Skip to main content

Use of the CellCard™ System for Analyzing Multiple Cell Types in Parallel

  • Protocol
High Content Screening

Part of the book series: Methods in Molecular Biology ((MIMB,volume 356))

  • 1958 Accesses

Abstract

The CellCard™ system enables the analysis of multiple cell types within a single microtiter well. In doing so, the CellCard system not only determines the effect of an experimental condition on a cell type of interest, but also the relative selectivity of that response across nine other cell types. In addition, this approach of cellular multiplexing is a means of miniaturization without the necessity of microfluidic devices. The standard 96-well plate generates ten 96-well plates of data (or, the equivalent of a 960-well plate). Taken together, the CellCard technology enables multiple cell types to be assayed within a single microtiter well allowing for the simultaneous determination of cellular activity and compound selectivity. This chapter will describe a method by which multiple cell types can be simultaneously assayed for biological parameters of interest.

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

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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

References

  1. Abraham, V. C., Taylor, D. L., Haskins, J. R. (2004) High content screening applied to large-scale cell biology. Trends Biotechnol. 22(1), 15–22.

    Article  CAS  Google Scholar 

  2. Giuliano, K. A., Haskins, J. R., Taylor, D. L. (2003) Advances in high content screening for drug discovery. Assay Drug Dev. Technol. 1(4), 565–577.

    Article  CAS  Google Scholar 

  3. Liptrot, C. (2001) High content screening—from cells to data to knowledge. Drug Discov. Today 6(16), 832–834.

    Article  Google Scholar 

  4. Arnould, R., Dubois, J., Abikhalil, F., et al. (1990) Comparison of two cytotoxicity assays—tetrazolium derivative reduction (MTT) and tritiated thymidine uptake—on three malignant mouse cell lines using chemotherapeutic agents and investigational drugs. Anticancer Res. 10(1), 145–154.

    CAS  Google Scholar 

  5. Rausch, O. (2005) Use of high content analysis for compound screening and target selection. IDrugs 8(7), 573–577.

    CAS  Google Scholar 

  6. Perlman, Z. E., Mitchison, T. J., Mayer, T. U. (2005) High content screening and profiling of drug activity in an automated centrosome-duplication assay. Chembiochem. 6(2), 218.

    Article  Google Scholar 

  7. Borchert, K. M., Galvin, R. J., Frolik, C. A. (2005) High content screening assay for activators of the Wnt/Fzd pathway in primary human cells. Assay Drug Dev. Technol. 3(2), 133–141.

    Article  CAS  Google Scholar 

  8. Vogt, A., Cooley, K. A., Brisson, M., Tarpley, M. G., Wipf, P., and Lazo, J. S. (2003) Cell-active dual specificity phosphatase inhibitors identified by high content screening. Chem. Biol. 10(8), 733–742.

    Article  CAS  Google Scholar 

  9. Beske, O., Guo, J., Li, J., et al. (2004) A novel encoded particle technology that enables simultaneous interrogation of multiple cell types. J. Biomol. Screen 9(3), 173–185.

    Article  CAS  Google Scholar 

  10. Beske, O. A. G. (2002) High-thgoughput cell analysis using multiplexed array technologies. Drug Discov. Today 7(18), S131–S135.

    Article  CAS  Google Scholar 

  11. Beske, O., Goldbard, S., and Turpin, P. (2005) The CellCard System; a novel approach to assessing compound selectivity for lead prioritization. Combinatorial Chemistry High-Throughput Screen 8(4), 293–299.

    Article  CAS  Google Scholar 

  12. Borchert, K. M., Galvin, R. J., Frolik, C. A., et al. (2005) High content screening assay for activators of the Wnt/Fzd pathway in primary human cells. Assay Drug Dev. Technol. 3(2), 133–141.

    Article  CAS  Google Scholar 

  13. Di Nicolantonio, F., Knight, L. A., Whitehouse, P. A., et al. (2004). The ex vivo characterization of XR5944 (MLN944) against a panel of human clinical tumor samples. Mol. Cancer Ther. 3(12), 1631–1637.

    Google Scholar 

  14. Terashima, M., Hayashi, K., Fukushima, M., et al. (1996). Drug sensitivity testing for clinical samples from oesophageal cancer using adhesive tumour cell culture system. Br. J. Cancer 74(1), 73–77.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Humana Press, Inc.

About this protocol

Cite this protocol

Beske, O., Bassoni, D., Goldbard, S. (2007). Use of the CellCard™ System for Analyzing Multiple Cell Types in Parallel. In: Taylor, D.L., Haskins, J.R., Giuliano, K.A. (eds) High Content Screening. Methods in Molecular Biology, vol 356. Humana Press. https://doi.org/10.1385/1-59745-217-3:129

Download citation

  • DOI: https://doi.org/10.1385/1-59745-217-3:129

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-58829-731-0

  • Online ISBN: 978-1-59745-217-5

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics