Literature DB >> 30502943

Genome-Wide Quantitation of Protein Synthesis Rates in Bacteria.

Grace E Johnson1, Gene-Wei Li2.   

Abstract

Bacteria produce different amounts of their proteins in response to different conditions. The ability to accurately quantitate the rates of protein synthesis across the genome is an important step toward understanding both underlying regulation and bacterial physiology at a systems level. Ribosome profiling (deep sequencing of ribosome-protected mRNA fragments) enables accurate and high-throughput measurement of such synthesis rates. Ribosomes protect RNAs from nuclease digestion; thus, by collecting and sequencing protected footprints, one can obtain information on the position of every ribosome at the time of cell collection. Assuming ribosomes go on to translate full-length proteins, the density of ribosomes across an ORF can be used to determine protein synthesis rates. Here we outline a step-by-step protocol and discuss the steps where variability and bias may be introduced, including ways to minimize it.
© 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Gene expression; Protein synthesis rates; Proteomics; Ribosome profiling; Translational control

Mesh:

Substances:

Year:  2018        PMID: 30502943      PMCID: PMC6648704          DOI: 10.1016/bs.mie.2018.08.031

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  16 in total

1.  Structure and mechanism of RNA ligase.

Authors:  C Kiong Ho; Li Kai Wang; Christopher D Lima; Stewart Shuman
Journal:  Structure       Date:  2004-02       Impact factor: 5.006

2.  Structure-function analysis of T4 RNA ligase 2.

Authors:  Shenmin Yin; C Kiong Ho; Stewart Shuman
Journal:  J Biol Chem       Date:  2003-02-27       Impact factor: 5.157

Review 3.  Identification of microRNAs and other small regulatory RNAs using cDNA library sequencing.

Authors:  Markus Hafner; Pablo Landgraf; Janos Ludwig; Amanda Rice; Tolulope Ojo; Carolina Lin; Daniel Holoch; Cindy Lim; Thomas Tuschl
Journal:  Methods       Date:  2008-01       Impact factor: 3.608

4.  Genome-wide analysis in vivo of translation with nucleotide resolution using ribosome profiling.

Authors:  Nicholas T Ingolia; Sina Ghaemmaghami; John R S Newman; Jonathan S Weissman
Journal:  Science       Date:  2009-02-12       Impact factor: 47.728

5.  Selective ribosome profiling reveals the cotranslational chaperone action of trigger factor in vivo.

Authors:  Eugene Oh; Annemarie H Becker; Arzu Sandikci; Damon Huber; Rachna Chaba; Felix Gloge; Robert J Nichols; Athanasios Typas; Carol A Gross; Günter Kramer; Jonathan S Weissman; Bernd Bukau
Journal:  Cell       Date:  2011-12-09       Impact factor: 41.582

6.  The anti-Shine-Dalgarno sequence drives translational pausing and codon choice in bacteria.

Authors:  Gene-Wei Li; Eugene Oh; Jonathan S Weissman
Journal:  Nature       Date:  2012-03-28       Impact factor: 49.962

7.  Structural bias in T4 RNA ligase-mediated 3'-adapter ligation.

Authors:  Fanglei Zhuang; Ryan T Fuchs; Zhiyi Sun; Yu Zheng; G Brett Robb
Journal:  Nucleic Acids Res       Date:  2012-01-12       Impact factor: 16.971

8.  The ribosome profiling strategy for monitoring translation in vivo by deep sequencing of ribosome-protected mRNA fragments.

Authors:  Nicholas T Ingolia; Gloria A Brar; Silvia Rouskin; Anna M McGeachy; Jonathan S Weissman
Journal:  Nat Protoc       Date:  2012-07-26       Impact factor: 13.491

9.  rRNA:mRNA pairing alters the length and the symmetry of mRNA-protected fragments in ribosome profiling experiments.

Authors:  Patrick B F O'Connor; Gene-Wei Li; Jonathan S Weissman; John F Atkins; Pavel V Baranov
Journal:  Bioinformatics       Date:  2013-04-19       Impact factor: 6.937

10.  A serine sensor for multicellularity in a bacterium.

Authors:  Arvind R Subramaniam; Aaron Deloughery; Niels Bradshaw; Yun Chen; Erin O'Shea; Richard Losick; Yunrong Chai
Journal:  Elife       Date:  2013-12-17       Impact factor: 8.140

View more
  4 in total

1.  RiboVIEW: a computational framework for visualization, quality control and statistical analysis of ribosome profiling data.

Authors:  Carine Legrand; Francesca Tuorto
Journal:  Nucleic Acids Res       Date:  2020-01-24       Impact factor: 16.971

2.  Monitoring mammalian mitochondrial translation with MitoRiboSeq.

Authors:  Sophia Hsin-Jung Li; Michel Nofal; Lance R Parsons; Joshua D Rabinowitz; Zemer Gitai
Journal:  Nat Protoc       Date:  2021-05-05       Impact factor: 13.491

3.  Ubiquitous mRNA decay fragments in E. coli redefine the functional transcriptome.

Authors:  Lydia Herzel; Julian A Stanley; Chun-Chen Yao; Gene-Wei Li
Journal:  Nucleic Acids Res       Date:  2022-05-20       Impact factor: 19.160

4.  A Ribosomal Protein Homolog Governs Gene Expression and Virulence in a Bacterial Pathogen.

Authors:  Hannah S Trautmann; Kathryn M Ramsey
Journal:  J Bacteriol       Date:  2022-09-19       Impact factor: 3.476

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.