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HIGH THROUGHPUT SYSTEM FOR FISH ANALYSIS

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R43CA094363-01
Agency Tracking Number: CA094363
Amount: $186,145.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2002
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
CANCER GENETICS, INC. 100 INMAN ST, STE 100
CAMBRIDGE, MA 02139
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 NALLASIVAM PALANISAMY
 (508) 458-1040
 NALLA@CANCERGENETICS.COM
Business Contact
 EDWARD O'LEAR
Phone: (617) 576-2155
Email: ED@CANCERGENETICS.COM
Research Institution
N/A
Abstract

Minimum Residual Disease (MRD) is currently identified using pathologic examination, cytogenetics, fluorescence activated cell sorting, and polymerase chain reaction (PCR). Pathologic examination, which assesses cancer cell morphology, is the standard method, but the detection limit is only 10/-1 to 10/-2. PCR has a detection limit of approximately 10/-5, but suffers, but suffers from lack of quantitation and spurious results during the amplification process. Fluorescence in situ hybridization (FISH) overcomes problems of sensitivity and specificity of current methods. Development of improved FISH probes, such as dual fusion probes for detecting chromosomes translocations, and automated slide scanning instrumentation, which permits analysis of up to 1,000 cells per second, make FISH an ideal method for detecting rare cancer cells in MRD and monitoring the efficacy of treatment. Using automated slide scanning instrumentation and novel dual fusion FISH probes, this Phase I SBIR aims to develop an automated system for performing interphase FISH analysis. Phase I research will use the t(14:18)(q32;q21) translocation, which characterizes approximately 60% of B-cell Non-Hodgkin's Lymphoma, as a model system. Phase I research will compare the sensitivity, reliability and throughput of the proposed automated method with conventional manual analysis.

* Information listed above is at the time of submission. *

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