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A systematic simulation-based meta-analytical framework for prediction of physiological biomarkers in alopecia
- Source :
- Journal of Biological Research, Journal of Biological Research-Thessaloniki, Vol 26, Iss 1, Pp 1-16 (2019)
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- Background Alopecia or hair loss is a complex polygenetic and psychologically devastating disease affecting millions of men and women globally. Since the gene annotation and environmental knowledge is limited for alopecia, a systematic analysis for the identification of candidate biomarkers is required that could provide potential therapeutic targets for hair loss therapy. Results We designed an interactive framework to perform a meta-analytical study based on differential expression analysis, systems biology, and functional proteomic investigations. We analyzed eight publicly available microarray datasets and found 12 potential candidate biomarkers including three extracellular proteins from the list of differentially expressed genes with a p-value
- Subjects :
- Microarray
Systems biology
Computational biology
Biology
WIF1
03 medical and health sciences
PPI networks
0302 clinical medicine
medicine
lcsh:QH301-705.5
030304 developmental biology
0303 health sciences
Research
Wnt signaling pathway
Alopecia
Functional genomics
medicine.disease
Hair follicle
Gene expression profiling
Meta-analysis
Hair loss
medicine.anatomical_structure
lcsh:Biology (General)
030220 oncology & carcinogenesis
Biomarkers
Subjects
Details
- ISSN :
- 22415793
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- Journal of Biological Research-Thessaloniki
- Accession number :
- edsair.doi.dedup.....bc683a15b6ee52feb73a4eef3fa2116e