Evidence map›Paper›PMID 35908548›Full record

ArticleCell2022

The intrinsic and extrinsic effects of TET proteins during gastrulation.

Saifeng Cheng, Markus Mittnenzweig, Yoav Mayshar, Aviezer Lifshitz, Marko Dunjić, Yoach Rais, Raz Ben-Yair, Stephanie Gehrs, Elad Chomsky, Zohar Mukamel and 6 more

Abstract read
In one paragraph

Article in Cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
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  5. Review
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  11. Article
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  14. Tim4 deficiency reduces CD301bInternational journal of oral science · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Saifeng ChengDepartment of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Markus MittnenzweigDepartment of Computer Science and Applied Mathematics and Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Yoav MaysharDepartment of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Aviezer LifshitzDepartment of Computer Science and Applied Mathematics and Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Marko DunjićDepartment of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Yoach RaisDepartment of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Raz Ben-YairDepartment of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Stephanie GehrsDivision of Vascular Oncology and Metastasis, German Cancer Research Center (DKFZ), Heidelberg, Germany; European Center for Angioscience (ECAS), Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
Elad ChomskyDepartment of Computer Science and Applied Mathematics and Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Zohar MukamelDepartment of Computer Science and Applied Mathematics and Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Hernan RubinsteinDepartment of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Katharina SchlerethDivision of Vascular Oncology and Metastasis, German Cancer Research Center (DKFZ), Heidelberg, Germany; European Center for Angioscience (ECAS), Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
Netta ReinesDepartment of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Ayelet-Hashahar OrenbuchDepartment of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel.
Amos TanayDepartment of Computer Science and Applied Mathematics and Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel. Electronic address: amos.tanay@weizmann.ac.il.
Yonatan StelzerDepartment of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel. Electronic address: yonatan.stelzer@weizmann.ac.il.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mice deficient for all ten-eleven translocation (TET) genes exhibit early gastrulation lethality. However, separating cause and effect in such embryonic failure is challenging. To isolate cell-autonomous effects of TET loss, we used temporal single-cell atlases from embryos with partial or complete mutant contributions. Strikingly, when developing within a wild-type embryo, Tet-mutant cells retain near-complete differentiation potential, whereas embryos solely comprising mutant cells are defective in epiblast to ectoderm transition with degenerated mesoderm potential. We map de-repressions of early epiblast factors (e.g., Dppa4 and Gdf3) and failure to activate multiple signaling from nascent mesoderm (Lefty, FGF, and Notch) as likely cell-intrinsic drivers of TET loss phenotypes. We further suggest loss of enhancer demethylation as the underlying mechanism. Collectively, our work demonstrates an unbiased approach for defining intrinsic and extrinsic embryonic gene function based on temporal differentiation atlases and disentangles the intracellular effects of the demethylation machinery from its broader tissue-level ramifications.

Indexed as

GastrulationMesodermAnimalsCell DifferentiationEmbryo, MammalianGene Expression Regulation, DevelopmentalMiceNuclear ProteinsSignal TransductionDppa4 protein, mouseNuclear Proteinscell fate decisionsdevelopmental biologyDNA demethylationepigeneticsgenome editingmouse gastrulationsingle-cell genomicsstem cells

Identifiers

PMID35908548
PMCPMC9432429

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.