Literature DB >> 29286414

Genome-wide Quantification of Translation in Budding Yeast by Ribosome Profiling.

Carine Beaupere1, Rosalyn B Chen1, William Pelosi1, Vyacheslav M Labunskyy2.   

Abstract

Translation of mRNA into proteins is a complex process involving several layers of regulation. It is often assumed that changes in mRNA transcription reflect changes in protein synthesis, but many exceptions have been observed. Recently, a technique called ribosome profiling (or Ribo-Seq) has emerged as a powerful method that allows identification, with high accuracy, which regions of mRNA are translated into proteins and quantification of translation at the genome-wide level. Here, we present a generalized protocol for genome-wide quantification of translation using Ribo-Seq in budding yeast. In addition, combining Ribo-Seq data with mRNA abundance measurements allows us to simultaneously quantify translation efficiency of thousands of mRNA transcripts in the same sample and compare changes in these parameters in response to experimental manipulations or in different physiological states. We describe a detailed protocol for generation of ribosome footprints using nuclease digestion, isolation of intact ribosome-footprint complexes via sucrose gradient fractionation, and preparation of DNA libraries for deep sequencing along with appropriate quality controls necessary to ensure accurate analysis of in vivo translation.

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Year:  2017        PMID: 29286414      PMCID: PMC5755679          DOI: 10.3791/56820

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.424


  31 in total

Review 1.  Mapping the non-standardized biases of ribosome profiling.

Authors:  Alexander Bartholomäus; Cristian Del Campo; Zoya Ignatova
Journal:  Biol Chem       Date:  2016-01       Impact factor: 3.915

Review 2.  Translational control in stress and apoptosis.

Authors:  Martin Holcik; Nahum Sonenberg
Journal:  Nat Rev Mol Cell Biol       Date:  2005-04       Impact factor: 94.444

3.  Regulation of Poly(A) Tail and Translation during the Somatic Cell Cycle.

Authors:  Jong-Eun Park; Hyerim Yi; Yoosik Kim; Hyeshik Chang; V Narry Kim
Journal:  Mol Cell       Date:  2016-05-05       Impact factor: 17.970

4.  Detecting actively translated open reading frames in ribosome profiling data.

Authors:  Lorenzo Calviello; Neelanjan Mukherjee; Emanuel Wyler; Henrik Zauber; Antje Hirsekorn; Matthias Selbach; Markus Landthaler; Benedikt Obermayer; Uwe Ohler
Journal:  Nat Methods       Date:  2015-12-14       Impact factor: 28.547

5.  Mammalian microRNAs predominantly act to decrease target mRNA levels.

Authors:  Huili Guo; Nicholas T Ingolia; Jonathan S Weissman; David P Bartel
Journal:  Nature       Date:  2010-08-12       Impact factor: 49.962

6.  Genome-wide ribosome profiling reveals complex translational regulation in response to oxidative stress.

Authors:  Maxim V Gerashchenko; Alexei V Lobanov; Vadim N Gladyshev
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-08       Impact factor: 11.205

7.  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

8.  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

9.  Plastid: nucleotide-resolution analysis of next-generation sequencing and genomics data.

Authors:  Joshua G Dunn; Jonathan S Weissman
Journal:  BMC Genomics       Date:  2016-11-22       Impact factor: 3.969

10.  Regulation of mRNA translation during mitosis.

Authors:  Marvin E Tanenbaum; Noam Stern-Ginossar; Jonathan S Weissman; Ronald D Vale
Journal:  Elife       Date:  2015-08-25       Impact factor: 8.140

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  3 in total

1.  Genome-Wide Analysis of Translation in Replicatively Aged Yeast.

Authors:  Hanna Barlit; Manish K Rai; Sara I Shoushtari; Carine Beaupere; Vyacheslav M Labunskyy
Journal:  Methods Mol Biol       Date:  2021

2.  Deficiency of the RNA-binding protein Cth2 extends yeast replicative lifespan by alleviating its repressive effects on mitochondrial function.

Authors:  Praveen K Patnaik; Carine Beaupere; Hanna Barlit; Antonia María Romero; Mitsuhiro Tsuchiya; Michael Muir; María Teresa Martínez-Pastor; Sergi Puig; Matt Kaeberlein; Vyacheslav M Labunskyy
Journal:  Cell Rep       Date:  2022-07-19       Impact factor: 9.995

3.  Genetic screen identifies adaptive aneuploidy as a key mediator of ER stress resistance in yeast.

Authors:  Carine Beaupere; Leticia Dinatto; Brian M Wasko; Rosalyn B Chen; Lauren VanValkenburg; Michael G Kiflezghi; Mitchell B Lee; Daniel E L Promislow; Weiwei Dang; Matt Kaeberlein; Vyacheslav M Labunskyy
Journal:  Proc Natl Acad Sci U S A       Date:  2018-09-05       Impact factor: 12.779

  3 in total

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