Cited by 473Single-cell and spatial transcriptomicsCancer Genomics and DiagnosticsAdvanced Proteomics Techniques and Applications

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Single-cell analysis tools for drug discovery and development

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Heath, James R., Ribas, Antoni, Mischel, Paul S.·2016·Nature Reviews Drug Discovery

DOI 10.1038/nrd.2015.16PMC PMC4883669

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Abstract

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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Authors: Heath, J. R., Ribas, A., & Mischel, P. S.
Affiliations: California Institute of Technology (US)
University of California, Los Angeles (US)
University of California San Diego (US)
Corresponding author: Heath, James R.
ORCID: Heath, James R.
Ribas, Antoni
Mischel, Paul S.
Venue: Nature Reviews Drug Discovery
Publisher: Springer Science and Business Media LLC
Published: 2015-12-16
Volume: 15
Issue: 3
Pages: 204-216
ISSN: 1474-1776 (ISSN-L)
1474-1784
DOI: 10.1038/nrd.2015.16
PMC: PMC4883669
OpenAlex: W2248179576
Cited by: 473
References: 173
Citations by year: 2026: 13 · 2025: 28 · 2024: 30 · 2023: 51 · 2022: 39 · 2021: 43 · 2020: 56 · 2019: 61 · 2018: 75 · 2017: 56 · 2016: 20
FWCI: 4.88
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.springer.com/tdm (tdm)
Locations: Nature Reviews Drug Discovery (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
CaltechAUTHORS (California Institute of Technology) (submittedVersion)
eScholarship (California Digital Library) (submittedVersion)
Funders: National Institutes of Health (5u54ca119347-03)
National Cancer Institute (5U54 CA119347, U54-CA119347, U54CA199090, R01CA170689)
National Institute of Neurological Disorders and Stroke (R01NS073831)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
Keywords: single-cell analysis, drug discovery, drug development, cellular heterogeneity, single-cell genomics, single-cell transcriptomics, single-cell proteomics, multiplex proteomics, biomarkers, disease models
MeSH terms: Animals, Humans, Genomics, Proteomics, Drug Discovery, Single-Cell Analysis

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Single-cell analysis tools for drug discovery and development

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