Literature DB >> 34382182

Global Run-on Sequencing (GRO-Seq).

Petros Tzerpos1, Bence Daniel2,3, Laszlo Nagy4,5.   

Abstract

Post-transcriptional processing strongly affects the stability and the relative quantification of RNA molecules, so that steady-state levels of mature RNA, such as mRNAs, rarely reflect accurately the rate of in situ transcription in nuclei by RNA polymerases (RNAPs). The "Global Run-on Sequencing (GRO-Seq)" method, developed in 2008, combines the nuclear run-on assay with next-generation deep sequencing to detect nascent RNA levels to annotate the positions, the relative levels and the orientation of transcriptionally engaged RNA polymerase II (RNAPII) molecules genome-wide. Thus, GRO-Seq is a powerful method to infer mechanistic insights into the multiple levels of transcriptional regulation such as promoter-proximal pausing of RNAP, bidirectional transcription, and enhancer activity. Here, we describe a protocol for mammalian cells that can reliably detect low abundant nascent RNA from both coding and noncoding genomic regions. This protocol can easily be adapted for most mammalian cells to define the transcriptionally active regions of the genome and to measure dynamic transcriptional responses with high sensitivity upon external stimuli.
© 2021. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Enhancer RNA; Nascent RNA; Noncoding RNA; Nuclear run-on; Promoter RNA; RNA polymerase; Transcription; mRNA

Mesh:

Substances:

Year:  2021        PMID: 34382182     DOI: 10.1007/978-1-0716-1597-3_2

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


  13 in total

1.  Nascent RNA sequencing reveals widespread pausing and divergent initiation at human promoters.

Authors:  Leighton J Core; Joshua J Waterfall; John T Lis
Journal:  Science       Date:  2008-12-04       Impact factor: 47.728

2.  Transcription regulation through promoter-proximal pausing of RNA polymerase II.

Authors:  Leighton J Core; John T Lis
Journal:  Science       Date:  2008-03-28       Impact factor: 47.728

3.  Precise maps of RNA polymerase reveal how promoters direct initiation and pausing.

Authors:  Hojoong Kwak; Nicholas J Fuda; Leighton J Core; John T Lis
Journal:  Science       Date:  2013-02-22       Impact factor: 47.728

4.  A rapid, extensive, and transient transcriptional response to estrogen signaling in breast cancer cells.

Authors:  Nasun Hah; Charles G Danko; Leighton Core; Joshua J Waterfall; Adam Siepel; John T Lis; W Lee Kraus
Journal:  Cell       Date:  2011-05-05       Impact factor: 41.582

5.  Defining the status of RNA polymerase at promoters.

Authors:  Leighton J Core; Joshua J Waterfall; Daniel A Gilchrist; David C Fargo; Hojoong Kwak; Karen Adelman; John T Lis
Journal:  Cell Rep       Date:  2012-10-10       Impact factor: 9.423

6.  Critical Role of Transcript Cleavage in Arabidopsis RNA Polymerase II Transcriptional Elongation.

Authors:  Wojciech Antosz; Jules Deforges; Kevin Begcy; Astrid Bruckmann; Yves Poirier; Thomas Dresselhaus; Klaus D Grasser
Journal:  Plant Cell       Date:  2020-03-09       Impact factor: 11.277

7.  Pol II docking and pausing at growth and stress genes in C. elegans.

Authors:  Colin S Maxwell; William S Kruesi; Leighton J Core; Nicole Kurhanewicz; Colin T Waters; Caitlin L Lewarch; Igor Antoshechkin; John T Lis; Barbara J Meyer; L Ryan Baugh
Journal:  Cell Rep       Date:  2014-01-30       Impact factor: 9.423

8.  Identification of active transcriptional regulatory elements from GRO-seq data.

Authors:  Charles G Danko; Stephanie L Hyland; Leighton J Core; Andre L Martins; Colin T Waters; Hyung Won Lee; Vivian G Cheung; W Lee Kraus; John T Lis; Adam Siepel
Journal:  Nat Methods       Date:  2015-03-23       Impact factor: 28.547

9.  Reprogramming transcription by distinct classes of enhancers functionally defined by eRNA.

Authors:  Dong Wang; Ivan Garcia-Bassets; Chris Benner; Wenbo Li; Xue Su; Yiming Zhou; Jinsong Qiu; Wen Liu; Minna U Kaikkonen; Kenneth A Ohgi; Christopher K Glass; Michael G Rosenfeld; Xiang-Dong Fu
Journal:  Nature       Date:  2011-05-15       Impact factor: 49.962

10.  Rev-Erbs repress macrophage gene expression by inhibiting enhancer-directed transcription.

Authors:  Michael T Y Lam; Han Cho; Hanna P Lesch; David Gosselin; Sven Heinz; Yumiko Tanaka-Oishi; Christopher Benner; Minna U Kaikkonen; Aneeza S Kim; Mika Kosaka; Cindy Y Lee; Andy Watt; Tamar R Grossman; Michael G Rosenfeld; Ronald M Evans; Christopher K Glass
Journal:  Nature       Date:  2013-06-02       Impact factor: 49.962

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