Evidence map›Paper›PMID 20949028›Full record

ArticlePloS one2010

Ultra-deep sequencing reveals the microRNA expression pattern of the human stomach.

Ândrea Ribeiro-dos-Santos, André S Khayat, Artur Silva, Dayse O Alencar, Jessé Lobato, Larissa Luz, Daniel G Pinheiro, Leonardo Varuzza, Monica Assumpção, Paulo Assumpção and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

42 citing papers in PubMed, 66 citations in OpenAlex.

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  17. A novel signaling role for miR-451 in esophageal tumor microenvironment and its contribution to tumor progression.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2017
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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

15 authors at 3 institutions in 1 country.

Ândrea Ribeiro-dos-SantosInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Brazil. akely@ufpa.br
André S Khayat
Artur Silva
Dayse O Alencar
Jessé Lobato
Larissa Luz
Daniel G Pinheiro
Leonardo Varuzza
Monica Assumpção
Paulo Assumpção
Sidney Santos
Dalila L Zanette
Wilson A Silva
Rommel Burbano
Sylvain Darnet
Universidade Federal do Pará · BRUniversidade de Ribeirão Preto · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile microRNAs (miRNAs) play important roles in tissue differentiation and in maintaining basal physiology, little is known about the miRNA expression levels in stomach tissue. Alterations in the miRNA profile can lead to cell deregulation, which can induce neoplasia. METHODOLOGY/PRINCIPAL

findingsA small RNA library of stomach tissue was sequenced using high-throughput SOLiD sequencing technology. We obtained 261,274 quality reads with perfect matches to the human miRnome, and 42% of known miRNAs were identified. Digital Gene Expression profiling (DGE) was performed based on read abundance and showed that fifteen miRNAs were highly expressed in gastric tissue. Subsequently, the expression of these miRNAs was validated in 10 healthy individuals by RT-PCR showed a significant correlation of 83.97% (P<0.05). Six miRNAs showed a low variable pattern of expression (miR-29b, miR-29c, miR-19b, miR-31, miR-148a, miR-451) and could be considered part of the expression pattern of the healthy gastric tissue. CONCLUSIONS/SIGNIFICANCE: This study aimed to validate normal miRNA profiles of human gastric tissue to establish a reference profile for healthy individuals. Determining the regulatory processes acting in the stomach will be important in the fight against gastric cancer, which is the second-leading cause of cancer mortality worldwide.

Indexed as

Gastric MucosaGene Expression ProfilingHumansMicroRNAsReverse Transcriptase Polymerase Chain ReactionSequence Analysis, RNAMicroRNAs

Identifiers

PMID20949028
PMCPMC2951895
OpenAlexW2015812615

What OpenQuestion holds

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LicenceCC BY
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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.