SBIR/STTR Research Award

A functional array for signature of breast cancer

Award identifier 88ddcdca578a6424385b971789facef41336b5f9dea62c1f536b4b86b74714aaAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$184,896

Program and phase

SBIR · Phase I

Award year

2005

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Panomics, Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
PHS2005-2
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): Breast cancer is caused by the accumulation of genetic and epigenetic changes. The cDNA microarray technology has been widely used for identifying cancer-related changes in gene expression for breast tumor classification and prognosis. However, the information obtained from cDNA microarray analysis is not sufficient to accurately characterize the biological state of gene products. The profiling of cancer-related changes in protein functions is much informative in elucidating the molecular mechanism by which cancer occurs. Transcription factors are important cellular proteins, which regulate gene expression. We have recently developed protein/DNA array technology that is capable of profiling the activation of multiple transcription factors simultaneously. We propose to verify, in the phase I study, if this novel array technology can be used to identify cancer-related patterns of TF activity by profiling the activities of 300 transcription factors in breast cancer cell lines. We will develop (1) a glass microarray to replace the current membrane-based array and (2) nitrocellulose-based spin column to replace agarose gel separation of protein/DNA complexes. With the improvements, the entire assay procedures can be automated, which will make it much easier to analyze a lot of samples simultaneously. We will apply this technology to analyze 20 breast cancer cell lines that are derived from different stages of breast cancers as well as one normal breast cell line and to compare the patterns of transcription factor activity among them in order to identify the signature of transcription factors for breast cancers.

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

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