Evidence map›Paper›PMID 41908083›Full record

ArticleNAR genomics and bioinformatics2026

G/C-ending and synonymous codon bias define functional translational programs that shape human tissue and cancer proteomes.

Sherif Rashad, Kuniyasu Niizuma

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sherif RashadDepartment of Neurosurgical Engineering, Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8575, Japan.ORCID https://orcid.org/0000-0002-4511-6360
Kuniyasu NiizumaDepartment of Neurosurgical Engineering, Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8575, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Codon usage bias is a fundamental feature of the genetic code, yet its impact on messenger RNA translation is incompletely defined. Here, we integrate comparative genomics, human tissue proteomes, large cancer cell line, and patient cancer datasets to reveal a conserved codon-bias axis. Across mammals, we show that GC-biased gene conversion drives human-specific GC3 (third codon nucleotide bias score) drifts, yet the functional dichotomy is maintained: A/T-ending codons associate with proliferation and RNA processing, while G/C-ending (Third nucleotide Guanine or Cytosine) codons associate with differentiation and neuronal functions. At the isoacceptors level, synonymous codons segregate into distinct functional categories. To mechanistically connect codon usage to cancer, we introduce the ANN- and m

Indexed as

CodonCodon UsageNeoplasmsProtein BiosynthesisProteomeAnimalsBase CompositionCell Line, TumorHumansRNA, TransferCodonProteomeRNA, Transfer

Identifiers

PMID41908083
PMCPMC13023039

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.