Validating and Translating Array Signatures

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$99,999.00
Award Year:
2004
Program:
SBIR
Phase:
Phase I
Contract:
1R43CA110542-01
Award Id:
70733
Agency Tracking Number:
CA110542
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
ALTHEA TECHNOLOGIES, INC., 11040 ROSELLE ST, SAN DIEGO, CA, 92121
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
JOSEPH MONFORTE
(858) 882-0144
JMONFORTE@ALTHEATECH.COM
Business Contact:
(858) 882-0130
Research Institute:
n/a
Abstract
DESCRIPTION (provided by applicant) In the area of cancer, microarray analysis is being used to identify specific differences between normal and disease tissues. Such efforts are leading to the identification of small gene sets, or signatures, that can provide key information for classifying cancer types. We propose here a mechanism for translating these discoveries into cost-effective, quantitative assays based on the use of highly multiplexed, universal-primer-driven rtPCR (UP-rtPCR). In this proposal we will demonstrate and validate the combined use of artificial neural network analysis for identification of small gene signatures and UP-rtPCR technology for translating these signatures into high throughput assays for use in research and clinical settings. Success will be measured by the ability of this approach to differentiate 4 types of small, round, blue-cell tumors. This work will be performed in collaboration with Drs. Javed Khan and Gary Fogel.

* information listed above is at the time of submission.

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