DocumentCode :
1932930
Title :
High Content Cellular Analysis for Functional Screening of Novel Cell Cycle Related Genes
Author :
Kim, Desok ; Chae, Yong-su ; Kim, Soo Jung
Author_Institution :
Sch. of Eng.., Inf. & Commun. Univ., Daejeon
Volume :
1
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
148
Lastpage :
152
Abstract :
Functional screening of novel genes can be efficiently performed by detecting morphological changes of transfected cells. In this study, we developed automated cellular analysis software and found novel genes that induced mitotic phenotypes in transiently transfected HeLa cells. Systemic imaging errors common in high content microscopy were corrected by background subtraction and intensity normalization. Nuclear and chromatin objects were detected by tophat operations. Shape, intensity, and convex-hull features were extracted. Cell types were classified by several logistic regression formulas with 93.9% accuracy in average. The increased % mitotic cells were detected in 47 out of 571 transfected genes. Twenty genes showed more than two-fold increase in % mitotic cells confirmed by manual inspection. Among these, nine genes showed increased tissue expression levels in several tumors, thus, indicating their possible oncogenic roles. These genes will be further investigated biochemically to confirm their cell cycle related functions.
Keywords :
biology computing; cellular biophysics; genetics; medical computing; automated cellular analysis software; cell cycle related genes; chromatin objects; functional screening; high content cellular analysis; high content microscopy; imaging errors; mitotic cells; mitotic phenotypes; tophat operations; transfected HeLa cells; Biomedical engineering; DNA; Fluorescence; Image analysis; Information analysis; Microscopy; Neoplasms; Performance analysis; Shape; Throughput; Cell Cycle Analysis; High Content Screening;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
Type :
conf
DOI :
10.1109/BMEI.2008.233
Filename :
4548653
Link To Document :
بازگشت