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Single-cell analysis tools for drug discovery and development

Heath, James R. and Ribas, Antoni and Mischel, Paul S. (2016) Single-cell analysis tools for drug discovery and development. Nature Reviews Drug Discovery, 15 (3). pp. 204-216. ISSN 1474-1776. PMCID PMC4883669.

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The genetic, functional or compositional heterogeneity of healthy and diseased tissues presents major challenges in drug discovery and development. Such heterogeneity hinders the design of accurate disease models and can confound the interpretation of biomarker levels and of patient responses to specific therapies. The complex nature of virtually all tissues has motivated the development of tools for single-cell genomic, transcriptomic and multiplex proteomic analyses. Here, we review these tools and assess their advantages and limitations. Emerging applications of single cell analysis tools in drug discovery and development, particularly in the field of oncology, are discussed.

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Heath, James R.0000-0001-5356-4385
Additional Information:© 2015 Macmillan Publishers Limited. Published online 16 December 2015. The authors acknowledge the following funding agencies and grants for support of some of the work described in this Review: The National Cancer Institute (5R01CA170689 to J.R.H. as the principal investigator (PI) and A.R. as the co-PI, and 5U54 CA119347 to J.R.H. as the PI); Stand up to Cancer Foundation (to A.R. and J.R.H.); the Cancer Research Institute (to A.R. and J.R.H.); The Ben and Catherine Ivy Foundation (to P.S.M. and J.R.H.); and the Jean Perkins Foundation (to J.R.H. as the PI). Competing interests statement: J.R.H. and A.R. are on the Scientific Advisory Board of Isoplexis, which is seeking to commercialize certain aspects of the single-cell barcode chip technology.
Funding AgencyGrant Number
NIH5U54 CA119347
Stand up to Cancer FoundationUNSPECIFIED
Cancer Research InstituteUNSPECIFIED
Ben and Catherine Ivy FoundationUNSPECIFIED
Jean Perkins FoundationUNSPECIFIED
National Cancer InstituteUNSPECIFIED
Subject Keywords:Cancer immunotherapy; Drug discovery; Genomics; Proteomics; Transcriptomics
Issue or Number:3
PubMed Central ID:PMC4883669
Record Number:CaltechAUTHORS:20151222-085917708
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:63126
Deposited By: Tony Diaz
Deposited On:22 Dec 2015 17:10
Last Modified:22 Apr 2020 21:43

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