Abstract

Major obstacle in the management of fungal diseases is the availability of rapid diagnostic procedure. The growth-based phenotypic testing is still the method of choice in many microbiology laboratories. More recently, an ion-paired reverse phase chromatography (IP-RP)-based molecular assay has been developed. This molecular approach includes PCR amplification of ribosomal DNA followed by Restriction Fragment Length Polymorphism (RFLP) analysis using the commercially available IPRP-chromatography system called the WAVE. To make this molecular assay adaptable in a diagnostic laboratory, we developed a computational tool that allows automation of data management and query. This assay is simple, rapid, and has allowed for rapid identification of 27 out of 28 medically important fungi. The use of internal control in the sample and data analysis significantly improved the specificity of this assay. The contribution of this computational approach in reducing the turnaround time for the test is expected to translate into improved patient care.

Original languageEnglish (US)
Title of host publicationProceedings of the 41st Annual Hawaii International Conference on System Sciences 2008, HICSS
DOIs
StatePublished - Sep 16 2008
Event41st Annual Hawaii International Conference on System Sciences 2008, HICSS - Big Island, HI, United States
Duration: Jan 7 2008Jan 10 2008

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Conference

Conference41st Annual Hawaii International Conference on System Sciences 2008, HICSS
CountryUnited States
CityBig Island, HI
Period1/7/081/10/08

Fingerprint

Fungi
Polymorphism
Assays
Chromatography
Microbiology
Turnaround time
Information management
Amplification
DNA
Automation
Availability
Ions
Testing

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Bastola, D. R., Chandio, S. H., Iwen, P. C., Hinrichs, S. H., & Ali, H. H. (2008). RFLP-WAVE analysis for rapid identification of medically important fungi. In Proceedings of the 41st Annual Hawaii International Conference on System Sciences 2008, HICSS [4438933] (Proceedings of the Annual Hawaii International Conference on System Sciences). https://doi.org/10.1109/HICSS.2008.379

RFLP-WAVE analysis for rapid identification of medically important fungi. / Bastola, Dhundy Raj; Chandio, Sarfraz H.; Iwen, Peter Charles; Hinrichs, Steven Heye; Ali, Hesham H.

Proceedings of the 41st Annual Hawaii International Conference on System Sciences 2008, HICSS. 2008. 4438933 (Proceedings of the Annual Hawaii International Conference on System Sciences).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bastola, DR, Chandio, SH, Iwen, PC, Hinrichs, SH & Ali, HH 2008, RFLP-WAVE analysis for rapid identification of medically important fungi. in Proceedings of the 41st Annual Hawaii International Conference on System Sciences 2008, HICSS., 4438933, Proceedings of the Annual Hawaii International Conference on System Sciences, 41st Annual Hawaii International Conference on System Sciences 2008, HICSS, Big Island, HI, United States, 1/7/08. https://doi.org/10.1109/HICSS.2008.379
Bastola DR, Chandio SH, Iwen PC, Hinrichs SH, Ali HH. RFLP-WAVE analysis for rapid identification of medically important fungi. In Proceedings of the 41st Annual Hawaii International Conference on System Sciences 2008, HICSS. 2008. 4438933. (Proceedings of the Annual Hawaii International Conference on System Sciences). https://doi.org/10.1109/HICSS.2008.379
Bastola, Dhundy Raj ; Chandio, Sarfraz H. ; Iwen, Peter Charles ; Hinrichs, Steven Heye ; Ali, Hesham H. / RFLP-WAVE analysis for rapid identification of medically important fungi. Proceedings of the 41st Annual Hawaii International Conference on System Sciences 2008, HICSS. 2008. (Proceedings of the Annual Hawaii International Conference on System Sciences).
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