Evidence map›Paper›PMID 27726445›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology2017

Accurate Recovery of Ribosome Positions Reveals Slow Translation of Wobble-Pairing Codons in Yeast.

Hao Wang, Joel McManus, Carl Kingsford

Open access · bronzeAbstract read
In one paragraph

Article in Journal of computational biology : a journal of computational molecular cell biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

  1. The regulation, function and disease relevance of cytoplasmic tRNAs.Nature reviews. Molecular cell biology · 2026
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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

3 authors at 1 institution in 1 country.

Hao Wang1 Computational Biology Department, School of Computer Science, Carnegie Mellon University , Pittsburgh, Pennsylvania.
Joel McManus1 Computational Biology Department, School of Computer Science, Carnegie Mellon University , Pittsburgh, Pennsylvania.
Carl Kingsford1 Computational Biology Department, School of Computer Science, Carnegie Mellon University , Pittsburgh, Pennsylvania.
Carnegie Mellon University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ribosome profiling quantitatively captures ribosome locations during translation. The resulting profiles of ribosome locations are widely used to study translational speed. However, an accurate estimation of the ribosome location depends on identifying the A-site from ribosome profiling reads, a problem that was previously unsolved. Here, we propose a novel method to estimate the ribosome A-site positions from high-coverage ribosome profiling reads. Our model allows more reads to be used, accurately explains the 3-nt periodicity of ribosome profiling reads from various lengths, and recovers consistent ribosome positions across different lengths. Our recovered ribosome positions are correctly highly skewed toward a single frame within a codon. They retain subcodon resolution and enable detection of off-frame translational events, such as frameshifts. Our method improves the correlation with other estimates of codon decoding time. Furthermore, the refined profiles show that yeast wobble-pairing codons are translated slower than their synonymous Watson-Crick-pairing codons. These results provide evidence that protein synthetic rate can be tuned by codon usage bias.

Indexed as

AlgorithmsProtein BiosynthesisCodonFrameshifting, RibosomalModels, MolecularRibosomesRNA, MessengerRNA, TransferSaccharomyces cerevisiaeSequence Analysis, RNACodonRNA, MessengerRNA, TransferA-site recoveryribosome profilingtranslation rate

Identifiers

PMID27726445
PMCPMC5467134
OpenAlexW2552278382

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.