Literature DB >> 33284441

Using GRO-Seq to Measure Circadian Transcription and Discover Circadian Enhancers.

Bin Fang1,2,3, Dongyin Guan1, Mitchell A Lazar4,5.   

Abstract

Circadian gene transcription transmits timing information and drives cyclic physiological processes across various tissues. Recent studies indicate that oscillating enhancer activity is a major driving force of rhythmic gene transcription. Functional circadian enhancers can be identified in an unbiased manner by correlation with the rhythms of nearby gene transcription.Global run-on sequencing (GRO-seq) measures nascent transcription of both pre-mRNAs and enhancer RNAs (eRNAs) at a genome-wide level, making it a unique tool for unraveling complex gene regulation mechanisms in vivo. Here, we describe a comprehensive protocol, ranging from wet lab to in silico analysis, for detecting and quantifying circadian transcription of genes and eRNAs. Moreover, using gene-eRNA correlation, we detail the steps necessary to identify functional enhancers and transcription factors (TFs) that control circadian gene expression in vivo. While we use mouse liver as an example, this protocol is applicable for multiple tissues.

Entities:  

Keywords:  Circadian; Enhancer RNA; Global run-on sequencing; Nascent RNA; Transcription factor

Mesh:

Substances:

Year:  2021        PMID: 33284441      PMCID: PMC8073214          DOI: 10.1007/978-1-0716-0381-9_10

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


  31 in total

Review 1.  Clocks not winding down: unravelling circadian networks.

Authors:  Eric E Zhang; Steve A Kay
Journal:  Nat Rev Mol Cell Biol       Date:  2010-11       Impact factor: 94.444

2.  Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities.

Authors:  Sven Heinz; Christopher Benner; Nathanael Spann; Eric Bertolino; Yin C Lin; Peter Laslo; Jason X Cheng; Cornelis Murre; Harinder Singh; Christopher K Glass
Journal:  Mol Cell       Date:  2010-05-28       Impact factor: 17.970

3.  A circadian rhythm orchestrated by histone deacetylase 3 controls hepatic lipid metabolism.

Authors:  Dan Feng; Tao Liu; Zheng Sun; Anne Bugge; Shannon E Mullican; Theresa Alenghat; X Shirley Liu; Mitchell A Lazar
Journal:  Science       Date:  2011-03-11       Impact factor: 47.728

Review 4.  Modification of enhancer chromatin: what, how, and why?

Authors:  Eliezer Calo; Joanna Wysocka
Journal:  Mol Cell       Date:  2013-03-07       Impact factor: 17.970

5.  Circadian oscillations of protein-coding and regulatory RNAs in a highly dynamic mammalian liver epigenome.

Authors:  Christopher Vollmers; Robert J Schmitz; Jason Nathanson; Gene Yeo; Joseph R Ecker; Satchidananda Panda
Journal:  Cell Metab       Date:  2012-12-05       Impact factor: 27.287

6.  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

7.  Identification of a binding motif specific to HNF4 by comparative analysis of multiple nuclear receptors.

Authors:  Bin Fang; Daniel Mane-Padros; Eugene Bolotin; Tao Jiang; Frances M Sladek
Journal:  Nucleic Acids Res       Date:  2012-03-01       Impact factor: 16.971

8.  Anti-diabetic rosiglitazone remodels the adipocyte transcriptome by redistributing transcription to PPARγ-driven enhancers.

Authors:  Sonia E Step; Hee-Woong Lim; Jill M Marinis; Andreas Prokesch; David J Steger; Seo-Hee You; Kyoung-Jae Won; Mitchell A Lazar
Journal:  Genes Dev       Date:  2014-05-01       Impact factor: 11.361

9.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

10.  Nascent-Seq reveals novel features of mouse circadian transcriptional regulation.

Authors:  Jerome S Menet; Joseph Rodriguez; Katharine C Abruzzi; Michael Rosbash
Journal:  Elife       Date:  2012-11-13       Impact factor: 8.140

View more
  2 in total

1.  Global-run on sequencing identifies Gm11967 as an Akt-dependent long noncoding RNA involved in insulin sensitivity.

Authors:  Dominic Santoleri; Hee-Woong Lim; Matthew J Emmett; Julian Stoute; Matthew J Gavin; Jaimarie Sostre-Colón; Kahealani Uehara; Jaclyn E Welles; Kathy Fange Liu; Mitchell A Lazar; Paul M Titchenell
Journal:  iScience       Date:  2022-05-16

2.  In silico integrative analysis of multi-omics reveals regulatory layers for diurnal gene expression in mouse liver.

Authors:  Chunjie Jiang; Panpan Liu; Cam Mong La; Dongyin Guan
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-22       Impact factor: 6.055

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.