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A tripartite transcription factor network regulates primordial germ cell specification in mice.


ABSTRACT: Transitions in cell states are controlled by combinatorial actions of transcription factors. BLIMP1, the key regulator of primordial germ cell (PGC) specification, apparently acts together with PRDM14 and AP2?. To investigate their individual and combinatorial functions, we first sought an in vitro system for transcriptional readouts and chromatin immunoprecipitation sequencing analysis. We then integrated this data with information from single-cell transcriptome analysis of normal and mutant PGCs. Here we show that BLIMP1 binds directly to repress somatic and cell proliferation genes. It also directly induces AP2?, which together with PRDM14 initiates the PGC-specific fate. We determined the occupancy of critical genes by AP2?-which, when computed altogether with those of BLIMP1 and PRDM14 (both individually and cooperatively), reveals a tripartite mutually interdependent transcriptional network for PGCs. We also demonstrate that, in principle, BLIMP1, AP2? and PRDM14 are sufficient for PGC specification, and the unprecedented resetting of the epigenome towards a basal state.

SUBMITTER: Magnusdottir E 

PROVIDER: S-EPMC3796875 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature

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A tripartite transcription factor network regulates primordial germ cell specification in mice.

Magnúsdóttir Erna E   Dietmann Sabine S   Murakami Kazuhiro K   Günesdogan Ufuk U   Tang Fuchou F   Bao Siqin S   Diamanti Evangelia E   Lao Kaiqin K   Gottgens Berthold B   Azim Surani M M  

Nature cell biology 20130714 8


Transitions in cell states are controlled by combinatorial actions of transcription factors. BLIMP1, the key regulator of primordial germ cell (PGC) specification, apparently acts together with PRDM14 and AP2γ. To investigate their individual and combinatorial functions, we first sought an in vitro system for transcriptional readouts and chromatin immunoprecipitation sequencing analysis. We then integrated this data with information from single-cell transcriptome analysis of normal and mutant PG  ...[more]

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