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Integrative Omics Analysis of Rheumatoid Arthritis Identifies Non-Obvious Therapeutic Targets
Identifying novel therapeutic targets for the treatment of disease is challenging. To this end, we developed a genome-wide approach of candidate gene prioritization. We independently collocated sets of genes that were implicated in rheumatoid arthritis (RA) pathogenicity through three genome-wide as...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4406750/ https://www.ncbi.nlm.nih.gov/pubmed/25901943 http://dx.doi.org/10.1371/journal.pone.0124254 |
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author | Whitaker, John W. Boyle, David L. Bartok, Beatrix Ball, Scott T. Gay, Steffen Wang, Wei Firestein, Gary S. |
author_facet | Whitaker, John W. Boyle, David L. Bartok, Beatrix Ball, Scott T. Gay, Steffen Wang, Wei Firestein, Gary S. |
author_sort | Whitaker, John W. |
collection | PubMed |
description | Identifying novel therapeutic targets for the treatment of disease is challenging. To this end, we developed a genome-wide approach of candidate gene prioritization. We independently collocated sets of genes that were implicated in rheumatoid arthritis (RA) pathogenicity through three genome-wide assays: (i) genome-wide association studies (GWAS), (ii) differentially expression in RA fibroblast-like synoviocytes (FLS), and (iii) differentially methylation in RA FLS. Integrated analysis of these complementary data sets identified a significant enrichment of multi-evidence genes (MEGs) within pathways relating to RA pathogenicity. One MEG is Engulfment and Cell Motility Protein-1 (ELMO1), a gene not previously considered as a therapeutic target in RA FLS. We demonstrated in RA FLS that ELMO1 is: (i) expressed, (ii) promotes cell migration and invasion, and (iii) regulates Rac1 activity. Thus, we created links between ELMO1 and RA pathogenicity, which in turn validates ELMO1 as a potential RA therapeutic target. This study illustrated the power of MEG-based approaches for therapeutic target identification. |
format | Online Article Text |
id | pubmed-4406750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44067502015-05-07 Integrative Omics Analysis of Rheumatoid Arthritis Identifies Non-Obvious Therapeutic Targets Whitaker, John W. Boyle, David L. Bartok, Beatrix Ball, Scott T. Gay, Steffen Wang, Wei Firestein, Gary S. PLoS One Research Article Identifying novel therapeutic targets for the treatment of disease is challenging. To this end, we developed a genome-wide approach of candidate gene prioritization. We independently collocated sets of genes that were implicated in rheumatoid arthritis (RA) pathogenicity through three genome-wide assays: (i) genome-wide association studies (GWAS), (ii) differentially expression in RA fibroblast-like synoviocytes (FLS), and (iii) differentially methylation in RA FLS. Integrated analysis of these complementary data sets identified a significant enrichment of multi-evidence genes (MEGs) within pathways relating to RA pathogenicity. One MEG is Engulfment and Cell Motility Protein-1 (ELMO1), a gene not previously considered as a therapeutic target in RA FLS. We demonstrated in RA FLS that ELMO1 is: (i) expressed, (ii) promotes cell migration and invasion, and (iii) regulates Rac1 activity. Thus, we created links between ELMO1 and RA pathogenicity, which in turn validates ELMO1 as a potential RA therapeutic target. This study illustrated the power of MEG-based approaches for therapeutic target identification. Public Library of Science 2015-04-22 /pmc/articles/PMC4406750/ /pubmed/25901943 http://dx.doi.org/10.1371/journal.pone.0124254 Text en © 2015 Whitaker et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Whitaker, John W. Boyle, David L. Bartok, Beatrix Ball, Scott T. Gay, Steffen Wang, Wei Firestein, Gary S. Integrative Omics Analysis of Rheumatoid Arthritis Identifies Non-Obvious Therapeutic Targets |
title | Integrative Omics Analysis of Rheumatoid Arthritis Identifies Non-Obvious Therapeutic Targets |
title_full | Integrative Omics Analysis of Rheumatoid Arthritis Identifies Non-Obvious Therapeutic Targets |
title_fullStr | Integrative Omics Analysis of Rheumatoid Arthritis Identifies Non-Obvious Therapeutic Targets |
title_full_unstemmed | Integrative Omics Analysis of Rheumatoid Arthritis Identifies Non-Obvious Therapeutic Targets |
title_short | Integrative Omics Analysis of Rheumatoid Arthritis Identifies Non-Obvious Therapeutic Targets |
title_sort | integrative omics analysis of rheumatoid arthritis identifies non-obvious therapeutic targets |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4406750/ https://www.ncbi.nlm.nih.gov/pubmed/25901943 http://dx.doi.org/10.1371/journal.pone.0124254 |
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