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Analysis of differentially expressed genes in keloids and normal skin with cDNA microarray
Wei Chen1, Xiaobing Fu, Xiaoqing Sun
1Wound Healing and Cell Biology Laboratory, Burns Institute, 304th Hospital, Trauma Center of Postgraduate Medical College, Beijing 100037, People's Republic of China.
The Journal of Surgical Research
|September 6, 2003
Summary
This study used cDNA microarray to analyze gene expression differences in keloids versus normal skin. It identified 402 differentially expressed genes, including key factors like TGF-beta1 and NGF, advancing keloid molecular mechanism understanding.
Area of Science:
- Molecular Biology
- Dermatology
- Genomics
Background:
- Keloid formation is a complex process likely influenced by multiple genes.
- Understanding gene expression in keloids is crucial for elucidating disease mechanisms.
Purpose of the Study:
- To investigate differential gene expression between keloid and normal skin tissues.
- To identify genes involved in the molecular pathogenesis of keloids using cDNA microarray.
Main Methods:
- Utilized a cDNA microarray platform analyzing 8400 human genes.
- Isolated total RNA from keloid and normal skin, converted to fluorescently labeled cDNA probes.
- Hybridized probes to the microarray and scanned for differential fluorescent signals.
Main Results:
- Identified 402 genes (4.79%) with altered expression levels in keloids compared to normal skin.
- 250 genes were upregulated (including TGF-beta1, NGF) and 152 were downregulated.
- Gene expression data for collagen, fibronectin, and growth factors aligned with existing clinical and biochemical observations.
Conclusions:
- cDNA microarray technology is effective for identifying gene expression differences in keloids.
- Numerous genes play a role in keloid formation.
- Further analysis of identified genes will enhance understanding of keloid molecular mechanisms.