Evidence map›Paper›PMID 32613399›Full record

ArticleMolecular biology reports2020

Global correlation analysis for miRNA and protein expression profiles in human peripheral blood mononuclear cells.

Liang Huang, Fei-Yan Deng, Shu-Feng Lei

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 62% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Liang HuangCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, 215123, Jiangsu, People's Republic of China.
Fei-Yan DengCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, 215123, Jiangsu, People's Republic of China.
Shu-Feng LeiCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, 215123, Jiangsu, People's Republic of China. leisf@suda.edu.cn.ORCID http://orcid.org/0000-0003-1453-8082
Soochow University · CN

Funding

Natural Science Foundation of Jilin Province 560 thousand yuan
6 · The paper itself

Abstract

Micro-RNAs (miRNAs) are small noncoding RNAs that negatively regulate gene expression at protein level by protein translation inhibition or mRNA degradation. However, the global correlation patterns between miRNA and protein have not been studied yet. To establish the global correlation patterns in human peripheral blood mononuclear cells (PBMCs), this study conducted multiple types of miRNA-protein correlation analyses in 28 Chinese subjects. Pearson correlation analysis showed a negative but relatively small global correlation in each subject. Among the 371 constructed miRNA-protein pairs (60 unique miRNAs, and 150 unique proteins), 10.5% of pairs have significant correlations (P < 0.05). Some highlighted miRNAs (e.g., hsa-miR-590-3p, hsa-miR-520d-3p) exerted significant regulation on multiple genes. Simultaneously, some genes (e.g., HSP90B1) were targeted by multiple miRNAs. The target genes associated with miRNAs tend to enrich in some important GO terms: biological processes (e.g., gene expression, protein binding and RNA binding), and molecular functions (protein binding: GO:0005515; RNA binding: GO:0003723). The results provided a global view of the miRNA-protein expression correlation profile in human PBMCs, which would facilitate in-depth investigation of biological functions of key miRNAs/proteins and better understanding of the pathogenesis underlying PBMC related diseases.

Indexed as

TranscriptomeAdultAgedFemaleHumansLeukocytes, MononuclearMicroRNAsMiddle AgedProteomeMicroRNAsProteomeCorrelationmiRNANetworkPeripheral blood mononuclear cellsProtein

Identifiers

PMID32613399
OpenAlexW3039625059

What OpenQuestion holds

Textmetadata
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Registered trials

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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.