Literature DB >> 27916660

Isoform Switch of TET1 Regulates DNA Demethylation and Mouse Development.

Wenhao Zhang1, Weikun Xia1, Qiujun Wang1, Aaron J Towers2, Jiayu Chen3, Rui Gao4, Yu Zhang1, Chia-An Yen5, Ah Young Lee5, Yuanyuan Li1, Chen Zhou1, Kaili Liu1, Jing Zhang6, Tian-Peng Gu7, Xiuqi Chen1, Zai Chang6, Danny Leung8, Shaorong Gao3, Yong-Hui Jiang9, Wei Xie10.   

Abstract

The methylcytosine oxidase TET proteins play important roles in DNA demethylation and development. However, it remains elusive how exactly they target substrates and execute oxidation. Interestingly, we found that, in mice, the full-length TET1 isoform (TET1e) is restricted to early embryos, embryonic stem cells (ESCs), and primordial germ cells (PGCs). By contrast, a short isoform (TET1s) is preferentially expressed in somatic cells, which lacks the N terminus including the CXXC domain, a DNA-binding module that often recognizes CpG islands (CGIs) where TET1 predominantly occupies. Unexpectedly, TET1s can still bind CGIs despite the fact that its global chromatin binding is significantly reduced. Interestingly, global chromatin binding, but not targeted binding at CGIs, is correlated with TET1-mediated demethylation. Finally, mice with exclusive expression of Tet1s failed to erase imprints in PGCs and displayed developmental defects in progeny. These data show that isoform switch of TET1 regulates epigenetic memory erasure and mouse development.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  DNA methylation; Tet1; epigenetics; imprinting; isoform switch

Mesh:

Substances:

Year:  2016        PMID: 27916660     DOI: 10.1016/j.molcel.2016.10.030

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  41 in total

1.  Epigenetic dysregulation of Oxtr in Tet1-deficient mice has implications for neuropsychiatric disorders.

Authors:  Aaron J Towers; Martine W Tremblay; Leeyup Chung; Xin-Lei Li; Alexandra L Bey; Wenhao Zhang; Xinyu Cao; Xiaoming Wang; Ping Wang; Lara J Duffney; Stephen K Siecinski; Sonia Xu; Yuna Kim; Xiangyin Kong; Simon Gregory; Wei Xie; Yong-Hui Jiang
Journal:  JCI Insight       Date:  2018-12-06

Review 2.  The TET enzymes.

Authors:  Peppi Koivunen; Tuomas Laukka
Journal:  Cell Mol Life Sci       Date:  2017-11-28       Impact factor: 9.261

Review 3.  Uncovering epigenetic landscape: a new path for biomarkers identification and drug development.

Authors:  Daiane Teixeira de Oliveira; Renata Guerra-Sá
Journal:  Mol Biol Rep       Date:  2020-10-21       Impact factor: 2.316

4.  Imprinted gene dysregulation in a Tet1 null mouse model is stochastic and variable in the germline and offspring.

Authors:  Jennifer M SanMiguel; Lara K Abramowitz; Marisa S Bartolomei
Journal:  Development       Date:  2018-03-29       Impact factor: 6.868

5.  SUMOylation coordinates BERosome assembly in active DNA demethylation during cell differentiation.

Authors:  Roland Steinacher; Zeinab Barekati; Petar Botev; Anna Kuśnierczyk; Geir Slupphaug; Primo Schär
Journal:  EMBO J       Date:  2018-12-06       Impact factor: 11.598

Review 6.  TET-mediated active DNA demethylation: mechanism, function and beyond.

Authors:  Xiaoji Wu; Yi Zhang
Journal:  Nat Rev Genet       Date:  2017-05-30       Impact factor: 53.242

7.  The N-terminal domain of TET1 promotes the formation of dense chromatin regions refractory to transcription.

Authors:  Audrey Lejart; Siham Zentout; Catherine Chapuis; Ostiane D'Augustin; Rebecca Smith; Gilles Salbert; Sébastien Huet
Journal:  Chromosoma       Date:  2022-03-02       Impact factor: 4.316

8.  An epigenetic switch repressing Tet1 in gonadotropes activates the reproductive axis.

Authors:  Yahav Yosefzon; Cfir David; Anna Tsukerman; Lilach Pnueli; Sen Qiao; Ulrich Boehm; Philippa Melamed
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-30       Impact factor: 11.205

Review 9.  The role of α-ketoglutarate-dependent proteins in pluripotency acquisition and maintenance.

Authors:  Khoa A Tran; Caleb M Dillingham; Rupa Sridharan
Journal:  J Biol Chem       Date:  2018-09-04       Impact factor: 5.157

10.  DIRECTION: a machine learning framework for predicting and characterizing DNA methylation and hydroxymethylation in mammalian genomes.

Authors:  Milos Pavlovic; Pradipta Ray; Kristina Pavlovic; Aaron Kotamarti; Min Chen; Michael Q Zhang
Journal:  Bioinformatics       Date:  2017-10-01       Impact factor: 6.937

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