Evidence map›Paper›PMID 29538776›Full record

ArticleNucleic acids research2018

De novo annotation and characterization of the translatome with ribosome profiling data.

Zhengtao Xiao, Rongyao Huang, Xudong Xing, Yuling Chen, Haiteng Deng, Xuerui Yang

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

103 citing papers in PubMed.

  1. Article
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  12. Maize Anther Development Involves Translated Open Reading Frames From 3' Untranslated Regions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  15. Review
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  18. Article
  19. Review
  20. Article

43 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

6 authors.

Zhengtao XiaoMOE Key Laboratory of Bioinformatics, Tsinghua University, Beijing 100084, China.
Rongyao HuangMOE Key Laboratory of Bioinformatics, Tsinghua University, Beijing 100084, China.
Xudong XingMOE Key Laboratory of Bioinformatics, Tsinghua University, Beijing 100084, China.
Yuling ChenMOE Key Laboratory of Bioinformatics, Tsinghua University, Beijing 100084, China.
Haiteng DengMOE Key Laboratory of Bioinformatics, Tsinghua University, Beijing 100084, China.
Xuerui YangMOE Key Laboratory of Bioinformatics, Tsinghua University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By capturing and sequencing the RNA fragments protected by translating ribosomes, ribosome profiling provides snapshots of translation at subcodon resolution. The growing needs for comprehensive annotation and characterization of the context-dependent translatomes are calling for an efficient and unbiased method to accurately recover the signal of active translation from the ribosome profiling data. Here we present our new method, RiboCode, for such purpose. Being tested with simulated and real ribosome profiling data, and validated with cell type-specific QTI-seq and mass spectrometry data, RiboCode exhibits superior efficiency, sensitivity, and accuracy for de novo annotation of the translatome, which covers various types of ORFs in the previously annotated coding and non-coding regions. As an example, RiboCode was applied to assemble the context-specific translatomes of yeast under normal and stress conditions. Comparisons among these translatomes revealed stress-activated novel upstream and downstream ORFs, some of which are associated with translational dysregulations of the annotated main ORFs under the stress conditions.

Indexed as

Open Reading FramesProtein BiosynthesisAnimalsComputational BiologyDatabases, GeneticHeat-Shock ResponseHEK293 CellsHumansLiverMiceMolecular Sequence AnnotationOxidative StressReproducibility of ResultsRibosomesSaccharomyces cerevisiaeSensitivity and Specificity

Identifiers

PMID29538776
PMCPMC6007384

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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.