Literature DB >> 33765284

Genome-Wide Analysis of Actively Translated Open Reading Frames Using RiboTaper/ORFquant.

Dermot Harnett1, Eelco Meerdink1, Lorenzo Calviello2, Dominique Sydow1, Uwe Ohler3,4.   

Abstract

Ribosome profiling, or Ribo-seq, provides precise information about the position of actively translating ribosomes. It can be used to identify open reading frames (ORFs) that are translated in a given sample. The RiboTaper pipeline, and the ORFquant R package, leverages the periodic distribution of such ribosomes along the ORF to perform a statistically robust test for translation which is insensitive to aperiodic noise and provides a statistically robust measure of translation. In addition to accounting for complex loci with overlapping ORFs, ORFquant is also able to use Ribo-seq as a tool for distinguishing actively translated transcripts from non-translated ones, within a given gene locus.

Entities:  

Keywords:  Genomics; Open reading frame; Periodicity; Ribo-seq; Ribosome; Sequencing; Translation

Mesh:

Substances:

Year:  2021        PMID: 33765284     DOI: 10.1007/978-1-0716-1150-0_16

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


  6 in total

1.  Identification of small ORFs in vertebrates using ribosome footprinting and evolutionary conservation.

Authors:  Ariel A Bazzini; Timothy G Johnstone; Romain Christiano; Sebastian D Mackowiak; Benedikt Obermayer; Elizabeth S Fleming; Charles E Vejnar; Miler T Lee; Nikolaus Rajewsky; Tobias C Walther; Antonio J Giraldez
Journal:  EMBO J       Date:  2014-04-04       Impact factor: 11.598

2.  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

3.  Scikit-ribo Enables Accurate Estimation and Robust Modeling of Translation Dynamics at Codon Resolution.

Authors:  Han Fang; Yi-Fei Huang; Aditya Radhakrishnan; Adam Siepel; Gholson J Lyon; Michael C Schatz
Journal:  Cell Syst       Date:  2018-01-17       Impact factor: 10.304

4.  Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene.

Authors:  Mar Gonzàlez-Porta; Adam Frankish; Johan Rung; Jennifer Harrow; Alvis Brazma
Journal:  Genome Biol       Date:  2013-07-01       Impact factor: 13.583

5.  Identifying A- and P-site locations on ribosome-protected mRNA fragments using Integer Programming.

Authors:  Nabeel Ahmed; Pietro Sormanni; Prajwal Ciryam; Michele Vendruscolo; Christopher M Dobson; Edward P O'Brien
Journal:  Sci Rep       Date:  2019-04-18       Impact factor: 4.379

6.  Improved Ribosome-Footprint and mRNA Measurements Provide Insights into Dynamics and Regulation of Yeast Translation.

Authors:  David E Weinberg; Premal Shah; Stephen W Eichhorn; Jeffrey A Hussmann; Joshua B Plotkin; David P Bartel
Journal:  Cell Rep       Date:  2016-02-11       Impact factor: 9.423

  6 in total

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