Literature DB >> 34263006

Transcriptional Run-on: Measuring Nascent Transcription at Specific Genomic Sites in Yeast.

Victoria Begley1, Lola de Miguel-Jiménez1, Sebastián Chávez1.   

Abstract

DNA transcription by RNA polymerases has always interested the scientific community as it is one of the most important processes involved in genome expression. This has led scientists to come up with different protocols allowing analysis of this process in specific locations across the genome by quantitating the amount of RNA polymerases transcribing that genomic site in a cell population. This can be achieved by either detecting the total number of polymerases in contact with that region (i.e., by chromatin immunoprecipitation (ChIP) with anti-RNA polymerase antibodies) or by measuring the number of polymerases that are effectively engaged in transcription in that position. This latter strategy is followed using transcription run-on (TRO), also known as nuclear run-on (NRO), which was first developed in mammalian cells over 40 years ago and has since been adapted to many other different organisms and high-throughput methods. Here, we detail the procedure for performing TRO in Saccharomyces cerevisiae for single genomic regions to study active transcription on a single gene scale. To do so, we wash the cells in the detergent sarkosyl, which prevents new initiations at the promoter level, and then perform an in situ reaction, leading to the radiolabeling of transcripts by RNA polymerases that were already engaged in transcription at the moment of harvesting. By subsequently quantitating the signal of these transcripts, we can determine the level of active transcription in a single gene. This presents a major advantage over other forms of transcription quantitation such as RNA polymerase ChIP, since in the latter, both active and inactive polymerases are measured. By combining both ChIP and TRO, the amount of inactive or paused polymerases on a particular gene can be estimated. Graphic abstract: Transcriptional run-on scheme.
Copyright © 2021 The Authors; exclusive licensee Bio-protocol LLC.

Entities:  

Keywords:  Nascent RNA; Nascent transcription; RNA polymerase II; Run-on; Saccharomyces cerevisiae; Yeast

Year:  2021        PMID: 34263006      PMCID: PMC8260268          DOI: 10.21769/BioProtoc.4064

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  8 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

Review 2.  Measuring RNA polymerase activity genome-wide with high-resolution run-on-based methods.

Authors:  Antonio Jordán-Pla; Maria E Pérez-Martínez; José E Pérez-Ortín
Journal:  Methods       Date:  2019-02-02       Impact factor: 3.608

3.  Biotin-Genomic Run-On (Bio-GRO): A High-Resolution Method for the Analysis of Nascent Transcription in Yeast.

Authors:  Antonio Jordán-Pla; Ana Miguel; Eva Serna; Vicent Pelechano; José E Pérez-Ortín
Journal:  Methods Mol Biol       Date:  2016

Review 4.  Genome-wide studies of mRNA synthesis and degradation in eukaryotes.

Authors:  José E Pérez-Ortín; Lola de Miguel-Jiménez; Sebastián Chávez
Journal:  Biochim Biophys Acta       Date:  2011-12-11

5.  Stimulation of 3T3 cells induces transcription of the c-fos proto-oncogene.

Authors:  M E Greenberg; E B Ziff
Journal:  Nature       Date:  1984 Oct 4-10       Impact factor: 49.962

6.  Nuclear run-on assay.

Authors:  Stephen T Smale
Journal:  Cold Spring Harb Protoc       Date:  2009-11

7.  Genomic run-on evaluates transcription rates for all yeast genes and identifies gene regulatory mechanisms.

Authors:  José García-Martínez; Agustín Aranda; José E Pérez-Ortín
Journal:  Mol Cell       Date:  2004-07-23       Impact factor: 17.970

8.  The mRNA degradation factor Xrn1 regulates transcription elongation in parallel to Ccr4.

Authors:  Victoria Begley; Daniel Corzo; Antonio Jordán-Pla; Abel Cuevas-Bermúdez; Lola de Miguel-Jiménez; David Pérez-Aguado; Mercedes Machuca-Ostos; Francisco Navarro; María José Chávez; José E Pérez-Ortín; Sebastián Chávez
Journal:  Nucleic Acids Res       Date:  2019-10-10       Impact factor: 16.971

  8 in total

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