Skip to main content

Antibody Arrays: Barcode Technology

  • Protocol
  • First Online:
Antibody Arrays

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2237))

Abstract

Antibody microarray is a fundamental, high-content technology for analyzing biomarkers with a multiplexity even at the proteomic level. Recent advancement in this field has driven the antibody array into a new territory related with single-cell analysis. Here we describe a flow pattern-based method for producing a high-density barcode antibody microarray for the detection of proteins in fluidic samples and in single cells. The antibody microarray is fabricated by a perpendicularly oriented flow patterning of single-stranded barcode DNAs, which are then converted into DNA-antibody conjugates. Compared to conventional microarrays, this barcode antibody microarray features a simple and high-throughput assay while achieving both high sensitivity and specificity. This barcode technology provides new clues for developing next-generation antibody microarrays and can be widely used in protein biomarker discovery, cell signaling network analysis, and disease diagnosis and prognosis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Blackstock WP, Weir MP (1999) Proteomics: quantitative and physical mapping of cellular proteins. Trends Biotechnol 17(3):121–127. https://doi.org/10.1016/s0167-7799(98)01245-1

    Article  CAS  Google Scholar 

  2. Hanash S (2003) Disease proteomics. Nature 422(6928):226–232. https://doi.org/10.1038/nature01514

    Article  CAS  PubMed  Google Scholar 

  3. Patterson SD, Aebersold RH (2003) Proteomics: the first decade and beyond. Nat Genet 33:311–323. https://doi.org/10.1038/ng1106

    Article  CAS  PubMed  Google Scholar 

  4. MacBeath G (2002) Protein microarrays and proteomics. Nat Genet 32:526–532. https://doi.org/10.1038/ng1037

    Article  CAS  PubMed  Google Scholar 

  5. Aebersold R, Mann M (2003) Mass spectrometry-based proteomics. Nature 422(6928):198–207. https://doi.org/10.1038/nature01511

    Article  CAS  PubMed  Google Scholar 

  6. Wingren C, Borrebaeck CA (2008) Antibody microarray analysis of directly labelled complex proteomes. Curr Opin Biotechnol 19(1):55–61. https://doi.org/10.1016/j.copbio.2007.11.010

    Article  CAS  PubMed  Google Scholar 

  7. Haab BB (2005) Antibody arrays in cancer research. Mol Cell Proteomics 4(4):377–383. https://doi.org/10.1074/mcp.M500010-MCP200

    Article  CAS  PubMed  Google Scholar 

  8. Ma C, Fan R, Ahmad H, Shi QH, Comin-Anduix B, Chodon T, Koya RC, Liu CC, Kwong GA, Radu CG, Ribas A, Heath JR (2011) A clinical microchip for evaluation of single immune cells reveals high functional heterogeneity in phenotypically similar T cells. Nat Med 17(6):738–U133. https://doi.org/10.1038/nm.2375

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Wang J, Tham D, Wei W, Shin YS, Ma C, Ahmad H, Shi QH, Yu JK, Levine RD, Heath JR (2012) Quantitating cell-cell interaction functions with applications to glioblastoma multiforme cancer cells. Nano Lett 12(12):6101–6106. https://doi.org/10.1021/nl302748q

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Kravchenko-Balasha N, Wang J, Remacle F, Levine RD, Heath JR (2014) Glioblastoma cellular architectures are predicted through the characterization of two-cell interactions. Proc Natl Acad Sci USA 111(17):6521–6526. https://doi.org/10.1073/pnas.1404462111

    Article  CAS  PubMed  Google Scholar 

  11. Ramirez LS, Wang J (2016) Flow-pattern guided fabrication of high-density barcode antibody microarray. J Vis Exp 107:53644. https://doi.org/10.3791/53644

    Article  CAS  Google Scholar 

  12. Bailey RC, Kwong GA, Radu CG, Witte ON, Heath JR (2007) DNA-encoded antibody libraries: a unified platform for multiplexed cell sorting and detection of genes and proteins. J Am Chem Soc 129(7):1959–1967. https://doi.org/10.1021/ja065930i

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

The authors would like to acknowledge the start-up fund from Stony Brook University, State University of New York.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jun Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Science+Business Media, LLC, part of Springer Nature

About this protocol

Check for updates. Verify currency and authenticity via CrossMark

Cite this protocol

Yang, L., Wang, J. (2021). Antibody Arrays: Barcode Technology. In: Whittaker, K.C., Huang, RP. (eds) Antibody Arrays. Methods in Molecular Biology, vol 2237. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1064-0_8

Download citation

  • DOI: https://doi.org/10.1007/978-1-0716-1064-0_8

  • Published:

  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-1063-3

  • Online ISBN: 978-1-0716-1064-0

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics