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Quantitative RT-PCR: Prediction Lymphoma Transformation

Award Information

Agency:
Department of Health and Human Services
Branch:
N/A
Award ID:
75482
Program Year/Program:
2005 / STTR
Agency Tracking Number:
CA113212
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
IDAHO TECHNOLOGY
IDAHO TECHNOLOGY 390 WAKARA WAY SALT LAKE CITY, UT 84108
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2005
Title: Quantitative RT-PCR: Prediction Lymphoma Transformation
Agency: HHS
Contract: 1R42CA113212-01
Award Amount: $100,000.00
 

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.

Principal Investigator:

Kojo S. Elenitobajohnson
8015815854
KOJO.ELENITOBAJ@PATH.UTAH.EDU

Business Contact:


8015825138
Small Business Information at Submission:

Idaho Technology
390 Wakara Way Salt Lake City, UT 84108

EIN/Tax ID: 820439851
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
UNIVERSITY OF UTAH
75 South 2000 East
Room 111
SALT LAKE CITY, UT 84112
RI Type: Nonprofit college or university