DocumentCode :
1855313
Title :
Identification of pathogenic fungi using computational and molecular biological approaches
Author :
Chandio, Sarfraz H. ; Bastola, Dhundy R. ; Iwen, Peter C. ; Hinrichs, Steven H.
Author_Institution :
Dept. of Comput. Sci., Nebraska Univ., Omaha, NE
fYear :
2005
fDate :
22-25 May 2005
Lastpage :
6
Abstract :
The lack of rapid diagnostic procedures is a major obstacle in the successful management of fungal disease. Most of the methods now used in the microbiology laboratory include growth-based phenotypic testing. However, polymerase chain reaction (PCR) has allowed for rapid identification of organism without the need for a growing culture. An ion-paired reverse phase chromatography (IP-RP)-based assay using high performance liquid chromatography (HPLC) was developed with commercially available IP-RP-HPLC system called the WAVE to differentiate medically important fungi. Universal fungus-specific primers and restriction fragment length polymorphism (RFLP) of PCR amplicon were done prior to WAVE analysis. The assay was enhanced when combined with a searchable relational database of retention time. Discrimination among closely related fungal species was possible by evaluation of distinct-retention time patterns. This assay is simple, rapid, and allows for the identification of medically important fungi by searching the database with the information obtained from PCR-WAVE analysis
Keywords :
biological specimen preparation; chromatography; diseases; medical diagnostic computing; microorganisms; molecular biophysics; pattern classification; relational databases; IP-RP-HPLC system; PCR amplicon; PCR-WAVE analysis; computational biological approach; distinct-retention time patterns; fungal disease; growth-based phenotypic testing; high performance liquid chromatography; ion-paired reverse phase chromatography based assay; microbiology laboratory; molecular biological approach; pathogenic fungi; polymerase chain reaction; relational database; restriction fragment length polymorphism; universal fungus-specific primers; Biology computing; Diseases; Fungi; Laboratories; Medical diagnostic imaging; Organisms; Pathogens; Polymers; Relational databases; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electro Information Technology, 2005 IEEE International Conference on
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-9232-9
Type :
conf
DOI :
10.1109/EIT.2005.1627000
Filename :
1627000
Link To Document :
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