Literature DB >> 32330456

Absolute Quantification of Transcription Factors Reveals Principles of Gene Regulation in Erythropoiesis.

Mark A Gillespie1, Carmen G Palii2, Daniel Sanchez-Taltavull3, Paul Shannon1, William J R Longabaugh1, Damien J Downes4, Karthi Sivaraman5, Herbert M Espinoza1, Jim R Hughes4, Nathan D Price1, Theodore J Perkins6, Jeffrey A Ranish7, Marjorie Brand8.   

Abstract

Dynamic cellular processes such as differentiation are driven by changes in the abundances of transcription factors (TFs). However, despite years of studies, our knowledge about the protein copy number of TFs in the nucleus is limited. Here, by determining the absolute abundances of 103 TFs and co-factors during the course of human erythropoiesis, we provide a dynamic and quantitative scale for TFs in the nucleus. Furthermore, we establish the first gene regulatory network of cell fate commitment that integrates temporal protein stoichiometry data with mRNA measurements. The model revealed quantitative imbalances in TFs' cross-antagonistic relationships that underlie lineage determination. Finally, we made the surprising discovery that, in the nucleus, co-repressors are dramatically more abundant than co-activators at the protein level, but not at the RNA level, with profound implications for understanding transcriptional regulation. These analyses provide a unique quantitative framework to understand transcriptional regulation of cell differentiation in a dynamic context.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  absolute quantification; cell fate; erythropoiesis; gene regulatory network; hematopoiesis; protein stoichiometry; proteomics; stem cells; targeted mass spectrometry; transcription

Mesh:

Substances:

Year:  2020        PMID: 32330456      PMCID: PMC7344268          DOI: 10.1016/j.molcel.2020.03.031

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


  86 in total

1.  featureCounts: an efficient general purpose program for assigning sequence reads to genomic features.

Authors:  Yang Liao; Gordon K Smyth; Wei Shi
Journal:  Bioinformatics       Date:  2013-11-13       Impact factor: 6.937

Review 2.  Transcription factor networks in erythroid cell and megakaryocyte development.

Authors:  Louis C Doré; John D Crispino
Journal:  Blood       Date:  2011-05-26       Impact factor: 22.113

3.  Suboptimization of developmental enhancers.

Authors:  Emma K Farley; Katrina M Olson; Wei Zhang; Alexander J Brandt; Daniel S Rokhsar; Michael S Levine
Journal:  Science       Date:  2015-10-16       Impact factor: 47.728

4.  HISAT: a fast spliced aligner with low memory requirements.

Authors:  Daehwan Kim; Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2015-03-09       Impact factor: 28.547

5.  Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position.

Authors:  Jason D Buenrostro; Paul G Giresi; Lisa C Zaba; Howard Y Chang; William J Greenleaf
Journal:  Nat Methods       Date:  2013-10-06       Impact factor: 28.547

6.  Genetic dissection of the α-globin super-enhancer in vivo.

Authors:  Christian Babbs; James O J Davies; Bryony J Graham; Lars Hanssen; Mira T Kassouf; A Marieke Marieke Oudelaar; Jacqueline A Sharpe; Maria C Suciu; Jelena Telenius; Ruth Williams; Deborah Hay; Jim R Hughes; Christina Rode; Pik-Shan Li; Len A Pennacchio; Jacqueline A Sloane-Stanley; Helena Ayyub; Sue Butler; Tatjana Sauka-Spengler; Richard J Gibbons; Andrew J H Smith; William G Wood; Douglas R Higgs
Journal:  Nat Genet       Date:  2016-07-04       Impact factor: 38.330

Review 7.  From haematopoietic stem cells to complex differentiation landscapes.

Authors:  Elisa Laurenti; Berthold Göttgens
Journal:  Nature       Date:  2018-01-24       Impact factor: 49.962

8.  GeneHancer: genome-wide integration of enhancers and target genes in GeneCards.

Authors:  Simon Fishilevich; Ron Nudel; Noa Rappaport; Rotem Hadar; Inbar Plaschkes; Tsippi Iny Stein; Naomi Rosen; Asher Kohn; Michal Twik; Marilyn Safran; Doron Lancet; Dana Cohen
Journal:  Database (Oxford)       Date:  2017-01-01       Impact factor: 3.451

9.  Identification of transcription factor binding sites using ATAC-seq.

Authors:  Zhijian Li; Marcel H Schulz; Thomas Look; Matthias Begemann; Martin Zenke; Ivan G Costa
Journal:  Genome Biol       Date:  2019-02-26       Impact factor: 13.583

10.  Disruption of the MBD2-NuRD complex but not MBD3-NuRD induces high level HbF expression in human adult erythroid cells.

