Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1783664007292387328 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7953917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT srivastavapriyansh virdb20interactiveanalysisofcomorbidityconditionsassociatedwithvitiligopathogenesisusingcoexpressionnetworkbasedapproach AT talwarmehak virdb20interactiveanalysisofcomorbidityconditionsassociatedwithvitiligopathogenesisusingcoexpressionnetworkbasedapproach AT yadavaishwarya virdb20interactiveanalysisofcomorbidityconditionsassociatedwithvitiligopathogenesisusingcoexpressionnetworkbasedapproach AT choudharyalakto virdb20interactiveanalysisofcomorbidityconditionsassociatedwithvitiligopathogenesisusingcoexpressionnetworkbasedapproach AT mohantysabyasachi virdb20interactiveanalysisofcomorbidityconditionsassociatedwithvitiligopathogenesisusingcoexpressionnetworkbasedapproach AT bhartisamuel virdb20interactiveanalysisofcomorbidityconditionsassociatedwithvitiligopathogenesisusingcoexpressionnetworkbasedapproach AT naradpriyanka virdb20interactiveanalysisofcomorbidityconditionsassociatedwithvitiligopathogenesisusingcoexpressionnetworkbasedapproach AT senguptaabhishek virdb20interactiveanalysisofcomorbidityconditionsassociatedwithvitiligopathogenesisusingcoexpressionnetworkbasedapproach |