SBIR/STTR Research Award
Cellular model for personalized CFTR-directed therapeutics.
Award amount
$1,580,674Program and phase
SBIR · Phase IIAward year
2017Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- BINNACLE BIOSCIENCES LLC
- Proposal award date
- 2017-08-01
- Contract end date
- 2019-07-31
- UEI
- Not reported
- Solicitation number
- HL15-027
- Topic code
- NHLBI
Research abstract
Project Abstract Summary
This proposal is a NHLBI RFARto develop and validate a novel human cell based diagnostic tool
for predicting individual cystic fibrosisCFpatient responses to drugs that improve the function of
mutated forms of the cystic fibrosis transmembrane conductance regulatorCFTRproteinLargescale in vitro expansion of human nasal epithelial cells is now feasibleThe primary cellswhen
differentiated as air liquid interface culturesALIrecapitulate a patient specific CFTR phenotype and
provide a sensitive and reproducible platform for testing CFTR directed therapeuticsTransepithelial
ion transport is a direct measure of CFTR function and in vitro demonstration of improved function of
mutated CFTR has been shown to predict clinical benefit in specific patientsNasal epithelial cells are
collected from CF subjectsculturedand cryopreserved to generate a bank of cells of known CFTR
genotypeCells are expandedseeded onto filter supports for ALI cultureup tocultures subjectdifferentiatedtested for CFTR expression and activityThe immediate goals of this
project are to use the primary HNE cell cultures toestablish reproducibility of inter patient CFTRdrug response variabilitydetermine if in vitro responses predict long term in vivo clinical benefitandidentify rare mutations that respond to existing CFTR modulatorsThe long term goal is to show that
this in vitro human cell model predicts individual patient responses to CFTR directed therapeutics and
to develop a diagnostic platform to guide optimization of personalized therapies for all CF patients
Technology keywords
Not reported
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