Detection and analysis of differentially expressed genes in the lungs of mice with polymicrobial sepsis by cDNA microarray
- VernacularTitle:基因表达谱芯片用于检测脓毒症小鼠肺组织基因表达的改变
- Author:
Mingqiang LI
;
Bangxiong ZENG
- Publication Type:Journal Article
- Keywords:
Sepsis;
Lung;
Gene expression;
DNA ,complementary
- From:
Chinese Journal of Anesthesiology
1996;0(09):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To detect the genes differentially expressed in sepsis-injured lungs and discover new genetic targets for management of sepsis-induced acute lung injury (ALI) and evaluate the role of cDNA microarray in the study of molecular pathogenesis of sepsis. Methods In a murine model of polymicrobial sepsis induced by cecal ligation and puncture (CLP), the gene expression patterns of the lungs of the animals in sepsis group and control group (Sham-operation ) were screened at 6 h and 12 h after CLP by using a commercially available cDNA microarray chips containing 2 201 cDNA clones. The cDNA of differentially expressed unique genes were sorted and analyzed. Results Of the 2 201 cDNA clones on the chip, 80 known unique genes had significant differential expression at 6 and/or 12 h after CLP as compared with those of mice in control group. 40 of the 80 genes were up-regulated and 40 down-regulated and they were related with a range of genetic functions, such as cell defence or immune/inflammatory reaction, acute-phase reaction or heat-shock reaction, redox regulation, cytoskeleton, cell apoptosis, cell signaling and cell metabolism etc. By functional analysis of these differentially expressed genes, some unique genes or expression patterns were interpreted in the context of septic ALI process and warrant further investigation. Conclusion cDNA microarray technique provides a powerful new tool for detecting differentially expressed genes and analyzing gene expression patterns in sepsis-injured tissues. Further study using this technique may yield great insight into the molecular pathologic mechanism of sepsis and discern new targets for therapeutic interventions.
