Evidence map›Paper›PMID 27041671›Full record

ArticleNature communications2016

Genome-wide assessment of differential translations with ribosome profiling data.

Zhengtao Xiao, Qin Zou, Yu Liu, Xuerui Yang

Abstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers.

0numbers the graph read from it
0cells of the map it votes in
159citing papers in PubMed
–field-weighted citation impact
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

159 citing papers in PubMed.

  1. Article
  2. Review
  3. SPEN inactivation drives resistance to androgen receptor pathway inhibitors in metastatic prostate cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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  13. Comprehensive Profiling of NAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. A Versatile Ribo-seq Workflow for Enhanced Analysis of Ribosome Dynamics.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  18. Article
  19. Article
  20. Article

99 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

4 authors.

Zhengtao XiaoMOE Key Laboratory of Bioinformatics, Tsinghua University, Beijing 100084, China.
Qin ZouMOE Key Laboratory of Bioinformatics, Tsinghua University, Beijing 100084, China.
Yu LiuMOE 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

The closely regulated process of mRNA translation is crucial for precise control of protein abundance and quality. Ribosome profiling, a combination of ribosome foot-printing and RNA deep sequencing, has been used in a large variety of studies to quantify genome-wide mRNA translation. Here, we developed Xtail, an analysis pipeline tailored for ribosome profiling data that comprehensively and accurately identifies differentially translated genes in pairwise comparisons. Applied on simulated and real datasets, Xtail exhibits high sensitivity with minimal false-positive rates, outperforming existing methods in the accuracy of quantifying differential translations. With published ribosome profiling datasets, Xtail does not only reveal differentially translated genes that make biological sense, but also uncovers new events of differential translation in human cancer cells on mTOR signalling perturbation and in human primary macrophages on interferon gamma (IFN-γ) treatment. This demonstrates the value of Xtail in providing novel insights into the molecular mechanisms that involve translational dysregulations.

Indexed as

Genome, HumanProtein BiosynthesisSoftwareAnimalsCell LineCell Line, TumorDatasets as TopicGene Expression ProfilingGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansInterferon-gammaMacrophagesMiceRibosomesRNA, MessengerInterferon-gammaMTOR protein, humanRNA, MessengerTOR Serine-Threonine Kinases

Identifiers

PMID27041671
PMCPMC4822032

What OpenQuestion holds

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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.