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Norway

PMID:25569111  

Stem cells. m6A mRNA methylation facilitates resolution of naïve pluripotency toward differentiation.

Shay Geula | Sharon Moshitch-Moshkovitz | Dan Dominissini | Abed AlFatah Mansour | Nitzan Kol | Mali Salmon-Divon | Vera Hershkovitz | Eyal Peer | Nofar Mor | Yair S Manor | Moshe Shay Ben-Haim | Eran Eyal | Sharon Yunger | Yishay Pinto | Diego Adhemar Jaitin | Sergey Viukov | Yoach Rais | Vladislav Krupalnik | Elad Chomsky | Mirie Zerbib | Itay Maza | Yoav Rechavi | Rada Massarwa | Suhair Hanna | Ido Amit | Erez Y Levanon | Ninette Amariglio | Noam Stern-Ginossar | Noa Novershtern | Gideon Rechavi | Jacob H Hanna
Science (New York, N.Y.) | 2015

Naïve and primed pluripotent states retain distinct molecular properties, yet limited knowledge exists on how their state transitions are regulated. Here, we identify Mettl3, an N(6)-methyladenosine (m(6)A) transferase, as a regulator for terminating murine naïve pluripotency. Mettl3 knockout preimplantation epiblasts and naïve embryonic stem cells are depleted for m(6)A in mRNAs, yet are viable. However, they fail to adequately terminate their naïve state and, subsequently, undergo aberrant and restricted lineage priming at the postimplantation stage, which leads to early embryonic lethality. m(6)A predominantly and directly reduces mRNA stability, including that of key naïve pluripotency-promoting transcripts. This study highlights a critical role for an mRNA epigenetic modification in vivo and identifies regulatory modules that functionally influence naïve and primed pluripotency in an opposing manner.

Pubmed ID: 25569111

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Gene Expression Omnibus (GEO) (tool)

RRID:SCR_005012

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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