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VIRdb 2.0: Interactive analysis of comorbidity conditions associated with vitiligo pathogenesis using co-expression network-based approach

Vitiligo is a disease of mysterious origins in the context of its occurrence and pathogenesis. The autoinflammatory theory is perhaps the most widely accepted theory that discusses the occurrence of Vitiligo. The theory elaborates the clinical association of vitiligo with autoimmune disorders such a...

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Autores principales: Srivastava, Priyansh, Talwar, Mehak, Yadav, Aishwarya, Choudhary, Alakto, Mohanty, Sabyasachi, Bharti, Samuel, Narad, Priyanka, Sengupta, Abhishek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953917/
https://www.ncbi.nlm.nih.gov/pubmed/33763205
http://dx.doi.org/10.12688/f1000research.25713.2
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author Srivastava, Priyansh
Talwar, Mehak
Yadav, Aishwarya
Choudhary, Alakto
Mohanty, Sabyasachi
Bharti, Samuel
Narad, Priyanka
Sengupta, Abhishek
author_facet Srivastava, Priyansh
Talwar, Mehak
Yadav, Aishwarya
Choudhary, Alakto
Mohanty, Sabyasachi
Bharti, Samuel
Narad, Priyanka
Sengupta, Abhishek
author_sort Srivastava, Priyansh
collection PubMed
description Vitiligo is a disease of mysterious origins in the context of its occurrence and pathogenesis. The autoinflammatory theory is perhaps the most widely accepted theory that discusses the occurrence of Vitiligo. The theory elaborates the clinical association of vitiligo with autoimmune disorders such as Psoriasis, Multiple Sclerosis and Rheumatoid Arthritis and Diabetes. In the present work, we discuss the comprehensive set of differentially co-expressed genes involved in the crosstalk events between Vitiligo and associated autoimmune disorders (Psoriasis, Multiple Sclerosis and Rheumatoid Arthritis). We progress our previous tool, Vitiligo Information Resource (VIRdb), and incorporate into it a compendium of Vitiligo-related multi-omics datasets and present it as VIRdb 2.0. It is available as a web-resource consisting of statistically sound and manually curated information. VIRdb 2.0 is an integrative database as its datasets are connected to KEGG, STRING, GeneCards, SwissProt, NPASS. Through the present study, we communicate the major updates and expansions in the VIRdb and deliver the new version as VIRdb 2.0. VIRdb 2.0 offers the maximum user interactivity along with ease of navigation. We envision that VIRdb 2.0 will be pertinent for the researchers and clinicians engaged in drug development for vitiligo.
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spelling pubmed-79539172021-03-23 VIRdb 2.0: Interactive analysis of comorbidity conditions associated with vitiligo pathogenesis using co-expression network-based approach Srivastava, Priyansh Talwar, Mehak Yadav, Aishwarya Choudhary, Alakto Mohanty, Sabyasachi Bharti, Samuel Narad, Priyanka Sengupta, Abhishek F1000Res Software Tool Article Vitiligo is a disease of mysterious origins in the context of its occurrence and pathogenesis. The autoinflammatory theory is perhaps the most widely accepted theory that discusses the occurrence of Vitiligo. The theory elaborates the clinical association of vitiligo with autoimmune disorders such as Psoriasis, Multiple Sclerosis and Rheumatoid Arthritis and Diabetes. In the present work, we discuss the comprehensive set of differentially co-expressed genes involved in the crosstalk events between Vitiligo and associated autoimmune disorders (Psoriasis, Multiple Sclerosis and Rheumatoid Arthritis). We progress our previous tool, Vitiligo Information Resource (VIRdb), and incorporate into it a compendium of Vitiligo-related multi-omics datasets and present it as VIRdb 2.0. It is available as a web-resource consisting of statistically sound and manually curated information. VIRdb 2.0 is an integrative database as its datasets are connected to KEGG, STRING, GeneCards, SwissProt, NPASS. Through the present study, we communicate the major updates and expansions in the VIRdb and deliver the new version as VIRdb 2.0. VIRdb 2.0 offers the maximum user interactivity along with ease of navigation. We envision that VIRdb 2.0 will be pertinent for the researchers and clinicians engaged in drug development for vitiligo. F1000 Research Limited 2021-02-01 /pmc/articles/PMC7953917/ /pubmed/33763205 http://dx.doi.org/10.12688/f1000research.25713.2 Text en Copyright: © 2021 Srivastava P et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Srivastava, Priyansh
Talwar, Mehak
Yadav, Aishwarya
Choudhary, Alakto
Mohanty, Sabyasachi
Bharti, Samuel
Narad, Priyanka
Sengupta, Abhishek
VIRdb 2.0: Interactive analysis of comorbidity conditions associated with vitiligo pathogenesis using co-expression network-based approach
title VIRdb 2.0: Interactive analysis of comorbidity conditions associated with vitiligo pathogenesis using co-expression network-based approach
title_full VIRdb 2.0: Interactive analysis of comorbidity conditions associated with vitiligo pathogenesis using co-expression network-based approach
title_fullStr VIRdb 2.0: Interactive analysis of comorbidity conditions associated with vitiligo pathogenesis using co-expression network-based approach
title_full_unstemmed VIRdb 2.0: Interactive analysis of comorbidity conditions associated with vitiligo pathogenesis using co-expression network-based approach
title_short VIRdb 2.0: Interactive analysis of comorbidity conditions associated with vitiligo pathogenesis using co-expression network-based approach
title_sort virdb 2.0: interactive analysis of comorbidity conditions associated with vitiligo pathogenesis using co-expression network-based approach
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953917/
https://www.ncbi.nlm.nih.gov/pubmed/33763205
http://dx.doi.org/10.12688/f1000research.25713.2
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