Analysis of differential proteomes of induced pluripotent stem cells by protein-based reprogramming of fibroblasts

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Title
Analysis of differential proteomes of induced pluripotent stem cells by protein-based reprogramming of fibroblasts
Author(s)
J Jin; Y W Kwon; J S Paek; H J Cho; J Yu; J Y Lee; In-Sun Chu; I H Park; Y B Park; H S Kim; Y Kim
Bibliographic Citation
Journal of Proteome Research, vol. 10, no. 3, pp. 977-989
Publication Year
2011
Abstract
The recent generation of induced pluripotent stem (iPS) cells represents a novel opportunity to complement embryonic stem (ES) cell-based approaches. iPS cells can be generated by viral transduction of specific transcription factors, but there is a potential risk of tumorigenicity by random retroviral integration. We have generated novel iPS (sFB-protein-iPS) cells from murine dermal fibroblasts (FVB-sFB) that have ES cell characteristics, using ES cell-derived cell extracts instead of performing viral transduction. Notably, only cell extracts from an ES cell line (C57-mES) on the C57/BL6 background generated iPS cells in our protocol - not an ES cell line (E14-mES) on the 129 background. Hypothesizing that determining the differences in these 2 mES cell lines will provide vital insight into the reprogramming machinery, we performed proteomic and global gene expression analysis by iTRAQ and mRNA microarray, respectively. We observed that pluripotent ES cells and ES cell extract-derived iPS cells had differential proteomes and global gene expression patterns. Notably, reprogramming-competent C57-mES cells highly expressed proteins that regulate protein synthesis and metabolism, compared with reprogramming- incompetent 129-mES cells, suggesting that there is a threshold that protein synthetic machinery must exceed to initiate reprogramming.
Keyword
embryonic stem cellinduced pluripotent stem celliTRAQproteomicsreprogramming
ISSN
1535-3893
Publisher
Amer Chem Soc
DOI
http://dx.doi.org/10.1021/pr100624f
Type
Article
Appears in Collections:
Division of Biomedical Research > Genome Editing Research Center > 1. Journal Articles
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