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ExomiRHub: A comprehensive database for hosting and analyzing human disease-related extracellular microRNA transcriptomics data
- Source :
- Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 3104-3116 (2024)
- Publication Year :
- 2024
- Publisher :
- Elsevier, 2024.
-
Abstract
- Extracellular microRNA (miRNA) expression data generated by different laboratories exhibit heterogeneity, which poses challenges for biologists without bioinformatics expertise. To address this, we introduce ExomiRHub (http://www.biomedical-web.com/exomirhub/), a user-friendly database designed for biologists. This database incorporates 191 human extracellular miRNA expression datasets associated with 112 disease phenotypes, 62 treatments, and 24 genotypes, encompassing 29,198 and 23 sample types. ExomiRHub also integrates 16,012 miRNA transcriptomes of 156 cancer subtypes from The Cancer Genome Atlas. All the data in ExomiRHub were further standardized and curated with annotations. The platform offers 25 analytical functions, including differential expression, co-expression, Weighted Gene Co-Expression Network Analysis (WGCNA), feature selection, and functional enrichment, enabling users to select samples, define groups, and customize parameters for analyses. Moreover, ExomiRHub provides a web service that allows biologists to analyze their uploaded miRNA expression data. Four additional tools were developed to evaluate the functions and targets of miRNAs and miRNA variations. Through ExomiRHub, we identified extracellular miRNA biomarkers associated with angiogenesis for monitoring glioma progression, demonstrating its potential to significantly accelerate the discovery of extracellular miRNA biomarkers.
- Subjects :
- MiRNA
Extracellular vesicle
Exosome
Cancer
Liquid biopsy
Biotechnology
TP248.13-248.65
Subjects
Details
- Language :
- English
- ISSN :
- 20010370
- Volume :
- 23
- Issue :
- 3104-3116
- Database :
- Directory of Open Access Journals
- Journal :
- Computational and Structural Biotechnology Journal
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.30e82a00de4c441f8db64428b749dd2d
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.csbj.2024.07.024