SBIR/STTR Research Award

Functional drug fingerprinting with all-optical electrophysiology

Award identifier ced40b8d4f55f479300b29f0975daa3776109907be93e4c632831e04d1032179Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$885,237

Program and phase

SBIR · Phase I

Award year

2019

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Q-State Biosciences, Inc.
Proposal award date
2019-09-20
Contract end date
2021-08-31
UEI
WWSMK3N4BCJ7
Solicitation number
PA18-574
Topic code
101

Research abstract

Project Summary Functional drug fingerprinting with all-optical electrophysiology The Optopatch platform recently developed at Q-State Biosciences, which uses engineered optogenetic proteins, custom microscopes, and software, makes it possible to simultaneously stimulate (blue light) and record (red light) electrical activity from ~100 neurons with 1 millisecond temporal resolution, single-cell spatial resolution and high signal-to-noise ratio. The Optopatch assays can record hundreds of parameters characterizing intrinsic excitability and neuronal function in both rodent and human induced pluripotent stem cell-derived neurons. Using these tools, we propose to develop a “drug fingerprint” database, where we characterize the impact of a library of drugs and tool compounds on neuronal excitability. The database will capture the unique functional effects of each compound and represent them as vectors in a reduced dimensionality fingerprinting space. The database can be leveraged in several ways in both internal programs and with pharma partners:1) Identification of targets of hits from a phenotypic screen. – Phenotypic screening offers theadvantage of testing compounds in a disease-relevant cell type or animal model but has thedisadvantage of not knowing the target(s) of effect. Target ID is essential information for de-risking the drug discovery process and matching the hits’ functional effects to the drugfingerprint database can accelerate or augment standard target identification approaches.2) Rapid identification of therapies in personalized medicine. – Q-State is expanding capabilitiesto identify therapeutic approaches for patients with severe genetic disorders who have a shortlife expectancy. Optopatch has identified functional deficits in neurons derived from individualpatients relative to healthy controls, and we hope the drug fingerprint database can be usedto expedite and focus therapy selection to those with high potential to correct the problem.This obviates the need to screen and entire drug library in patient neurons; requiring only themost promising compounds to be tested and saving time for a patient where time is limited. In this proposal, we first assemble the library and build the drug fingerprint database. We then test the two applications. Fidelity of target identification is tested using compounds with known targets, and the ability to identify phenotype-reversing drugs is tested using cell lines and phenotypes already established at Q-State. The tools developed will be a permanent asset and should catalyze the development of new therapeutics.Project Narrative Functional drug fingerprinting with all-optical electrophysiology Q-State has developed engineered proteins and custom microscopes that enable us to rapidly record electrical signaling in thousands of neurons grown in a dish and profile how their behavior changes in response to an applied drug. By testing a large set of drugs and tool compounds with known mechanism of actions in neuron, we will build a database of analytically characterized drug responses called “fingerprints.” We will use this fingerprint database to rapidly identify drugs that 1) might correct the aberrant behavior of neurons derived from a patient with a neurological disorder or 2) help identify the molecular target of a compound of interest discovered in a drug screen.

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

17 SBIR/STTR records share this UEI (2014–2020). Reported award amounts total $15,040,936. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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