TRAC in high-content gene expression analysis: Applications in microbial population studies, process biotechnology and biomedical research

Jari Rautio, Reetta Satokari, P. Vehmaan-Kreula, E. Serkkola, Hans Söderlund

    Research output: Contribution to journalArticleScientificpeer-review

    4 Citations (Scopus)

    Abstract

    More than a decade of intensive use of microarray technology has flooded the scientific community with genome-wide expression data of diverse biological states. As a result, connection of the expression signatures of a relatively small number of genes related to, for example, disease states, patient responses or toxicological responses has become possible. Development of tools that enable cost- and time-efficient analysis of such signatures from large sample numbers is currently of major interest for research, drug screening and diagnostic purposes. A method named transcript analysis with aid of affinity capture (TRAC) is a novel solution hybridization and bead-based assay enabling multiplex mRNA target detection simultaneously from large sample numbers. Functionality of TRAC has been shown in a number of applications, including microbial quantification, gene expression-based monitoring of biotechnical processes, cell-based cancer marker gene screening and siRNA validation, which are reviewed here.
    Original languageEnglish
    Pages (from-to)379-385
    Number of pages7
    JournalExpert Review of Molecular Diagnostics
    Volume8
    Issue number4
    DOIs
    Publication statusPublished - 2008
    MoE publication typeA1 Journal article-refereed

    Keywords

    • biotechnical process
    • cancer gene marker
    • gene expression
    • high-content screening
    • microbial quantification
    • mRNA
    • ribosomal RNA
    • siRNA screening
    • transcript analysis

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