SBIR/STTR Research Award

Digital Gene Expression Analysis by 3’ End Sequencing

Award identifier efe3850ea354d5eccea2117490125f5297a7865b85ca7537a16b45216d466978Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$270,000

Program and phase

STTR · Phase I

Award year

2016

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
BIOO SCIENTIFIC CORPORATION
Proposal award date
2016-04-01
Contract end date
2018-03-31
UEI
Z24GLNTRPBT5
Solicitation number
PA14-072
Topic code
172

Research abstract

DESCRIPTION provided by applicant A key application of deep sequencing is gene expression analysis at the RNA level commonly known as RNA seq Reads from RNA seq cover all regions of an mRNA sequence However sequences derived from the andapos end region are sufficient to indicate gene expression levels All andapos end sequencing methods have revealed that most eukaryotic genes display alternative cleavage and polyadenylation APA where RNA isoforms using different cleavage and polyadenylation sites pAs can be generated from a gene Importantly different APA isoforms have been shown to have different metabolisms including stability localization and translation APA clearly poses a challenge for gene expression analysis Current RNA seq methods cannot capture this information second false pA identification due to internal priming leads to inaccurate APA information third complete analysis of gene expression needs to take into consideration all APA isoforms We have proposed a new method that completely addresses false priming incomplete andapos end annotation and significantly propels research on single cell RNA expression and poly A tail length which have so far been elusive The final goal of this proposal is to develop a commercial kit allowing non specialized labs the ability to examine andapos ends in an accurate and sensitive manner PUBLIC HEALTH RELEVANCE Deep sequencing a k a next generation sequencing technologies have revolutionized biology and medicine in recent years We plan to develop a kit that solves mis priming issues that commonly plague andapos end sequencing methods and provides sensitive and robust analysis of gene expression

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

26 SBIR/STTR records share this UEI (2007–2016). Reported award amounts total $7,244,135. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services, National Science Foundation, Department of Defense, Department of Agriculture

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.