Current literature has an abundance of high-throughput shRNA screening data. However, an effective comparison is impeded by the variety of approaches to library construction, screening protocol, and experimental materials. The objectives of the open source DECIPHER project are to provide tools for researchers to perform and analyze comprehensive shRNA knockdown screens and to develop a standardized yet versatile platform for collecting and comparing results from different studies and labs.
DECIPHER pooled lentiviral shRNA libraries in plasmid format and the necessary software to decipher the raw data are provided to academic and non-profit researchers under MTA at no charge.
The DECIPHER RNAi Screening platform will aid researchers interested in functional annotation of signaling networks, interpretation of viability screening and expression profiling results, and collaboration with other DECIPHER Project members. DECIPHER development is funded in part by several NIH grants (CA098374, NCRR RR024095, NHGRI HG003355, NCI CA134062, NCI CA141848) and distributed based on the NIH resource sharing policy. There are three components to the DECIPHER project: shRNA libraries, data analysis software suite, and web-integrated database.
The DECIPHER Project was established by Cellecta, Inc. under collaboration and joint grants with the Fred Hutchinson Cancer Research Center, the Roswell Park Cancer Institute, and The Scripps Research Institute. We would like to acknowledge Dr. Gus Frangou from the FHCRC and Dr. Andrei Gudkov of the RPCI for their invaluable contributions and scientific expertise.
We also wish to acknowledge Agilent Technologies for granting us exclusive, early-access to their Oligo Library Synthesis technology for shRNA library applications.
Addgene helps distribute DECIPHER
DECIPHER Human Module 3 is released
View the DECIPHER Project Launch Press Release