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Connecting chemosensitivity, gene expression and disease.

Connecting chemosensitivity, gene expression and disease. Research Abstract Details 

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  • Connecting chemosensitivity, gene expression and disease. Abstract Text:

    david g covellDavid G Covell,david g covellDavid G Covell,

    Omics-based investigations offer potentially powerful readouts that might be useful for probing the underlying biology of normal and diseased states, identifying novel therapeutic targets and proposing relevant markers for designing treatment strategies. A vital component of these investigations involves a systematic analysis of gene expression and chemosensitivity data in the context of disease states and small molecule probes into the function of targets responsible for a disease phenotype. Systematic analysis of chemical and pharmacogenetics data offers a possible means to identify novel, small-molecule, potentially therapeutic, agents that affect the phenotype of a particular target. Elegantly simple in concept, the covariation of genetic and chemosensitivity readouts provide a hypothetical link for relating compounds through genomic expression profiles to underlying biology.

    Connecting chemosensitivity, gene expression and disease. Publishing Authors By Initials

    dg covellDG Covell,dg covellDG Covell,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

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    Connecting chemosensitivity, gene expression and disease. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Trends in pharmacological sciences

    VOLUME: 29

    Page Numbers: 1-5

    Journal Abbreviation: Trends Pharmacol. Sci.

    ISSN: 0165-6147

    DAY: 4

    MONTH: 12

    YEAR: 2007

    Connecting chemosensitivity, gene expression and disease. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 7906158

    Connecting chemosensitivity, gene expression and disease. Keywords Mesh Terms:

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    Grant and Affiliation Information for Connecting chemosensitivity, gene expression and disease.

    AFFILIATION: Laboratory of Computational Technologies, Screening Technologies Branch, Developmental Therapeutics Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, NCI-Frederick, Frederick, MD 21702, USA.

    Country: England

    England Research PublicationEngland Research Publication

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    MEDLINETA: Trends Pharmacol Sci

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