Evidence map›Paper›PMID 26465719›Full record

ReviewNature reviews. Molecular cell biology2015

Ribosome profiling reveals the what, when, where and how of protein synthesis.

Gloria A Brar, Jonathan S Weissman

Abstract readReview
In one paragraph

Review in Nature reviews. Molecular cell biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 316 papers.

0numbers the graph read from it
0cells of the map it votes in
316citing 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

316 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Integrated Transcriptomic Analysis of Skin Pigmentation Development inInternational journal of molecular sciences · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Approaches for Studying Context Specificity of Translation Inhibitor Action.International journal of molecular sciences · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Chemical reviews · 2026
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

256 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

2 authors.

Gloria A BrarDepartment of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA.
Jonathan S WeissmanHoward Hughes Medical Institute, Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California 94158, USA.

Funding

Harnessing CRISPR for Targeted and Inducible Epigenomic ReprogrammingR01DA036858 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A, QI, LEI STANLEY · 2013 to 2017
$2.9M
Howard Hughes Medical InstituteNIDA NIH HHS R01 DA036858
6 · The paper itself

Abstract

Ribosome profiling, which involves the deep sequencing of ribosome-protected mRNA fragments, is a powerful tool for globally monitoring translation in vivo. The method has facilitated discovery of the regulation of gene expression underlying diverse and complex biological processes, of important aspects of the mechanism of protein synthesis, and even of new proteins, by providing a systematic approach for experimental annotation of coding regions. Here, we introduce the methodology of ribosome profiling and discuss examples in which this approach has been a key factor in guiding biological discovery, including its prominent role in identifying thousands of novel translated short open reading frames and alternative translation products.

Indexed as

Base SequenceHigh-Throughput Nucleotide SequencingHumansProtein BiosynthesisProteinsRibosomesRNA, MessengerSequence Analysis, RNAProteinsRNA, Messenger

Identifiers

PMID26465719
PMCPMC5522010

What OpenQuestion holds

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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.