Evidence map›Paper›PMID 23791185›Full record

ArticleCell2013

Rate-limiting steps in yeast protein translation.

Premal Shah, Yang Ding, Malwina Niemczyk, Grzegorz Kudla, Joshua B Plotkin

Open access · hybridAbstract read
In one paragraph

Article in Cell, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 295 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
295citing papers in PubMed, 1 pooled it
20.6field-weighted citation impact, top 1% 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

295 citing papers in PubMed, 1 synthesis or guideline pooled it, 525 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. A ribosomal kinetic checkpoint governs selective mRNA recruitment.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Macroevolutionary changes in natural selection on codon usage reflect evolution of the tRNA pool across a budding yeast subphylum.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. Article

235 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

5 authors at 3 institutions in 2 countries.

Premal ShahDepartment of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Yang Ding
Malwina Niemczyk
Grzegorz Kudla
Joshua B Plotkin
University of Pennsylvania · USUniversity of Edinburgh · GBWellcome Centre for Cell Biology · GB

Funding

Wellcome Trust 077248
6 · The paper itself

Abstract

Deep sequencing now provides detailed snapshots of ribosome occupancy on mRNAs. We leverage these data to parameterize a computational model of translation, keeping track of every ribosome, tRNA, and mRNA molecule in a yeast cell. We determine the parameter regimes in which fast initiation or high codon bias in a transgene increases protein yield and infer the initiation rates of endogenous Saccharomyces cerevisiae genes, which vary by several orders of magnitude and correlate with 5' mRNA folding energies. Our model recapitulates the previously reported 5'-to-3' ramp of decreasing ribosome densities, although our analysis shows that this ramp is caused by rapid initiation of short genes rather than slow codons at the start of transcripts. We conclude that protein production in healthy yeast cells is typically limited by the availability of free ribosomes, whereas protein production under periods of stress can sometimes be rescued by reducing initiation or elongation rates.

Indexed as

Models, GeneticProtein BiosynthesisCodonMarkov ChainsRibosomesRNA, MessengerRNA, TransferSaccharomyces cerevisiaeCodonRNA, MessengerRNA, Transfer

Identifiers

PMID23791185
PMCPMC3694300
OpenAlexW2011503994

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.