title: Whole blood transcriptomic analysis to identify clinical biomarkers of drug response.
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.
authors.affiliation: Westmead Millennium Institute, University of Sydney, Hawkesbury Road, Sydney, NSW, 2145, Australia.
authors.forename: Grant P
authors.initials: GP
authors.lastname: Parnell
authors.forename: David R
authors.initials: DR
authors.lastname: Booth
mesh_terms: D015415:Biomarkers; D016000:Cluster Analysis; D019295:Computational Biology; D015870:Gene Expression; D020869:Gene Expression Profiling / Q000379:methods; D006801:Humans; D010597:Pharmacogenetics; D012313:RNA / Q000097:blood*; D017423:Sequence Analysis, RNA; D059467:Transcriptome
chemical_list: D015415:Biomarkers; D012313:RNA