Quantitative RT-PCR: Prediction Lymphoma Transformation

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$100,000.00
Award Year:
2005
Program:
STTR
Phase:
Phase I
Contract:
1R42CA113212-01
Agency Tracking Number:
CA113212
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Idaho Technology
390 Wakara Way, Salt Lake City, UT, 84108
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
KOJO ELENITOBAJOHNSON
(801) 581-5854
KOJO.ELENITOBAJ@PATH.UTAH.EDU
Business Contact:
(801) 582-5138
Research Institution:
UNIVERSITY OF UTAH

75 South 2000 East
Room 111
SALT LAKE CITY, UT, 84112

Nonprofit college or university
Abstract
DESCRIPTION (provided by applicant): Completion of the human genome and the advent of expression profiling have permitted comprehensive characterization of the transcriptional signatures of different disease states. Quantitative fluorescent real-time polymerase chain reaction-based methods have emerged as a powerful tool in molecular diagnostics as they combine extraordinary dynamic range of quantification and superior specificity. Despite the remarkable advances in real-time fluorescence quantification techniques, this technique has yet to gain widespread application in the analysis of gene expression fixed paraffin-embedded tissues, which is the most common way in which biopsy material is archived. In the R41 phase of this fast-track application, we will establish the utility of a simple approach to the performance of quantitative RT-PCR on RNA derived from formalin-fixed paraffinembedded tissue. The technique is advantageous in that it is simple and compatible with the design of PCR for short amplicons, without compromising target specificity. By the end of the R41 phase of this project, we would have established the feasibility, reproducibility and robustness of our quantitative real-time RT-PCR approach on RNA derived from formalin-fixed paraffin embedded tissue material. These studies will serve as the foundation for the gene expression profiling studies evaluating the predictive power of a previously identified set of ~30 genes to predict the transformation of follicular lymphoma to an aggressive large B-cell lymphoma in phase II.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government