SBIR/STTR Research Award
Streamlined labeling of degraded RNA for expression arrays
Award amount
$270,964Program and phase
SBIR · Phase IAward year
2008Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- AMBION DIAGNOSTICS, INC.
- Proposal award date
- Not reported
- Contract end date
- Not reported
- UEI
- Not reported
- Solicitation number
- PHS2007-2
- Topic code
- Not reported
Research abstract
DESCRIPTION (provided by applicant): This is a proposal to develop a cGMP-manufactured RNA labeling kit suitable for clinical diagnostic assays and research applications that require multiplex RNA detection. The kit's target preparation technology will en
able accurate and reproducible profiling of total RNA, including both microRNA (miRNA) and mRNA transcripts when combined with compatible microarray platforms. In contrast to conventional labeling methods, this RNA labeling method provides an innovative ap
proach to the analysis of clinical samples with compromised RNA such as biofluids and formalin-fixed, paraffinembedded (FFPE) tissues. A kit that provides clinical researchers access to accurate and comprehensive expression profiles from FFPE tissues is li
kely to accelerate the identification and development of RNA biomarkers with clinical utility for cancer diagnosis and prognosis. Furthermore, because the direct, end-labeling procedure is simpler and faster than commercially available target preparation k
its for arrays, it should be readily integrated into a streamlined diagnostic format for clinical laboratories. Phase I will optimize and the labeling method for RNA from FFPE tissues and evaluate its performance prior to entering the development cycle req
uired for cGMP manufacturing guidelines that will make the kit suitable for implementation into clinical diagnostic laboratories. PUBLIC HEALTH RELEVANCE: This improved method for labeling RNA will provide for a robust, reliable and accurate kit that wil
l enable the analysis of important clinical samples and will be integrated into emerging clinical assays to support patient care and clinical management of disease.
Technology keywords
Not reported