Literature DB >> 30686579

The cis-Regulatory Atlas of the Mouse Immune System.

Hideyuki Yoshida1, Caleb A Lareau2, Ricardo N Ramirez3, Samuel A Rose4, Barbara Maier4, Aleksandra Wroblewska4, Fiona Desland4, Aleksey Chudnovskiy4, Arthur Mortha4, Claudia Dominguez5, Julie Tellier6, Edy Kim7, Dan Dwyer7, Susan Shinton8, Tsukasa Nabekura9, YiLin Qi10, Bingfei Yu11, Michelle Robinette12, Ki-Wook Kim12, Amy Wagers13, Andrew Rhoads3, Stephen L Nutt6, Brian D Brown4, Sara Mostafavi14, Jason D Buenrostro15, Christophe Benoist16.   

Abstract

A complete chart of cis-regulatory elements and their dynamic activity is necessary to understand the transcriptional basis of differentiation and function of an organ system. We generated matched epigenome and transcriptome measurements in 86 primary cell types that span the mouse immune system and its differentiation cascades. This breadth of data enable variance components analysis that suggests that genes fall into two distinct classes, controlled by either enhancer- or promoter-driven logic, and multiple regression that connects genes to the enhancers that regulate them. Relating transcription factor (TF) expression to the genome-wide accessibility of their binding motifs classifies them as predominantly openers or closers of local chromatin accessibility, pinpointing specific cis-regulatory elements where binding of given TFs is likely functionally relevant, validated by chromatin immunoprecipitation sequencing (ChIP-seq). Overall, this cis-regulatory atlas provides a trove of information on transcriptional regulation through immune differentiation and a foundational scaffold to define key regulatory events throughout the immunological genome.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ATAC-seq; Transcriptional regulation; chromatin; enhancer; epigenomics; immune cell differentiation; transcription factor

Mesh:

Substances:

Year:  2019        PMID: 30686579      PMCID: PMC6785993          DOI: 10.1016/j.cell.2018.12.036

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  108 in total

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Authors:  Melanie S Vacchio; Thomas Ciucci; Yayi Gao; Masashi Watanabe; Mariah Balmaceno-Criss; Mitchell T McGinty; Allan Huang; Qi Xiao; Cameron McConkey; Yongmei Zhao; Jyoti Shetty; Bao Tran; Marion Pepper; Golnaz Vahedi; Marc K Jenkins; Dorian B McGavern; Rémy Bosselut
Journal:  Immunity       Date:  2019-08-15       Impact factor: 31.745

Review 2.  Mapping chromatin modifications at the single cell level.

Authors:  Connor H Ludwig; Lacramioara Bintu
Journal:  Development       Date:  2019-06-27       Impact factor: 6.868

3.  Bhlhe40 and Bhlhe41 transcription factors regulate alveolar macrophage self-renewal and identity.

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Journal:  EMBO J       Date:  2019-08-15       Impact factor: 11.598

4.  The BACH1-HMOX1 Regulatory Axis Is Indispensable for Proper Macrophage Subtype Specification and Skeletal Muscle Regeneration.

Authors:  Andreas Patsalos; Petros Tzerpos; Laszlo Halasz; Gergely Nagy; Attila Pap; Nikolas Giannakis; Konstantina Lyroni; Vasiliki Koliaraki; Eva Pintye; Balazs Dezso; George Kollias; Charalampos G Spilianakis; Laszlo Nagy
Journal:  J Immunol       Date:  2019-08-12       Impact factor: 5.422

5.  Deep learning of immune cell differentiation.

Authors:  Alexandra Maslova; Ricardo N Ramirez; Ke Ma; Hugo Schmutz; Chendi Wang; Curtis Fox; Bernard Ng; Christophe Benoist; Sara Mostafavi
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-25       Impact factor: 11.205

6.  Dynamic control of the T-cell specification gene regulatory network.

Authors:  Ellen V Rothenberg
Journal:  Curr Opin Syst Biol       Date:  2019-11-06

7.  Common germline variants of the human APOE gene modulate melanoma progression and survival.

Authors:  Benjamin N Ostendorf; Jana Bilanovic; Nneoma Adaku; Kimia N Tafreshian; Bernardo Tavora; Roger D Vaughan; Sohail F Tavazoie
Journal:  Nat Med       Date:  2020-05-25       Impact factor: 53.440

Review 8.  Advances in Chromatin and Chromosome Research: Perspectives from Multiple Fields.

Authors:  Andrews Akwasi Agbleke; Assaf Amitai; Jason D Buenrostro; Aditi Chakrabarti; Lingluo Chu; Anders S Hansen; Kristen M Koenig; Ajay S Labade; Sirui Liu; Tadasu Nozaki; Sergey Ovchinnikov; Andrew Seeber; Haitham A Shaban; Jan-Hendrik Spille; Andrew D Stephens; Jun-Han Su; Dushan Wadduwage
Journal:  Mol Cell       Date:  2020-08-07       Impact factor: 17.970

9.  The murine Microenvironment Cell Population counter method to estimate abundance of tissue-infiltrating immune and stromal cell populations in murine samples using gene expression.

Authors:  Florent Petitprez; Sacha Levy; Cheng-Ming Sun; Maxime Meylan; Christophe Linhard; Etienne Becht; Nabila Elarouci; David Tavel; Lubka T Roumenina; Mira Ayadi; Catherine Sautès-Fridman; Wolf H Fridman; Aurélien de Reyniès
Journal:  Genome Med       Date:  2020-10-06       Impact factor: 11.117

10.  APEC: an accesson-based method for single-cell chromatin accessibility analysis.

Authors:  Bin Li; Young Li; Kun Li; Lianbang Zhu; Qiaoni Yu; Pengfei Cai; Jingwen Fang; Wen Zhang; Pengcheng Du; Chen Jiang; Jun Lin; Kun Qu
Journal:  Genome Biol       Date:  2020-05-12       Impact factor: 13.583

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