Biomedical Microdevices

, Volume 5, Issue 2, pp 115–123

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

  • Girish Nallur
  • Robert Marrero
  • Chenghua Luo
  • R. Murli Krishna
  • Pamela E. Bechtel
  • Weiping Shao
  • Melissa Ray
  • Steve Wiltshire
  • Linhua Fang
  • Heshu Huang
  • Chang-Gong Liu
  • Lei Sun
  • Jaymie R. Sawyer
  • Stephen F. Kingsmore
  • Barry Schweitzer
  • James Xia
Article

DOI: 10.1023/A:1024535110995

Cite this article as:
Nallur, G., Marrero, R., Luo, C. et al. Biomedical Microdevices (2003) 5: 115. doi:10.1023/A:1024535110995

Abstract

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™). Assays combined a sandwiched immunoassay with RCA signal amplification of associated haptens, achieving sensitivities of 0.1 pg/ml for IL6, IL8, MIP-1β, and EGF. A similar RCA strategy was utilized in a genotyping assay on CodeLink™ microarrays that provided three-log enhancement of signal intensity. RCA assays on CodeLink™ microarrays were rapid, and utilized low-volumes, suggesting that performance of RCA universal signal amplification on CodeLink™ microarrays may find useful applications in multiplexed measurements, rare biomolecule detection, and small sample analysis.

microarrays signal amplification rolling circle cytokines single nucleotide polymorphism 

Copyright information

© Kluwer Academic Publishers 2003

Authors and Affiliations

  • Girish Nallur
    • 1
  • Robert Marrero
    • 2
  • Chenghua Luo
    • 1
  • R. Murli Krishna
    • 1
  • Pamela E. Bechtel
    • 2
    • 3
  • Weiping Shao
    • 1
  • Melissa Ray
    • 2
    • 4
  • Steve Wiltshire
    • 1
  • Linhua Fang
    • 1
  • Heshu Huang
    • 2
    • 5
  • Chang-Gong Liu
    • 2
    • 5
  • Lei Sun
    • 2
    • 6
  • Jaymie R. Sawyer
    • 2
    • 7
  • Stephen F. Kingsmore
    • 1
  • Barry Schweitzer
    • 1
    • 8
  • James Xia
    • 2
  1. 1.Molecular Staging, Inc.New Haven
  2. 2.Motorola Life SciencesPasadena
  3. 3.IDEC Pharmaceuticals Corp.San Diego
  4. 4.Amersham BiosciencesTempe
  5. 5.Thomas Jefferson UniversityPhiladelphia
  6. 6.Intel BioMEMSSanta Clara
  7. 7.Dyax CorpLa Jolla
  8. 8.ProtometricsGuilford

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