Literature DB >> 35167097

Analysis of Enhancers and Transcriptional Networks in Thermogenic Adipocytes.

Anne Loft1,2, Maja Worm Andersen3, Jesper Grud Skat Madsen3,4, Susanne Mandrup5,6.   

Abstract

Transcription factor (TF) networks orchestrate the regulation of gene programs in mammalian cells, including white and brown adipocytes. In this protocol, we outline how genomics and transcriptomics data can be integrated to infer causal TFs of a given cellular response or cell type using "Integrated analysis of Motif Activity and Gene Expression changes of transcription factors" (IMAGE). Here, we show how key regulatory TFs controlling white and brown adipocyte gene programs can be predicted from chromatin accessibility and RNA-seq data. Furthermore, we demonstrate how information about target sites and target genes of the predicted key regulators can be integrated to propose testable hypotheses regarding the role and mechanisms of TFs.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Chromatin accessibility; Enhancer activity; Genome-wide sequencing; IMAGE; Motif activity; Transcription factor; Transcriptional regulation

Mesh:

Substances:

Year:  2022        PMID: 35167097     DOI: 10.1007/978-1-0716-2087-8_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  41 in total

1.  Genome-wide mapping of DNase hypersensitive sites using massively parallel signature sequencing (MPSS).

Authors:  Gregory E Crawford; Ingeborg E Holt; James Whittle; Bryn D Webb; Denise Tai; Sean Davis; Elliott H Margulies; YiDong Chen; John A Bernat; David Ginsburg; Daixing Zhou; Shujun Luo; Thomas J Vasicek; Mark J Daly; Tyra G Wolfsberg; Francis S Collins
Journal:  Genome Res       Date:  2005-12-12       Impact factor: 9.043

2.  High-resolution mapping and characterization of open chromatin across the genome.

Authors:  Alan P Boyle; Sean Davis; Hennady P Shulha; Paul Meltzer; Elliott H Margulies; Zhiping Weng; Terrence S Furey; Gregory E Crawford
Journal:  Cell       Date:  2008-01-25       Impact factor: 41.582

3.  FAIRE (Formaldehyde-Assisted Isolation of Regulatory Elements) isolates active regulatory elements from human chromatin.

Authors:  Paul G Giresi; Jonghwan Kim; Ryan M McDaniell; Vishwanath R Iyer; Jason D Lieb
Journal:  Genome Res       Date:  2006-12-19       Impact factor: 9.043

Review 4.  RNA sequencing: the teenage years.

Authors:  Rory Stark; Marta Grzelak; James Hadfield
Journal:  Nat Rev Genet       Date:  2019-07-24       Impact factor: 53.242

Review 5.  Genome-Wide Insights into the Development and Function of Thermogenic Adipocytes.

Authors:  Anne Loft; Isabel Forss; Susanne Mandrup
Journal:  Trends Endocrinol Metab       Date:  2016-12-12       Impact factor: 12.015

Review 6.  Advancements in Next-Generation Sequencing.

Authors:  Shawn E Levy; Richard M Myers
Journal:  Annu Rev Genomics Hum Genet       Date:  2016-06-09       Impact factor: 8.929

7.  EnhancerAtlas 2.0: an updated resource with enhancer annotation in 586 tissue/cell types across nine species.

Authors:  Tianshun Gao; Jiang Qian
Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

Review 8.  Brown Fat and Browning for the Treatment of Obesity and Related Metabolic Disorders.

Authors:  So Hun Kim; Jorge Plutzky
Journal:  Diabetes Metab J       Date:  2016-02       Impact factor: 5.376

9.  Global mapping of protein-DNA interactions in vivo by digital genomic footprinting.

Authors:  Jay R Hesselberth; Xiaoyu Chen; Zhihong Zhang; Peter J Sabo; Richard Sandstrom; Alex P Reynolds; Robert E Thurman; Shane Neph; Michael S Kuehn; William S Noble; Stanley Fields; John A Stamatoyannopoulos
Journal:  Nat Methods       Date:  2009-03-22       Impact factor: 28.547

10.  Systematic identification of silencers in human cells.

Authors:  Baoxu Pang; Michael P Snyder
Journal:  Nat Genet       Date:  2020-02-24       Impact factor: 38.330

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