Literature DB >> 27010758

Genome-wide profiling of RNA polymerase transcription at nucleotide resolution in human cells with native elongating transcript sequencing.

Andreas Mayer1, L Stirling Churchman1.   

Abstract

Many features of how gene transcription occurs in human cells remain unclear, mainly because of a lack of quantitative approaches to follow genome transcription with nucleotide precision in vivo. Here we present a robust genome-wide approach for studying RNA polymerase II (Pol II)-mediated transcription in human cells at single-nucleotide resolution by native elongating transcript sequencing (NET-seq). Elongating RNA polymerase and the associated nascent RNA are prepared by cell fractionation, avoiding immunoprecipitation or RNA labeling. The 3' ends of nascent RNAs are captured through barcode linker ligation and converted into a DNA sequencing library. The identity and abundance of the 3' ends are determined by high-throughput sequencing, which reveals the exact genomic locations of Pol II. Human NET-seq can be applied to the study of the full spectrum of Pol II transcriptional activities, including the production of unstable RNAs and transcriptional pausing. By using the protocol described here, a NET-seq library can be obtained from human cells in 5 d.

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Year:  2016        PMID: 27010758      PMCID: PMC5326677          DOI: 10.1038/nprot.2016.047

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  67 in total

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Authors:  J B Kim; P A Sharp
Journal:  J Biol Chem       Date:  2001-01-05       Impact factor: 5.157

Review 2.  Poised RNA polymerase II gives pause for thought.

Authors:  Thanasis Margaritis; Frank C P Holstege
Journal:  Cell       Date:  2008-05-16       Impact factor: 41.582

3.  Physical isolation of nascent RNA chains transcribed by RNA polymerase II: evidence for cotranscriptional splicing.

Authors:  J Wuarin; U Schibler
Journal:  Mol Cell Biol       Date:  1994-11       Impact factor: 4.272

4.  Nucleosomes are context-specific, H2A.Z-modulated barriers to RNA polymerase.

Authors:  Christopher M Weber; Srinivas Ramachandran; Steven Henikoff
Journal:  Mol Cell       Date:  2014-03-06       Impact factor: 17.970

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.  "Jump start and gain" model for dosage compensation in Drosophila based on direct sequencing of nascent transcripts.

Authors:  Francesco Ferrari; Annette Plachetka; Artyom A Alekseyenko; Youngsook L Jung; Fatih Ozsolak; Peter V Kharchenko; Peter J Park; Mitzi I Kuroda
Journal:  Cell Rep       Date:  2013-10-31       Impact factor: 9.423

7.  Gene-specific RNA polymerase II phosphorylation and the CTD code.

Authors:  Hyunmin Kim; Benjamin Erickson; Weifei Luo; David Seward; Joel H Graber; David D Pollock; Paul C Megee; David L Bentley
Journal:  Nat Struct Mol Biol       Date:  2010-09-12       Impact factor: 15.369

8.  Promoter directionality is controlled by U1 snRNP and polyadenylation signals.

Authors:  Albert E Almada; Xuebing Wu; Andrea J Kriz; Christopher B Burge; Phillip A Sharp
Journal:  Nature       Date:  2013-06-23       Impact factor: 49.962

9.  ChIP-nexus enables improved detection of in vivo transcription factor binding footprints.

Authors:  Qiye He; Jeff Johnston; Julia Zeitlinger
Journal:  Nat Biotechnol       Date:  2015-03-09       Impact factor: 54.908

10.  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

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  30 in total

1.  Total RNA-seq to identify pharmacological effects on specific stages of mRNA synthesis.

Authors:  Sarah A Boswell; Andrew Snavely; Heather M Landry; L Stirling Churchman; Jesse M Gray; Michael Springer
Journal:  Nat Chem Biol       Date:  2017-03-06       Impact factor: 15.040

2.  Mettl3 Deficiency Sustains Long-Chain Fatty Acid Absorption through Suppressing Traf6-Dependent Inflammation Response.

Authors:  Xin Zong; Jing Zhao; Hong Wang; Zeqing Lu; Fengqin Wang; Huahua Du; Yizhen Wang
Journal:  J Immunol       Date:  2018-12-19       Impact factor: 5.422

Review 3.  Nascent RNA and the Coordination of Splicing with Transcription.

Authors:  Karla M Neugebauer
Journal:  Cold Spring Harb Perspect Biol       Date:  2019-08-01       Impact factor: 10.005

4.  A machine learning-based framework for modeling transcription elongation.

Authors:  Peiyuan Feng; An Xiao; Meng Fang; Fangping Wan; Shuya Li; Peng Lang; Dan Zhao; Jianyang Zeng
Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-09       Impact factor: 11.205

5.  The Ground State and Evolution of Promoter Region Directionality.

Authors:  Yi Jin; Umut Eser; Kevin Struhl; L Stirling Churchman
Journal:  Cell       Date:  2017-08-10       Impact factor: 41.582

6.  Conserved DNA sequence features underlie pervasive RNA polymerase pausing.

Authors:  Martyna Gajos; Olga Jasnovidova; Alena van Bömmel; Susanne Freier; Martin Vingron; Andreas Mayer
Journal:  Nucleic Acids Res       Date:  2021-05-07       Impact factor: 16.971

7.  Antisense-Mediated Transcript Knockdown Triggers Premature Transcription Termination.

Authors:  Jong-Sun Lee; Joshua T Mendell
Journal:  Mol Cell       Date:  2020-01-07       Impact factor: 17.970

8.  RNAnue: efficient data analysis for RNA-RNA interactomics.

Authors:  Richard A Schäfer; Björn Voß
Journal:  Nucleic Acids Res       Date:  2021-06-04       Impact factor: 16.971

Review 9.  Methods for the analysis of transcriptome dynamics.

Authors:  Daniela F Rodrigues; Vera M Costa; Ricardo Silvestre; Maria L Bastos; Félix Carvalho
Journal:  Toxicol Res (Camb)       Date:  2019-07-26       Impact factor: 3.524

10.  Metabolic Labeling of RNAs Uncovers Hidden Features and Dynamics of the Arabidopsis Transcriptome.

Authors:  Emese Xochitl Szabo; Philipp Reichert; Marie-Kristin Lehniger; Marilena Ohmer; Marcella de Francisco Amorim; Udo Gowik; Christian Schmitz-Linneweber; Sascha Laubinger
Journal:  Plant Cell       Date:  2020-02-14       Impact factor: 11.277

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