Functional genomics in identification of drug targets in Dupuytren's contracture

Sedic, M., Jurisic, D., Stanec, Z., Hock, K., Pavelic, K. and Pavelic, S. K. (2010) Functional genomics in identification of drug targets in Dupuytren's contracture. Frontiers in Bioscience, 15 1: 57-64. doi:10.2741/3606

Author Sedic, M.
Jurisic, D.
Stanec, Z.
Hock, K.
Pavelic, K.
Pavelic, S. K.
Title Functional genomics in identification of drug targets in Dupuytren's contracture
Journal name Frontiers in Bioscience   Check publisher's open access policy
ISSN 1093-9946
Publication date 2010-01-01
Sub-type Article (original research)
DOI 10.2741/3606
Open Access Status
Volume 15
Issue 1
Start page 57
End page 64
Total pages 8
Place of publication Albertson, NY, United States
Publisher Frontiers in Bioscience
Language eng
Abstract Although functional genomics methods offer new viewpoint on molecular processes involved in particular pathological state, these methods, in particular proteomics, are still under-represented in Dupuytren's contracture research. However, several recent papers based on functional genomics technologies represent a breakthrough in studying Dupuytren's contracture as they revealed new molecular players that had been impossible to detect by traditional molecular biology methods. Using computational tools to provide biological context for such broad arrays of data accelerates the process of homing in on the potential molecular markers and drug targets. Interactomes, maps of protein-protein interactions characteristic for the disease and as such putative models of its molecular pathology, are especially useful for this purpose, facilitating the transition from global screening methods to specific experiments aimed at therapy development. The combination of these approaches in Dupuytren's contracture research might therefore facilitate the discovery of novel therapeutic targets and diagnostic markers indicative of disease progression.
Keyword Bioinformatics
Dupuytren's contracture
Functional genomics
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Biological Sciences Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 3 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Wed, 27 Aug 2014, 14:22:34 EST by Gail Walter on behalf of School of Biological Sciences