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Transcription profiling of rheumatic diseases
Rheumatic diseases are a diverse group of disorders. Most of these diseases are heterogeneous in nature and show varying responsiveness to treatment. Because our understanding of the molecular complexity of rheumatic diseases is incomplete and criteria for categorization are limited, we mainly refer...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2688218/ https://www.ncbi.nlm.nih.gov/pubmed/19232067 http://dx.doi.org/10.1186/ar2557 |
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author | van Baarsen, Lisa GM Bos, Carina L Pouw Kraan, Tineke CTM van der Verweij, Cornelis L |
author_facet | van Baarsen, Lisa GM Bos, Carina L Pouw Kraan, Tineke CTM van der Verweij, Cornelis L |
author_sort | van Baarsen, Lisa GM |
collection | PubMed |
description | Rheumatic diseases are a diverse group of disorders. Most of these diseases are heterogeneous in nature and show varying responsiveness to treatment. Because our understanding of the molecular complexity of rheumatic diseases is incomplete and criteria for categorization are limited, we mainly refer to them in terms of group averages. The advent of DNA microarray technology has provided a powerful tool to gain insight into the molecular complexity of these diseases; this technology facilitates open-ended survey to identify comprehensively the genes and biological pathways that are associated with clinically defined conditions. During the past decade, encouraging results have been generated in the molecular description of complex rheumatic diseases, such as rheumatoid arthritis, systemic lupus erythematosus, Sjögren syndrome and systemic sclerosis. Here, we describe developments in genomics research during the past decade that have contributed to our knowledge of pathogenesis, and to the identification of biomarkers for diagnosis, patient stratification and prognostication. |
format | Text |
id | pubmed-2688218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26882182009-07-30 Transcription profiling of rheumatic diseases van Baarsen, Lisa GM Bos, Carina L Pouw Kraan, Tineke CTM van der Verweij, Cornelis L Arthritis Res Ther Review Rheumatic diseases are a diverse group of disorders. Most of these diseases are heterogeneous in nature and show varying responsiveness to treatment. Because our understanding of the molecular complexity of rheumatic diseases is incomplete and criteria for categorization are limited, we mainly refer to them in terms of group averages. The advent of DNA microarray technology has provided a powerful tool to gain insight into the molecular complexity of these diseases; this technology facilitates open-ended survey to identify comprehensively the genes and biological pathways that are associated with clinically defined conditions. During the past decade, encouraging results have been generated in the molecular description of complex rheumatic diseases, such as rheumatoid arthritis, systemic lupus erythematosus, Sjögren syndrome and systemic sclerosis. Here, we describe developments in genomics research during the past decade that have contributed to our knowledge of pathogenesis, and to the identification of biomarkers for diagnosis, patient stratification and prognostication. BioMed Central 2009 2009-01-30 /pmc/articles/PMC2688218/ /pubmed/19232067 http://dx.doi.org/10.1186/ar2557 Text en Copyright © 2009 BioMed Central Ltd |
spellingShingle | Review van Baarsen, Lisa GM Bos, Carina L Pouw Kraan, Tineke CTM van der Verweij, Cornelis L Transcription profiling of rheumatic diseases |
title | Transcription profiling of rheumatic diseases |
title_full | Transcription profiling of rheumatic diseases |
title_fullStr | Transcription profiling of rheumatic diseases |
title_full_unstemmed | Transcription profiling of rheumatic diseases |
title_short | Transcription profiling of rheumatic diseases |
title_sort | transcription profiling of rheumatic diseases |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2688218/ https://www.ncbi.nlm.nih.gov/pubmed/19232067 http://dx.doi.org/10.1186/ar2557 |
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