Evidence map›Paper›PMID 42843974›Full record

ArticleLife science alliance2026

Allele-resolved monosome and polysome sequencing identifies cis-variants affecting mRNA translation.

Laura Alunno, Ilaria Massignani, Meriem Hadjer Hamadou, Fabio Mazza, Daniele Peroni, Romina Belli, Erik Dassi, Alessandro Romanel, Alberto Inga

Abstract read
In one paragraph

Article in Life science alliance, 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

9 authors.

Laura AlunnoLaboratory of Transcriptional Networks, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Trento, Italy.
Ilaria MassignaniLaboratory of Bioinformatics and Computational Genomics, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Trento, Italy.
Meriem Hadjer HamadouLaboratory of Transcriptional Networks, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Trento, Italy.
Fabio MazzaLaboratory of Bioinformatics and Computational Genomics, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Trento, Italy.
Daniele PeroniMass Spectrometry Core Facility, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Trento, Italy.ORCID https://orcid.org/0000-0002-0862-266X
Romina BelliMass Spectrometry Core Facility, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Trento, Italy.
Erik DassiLaboratory of RNA Regulatory Networks, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Trento, Italy.
Alessandro RomanelLaboratory of Bioinformatics and Computational Genomics, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Trento, Italy.ORCID https://orcid.org/0000-0003-4855-8620
Alberto IngaLaboratory of Transcriptional Networks, Department of Cellular, Computational, and Integrative Biology, CIBIO, University of Trento, Trento, Italy alberto.inga@unitn.it.ORCID https://orcid.org/0000-0002-8767-1637

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To prioritize germline genetic variants affecting mRNA fate at the translational level, we used sucrose gradient-based isolation of 80S monosomes and polysomes, followed by RNA sequencing in RPE-1 cells, under mock and nutlin treatment conditions. Differential gene expression analysis confirmed a canonical p53 response. Heterozygous SNPs and SNVs were identified from the RNA-sequencing data, and allelic fractions were calculated for total, monosomal, and polysomal mRNAs. Variants showing reproducible allelic fraction differences across fractions beyond experimental variability were defined as tranSNPs. Among over 7,000 heterozygous variants analyzable in polysomal RNA and over 5,000 in mRNAs associated with monosome-enriched fractions, 1,247 in 1,015 genes displayed a significant imbalance. Reporter assays performed in RPE-1 and HCT116 cells validated allelic or haplotype effects for 17 selected variants in UTRs and coding regions, confirming differences in 15 cases, with evidence of cell line-specific responses. Proteomic analysis supported allelic imbalance for a few selected missense variants. Monosome-enriched fractions improved sensitivity in measuring allelic imbalances without introducing a tranSNP positional bias, suggesting that 80S profiling enhances detection of allele-specific translational regulation in RPE-1 cells.

Indexed as

PolyribosomesProtein BiosynthesisRNA, MessengerAllelesCell LineHCT116 CellsHumansPolymorphism, Single NucleotideProteomicsSequence Analysis, RNARNA, Messenger

Identifiers

PMID42843974
PMCPMC13646498

What OpenQuestion holds

Textmetadata
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.