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 PMID:24506885  

Histone variants enriched in oocytes enhance reprogramming to induced pluripotent stem cells.

Toshie Shinagawa | Tsuyoshi Takagi | Daisuke Tsukamoto | Chinatsu Tomaru | Linh My Huynh | Padavattan Sivaraman | Thirumananseri Kumarevel | Kimiko Inoue | Ryuichiro Nakato | Yuki Katou | Takashi Sado | Satoru Takahashi | Atsuo Ogura | Katsuhiko Shirahige | Shunsuke Ishii
Cell stem cell | 2014

Expression of Oct3/4, Sox2, Klf4, and c-Myc (OSKM) can reprogram somatic cells into induced pluripotent stem cells (iPSCs). Somatic cell nuclear transfer (SCNT) can also be used for reprogramming, suggesting that factors present in oocytes could potentially augment OSKM-mediated induction of pluripotency. Here, we report that two histone variants, TH2A and TH2B, which are highly expressed in oocytes and contribute to activation of the paternal genome after fertilization, enhance OSKM-dependent generation of iPSCs and can induce reprogramming with Klf4 and Oct3/4 alone. TH2A and TH2B are enriched on the X chromosome during the reprogramming process, and their expression in somatic cells increases the DNase I sensitivity of chromatin. In addition, Xist deficiency, which was reported to enhance SCNT reprogramming efficiency, stimulates iPSC generation using TH2A/TH2B in conjunction with OSKM, but not OSKM alone. Thus, TH2A/TH2B may enhance reprogramming by introducing processes that normally operate in zygotes and during SCNT.

Pubmed ID: 24506885

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UniGene (tool)

RRID:SCR_004405

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. Web tool for an organized view of the transcriptome. Collection of the computationally identified transcripts from the same locus. Information on protein similarities, gene expression, cDNA clones, and genomic location. System for automatically partitioning GenBank sequences into a non redundant set of gene oriented clusters.

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Gene Expression Omnibus (GEO) (tool)

RRID:SCR_007303

Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

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