ArticleJournal of clinical laboratory analysis2021
Web-based transcriptome analysis determines a sixteen-gene signature and associated drugs on hearing loss patients: A bioinformatics approach.
Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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Who cites it
3 citing papers in PubMed.
- Study on Screening Core Biomarkers of Noise and Drug-Induced Hearing Loss Based on Transcriptomics.Global medical genetics · 2023Article
- Identification of novel compound heterozygous mutations of the MYO15A gene with autosomal recessive non-syndromic hearing loss.Journal of clinical laboratory analysis · 2022Article
- Web-based transcriptome analysis determines a sixteen-gene signature and associated drugs on hearing loss patients: A bioinformatics approach.Journal of clinical laboratory analysis · 2021Article
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Authors and funding
8 authors.
Funding
Abstract
backgroundHearing loss is becoming more and more general. It may occur at all age and affect the language learning ability of children and trigger serious social problems.
methodsThe hearing loss differentially expressed genes (HL-DEGs) were recognized through a comparison with healthy subjects. The Gene Ontology (GO) analysis was executed by DAVID. The reactome analysis of HL-DEGs was performed by Clue-GO. Next, we used STRING, an online website, to identify crucial protein-protein interactions among HL-DEGs. Cytoscape software was employed to construct a protein-protein interaction network. MCODE, a plug-in of the Cytoscape software, was used for module analysis. Finally, we used DGIdb database to ascertain the targeted drugs for MCODE genes.
resultsFour hundred four HL-DEGs were identified, among which the most up-regulated 10 genes were AL008707.1, SDR42E1P5, BX005040.1, AL671883.2, MT1XP1, AC016957.1, U2AF1L5, XIST, DAAM2, and ADAMTS2, and the most down-regulated 10 genes were ALOX15, PRSS33, IL5RA, SMPD3, IGHV1-2, IGLV3-9, RHOXF1P1, CACNG6, MYOM2, and RSAD2. Through STRING database and MCODE analysis, we finally got 16 MCODE genes. These genes can be regarded as hearing loss related genes. Through biological analysis, it is found that these genes are enriched in pathways related to apoptosis such as tumor necrosis factor. Among them, MMP8, LTF, ORM2, FOLR3, and TCN1 have corresponding targeted drugs. Foremost, MCODE genes should be investigated for its usefulness as a new biomarker for diagnosis and treatment.
conclusionIn summary, our study produced a sixteen-gene signature and associated drugs that could be diagnosis and treatment of hearing loss patients.
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