TRAC in high-content gene expression analysis: applications in microbial population studies, process biotechnology and biomedical research.
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.
Rautio
Jari J
JJ
PlexPress Oy, Viikinkaari 6, 00790 Helsinki, Finland. jari.rautio@plexpress.fi
Satokari
Reetta
R
Vehmaan-Kreula
Pirjo
P
Serkkola
Elina
E
Söderlund
Hans
H
D000818:Animals; D015373:Bacterial Typing Techniques / Q000379:methods*; D035843:Biomedical Research / Q000379:methods; D001709:Biotechnology / Q000379:methods; D020224:Expressed Sequence Tags; D015964:Gene Expression Regulation, Bacterial; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D009369:Neoplasms; D009693:Nucleic Acid Hybridization / Q000379:methods; D012329:RNA, Bacterial / Q000032:analysis*; D012333:RNA, Messenger / Q000032:analysis*; D012334:RNA, Neoplasm / Q000032:analysis*; D012680:Sensitivity and Specificity
D012329:RNA, Bacterial; D012333:RNA, Messenger; D012334:RNA, Neoplasm