Protein and Nucleic Acid Detection by Rolling Circle Amplification on Gel-based Microarrays

Microarrays are becoming the platform of choice for the analysis of complex genomes, transcriptomes and proteomes. For a number of applications, however, sample or analyte abundance constraints limit the usefulness of microarrays. Rolling circle amplification (RCA) has previously been shown to be a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Biomedical microdevices 2003-06, Vol.5 (2), p.115-123
Hauptverfasser: Nallur, Girish, Marrero, Robert, Luo, Chenghua, R. Murli Krishna, Bechtel, Pamela E, Shao, Weiping, Ray, Melissa, Wiltshire, Steve, Fang, Linhua, Huang, Heshu, Chang-Gong, Liu, Sun, Lei, Sawyer, Jaymie R, Kingsmore, Stephen F, Schweitzer, Barry, Xia, James
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Microarrays are becoming the platform of choice for the analysis of complex genomes, transcriptomes and proteomes. For a number of applications, however, sample or analyte abundance constraints limit the usefulness of microarrays. Rolling circle amplification (RCA) has previously been shown to be a signal amplification method that is useful in these applications on glass microarrays. This report describes use of RCA for multiplexed detection of nucleic acids and proteins on 3-dimensional, porous microarrays (CodeLink(TM)). Assays combined a sandwiched immunoassay with RCA signal amplification of associated haptens, achieving sensitivities of 0.1 pg/ml for IL6, IL8, MIP-1[beta], and EGF. A similar RCA strategy was utilized in a genotyping assay on CodeLink(TM) microarrays that provided three-log enhancement of signal intensity. RCA assays on CodeLink(TM) microarrays were rapid, and utilized low-volumes, suggesting that performance of RCA universal signal amplification on CodeLink(TM) microarrays may find useful applications in multiplexed measurements, rare biomolecule detection, and small sample analysis.
ISSN:1387-2176
1572-8781
DOI:10.1023/A:1024535110995