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VIRdb 2.0: Interactive analysis of comorbidity conditions associated with vitiligo pathogenesis using co-expression
Priyansh Srivastava1, Mehak Talwar1, Aishwarya Yadav1
1Amity Institute of Biotechnology, Amity University, Noida, Uttar Pradesh, 201301, India.
F1000Research
|March 26, 2021
Summary
This study identifies key genes linking vitiligo and autoimmune disorders like psoriasis. The updated Vitiligo Information Resource (VIRdb 2.0) aids researchers in developing new vitiligo treatments.
Area of Science:
- Dermatology and Immunology
- Bioinformatics and Computational Biology
Background:
- Vitiligo pathogenesis remains unclear, though an autoinflammatory basis is widely accepted.
- Vitiligo frequently co-occurs with autoimmune disorders, including psoriasis, multiple sclerosis, and rheumatoid arthritis.
Purpose of the Study:
- To identify differentially co-expressed genes involved in the crosstalk between vitiligo and associated autoimmune disorders.
- To present VIRdb 2.0, an updated and expanded web resource for vitiligo research.
Main Methods:
- Analysis of differentially co-expressed genes in vitiligo and related autoimmune conditions.
- Integration of multi-omics datasets into the Vitiligo Information Resource (VIRdb).
- Connecting datasets to external biological databases (KEGG, STRING, GeneCards, SwissProt, NPASS).
Main Results:
- Identification of a comprehensive set of genes involved in the crosstalk between vitiligo and associated autoimmune disorders.
- Development and release of VIRdb 2.0, an interactive, curated web resource.
- VIRdb 2.0 integrates multi-omics data and links to established biological databases.
Conclusions:
- VIRdb 2.0 provides a valuable, user-friendly platform for researchers and clinicians.
- The resource facilitates a deeper understanding of vitiligo pathogenesis and associated autoimmune conditions.
- VIRdb 2.0 is expected to aid in the development of novel therapeutic strategies for vitiligo.
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