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Label-Free Detection with Surface Plasmon Resonance Imaging

  • Christopher LaustedEmail author
  • Zhiyuan Hu
  • Leroy Hood
Protocol
Part of the Methods in Molecular Biology book series (MIMB, volume 723)

Abstract

Sensors based on surface plasmon resonance have demonstrated, over the last 2 decades, to be an effective method of studying biomolecular interactions without the need for labeling. Recently, it has been adapted to high-throughput use for imaging microarray binding in real time. This provides a promising platform – a label-free protein microarray system – for the study of disease. In this example, antibody microarrays are used to efficiently profile the secretion of proteins from a cell line exposed to varying concentrations of a toxic compound.

Key words

Surface plasmon resonance Label-free microarray Molecular interactions Protein binding Protein profiling Kinetics analysis Affinity Refractometry 

References

  1. 1.
    Smith EA, Wanat MJ, Cheng Y, Barreira SVP, Frutos AG, Corn RM (2001) Formation, spectroscopic characterization, and application of sulfhydryl-terminated alkanethiol monolayers for the chemical attachment of DNA onto gold surfaces. Langmuir 17(8):2502–2507CrossRefGoogle Scholar
  2. 2.
    Shumaker-Parry JS, Aebersold R, Campbell CT (2004) Parallel, quantitative measurement of protein binding to a 120-element double-stranded DNA array in real time using surface plasmon resonance microscopy. Anal Chem 76(7):2071–2082PubMedCrossRefGoogle Scholar
  3. 3.
    Kyo M, Usui-Aoki K, Koga H (2005) Label-free detection of proteins in crude cell lysate with antibody arrays by a surface plasmon resonance imaging technique. Anal Chem 77(22):7115–7121PubMedCrossRefGoogle Scholar
  4. 4.
    Usui-Aoki K, Shimada K, Nagano M, Kawai M, Koga H (2005) A novel approach to protein expression profiling using antibody microarrays combined with surface plasmon resonance technology. Proteomics 5(9):2396–2401PubMedCrossRefGoogle Scholar
  5. 5.
    Lausted C, Hu Z, Hood L (2008) Quantitative serum proteomics from surface plasmon resonance imaging. Mol Cell Proteomics 7(12):2464–2474PubMedCrossRefGoogle Scholar
  6. 6.
    de Boer A, Hokke C, Deelder A, Wuhrer M (2008) Serum antibody screening by surface plasmon resonance using a natural glycan microarray. Glycoconj J 25(1):75–84PubMedCrossRefGoogle Scholar
  7. 7.
    Lokate AMC, Beusink JB, Besselink GAJ, Pruijn GJM, Schasfoort RBM (2007) Biomolecular Interaction Monitoring of Autoantibodies by Scanning Surface Plasmon Resonance Microarray Imaging. J Am Chem Soc 129(45):14013–14018PubMedCrossRefGoogle Scholar
  8. 8.
    Karamanska R, Clarke J, Blixt O, MacRae J, Zhang J, Crocker P, Laurent N, Wright A, Flitsch S, Russell D, Field R (2008) Surface plasmon resonance imaging for real-time, label-free analysis of protein interactions with carbohydrate microarrays. Glycoconj J 25(1):69–74PubMedCrossRefGoogle Scholar
  9. 9.
    Wassaf D, Kuang G, Kopacz K, Wu Q-L, Nguyen Q, Toews M, Cosic J, Jacques J, Wiltshire S, Lambert J, Pazmany CC, Hogan S, Ladner RC, Nixon AE, Sexton DJ (2006) High-throughput affinity ranking of antibodies using surface plasmon resonance microarrays. Anal Biochem 351(2):241–253PubMedCrossRefGoogle Scholar
  10. 10.
    Peelen D, Kodoyianni V, Lee J, Zheng T, Shortreed MR, Smith LM (2006) Specific Capture of Mammalian Cells by Cell Surface Receptor Binding to Ligand Immobilized on Gold Thin Films. J Proteome Res 5(7):1580–1585PubMedCrossRefGoogle Scholar
  11. 11.
    Suraniti E, Sollier E, Calemczuk R, Livache T, Marche PN, Villiers MB, Roupioz Y (2007) Real-time detection of lymphocytes binding on an antibody chip using SPR imaging. Lab Chip 7(9):1206–1208PubMedCrossRefGoogle Scholar
  12. 12.
    Masubuchi Y (2006) Metabolic and non-metabolic factors determining troglitazone hepatotoxicity: a review. Drug Metab Pharmacokinet 21(5):347–356PubMedCrossRefGoogle Scholar
  13. 13.
    Myszka DG, Morton TA (1998) CLAMP: a biosensor kinetic data analysis program. Trends Biochem Sci 23(4):149–150PubMedCrossRefGoogle Scholar
  14. 14.
    Dudoit S, Gentleman RC, Quackenbush J (2003) Open source software for the analysis of microarray data. Biotechniques Suppl 45–51Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Institute for Systems BiologySeattleUSA

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