Staged miRNA re-regulation patterns during reprogramming

Christine M. Henzler, Zhonghan Li, Jason Dang, Mary Luz Arcila, Hongjun Zhou, Jingya Liu, Kung Yen Chang, Danielle S. Bassett, Tariq M. Rana, Kenneth S. Kosik

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article numberR149
JournalGenome biology
Volume14
Issue number12
DOIs
StatePublished - 2013

Bibliographical note

Funding Information:
We thank members of the Kosik and Rana laboratories for helpful discussions and support. Jiwon Jang and Yidi Wang (KSK lab) made particularly useful suggestions. We are grateful to Sanford-Burnham Medical Research Institute shared resource facilities, including Functional Genomics, Flow Cytometry, and animal facilities. This work was supported by the Miriam and Sheldon Adelson Medical Foundation (KSK), and Sanford-Burnham Medical Research Institute and in part by grants from the National Institutes of Health (TMR).

Publisher Copyright:
© 2013 Henzler et al.

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