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

3 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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