2017
DOI: 10.1016/j.stem.2017.09.005
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Evolutionarily Distinctive Transcriptional and Signaling Programs Drive Human Germ Cell Lineage Specification from Pluripotent Stem Cells

Abstract: Germline specification underlies human reproduction and evolution, but it has proven difficult to study in humans since it occurs shortly after blastocyst implantation. This process can be modeled with human induced pluripotent stem cells (hiPSCs) by differentiating them into primordial germ cell-like cells (hPGCLCs) through an incipient mesoderm-like cell (iMeLC) state. Here, we elucidate the key transcription factors and their interactions with important signaling pathways in driving hPGCLC differentiation f… Show more

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Cited by 149 publications
(237 citation statements)
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“…Other hallmarks of competency for PGC fate include expression of genes such as T and EOMES, which are observed in the nascent amnion (Kojima et al, 2017;Sasaki et al, 2016). These are also the functional transcription factors in the primitive streak at gastrulation across the mammalian species.…”
Section: On the Origin Of Human And Non-human Primate Pgcs In Vivomentioning
confidence: 99%
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“…Other hallmarks of competency for PGC fate include expression of genes such as T and EOMES, which are observed in the nascent amnion (Kojima et al, 2017;Sasaki et al, 2016). These are also the functional transcription factors in the primitive streak at gastrulation across the mammalian species.…”
Section: On the Origin Of Human And Non-human Primate Pgcs In Vivomentioning
confidence: 99%
“…The conserved PGC specifiers BLIMP1 and TFAP2C are also among the first factors crucial for hPGC fate. However, the regulatory networks that these factors operate within, as deduced from the analysis of mutant cells, and their likely targets are not identical to those in mPGCs Kojima et al, 2017;Sasaki et al, 2015;Tang et al, 2015). These features emphasise an evolutionary divergence of the transcription factor regulatory network in PGCs in mouse and human.…”
Section: Introductionmentioning
confidence: 97%
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