DocumentCode
2501933
Title
Common Features Identification of Differently Expressed Genes Related to Endemic Osteoarthritis Disease
Author
Wu, Xiaoming ; Du, Jianqiang ; Wang, Bo ; Liu, Lili ; Wang, Shuang ; Guo, Xiong
Author_Institution
Key Lab. of Biomed. Inf. Eng. of Minist. of Educ., Xi´´an Jiaotong Univ., Xi´´an, China
fYear
2009
fDate
11-13 June 2009
Firstpage
1
Lastpage
4
Abstract
Kashin-Beck disease (KBD) is a chronic, endemic osteochondropathy in China. cDNA microarray techniques were used to select the differentially expressed genes between the healthy and KBD patients. 227 differently expressed genes were used to identify common characteristics. By using GeneMerge anaysis, the common functions of these genes were identified and some of which are related to metal ion binding, such as magnesium ion binding and zinc ion binding. The upstream sequences of these genes were also downloaded from genomic databases and a sequence dataset was constructed. A distance tree was then achieved according to sequences similarity comparing. Finally, 7 gene clusters, each of which contained 2~3 genes with similar function were obtained.
Keywords
diseases; genetics; lab-on-a-chip; medical computing; GeneMerge anaysis; KBD patients; Kashin-Beck disease; cDNA microarray techniques; endemic osteoarthritis disease; gene clusters; genes expression; genomic databases; magnesium ion binding; metal ion binding; osteochondropathy; sequence dataset; zinc ion binding; Biomedical engineering; Blood; Bone diseases; Databases; Degenerative diseases; Fluorescence; Gene expression; Humans; Laboratories; Osteoarthritis;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2901-1
Electronic_ISBN
978-1-4244-2902-8
Type
conf
DOI
10.1109/ICBBE.2009.5162527
Filename
5162527
Link To Document