Evidence map›Paper›PMID 35202085›Full record

ArticleNon-coding RNA2022

Hsa-miR-183-5p Modulates Cell Adhesion by Repression of

Carolina Oliveira-Rizzo, María Carolina Ottati, Rafael Sebastián Fort, Santiago Chavez, Juan Manuel Trinidad, Andrés DiPaolo, Beatriz Garat, José Roberto Sotelo-Silveira, María Ana Duhagon

Open access · goldAbstract read
In one paragraph

Article in Non-coding RNA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Carolina Oliveira-RizzoLaboratorio de Interacciones Moleculares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay.
María Carolina OttatiLaboratorio de Interacciones Moleculares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay.
Rafael Sebastián FortLaboratorio de Interacciones Moleculares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay.
Santiago ChavezLaboratorio de Interacciones Moleculares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay.ORCID 0000-0002-6312-7063
Juan Manuel TrinidadLaboratorio de Interacciones Moleculares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay.
Andrés DiPaoloDepartamento de Genómica, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo 11600, Uruguay.ORCID 0000-0001-5383-3151
Beatriz GaratLaboratorio de Interacciones Moleculares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay.
José Roberto Sotelo-SilveiraDepartamento de Genómica, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo 11600, Uruguay.
María Ana DuhagonLaboratorio de Interacciones Moleculares, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay.
Universidad de la República de Uruguay · UYInstituto de Investigaciones Biológicas Clemente Estable · UY

Funding

Agencia Nacional de Investigación e Innovación Student FellowshipsComisión Honoraria de Lucha contra el cáncer Research Grants 2011-DuhagonComisión Sectorial de Investigación Científica CAP Student FellowshipComisión Sectorial de Investigación Científica M.A.D. I+D 2016 #487Comisión Sectorial de Investigación Científica M.A.D I+D 2020 # 566Programa para el Desarrollo de las Ciencias Básicas (PEDECIBA, MEC), Uruguay Annual Aliquots and Equipment Aid Programs -Duhagon
6 · The paper itself

Abstract

Prostate cancer is a major health problem worldwide. MiR-183 is an oncomiR and a candidate biomarker in prostate cancer, affecting various pathways responsible for disease initiation and progression. We sought to discover the most relevant processes controlled by miR-183 through an unbiased transcriptomic approach using prostate cell lines and patient tissues to identify miR-183 responsive genes and pathways. Gain of function experiments, reporter gene assays, and transcript and protein measurements were conducted to validate predicted functional effects and protein mediators. A total of 135 candidate miR-183 target genes overrepresenting cell adhesion terms were inferred from the integrated transcriptomic analysis. Cell attachment, spreading assays and focal adhesion quantification of miR-183-overexpressing cells confirmed the predicted reduction in cell adhesion.

Indexed as

AGO-PAR-CLIPcancerfocal adhesionITGB1microRNAmiR-183prostateTCGA

Identifiers

PMID35202085
PMCPMC8875343
OpenAlexW4206326964

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.