Literature DB >> 35524111

High-Resolution Deep Sequencing of Nascent Transcription in Yeast with BioGRO-seq.

Antonio Jordán-Pla1, José E Pérez-Ortín2.   

Abstract

RNA biogenesis in eukaryotic cells is a tightly regulated multilayered process in which a diverse set of players act in an orchestrated manner via complex molecular interactions to secure the initial flow of gene expression. Transcription from DNA to RNA is the essential first step in RNA biogenesis, and consists of three main phases: initiation, elongation, and termination. In each phase, transcription factors act on RNA polymerases to modulate their passage along the DNA template in a very precise manner, governed by molecular mechanisms, some of which are not yet fully understood. Genome-scale run-on-based methodologies have been developed with the aim of mapping the position of transcriptionally engaged RNA polymerases. Among them, the BioGRO methodology has been instrumental in advancing our understanding of the transcriptional dynamics in yeast. Here we take the previously known BioGRO method further by coupling it with deep sequencing. BioGRO-seq maps elongating RNA polymerases along the genome with strand specificity and single-nucleotide resolution. BioGRO-seq profiling provides insights into the biogenesis and regulation of not just the canonical protein-coding transcriptome, but also into the often more challenging to study noncoding and unstable transcriptome.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Deep sequencing; Nascent RNA; Nascent transcription; RNA polymerase II; RNA polymerase III; RNA-seq; Saccharomyces cerevisiae; Yeast

Mesh:

Substances:

Year:  2022        PMID: 35524111     DOI: 10.1007/978-1-0716-2257-5_4

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


  18 in total

1.  Global analysis of nascent RNA reveals transcriptional pausing in terminal exons.

Authors:  Fernando Carrillo Oesterreich; Stephan Preibisch; Karla M Neugebauer
Journal:  Mol Cell       Date:  2010-11-24       Impact factor: 17.970

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

Review 3.  ChIP and ChIP-Related Techniques: Expanding the Fields of Application and Improving ChIP Performance.

Authors:  Neus Visa; Antonio Jordán-Pla
Journal:  Methods Mol Biol       Date:  2018

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

Review 5.  Eukaryotic transcriptional dynamics: from single molecules to cell populations.

Authors:  Antoine Coulon; Carson C Chow; Robert H Singer; Daniel R Larson
Journal:  Nat Rev Genet       Date:  2013-07-09       Impact factor: 53.242

6.  Genomic-wide methods to evaluate transcription rates in yeast.

Authors:  José García-Martínez; Vicent Pelechano; José E Pérez-Ortín
Journal:  Methods Mol Biol       Date:  2011

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.  Nascent transcript sequencing visualizes transcription at nucleotide resolution.

Authors:  L Stirling Churchman; Jonathan S Weissman
Journal:  Nature       Date:  2011-01-20       Impact factor: 49.962

Review 9.  Molecular mechanisms of transcription through single-molecule experiments.

Authors:  Manchuta Dangkulwanich; Toyotaka Ishibashi; Lacramioara Bintu; Carlos Bustamante
Journal:  Chem Rev       Date:  2014-02-06       Impact factor: 60.622

10.  A high-resolution protein architecture of the budding yeast genome.

Authors:  Matthew J Rossi; Prashant K Kuntala; William K M Lai; Naomi Yamada; Nitika Badjatia; Chitvan Mittal; Guray Kuzu; Kylie Bocklund; Nina P Farrell; Thomas R Blanda; Joshua D Mairose; Ann V Basting; Katelyn S Mistretta; David J Rocco; Emily S Perkinson; Gretta D Kellogg; Shaun Mahony; B Franklin Pugh
Journal:  Nature       Date:  2021-03-10       Impact factor: 69.504

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