hESCs) is a process bearing increasing medical relevance, yet it is poorly understood from a developmental biology perspective. Anticipated technological progress in deriving stably expandable cardiac precursor cells or in advancing cardiac subtype specification protocols will likely require deeper insights into this fascinating system. Recent improvements in controlling hESC differentiation now enable a near-homogeneous induction of the cardiac lineage. This is based on an optimized initial stimulation of mesoderm-inducing signaling pathways such as Activin and/or FGF, BMP, and WNT, followed by WNT inhibition as a secondary requirement. Here, we describe a comprehensive data set based on varying hESC differentiation conditions in a systematic manner and recording high-resolution differentiation time-courses analyzed by genome-wide expression profiling (GEO accession number GSE67154). As a baseline, hESCs were differentiated into cardiomyocytes under optimal conditions. Moreover, in additional time-series, individual signaling factors were withdrawn from the initial stimulation cocktail to reveal their specific roles via comparison to the standard condition. Hence, this data set presents a rich resource for hypothesis generation in studying human cardiac induction, as we reveal numbers of known as well as uncharacterized genes prominently marking distinct intermediate stages in the process. These data will also be useful for identifying putative cardiac master regulators in the human system as well as for characterizing expandable cardiac stem cells.
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spelling pubmed-50486272016-10-07 Functional high-resolution time-course expression analysis of human embryonic stem cells undergoing cardiac induction Piccini, Ilaria Araúzo-Bravo, Marcos Seebohm, Guiscard Greber, Boris Genom Data Data in Brief Cardiac induction of human embryonic stem cells (hESCs) is a process bearing increasing medical relevance, yet it is poorly understood from a developmental biology perspective. Anticipated technological progress in deriving stably expandable cardiac precursor cells or in advancing cardiac subtype specification protocols will likely require deeper insights into this fascinating system. Recent improvements in controlling hESC differentiation now enable a near-homogeneous induction of the cardiac lineage. This is based on an optimized initial stimulation of mesoderm-inducing signaling pathways such as Activin and/or FGF, BMP, and WNT, followed by WNT inhibition as a secondary requirement. Here, we describe a comprehensive data set based on varying hESC differentiation conditions in a systematic manner and recording high-resolution differentiation time-courses analyzed by genome-wide expression profiling (GEO accession number GSE67154). As a baseline, hESCs were differentiated into cardiomyocytes under optimal conditions. Moreover, in additional time-series, individual signaling factors were withdrawn from the initial stimulation cocktail to reveal their specific roles via comparison to the standard condition. Hence, this data set presents a rich resource for hypothesis generation in studying human cardiac induction, as we reveal numbers of known as well as uncharacterized genes prominently marking distinct intermediate stages in the process. These data will also be useful for identifying putative cardiac master regulators in the human system as well as for characterizing expandable cardiac stem cells. Elsevier 2016-09-28 /pmc/articles/PMC5048627/ /pubmed/27722090 http://dx.doi.org/10.1016/j.gdata.2016.09.007 Text en © 2016 Stellenbosch University http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data in Brief
Piccini, Ilaria
Araúzo-Bravo, Marcos
Seebohm, Guiscard
Greber, Boris
Functional high-resolution time-course expression analysis of human embryonic stem cells undergoing cardiac induction
title Functional high-resolution time-course expression analysis of human embryonic stem cells undergoing cardiac induction
title_full Functional high-resolution time-course expression analysis of human embryonic stem cells undergoing cardiac induction
title_fullStr Functional high-resolution time-course expression analysis of human embryonic stem cells undergoing cardiac induction
title_full_unstemmed Functional high-resolution time-course expression analysis of human embryonic stem cells undergoing cardiac induction
title_short Functional high-resolution time-course expression analysis of human embryonic stem cells undergoing cardiac induction
title_sort functional high-resolution time-course expression analysis of human embryonic stem cells undergoing cardiac induction
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048627/
https://www.ncbi.nlm.nih.gov/pubmed/27722090
http://dx.doi.org/10.1016/j.gdata.2016.09.007
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