Literature DB >> 35182476

EBF1 nuclear repositioning instructs chromatin refolding to promote therapy resistance in T leukemic cells.

Yeqiao Zhou1, Jelena Petrovic1, Jingru Zhao1, Wu Zhang2, Ashkan Bigdeli1, Zhen Zhang3, Shelley L Berger3, Warren S Pear2, Robert B Faryabi4.   

Abstract

Chromatin misfolding has been implicated in cancer pathogenesis; yet, its role in therapy resistance remains unclear. Here, we systematically integrated sequencing and imaging data to examine the spatial and linear chromatin structures in targeted therapy-sensitive and -resistant human T cell acute lymphoblastic leukemia (T-ALL). We found widespread alterations in successive layers of chromatin organization including spatial compartments, contact domain boundaries, and enhancer positioning upon the emergence of targeted therapy resistance. The reorganization of genome folding structures closely coincides with the restructuring of chromatin activity and redistribution of architectural proteins. Mechanistically, the derepression and repositioning of the B-lineage-determining transcription factor EBF1 from the heterochromatic nuclear envelope to the euchromatic interior instructs widespread genome refolding and promotes therapy resistance in leukemic T cells. Together, our findings suggest that lineage-determining transcription factors can instruct changes in genome topology as a driving force for epigenetic adaptations in targeted therapy resistance.
Copyright © 2022 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  EBF1; T cell leukemia; TCF1; chromatin folding; drug resistance; epigenetic adaptation; genome topology; lineage-determining transcription factors; pioneer transcription factors; targeted therapy

Mesh:

Substances:

Year:  2022        PMID: 35182476      PMCID: PMC8897266          DOI: 10.1016/j.molcel.2022.01.015

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


  77 in total

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Review 2.  The three-dimensional cancer genome.

Authors:  M Ryan Corces; Victor G Corces
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3.  A global network of transcription factors, involving E2A, EBF1 and Foxo1, that orchestrates B cell fate.

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Journal:  Nat Immunol       Date:  2010-06-13       Impact factor: 25.606

4.  Comprehensive mapping of long-range interactions reveals folding principles of the human genome.

Authors:  Erez Lieberman-Aiden; Nynke L van Berkum; Louise Williams; Maxim Imakaev; Tobias Ragoczy; Agnes Telling; Ido Amit; Bryan R Lajoie; Peter J Sabo; Michael O Dorschner; Richard Sandstrom; Bradley Bernstein; M A Bender; Mark Groudine; Andreas Gnirke; John Stamatoyannopoulos; Leonid A Mirny; Eric S Lander; Job Dekker
Journal:  Science       Date:  2009-10-09       Impact factor: 47.728

5.  Genetic Variation in Type 1 Diabetes Reconfigures the 3D Chromatin Organization of T Cells and Alters Gene Expression.

Authors:  Maria Fasolino; Naomi Goldman; Wenliang Wang; Benjamin Cattau; Yeqiao Zhou; Jelena Petrovic; Verena M Link; Allison Cote; Aditi Chandra; Michael Silverman; Eric F Joyce; Shawn C Little; Klaus H Kaestner; Ali Naji; Arjun Raj; Jorge Henao-Mejia; Robert B Faryabi; Golnaz Vahedi
Journal:  Immunity       Date:  2020-02-11       Impact factor: 31.745

6.  A framework for variation discovery and genotyping using next-generation DNA sequencing data.

Authors:  Mark A DePristo; Eric Banks; Ryan Poplin; Kiran V Garimella; Jared R Maguire; Christopher Hartl; Anthony A Philippakis; Guillermo del Angel; Manuel A Rivas; Matt Hanna; Aaron McKenna; Tim J Fennell; Andrew M Kernytsky; Andrey Y Sivachenko; Kristian Cibulskis; Stacey B Gabriel; David Altshuler; Mark J Daly
Journal:  Nat Genet       Date:  2011-04-10       Impact factor: 38.330

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Journal:  Nature       Date:  2012-04-11       Impact factor: 49.962

8.  The chromatin remodeler Brg1 activates enhancer repertoires to establish B cell identity and modulate cell growth.

Authors:  Claudia Bossen; Caroline S Murre; Aaron N Chang; Robert Mansson; Hans-Reimer Rodewald; Cornelis Murre
Journal:  Nat Immunol       Date:  2015-05-18       Impact factor: 25.606

9.  Coolpup.py: versatile pile-up analysis of Hi-C data.

Authors:  Ilya M Flyamer; Robert S Illingworth; Wendy A Bickmore
Journal:  Bioinformatics       Date:  2020-05-01       Impact factor: 6.937

10.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

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  2 in total

Review 1.  Three-dimensional genome organization in immune cell fate and function.

Authors:  Sergi Cuartero; Grégoire Stik; Ralph Stadhouders
Journal:  Nat Rev Immunol       Date:  2022-09-20       Impact factor: 108.555

2.  TCF-1 promotes chromatin interactions across topologically associating domains in T cell progenitors.

Authors:  Wenliang Wang; Aditi Chandra; Naomi Goldman; Sora Yoon; Emily K Ferrari; Son C Nguyen; Eric F Joyce; Golnaz Vahedi
Journal:  Nat Immunol       Date:  2022-06-20       Impact factor: 31.250

  2 in total

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