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Ultra-High Content Analysis (UHCA) of Single Cells in Tissue: 60+ channel immunofluorescence labeling kits and companion imaging software for everyone

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 4R44CA224994-02
Agency Tracking Number: R44CA224994
Amount: $1,499,730.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 102
Solicitation Number: PA16-302
Timeline
Solicitation Year: 2016
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-09-17
Award End Date (Contract End Date): 2020-08-31
Small Business Information
2657 MONROEVILLE BOULEVARD
Monroeville, PA 15146-2301
United States
DUNS: 078362963
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 MICHEL NEDERLOF
 (412) 389-2083
 mnederlof@qitissue.com
Business Contact
 MICHEL NEDERLOF
Phone: (412) 389-2083
Email: nederlofontheroad@mac.com
Research Institution
N/A
Abstract

We propose to create a modular suite of products that will make highly multiplexed imaging of individual cells in intact tissue available to a wide range of laboratories through validated labeling kits and companion imaging software that promotes discovery through interactive image and data visualizationOur goal is to create a suite of integrated labelingdisplay and analysis products to elucidate patterns of disease mechanisms in tissuewhich is not possible using current methodsTo ensure this goalwe have established a close partnership with Oregon Health Science UniversityOHSUand the commitment of a strong group of collaborators in the cancer research communityWe have developed a novel cycIF technology based on antibody conjugated oligonucleotidesAboligosBrieflya single stranded oligodocking strandDSis conjugated to the primary antibody which can be hybridized to a complementary single stranded oligoimaging strandISconjugated to a conventional fluorophoreEach DS IS pair was designed to contain a restriction enzymeREsite for selective removal of fluorescence permitting cycles of re staining and imagingCurrentlylittle functionality exists to optimally extract the wealth of information inbiomarker channel imagesWe introduce a novel tool that can dynamically visualize such imagestake advantage of the many channels for better cell segmentation even in complex tissueand automatically correct and register the multiple cyclesIn Phase Ia prototype of the imaging system will be built and tested with a subset of labelsUpon confirming feasibilityPhase II will focus on the creation of specific kits and software products in close harmony between biochemistrysoftwareand research needs We propose to create a modular suite of products that will make highly multiplexed imaging of individual cells in intact tissue available to a wide range of laboratoriesOur goal is to create a suite of integrated labelingdisplay and analysis products to elucidate patterns of disease mechanisms in tissuewhich is not possible using current methodswhich should help lead to more effectively strategies for therapy

* Information listed above is at the time of submission. *

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