Evidence map›Paper›PMID 34917903›Full record

ArticleiScience2021

Samuel Valentini, Caterina Marchioretti, Alessandra Bisio, Annalisa Rossi, Sara Zaccara, Alessandro Romanel, Alberto Inga

Abstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Samuel ValentiniDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123 Trento, Italy.
Caterina MarchiorettiDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123 Trento, Italy.
Alessandra BisioDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123 Trento, Italy.
Annalisa RossiDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123 Trento, Italy.
Sara ZaccaraDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123 Trento, Italy.
Alessandro RomanelDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123 Trento, Italy.
Alberto IngaDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123 Trento, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few studies have explored the association between SNPs and alterations in mRNA translation potential. We developed an approach to identify SNPs that can mark allele-specific protein expression levels and could represent sources of inter-individual variation in disease risk. Using MCF7 cells under different treatments, we performed polysomal profiling followed by RNA sequencing of total or polysome-associated mRNA fractions and designed a computational approach to identify SNPs showing a significant change in the allelic balance between total and polysomal mRNA fractions. We identified 147 SNPs, 39 of which located in UTRs. Allele-specific differences at the translation level were confirmed in transfected MCF7 cells by reporter assays. Exploiting breast cancer data from TCGA we identified UTR SNPs demonstrating distinct prognosis features and altering binding sites of RNA-binding proteins. Our approach produced a catalog of

Indexed as

Computational bioinformaticsMolecular mechanism of gene regulationTranscriptomics

Identifiers

PMID34917903
PMCPMC8666669

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.