In addition to the well-characterized Induced Pluripotent Stem cells (iPSCs) that closely resemble Embryonic Stem cells (ESCs), a recent study has proven the existence of a stable state, resembling partially reprogrammed cells, termed F-class iPSCs. To study these distinct iPSC states, a reprogramming dataset has been generated, featuring the parallel analysis of multiple molecular platforms. MicroRNAs (miRNAs) are small RNA regulators of gene expression whose critical role in reprogramming is now being realized. In the present study, small RNA deep sequencing data from this novel reprogramming dataset was used to identify miRNAs that are likely to enhance reprogramming by detecting significantly up-regulated miRNAs in ESC-like iPSCs versus F-class iPSCs. These candidate miRNAs were cloned and overexpressed in reprogramming mouse embryonic fibroblasts and their effect on reprogramming efficiency was measured. miR-214 was discovered to increase iPSC generation efficiency, marking the first reprogramming-related role for this microRNA.
| Identifer | oai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/42760 |
| Date | 21 November 2013 |
| Creators | Corso, Andrew John |
| Contributors | Nagy, Andras |
| Source Sets | University of Toronto |
| Language | en_ca |
| Detected Language | English |
| Type | Thesis |
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