Resetting transcription factor control circuitry toward ground-state pluripotency in human.
Resetting transcription factor control circuitry toward ground-state pluripotency in human.
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DOI:
10.1016/j.cell.2014.08.029
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发表时间:
2014-09-11
期刊:
影响因子:
64.5
通讯作者:
Smith A
中科院分区:
文献类型:
--
作者:
Takashima Y;Guo G;Loos R;Nichols J;Ficz G;Krueger F;Oxley D;Santos F;Clarke J;Mansfield W;Reik W;Bertone P;Smith A
Current human pluripotent stem cells lack the transcription factor circuitry that governs the ground state of mouse embryonic stem cells (ESC). Here, we report that short-term expression of two components, NANOG and KLF2, is sufficient to ignite other elements of the network and reset the human pluripotent state. Inhibition of ERK and protein kinase C sustains a transgene-independent rewired state. Reset cells self-renew continuously without ERK signaling, are phenotypically stable, and are karyotypically intact. They differentiate in vitro and form teratomas in vivo. Metabolism is reprogrammed with activation of mitochondrial respiration as in ESC. DNA methylation is dramatically reduced and transcriptome state is globally realigned across multiple cell lines. Depletion of ground-state transcription factors, TFCP2L1 or KLF4, has marginal impact on conventional human pluripotent stem cells but collapses the reset state. These findings demonstrate feasibility of installing and propagating functional control circuitry for ground-state pluripotency in human cells. Transcription factor circuitry is rewired in human pluripotent stem cells Transcriptome and metabolism are similar to mouse ground-state embryonic stem cells Genome-wide hypomethylation in reset cells indicates global epigenetic erasure Reset human cells can incorporate into mouse preimplantation epiblast Invoking the transcription factor circuitry that defines mouse embryonic stem cell identity converts human pluripotent cells to a more naive state, characterized by altered transcriptional and metabolic activity, absence of lineage priming, and global DNA hypomethylation.
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影响因子:
21.3
作者:
Boroviak T;Loos R;Bertone P;Smith A;Nichols J
通讯作者:
Nichols J
DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
14.9
作者:
Flicek P;Amode MR;Barrell D;Beal K;Billis K;Brent S;Carvalho-Silva D;Clapham P;Coates G;Fitzgerald S;Gil L;Girón CG;Gordon L;Hourlier T;Hunt S;Johnson N;Juettemann T;Kähäri AK;Keenan S;Kulesha E;Martin FJ;Maurel T;McLaren WM;Murphy DN;Nag R;Overduin B;Pignatelli M;Pritchard B;Pritchard E;Riat HS;Ruffier M;Sheppard D;Taylor K;Thormann A;Trevanion SJ;Vullo A;Wilder SP;Wilson M;Zadissa A;Aken BL;Birney E;Cunningham F;Harrow J;Herrero J;Hubbard TJ;Kinsella R;Muffato M;Parker A;Spudich G;Yates A;Zerbino DR;Searle SM
通讯作者:
Searle SM
影响因子:
7
作者:
Harrow J;Frankish A;Gonzalez JM;Tapanari E;Diekhans M;Kokocinski F;Aken BL;Barrell D;Zadissa A;Searle S;Barnes I;Bignell A;Boychenko V;Hunt T;Kay M;Mukherjee G;Rajan J;Despacio-Reyes G;Saunders G;Steward C;Harte R;Lin M;Howald C;Tanzer A;Derrien T;Chrast J;Walters N;Balasubramanian S;Pei B;Tress M;Rodriguez JM;Ezkurdia I;van Baren J;Brent M;Haussler D;Kellis M;Valencia A;Reymond A;Gerstein M;Guigó R;Hubbard TJ
通讯作者:
Hubbard TJ
影响因子:
48
作者:
Engstrom, Par G.;Steijger, Tamara;Sipos, Botond;Grant, Gregory R.;Kahles, Andre;Raetsch, Gunnar;Goldman, Nick;Hubbard, Tim J.;Harrow, Jennifer;Guigo, Roderic;Bertone, Paul
通讯作者:
Bertone, Paul