Authors:  Xiaofei Yu; Alexander Azzo; Stephanie M Bilinovich; Xia Li; Mikhail Dozmorov; Ryo Kurita; Yukio Nakamura; David C Williams; Gordon D Ginder
Journal:  Haematologica       Date:  2019-04-19       Impact factor: 9.941

View more
  29 in total

1.  Deficiencies in the DNA Binding Protein ARID3a Alter Chromatin Structures Important for Early Human Erythropoiesis.

Authors:  Joshua Garton; Malini Shankar; Brittany Chapman; Kira Rose; Patrick M Gaffney; Carol F Webb
Journal:  Immunohorizons       Date:  2021-10-18

Review 2.  Erythroid Cell Research: 3D Chromatin, Transcription Factors and Beyond.

Authors:  Charlotte Andrieu-Soler; Eric Soler
Journal:  Int J Mol Sci       Date:  2022-05-30       Impact factor: 6.208

3.  Savior Siblings Might Rescue Fetal Lethality But Not Adult Lymphoma in Irf2bp2-Null Mice.

Authors:  Ragnar O Vilmundarson; Niloufar Heydarikhorneh; An Duong; Tiffany Ho; Kianoosh Keyhanian; Fariborz Soheili; Hsiao-Huei Chen; Alexandre F R Stewart
Journal:  Front Immunol       Date:  2022-07-04       Impact factor: 8.786

4.  Hemogen/BRG1 cooperativity modulates promoter and enhancer activation during erythropoiesis.

Authors:  Xiang Guo; Yangu Zhao; Juhyun Kim; Ann Dean
Journal:  Blood       Date:  2022-06-16       Impact factor: 25.476

5.  Identification of the transcription factor MAZ as a regulator of erythropoiesis.

Authors:  Darya Deen; Falk Butter; Deborah E Daniels; Ivan Ferrer-Vicens; Daniel C J Ferguson; Michelle L Holland; Vasiliki Samara; Jacqueline A Sloane-Stanley; Helena Ayyub; Matthias Mann; Jan Frayne; David Garrick; Douglas Vernimmen
Journal:  Blood Adv       Date:  2021-08-10

Review 6.  Proteomic/transcriptomic analysis of erythropoiesis.

Authors:  Marjorie Brand; Jeffrey A Ranish
Journal:  Curr Opin Hematol       Date:  2021-05-01       Impact factor: 3.284

7.  ZNF410 represses fetal globin by singular control of CHD4.

Authors:  Divya S Vinjamur; Qiuming Yao; Mitchel A Cole; Connor McGuckin; Chunyan Ren; Jing Zeng; Mir Hossain; Kevin Luk; Scot A Wolfe; Luca Pinello; Daniel E Bauer
Journal:  Nat Genet       Date:  2021-04-15       Impact factor: 38.330

8.  Epigenetic activities in erythroid cell gene regulation.

Authors:  Yu Wang; Lei Yu; James Douglas Engel; Sharon A Singh
Journal:  Semin Hematol       Date:  2020-12-15       Impact factor: 3.851

9.  Chemical Screen Identifies Diverse and Novel Histone Deacetylase Inhibitors as Repressors of NUT Function: Implications for NUT Carcinoma Pathogenesis and Treatment.

Authors:  Hitoshi Shiota; Artyom A Alekseyenko; Zhipeng A Wang; Ivona Filic; Tatiana M Knox; Nhi M Luong; Yeying Huang; David A Scott; Kristen L Jones; Prafulla C Gokhale; Madeleine E Lemieux; Philip A Cole; Mitzi I Kuroda; Christopher A French
Journal:  Mol Cancer Res       Date:  2021-07-20       Impact factor: 5.852

10.  How haematopoiesis research became a fertile ground for regulatory network biology as pioneered by Eric Davidson.

Authors:  Ellen V Rothenberg; Berthold Göttgens
Journal:  Curr Opin Hematol       Date:  2021-01       Impact factor: 3.218

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.