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Staged miRNA re-regulation patterns during reprogramming

BACKGROUND: MiRNAs often operate in feedback loops with transcription factors and represent a key mechanism for fine-tuning gene expression. In transcription factor-induced reprogramming, miRNAs play a critical role; however, detailed analyses of miRNA expression changes during reprogramming at the...

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Autores principales: Henzler, Christine M, Li, Zhonghan, Dang, Jason, Arcila, Mary Luz, Zhou, Hongjun, Liu, Jingya, Chang, Kung-Yen, Bassett, Danielle S, Rana, Tariq M, Kosik, Kenneth S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053856/
https://www.ncbi.nlm.nih.gov/pubmed/24380417
http://dx.doi.org/10.1186/gb-2013-14-12-r149
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author Henzler, Christine M
Li, Zhonghan
Dang, Jason
Arcila, Mary Luz
Zhou, Hongjun
Liu, Jingya
Chang, Kung-Yen
Bassett, Danielle S
Rana, Tariq M
Kosik, Kenneth S
author_facet Henzler, Christine M
Li, Zhonghan
Dang, Jason
Arcila, Mary Luz
Zhou, Hongjun
Liu, Jingya
Chang, Kung-Yen
Bassett, Danielle S
Rana, Tariq M
Kosik, Kenneth S
author_sort Henzler, Christine M
collection PubMed
description BACKGROUND: MiRNAs often operate in feedback loops with transcription factors and represent a key mechanism for fine-tuning gene expression. In transcription factor-induced reprogramming, miRNAs play a critical role; however, detailed analyses of miRNA expression changes during reprogramming at the level of deep sequencing have not been previously reported. RESULTS: We use four factor reprogramming to induce pluripotent stem cells from mouse fibroblasts and isolate FACS-sorted Thy1- and SSEA1+ intermediates and Oct4-GFP+ induced pluripotent stem cells (iPSCs). Small RNAs from these cells, and two partial-iPSC lines, another iPSC line, and mouse embryonic stem cells (mES cells) were deep sequenced. A comprehensive resetting of the miRNA profile occurs during reprogramming; however, analysis of miRNA co-expression patterns yields only a few patterns of change. Dlk1-Dio3 region miRNAs dominate the large pool of miRNAs experiencing small but significant fold changes early in reprogramming. Overexpression of Dlk1-Dio3 miRNAs early in reprogramming reduces reprogramming efficiency, suggesting the observed downregulation of these miRNAs may contribute to reprogramming. As reprogramming progresses, fewer miRNAs show changes in expression, but those changes are generally of greater magnitude. CONCLUSIONS: The broad resetting of the miRNA profile during reprogramming that we observe is due to small changes in gene expression in many miRNAs early in the process, and large changes in only a few miRNAs late in reprogramming. This corresponds with a previously observed transition from a stochastic to a more deterministic signal.
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spelling pubmed-40538562014-06-12 Staged miRNA re-regulation patterns during reprogramming Henzler, Christine M Li, Zhonghan Dang, Jason Arcila, Mary Luz Zhou, Hongjun Liu, Jingya Chang, Kung-Yen Bassett, Danielle S Rana, Tariq M Kosik, Kenneth S Genome Biol Research BACKGROUND: MiRNAs often operate in feedback loops with transcription factors and represent a key mechanism for fine-tuning gene expression. In transcription factor-induced reprogramming, miRNAs play a critical role; however, detailed analyses of miRNA expression changes during reprogramming at the level of deep sequencing have not been previously reported. RESULTS: We use four factor reprogramming to induce pluripotent stem cells from mouse fibroblasts and isolate FACS-sorted Thy1- and SSEA1+ intermediates and Oct4-GFP+ induced pluripotent stem cells (iPSCs). Small RNAs from these cells, and two partial-iPSC lines, another iPSC line, and mouse embryonic stem cells (mES cells) were deep sequenced. A comprehensive resetting of the miRNA profile occurs during reprogramming; however, analysis of miRNA co-expression patterns yields only a few patterns of change. Dlk1-Dio3 region miRNAs dominate the large pool of miRNAs experiencing small but significant fold changes early in reprogramming. Overexpression of Dlk1-Dio3 miRNAs early in reprogramming reduces reprogramming efficiency, suggesting the observed downregulation of these miRNAs may contribute to reprogramming. As reprogramming progresses, fewer miRNAs show changes in expression, but those changes are generally of greater magnitude. CONCLUSIONS: The broad resetting of the miRNA profile during reprogramming that we observe is due to small changes in gene expression in many miRNAs early in the process, and large changes in only a few miRNAs late in reprogramming. This corresponds with a previously observed transition from a stochastic to a more deterministic signal. BioMed Central 2013 2013-12-31 /pmc/articles/PMC4053856/ /pubmed/24380417 http://dx.doi.org/10.1186/gb-2013-14-12-r149 Text en Copyright © 2013 Henzler et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Henzler, Christine M
Li, Zhonghan
Dang, Jason
Arcila, Mary Luz
Zhou, Hongjun
Liu, Jingya
Chang, Kung-Yen
Bassett, Danielle S
Rana, Tariq M
Kosik, Kenneth S
Staged miRNA re-regulation patterns during reprogramming
title Staged miRNA re-regulation patterns during reprogramming
title_full Staged miRNA re-regulation patterns during reprogramming
title_fullStr Staged miRNA re-regulation patterns during reprogramming
title_full_unstemmed Staged miRNA re-regulation patterns during reprogramming
title_short Staged miRNA re-regulation patterns during reprogramming
title_sort staged mirna re-regulation patterns during reprogramming
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053856/
https://www.ncbi.nlm.nih.gov/pubmed/24380417
http://dx.doi.org/10.1186/gb-2013-14-12-r149
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