ArticleJournal of biological research (Thessalonike, Greece)2019
A systematic simulation-based meta-analytical framework for prediction of physiological biomarkers in alopecia.
Article in Journal of biological research (Thessalonike, Greece), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Inflammatory Signatures and Biological Markers in Platelet-Rich Plasma Therapy for Hair Regrowth: A Comprehensive Narrative Analysis.Diagnostics (Basel, Switzerland) · 2025Review
- Critical Role of LMCD1 in Promoting Profibrotic Characteristics of Lung Myofibroblasts in Experimental and Scleroderma-Associated Lung Fibrosis.Arthritis & rheumatology (Hoboken, N.J.) · 2023Article
- Genome-wide Meta-analysis Reveals New Gene Signatures and Potential Drug Targets of Hypertension.ACS omega · 2022Article
- Myristoylation of LMCD1 Leads to Its Species-Specific Derepression of E2F1 and NFATc1 in the Modulation of CDC6 and IL-33 Expression During Development of Vascular Lesions.Arteriosclerosis, thrombosis, and vascular biology · 2020Article
- Computational tools for modern vaccine development.Human vaccines & immunotherapeutics · 2020Review
- Assessment of Prolonged Dengue Virus Infection in Dermal Fibroblasts and Hair-Follicle Dermal Papilla Cells.Viruses · 2020Article
- Identification and characterization of circRNAs in the skin during wool follicle development in Aohan fine wool sheep.BMC genomics · 2020Article
- Transcriptomic Analysis Reveals the Involvement of lncRNA-miRNA-mRNA Networks in Hair Follicle Induction in Aohan Fine Wool Sheep Skin.Frontiers in genetics · 2020Article
- Parental Uveitis Influences Offspring With an Increased Susceptibility to the Experimental Autoimmune Uveitis.Frontiers in immunology · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlopecia 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.
resultsWe 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
conclusionOur integrative approach helps to prioritize the biomarkers that ultimately lessen the economic burden of experimental studies. It will also be valuable to discover mutants in genomic data in order to increase the identification of new biomarkers for similar problems.
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