Evidence map›Paper›PMID 26286745›Full record

ArticleRNA (New York, N.Y.)2015

The use of duplex-specific nuclease in ribosome profiling and a user-friendly software package for Ribo-seq data analysis.

Betty Y Chung, Thomas J Hardcastle, Joshua D Jones, Nerea Irigoyen, Andrew E Firth, David C Baulcombe, Ian Brierley

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
5.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 162 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Advances in ribosome profiling technologies.Biochemical Society transactions · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Ribosome Profiling of Plants.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  13. Genome-Wide Identification, Evolutionary Analysis, and Functional Studies ofInternational journal of molecular sciences · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Betty Y ChungDepartment of Plant Sciences, University of Cambridge, Cambridge CB2 3EA, United Kingdom.
Thomas J HardcastleDepartment of Plant Sciences, University of Cambridge, Cambridge CB2 3EA, United Kingdom.
Joshua D JonesDivision of Virology, Department of Pathology, University of Cambridge, Cambridge CB2 1QP, United Kingdom.
Nerea IrigoyenDivision of Virology, Department of Pathology, University of Cambridge, Cambridge CB2 1QP, United Kingdom.
Andrew E FirthDivision of Virology, Department of Pathology, University of Cambridge, Cambridge CB2 1QP, United Kingdom.
David C BaulcombeDepartment of Plant Sciences, University of Cambridge, Cambridge CB2 3EA, United Kingdom.
Ian BrierleyDivision of Virology, Department of Pathology, University of Cambridge, Cambridge CB2 1QP, United Kingdom.
University of Cambridge · GB

Funding

Biotechnology and Biological Sciences Research Council BB/J007072/1Biotechnology and Biological Sciences Research Council BB/L000334/1Medical Research Council MR/M011747/1Wellcome TrustWellcome Trust 088789
6 · The paper itself

Abstract

Ribosome profiling is a technique that permits genome-wide, quantitative analysis of translation and has found broad application in recent years. Here we describe a modified profiling protocol and software package designed to benefit more broadly the translation community in terms of simplicity and utility. The protocol, applicable to diverse organisms, including organelles, is based largely on previously published profiling methodologies, but uses duplex-specific nuclease (DSN) as a convenient, species-independent way to reduce rRNA contamination. We show that DSN-based depletion compares favorably with other commonly used rRNA depletion strategies and introduces little bias. The profiling protocol typically produces high levels of triplet periodicity, facilitating the detection of coding sequences, including upstream, downstream, and overlapping open reading frames (ORFs) and an alternative ribosome conformation evident during termination of protein synthesis. In addition, we provide a software package that presents a set of methods for parsing ribosomal profiling data from multiple samples, aligning reads to coding sequences, inferring alternative ORFs, and plotting average and transcript-specific aspects of the data. Methods are also provided for extracting the data in a form suitable for differential analysis of translation and translational efficiency.

Indexed as

SoftwareChlamydomonas reinhardtiiComputational BiologyEndonucleasesOpen Reading FramesRibosomesEndonucleasesChlamydomonasduplex-specific nucleasemouseribosome profilingtranslation

Identifiers

PMID26286745
PMCPMC4574750
OpenAlexW2102496723

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.