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Whole Blood Transcriptomic Analysis to Identify Clinical Biomarkers of Drug Response

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Pharmacogenomics in Drug Discovery and Development

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1175))

Abstract

Since most immunological and hematological conditions might be expected to alter whole blood gene expression, its examination can lead to insights into disease processes, and biomarkers to assess molecular phenotypes, disease states, progression and response to therapy. In this chapter we describe collection and storage of RNA from whole blood, techniques to measure gene expression, and analytical approaches to identify the dysregulated gene expression using pathway and clustering analysis, gene set enrichment, heat map approaches, and cell subset deconvolution.

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Authors and Affiliations

  1. Westmead Millennium Institute, University of Sydney, Hawkesbury Road, Sydney, NSW, 2145, Australia

    Grant P. Parnell & David R. Booth

Authors
  1. Grant P. Parnell
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  2. David R. Booth
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Corresponding author

Correspondence to David R. Booth .

Editor information

Editors and Affiliations

  1. PharmTao, Santa Clara, California, USA

    Qing Yan

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Parnell, G.P., Booth, D.R. (2014). Whole Blood Transcriptomic Analysis to Identify Clinical Biomarkers of Drug Response. In: Yan, Q. (eds) Pharmacogenomics in Drug Discovery and Development. Methods in Molecular Biology, vol 1175. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-0956-8_3

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  • DOI: https://doi.org/10.1007/978-1-4939-0956-8_3

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-0955-1

  • Online ISBN: 978-1-4939-0956-8

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