Evidence map›Paper›PMID 39253435›Full record

ArticlebioRxiv : the preprint server for biology2025

Alternate RNA decoding results in stable and abundant proteins in mammals.

Shira Tsour, Rainer Machne, Andrew Leduc, Simon Widmer, Eunice Koo, Jeremy Guez, Konrad Karczewski, Nikolai Slavov

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

8 authors.

Shira TsourDepartments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, Northeastern University, Boston, MA 02115, USA.ORCID 0000-0003-1382-4044
Rainer MachneDepartments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, Northeastern University, Boston, MA 02115, USA.ORCID 0000-0002-1274-5099
Andrew LeducDepartments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, Northeastern University, Boston, MA 02115, USA.ORCID 0000-0001-6234-0623
Simon WidmerDepartments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, Northeastern University, Boston, MA 02115, USA.
Eunice KooDepartments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, Northeastern University, Boston, MA 02115, USA.
Jeremy GuezProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
Konrad KarczewskiProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
Nikolai SlavovDepartments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, Northeastern University, Boston, MA 02115, USA.ORCID 0000-0003-2035-1820

Funding

Single-cell proteomic identification of novel markers of senescenceUH3CA268117 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DOU, ZHIXUN, RAJAGOPAL, JAYARAJ · 2023 to 2024
$1.9M
Comprehensive and Cell Type-Specific Proteogenomic Profiling of Aberrant and Mis-Processed Proteins in Alzheimer's Disease and Tauopathy ModelsR01AG092460 · NIA · NORTHEASTERN UNIVERSITY · PI Mahlon Collins, BRADLEY T. HYMAN · 2025 to 2026
$1.5M
Molecular and metabolic influences on the activation of monocytes and macrophages at single-cell resolutionR35GM148218 · NIGMS · NORTHEASTERN UNIVERSITY · PI Nikolai Slavov · 2023 to 2026
$1.5M
Single-cell proteomic identification of novel markers of senescenceUG3CA268117 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DOU, ZHIXUN, RAJAGOPAL, JAYARAJ · 2021 to 2022
$1.2M
Collaborative Research: DMS/NIGMS 2: Methods for Systematic Analysis of Post-transcriptional Regulation in Single CellsR01GM144967 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI FRANKS, ALEXANDER, SLAVOV, NIKOLAI · 2021 to 2024
$779k
NCI NIH HHS UG3 CA268117NCI NIH HHS UH3 CA268117NIA NIH HHS R01 AG092460NIGMS NIH HHS R01 GM144967NIGMS NIH HHS R35 GM148218
6 · The paper itself

Abstract

Amino acid substitutions may substantially alter protein stability and function, but the contribution of substitutions arising from alternate translation (deviations from the genetic code) is unknown. To explore it, we analyzed deep proteomic and transcriptomic data from over 1,000 human samples, including 6 cancer types and 26 healthy human tissues. This global analysis identified 60,803 fragmentation spectra corresponding to 8,801 unique substitution sites in proteins derived from 1,782 genes, including 2,000 confidently localized sites. Some substitutions are shared across samples, while others exhibit strong tissue-type and cancer specificity. Surprisingly, products of alternate translation are more abundant than their canonical counterparts for hundreds of proteins, suggesting sense codon recoding. Recoded proteins include transcription factors, proteases, signaling proteins, and proteins associated with neurodegeneration. Mechanisms contributing to substitution abundance include protein stability, codon frequency, codon-anticodon mismatches, and RNA modifications. We characterize how alternatively translated proteoform ratios vary across protein domains, tissue types and cancers. The substitution ratios are positively associated with intrinsically disordered regions and genetic polymorphisms in gnomAD, though the polymorphisms cannot account for the substitutions. The sequence, relative abundance, and the tissue-specificity of alternatively translated proteins are conserved between human and mouse. These results demonstrate the contribution of alternate translation to diversifying mammalian proteomes, and its association with protein stability, tissue-specific proteomes, and diseases.

Identifiers

PMID39253435
PMCPMC11383030

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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.