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Polysome profiling followed by RNA-seq of cardiac differentiation stages in hESCs

The regulation of gene expression acts at numerous complementary levels to control and refine protein abundance. The analysis of mRNAs associated with polysomes, called polysome profiling, has been used to investigate the post-transcriptional mechanisms that are involved in different biological proc...

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Autores principales: Pereira, Isabela Tiemy, Spangenberg, Lucia, Robert, Anny Waloski, Amorín, Rocío, Stimamiglio, Marco Augusto, Naya, Hugo, Dallagiovanna, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278691/
https://www.ncbi.nlm.nih.gov/pubmed/30512016
http://dx.doi.org/10.1038/sdata.2018.287
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author Pereira, Isabela Tiemy
Spangenberg, Lucia
Robert, Anny Waloski
Amorín, Rocío
Stimamiglio, Marco Augusto
Naya, Hugo
Dallagiovanna, Bruno
author_facet Pereira, Isabela Tiemy
Spangenberg, Lucia
Robert, Anny Waloski
Amorín, Rocío
Stimamiglio, Marco Augusto
Naya, Hugo
Dallagiovanna, Bruno
author_sort Pereira, Isabela Tiemy
collection PubMed
description The regulation of gene expression acts at numerous complementary levels to control and refine protein abundance. The analysis of mRNAs associated with polysomes, called polysome profiling, has been used to investigate the post-transcriptional mechanisms that are involved in different biological processes. Pluripotent stem cells are able to differentiate into a variety of cell lineages, and the cell commitment progression is carefully orchestrated. Genome-wide expression profiling has provided the possibility to investigate transcriptional changes during cardiomyogenesis; however, a more accurate study regarding post-transcriptional regulation is required. In the present work, we isolated and high-throughput sequenced ribosome-free and polysome-bound RNAs from NKX2-5(eGFP/w) HES3 undifferentiated pluripotent stem cells at the subsequent differentiation stages of cardiomyogenesis: embryoid body aggregation, mesoderm, cardiac progenitor and cardiomyocyte. The expression of developmental markers was followed by flow cytometry, and quality analyses were performed as technical controls to ensure high quality data. Our dataset provides valuable information about hESC cardiac differentiation and can be used to investigate genes potentially controlled by post-transcriptional mechanisms.
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spelling pubmed-62786912018-12-05 Polysome profiling followed by RNA-seq of cardiac differentiation stages in hESCs Pereira, Isabela Tiemy Spangenberg, Lucia Robert, Anny Waloski Amorín, Rocío Stimamiglio, Marco Augusto Naya, Hugo Dallagiovanna, Bruno Sci Data Data Descriptor The regulation of gene expression acts at numerous complementary levels to control and refine protein abundance. The analysis of mRNAs associated with polysomes, called polysome profiling, has been used to investigate the post-transcriptional mechanisms that are involved in different biological processes. Pluripotent stem cells are able to differentiate into a variety of cell lineages, and the cell commitment progression is carefully orchestrated. Genome-wide expression profiling has provided the possibility to investigate transcriptional changes during cardiomyogenesis; however, a more accurate study regarding post-transcriptional regulation is required. In the present work, we isolated and high-throughput sequenced ribosome-free and polysome-bound RNAs from NKX2-5(eGFP/w) HES3 undifferentiated pluripotent stem cells at the subsequent differentiation stages of cardiomyogenesis: embryoid body aggregation, mesoderm, cardiac progenitor and cardiomyocyte. The expression of developmental markers was followed by flow cytometry, and quality analyses were performed as technical controls to ensure high quality data. Our dataset provides valuable information about hESC cardiac differentiation and can be used to investigate genes potentially controlled by post-transcriptional mechanisms. Nature Publishing Group 2018-12-04 /pmc/articles/PMC6278691/ /pubmed/30512016 http://dx.doi.org/10.1038/sdata.2018.287 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.
spellingShingle Data Descriptor
Pereira, Isabela Tiemy
Spangenberg, Lucia
Robert, Anny Waloski
Amorín, Rocío
Stimamiglio, Marco Augusto
Naya, Hugo
Dallagiovanna, Bruno
Polysome profiling followed by RNA-seq of cardiac differentiation stages in hESCs
title Polysome profiling followed by RNA-seq of cardiac differentiation stages in hESCs
title_full Polysome profiling followed by RNA-seq of cardiac differentiation stages in hESCs
title_fullStr Polysome profiling followed by RNA-seq of cardiac differentiation stages in hESCs
title_full_unstemmed Polysome profiling followed by RNA-seq of cardiac differentiation stages in hESCs
title_short Polysome profiling followed by RNA-seq of cardiac differentiation stages in hESCs
title_sort polysome profiling followed by rna-seq of cardiac differentiation stages in hescs
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278691/
https://www.ncbi.nlm.nih.gov/pubmed/30512016
http://dx.doi.org/10.1038/sdata.2018.287
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