Evidence map›Paper›PMID 29557376›Full record

ArticleNeural regeneration research2018

High-throughput sequencing analysis of differentially expressed miRNAs and target genes in ischemia/reperfusion injury and apelin-13 neuroprotection.

Chun-Mei Wang, Xue-Lu Yang, Ming-Hui Liu, Bao-Hua Cheng, Jing Chen, Bo Bai

Abstract read
In one paragraph

Article in Neural regeneration research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Review
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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

6 authors.

Chun-Mei WangNeurobiology Institute, Jining Medical University, Jining, Shandong Province, China.
Xue-Lu YangNeurobiology Institute, Jining Medical University, Jining, Shandong Province, China.
Ming-Hui LiuNeurobiology Institute, Jining Medical University, Jining, Shandong Province, China.
Bao-Hua ChengNeurobiology Institute, Jining Medical University, Jining, Shandong Province, China.
Jing ChenNeurobiology Institute, Jining Medical University, Jining, Shandong Province, China.
Bo BaiNeurobiology Institute, Jining Medical University, Jining, Shandong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

miRNAs regulate a variety of biological processes through pairing-based regulation of gene expression at the 3' end of the noncoding region of the target miRNA. miRNAs were found to be abnormally expressed in ischemia/reperfusion injury models. High-throughput sequencing is a recently developed method for sequencing miRNAs and has been widely used in the analysis of miRNAs. In this study, ischemia/reperfusion injury models were intracerebroventricularly injected with 50 μg/kg apelin-13. High-throughput sequencing showed that 357 known miRNAs were differentially expressed among rat models, among which 78 changed to > 2-fold or < 0.5-fold. Quantitative real-time polymerase chain reaction was selected to confirm the expression levels of four miRNAs that were differentially expressed, the results of which were consistent with the results of high-throughput sequencing. Gene Ontology analysis revealed that the predicted targets of the different miRNAs are particularly associated with cellular process, metabolic process, single-organism process, cell, and binding. Kyoto Encyclopedia of Gene and Genome analysis showed that the target genes are involved in metabolic pathways, mitogen-activated protein kinase signaling pathway, calcium signaling pathway, and nuclear factor-κB signaling pathway. Our findings suggest that differentially expressed miRNAs and their target genes play an important role in ischemia/reperfusion injury and neuroprotection by apelin-13.

Indexed as

apelinhigh-throughput sequencingischemia/reperfusion injurymicroRNAnerve regenerationneural regenerationneuropeptideneuroprotectionRNA sequencing

Identifiers

PMID29557376
PMCPMC5879898

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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.