Evidence map›Paper›PMID 30015953›Full record

ArticleMolecular medicine reports2018

Bioinformatic analysis of microRNA expression in Huntington's disease.

Xiaoyu Dong, Shuyan Cong

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

10 citing papers in PubMed, 17 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

2 authors at 1 institution in 1 country.

Xiaoyu DongDepartment of Neurology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China.
Shuyan CongDepartment of Neurology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Huntington's disease (HD) is an inherited, progressive neurodegenerative disease caused by a CAG expansion in the Huntingtin (HTT) gene and various dysfunctions of biological processes in HD have been proposed. Although monogenic, the exact pathogenesis of HD currently remains unclear. To identify the synergistic microRNA (miRNA) pattern in HD, the miRNA expression profile dataset GSE64977 and the gene expression profile dataset GSE64810 were downloaded. Programming software R was used to identify differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs). Target genes of DEMs were predicted using the TargetScan database. Gene ontology (GO) function of DEGs was generated using the FunRich and a miRNA‑mRNA interaction network was constructed using Cytoscape software. In total, 1,612 DEGs and 10 DEMs were identified. GO terms mainly included inflammatory response and immune response in DEGs. A total of 745 target genes were predicted from the DEMs and 33 overlaps were identified between these target genes and DEGs. The miRNA network demonstrated that hsa‑miR‑4488, hsa‑miR‑196a‑5p, and hsa‑miR‑549a had a high degree and may be involved with the pathogenesis and potential therapeutic targets of HD.

Indexed as

Computational BiologyDatabases, GeneticGene Regulatory NetworksHumansHuntington DiseaseMicroRNAsRNA, MessengerTranscriptomeMicroRNAsRNA, Messenger

Identifiers

PMID30015953
PMCPMC6102687
OpenAlexW2810495160

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.