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

Fingerprint

Microbial Genes
Preclinical Drug Evaluations
Neoplasm Genes
Gene Expression Profiling
Biotechnology
Toxicology
Small Interfering RNA
Biomedical Research
Genome
Technology
Gene Expression
Costs and Cost Analysis
Messenger RNA
Research
Population
Genes

Keywords

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

Cite this

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title = "TRAC in high-content gene expression analysis: Applications in microbial population studies, process biotechnology and biomedical research",
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.",
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TRAC in high-content gene expression analysis : Applications in microbial population studies, process biotechnology and biomedical research. / Rautio, Jari; Satokari, Reetta; Vehmaan-Kreula, P.; Serkkola, E.; Söderlund, Hans.

In: Expert Review of Molecular Diagnostics, Vol. 8, No. 4, 2008, p. 379-385.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - TRAC in high-content gene expression analysis

T2 - Applications in microbial population studies, process biotechnology and biomedical research

AU - Rautio, Jari

AU - Satokari, Reetta

AU - Vehmaan-Kreula, P.

AU - Serkkola, E.

AU - Söderlund, Hans

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - biotechnical process

KW - cancer gene marker

KW - gene expression

KW - high-content screening

KW - microbial quantification

KW - mRNA

KW - ribosomal RNA

KW - siRNA screening

KW - transcript analysis

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