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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > DNA
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Surrogate Tissue Analysis - Genomic, Proteomic, and Metabolomic Approaches (Hardcover)
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Surrogate Tissue Analysis - Genomic, Proteomic, and Metabolomic Approaches (Hardcover)
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Despite rapidly expanding interest in potential applications of
surrogate tissue analysis and intense competition to identify and
validate biomarkers in appropriate surrogate tissues, very few peer
reviewed publications describing the use of this approach have
appeared in the scientific press. One of the first publications on
this topic, Surrogate Tissue Analysis: Genomic, Proteomic, and
Metabolomic Approaches describes initial applications and
considerations for "omic" technologies in the field of surrogate
tissue analysis. Highlighting important issues to consider when
conducting profiling studies to identify novel biomarkers, the
first section covers transcriptional approaches in surrogate
tissues. It provides a review of important issues in peripheral
blood profiling, summarizes results achieved when evaluations of
various blood preparation platforms are used for the purpose of
transcriptional profiling, and covers the relatively novel
application of transcriptional profiling in neurological and
oncological disease settings. The second section focuses on
proteomic and protein-based methods for identifying markers in
surrogate tissues, highlighting immunoassay and mass-spectrometry
approaches for assessment of proteins in serum and other fluids,
with a focus on the implications of protein-based biomarkers for
detecting and monitoring early stages of cancer. The third section
explores metabolomic approaches along with other novel molecular
screens that can be applied in surrogate tissues to find
biomarkers, and examines in detail the rapid development of
metabolomics into a powerful technique for biomarker
identification. The authors conclude with coverage of regulatory
considerations, economic impact, and pan-omic strategies which will
undoubtedly impact surrogate tissue analysis in the future. They
explore current concepts in pan-omic approaches during drug
development where a compendium of data generated by multiple
profiling approaches are assessed and evaluated with its impact on
the field of systems biology. The last chapter rounds out the
coverage with a brief look ahead towards future analytical issues
that will likely arise in the field of surrogate tissue analysis.
The book is both an introduction to the various "omic" technologies
in this young field and a fundamental reference for scientists
interested in identifying biomarkers in surrogate tissues.
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