Functionally Validated Lentiviral siRNA libraries

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$1,860,304.00
Award Year:
2010
Program:
SBIR
Phase:
Phase II
Contract:
2R44RR024095-02
Award Id:
85972
Agency Tracking Number:
RR024095
Solicitation Year:
n/a
Solicitation Topic Code:
NCRR
Solicitation Number:
n/a
Small Business Information
CELLECTA, INC., 320 Logue Avenue, MOUNTAIN VIEW, CA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
780594185
Principal Investigator:
ALEX CHENCHIK
(650) 938-3914
ACHENCHIK@CELLECTA.COM
Business Contact:
ALEX CHENCHIK
() -
achenchik@cellecta.com
Research Institute:
n/a
Abstract
DESCRIPTION (provided by applicant): Despite rapid advances in elucidating the molecular basis of human diseases, an ostensibly more difficult post-genomic challenge is the functional annotation of disease-specific signaling pathways and integration of thi s information into the development of novel drugs. RNA interference (RNAi) now makes it possible to use large-scale functional genomic strategies for target identification. Unfortunately, while RNAi has opened many potential avenues for improving the drug discovery process, these avenues remain only potential opportunities until we develop robust RNAi screening technologies, as well as experimental and bioinformatics tools for data validation and integration of this information into operational cell-based m odels. To address these issues, in Phase I, we developed second generation functionally validated (FV) human druggable genome lentiviral 15K shRNA libraries, and we have demonstrated their utility for deciphering cell- signaling pathways. The ultimate goa l of the Phase II studies is to develop and establish a cost-effective novel functional genomics platform to facilitate the discovery of therapeutic molecular targets en masse. Specifically, we propose to scale-up development of and commercialize a compreh ensive set of human and mouse genome- wide FV shRNA libraries. These libraries will have improved performance and be designed for cost-effective pooled-format screening and identification of effectors by high-throughput (HT) sequencing. As supporting tools , we will develop protocols, reagents and software tools for in vitro and in vivo screening hit validation and therapeutic target prioritization. To test the performance of our functional genomics platform, we propose to use our novel RNAi resource to deli neate the processes that underlie tumorigenesis in breast epithelial cells. We will perform synthetic lethality screens in a unique panel of isogenic human mammary epithelial cell (HMEC) lines that comprise the most relevant breast cancer genetic alteratio ns. Furthermore, we will validate the results of our in vitro screens in xenograft models using both fully transformed HMECs and common breast cancer cell lines. Our findings will then be combined with data collected from scientific publications and presen ted in a publicly available knowledge base, with the ultimate goal of developing models of signaling pathways that specifically control the proliferation and survival of breast cancer cells. These developed RNAi screening, validation and software tools wi ll be commercialized as products and custom services to provide the research community with highly modular, cost-effective approaches for studies aimed at understanding and integrating dynamic changes in signal transduction networks and ultimately delineat ing disease-specific phenotypes. As a result, we foresee that these toolsets will significantly improve the efficiency, economy and ease of elucidating and modeling disease-specific signal transduction networks and provide basic researchers with preferred, cost-effective alternatives to existing commercially available reagents and software. The proposed RNAi screening and bioinformatics strategies harbor considerable potential to systematically identify new anti-cancer targets for therapeutic intervention a nd to facilitate the development of highly specific drugs, biomarkers and novel therapeutic concepts. PUBLIC HEALTH RELEVANCE: The ultimate goal of the Phase II project is to develop and make commercially available a novel orthogonal functional geno mics platform to facilitate discovery and validation of therapeutic molecular targets en masse. As a first step, we propose to develop and make commercially available a set of second generation of functionally-validated genome-wide human and mouse 65K pool ed shRNA lentiviral libraries with improved performance and optimized design for cost-effective genetic screens. As a confirmation tool, we will develop protocols for high-throughput in-vitro and ex-vivo validation of drug target candidates identified in t he screen with pooled shRNA sublibraries. From a bioinformatics viewpoint, we will make software tools for integration of RNAi screening data with transcriptome profiling and molecular network information mined from scientific literature. The proposed func tional genomics platform will be applied and validated for the discovery of novel cancer therapeutic targets in a unique collection of isogenic human mammary epithelial cell (HMEC) lines, comprising the most common breast cancer genetic alterations. As a r esult of these studies we will reconstruct synthetic lethality pathways and make publicly available breast cancer knowledge database. These developed RNAi screening, validation and software tools will be commercialized as products and custom services to p rovide the research community with highly modular, cost-effective approaches for studies aimed at understanding and integrating dynamic changes in signal transduction networks and ultimately delineating disease-specific phenotypes. As a result, we foresee that these toolsets will significantly improve the efficiency, economy and ease of elucidating and modeling disease-specific signal transduction networks and provide basic researchers with preferred, cost-effective alternatives to existing commercially ava ilable reagents and software. The proposed RNAi screening and bioinformatics strategies harbor considerable potential to systematically identify new anti-cancer targets for therapeutic intervention and to facilitate the development of highly specific drugs , biomarkers and novel therapeutic concepts.

* information listed above is at the time of submission.

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