WFRF:(Borang S)
Search: WFRF:(Borang S) > (2001-2004) > Novel candidate gen...
- 1 of 4
- Previous record
- Next record
- To hitlist
Novel candidate genes for atherosclerosis are identified by representational difference analysis-based transcript profiling of cholesterol-loaded macrophages
- Andersson, T. (author)
- Borang, S. (author)
- Larsson, M. (author)
- show more...
- Wirta, V. (author)
- show less...
- (creator_code:org_t)
- 2002-09-20
- 2001
- English.
- In: Pathobiology (Basel). - : S. Karger AG. - 1015-2008 .- 1423-0291. ; 69:6, s. 304-314
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- Objectives: To analyze the early gene expression in macrophages accompanying the phenotypic changes into foam cells upon exposure to oxidized low-density lipoprotein. To identify candidate genes and markers for further studies into the pathogenesis of atherosclerosis. Methods: Cells of the monocytic cell line THP-1 were activated by PMA and exposed to oxidized low-density lipoprotein. Gene expression profiles were investigated after 24 h, using a solid phase cDNA representational difference analysis (RDA) method and shotgun sequencing. Results were verified by microarray hybridization, and analyzed in the virtual chip display of a novel software tool for transcript profile exploration. Results: By comparing transcript profiles of exposed/unexposed cells, 1,984 transcript sequences, representing a total of 921 genes with altered expression levels in response to oxidized low-density lipoprotein exposure, were identified. Genes that are central to cell cycle control and proliferation, inflammatory response, and of pathways not previously implicated in atherosclerosis were identified. The data obtained is also made available on-line at http:// biobase.biotech.kth.se/thp1a for further exploration. Conclusion: The identification of new candidate genes for atherosclerotic disease through RDA-based transcript profiling facilitates further functional genomic studies in coronary artery disease. Candidate genetic polymorphism markers of potential clinical relevance can be identified by filtering information in genome variation databases through the virtual chip analysis of the transcript profiles and subsequently tested in association studies.
Keyword
- gene expression
- subtraction
- virtual chip
- atherosclerosis
- representational difference analysis
- oxidized low-density lipoprotein
- THP-1
- foam cell
- macrophage
- transcript profiling
- wilms-tumor gene
- low-density-lipoprotein
- nitric-oxide synthase
- ppar-gamma
- cell-line
- expression
- differentiation
- wt1
- protein
- thp-1
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
- Pathobiology (Basel) (Search for host publication in LIBRIS)
To the university's database
- 1 of 4
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Andersson, T.
- Borang, S.
- Larsson, M.
- Wirta, V.
- Wennborg, A.
- Lundeberg, Joaki ...
- show more...
- Odeberg, Jacob
- show less...
- Articles in the publication
- Pathobiology (Ba ...
- By the university
- Royal Institute of Technology
- Karolinska Institutet
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
