Evidence map›Paper›PMID 42475398›Full record

ArticlePLoS computational biology2026

Position-dependent codon occurrence is associated with patterns of translational efficiency and ribosomal occupancy in the human transcriptome.

Kaavya Subramanian, Nathan Waugh, Cole Shanks, David A Hendrix

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Kaavya SubramanianSchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon, United States of America.
Nathan WaughDepartment of Biochemistry and Biophysics, Oregon State University, Corvallis, Oregon, United States of America.
Cole ShanksSchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon, United States of America.
David A HendrixSchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon, United States of America.ORCID https://orcid.org/0000-0002-7285-1977

Funding

Integrative transcriptomics to uncover functional elements and disease-associated variants in RNAR01GM145986 · NIGMS · OREGON STATE UNIVERSITY · PI HENDRIX, DAVID ANTHONY · 2022 to 2025
$1.2M
NIGMS NIH HHS R01 GM145986
6 · The paper itself

Abstract

All life depends on the reliable translation of RNA to protein according to complex interactions between translation machinery and RNA sequence features. While ribosomal occupancy and codon frequencies vary across coding regions, well-established metrics for computing coding potential of RNA do not capture such positional dependence. Here, we investigate positional bias in codon usage, which contextually accounts for the position of protein-coding signals embedded within coding regions. We demonstrate the existence of position-dependent patterns of codon frequency in the human transcriptome and describe these patterns using our POsition-Specific Codon Occurrence (POSCO) score that is more consistently associated with translation-initiating codons than other common sequence features. We further show that the patterns described by POSCO are not accounted for by other common scores, including position-dependent GC content, consensus sequences, and the presence of signal peptides in the translation product. More importantly, POSCO defines a spectrum of translational efficiency and local tRNA adaptation index (tAI). High POSCO scores correspond to the highest initial tAI values, which increase over the downstream length of the transcript, forming a translational highway. Meanwhile, low POSCO scores exhibit the lowest initial tAI values followed by a previously undescribed translational valley. An inverse correlation was found between POSCO score and ribosomal occupancy near the start codon. We also find that POSCO defines a spectrum of local folding energies, with high-POSCO transcripts showing the most stable folding immediately after the start codon. Finally, we examine the relationship between POSCO intensity and functional enrichment. We find that transcripts with start codons showing the highest POSCO are enriched for functions relating to development of musculoskeletal, cardiovascular, neurological, gastrointestinal, sensory, and other body systems. Furthermore, transcripts with high POSCO are depleted for functions related to immune response and detection of chemical stimulus. These findings lay important groundwork to improve our understanding of the regulation of translation, the calculation of coding potential, and the classification of RNA transcripts.

Indexed as

CodonCodon UsageProtein BiosynthesisRibosomesTranscriptomeComputational BiologyHumansRNA, TransferCodonRNA, Transfer

Identifiers

PMID42475398
PMCPMC13399515

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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.