Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

A model for harmonizing flow cytometry in clinical trials

A Corrigendum to this article was published on 15 February 2011

This article has been updated

Complexities in sample handling, instrument setup and data analysis are barriers to the effective use of flow cytometry to monitor immunological parameters in clinical trials. The novel use of a central laboratory may help mitigate these issues.

Access options

Rent or Buy article

Get time limited or full article access on ReadCube.

from$8.99

All prices are NET prices.

Figure 1
Figure 2

Change history

  • 12 November 2010

    In the version of this article initially published, a group of author names and their affiliation in the FOCIS Human Immunophenotyping Consortium was incorrect. The correct names and affiliation are as follows: Paola Di Meglio, Frank O. Nestle, Mark Peakman and Federica Villanova are at King's College London, London, UK. The error has been corrected in the HTML and PDF versions of the article.

References

  1. 1

    Maecker, H.T. et al. BMC Immunol. 6, 13 (2005).

    Article  Google Scholar 

  2. 2

    Perfetto, S.P., Chattopadhyay, P.K. & Roederer, M. Nat. Rev. Immunol. 4, 648–655 (2004).

    CAS  Article  Google Scholar 

  3. 3

    Maecker, H.T. Methods Mol. Biol. 485, 375–391 (2009).

    CAS  Article  Google Scholar 

  4. 4

    Suni, M.A. et al. BMC Immunol. 4, 9 (2003).

    Article  Google Scholar 

  5. 5

    Davis, M.M. Immunity 29, 835–838 (2008).

    CAS  Article  Google Scholar 

  6. 6

    Levi, F.A., Canon, C., Touitou, Y., Reinberg, A. & Mathe, G. J. Clin. Invest. 81, 407–413 (1988).

    CAS  Article  Google Scholar 

  7. 7

    Arjona, A. & Sarkar, D.K. Brain Behav. Immun. 20, 469–476 (2006).

    CAS  Article  Google Scholar 

  8. 8

    Bollinger, T. et al. Clin. Exp. Immunol. 155, 231–238 (2009).

    CAS  Article  Google Scholar 

  9. 9

    Dimitrov, S., Lange, T., Tieken, S., Fehm, H.L. & Born, J. Brain Behav. Immun. 18, 341–348 (2004).

    CAS  Article  Google Scholar 

  10. 10

    Shalekoff, S., Page-Shipp, L. & Tiemessen, C.T. Clin. Diagn. Lab. Immunol. 5, 695–702 (1998).

    CAS  PubMed  PubMed Central  Google Scholar 

  11. 11

    Weinberg, A., Betensky, R.A., Zhang, L. & Ray, G. Clin. Diagn. Lab. Immunol. 5, 804–807 (1998).

    CAS  PubMed  PubMed Central  Google Scholar 

  12. 12

    Kumar, P. & Satchidanandam, V. Clin. Diagn. Lab. Immunol. 7, 578–583 (2000).

    CAS  PubMed  PubMed Central  Google Scholar 

  13. 13

    Hodge, G.L., Flower, R. & Han, P. J. Immunol. Methods 225, 27–38 (1999).

    CAS  Article  Google Scholar 

  14. 14

    Renzi, P. & Ginns, L.C. J. Immunol. Methods 98, 53–56 (1987).

    CAS  Article  Google Scholar 

  15. 15

    Appay, V. et al. J. Immunol. Methods 309, 192–199 (2006).

    CAS  Article  Google Scholar 

  16. 16

    Hoffmeister, B., Bunde, T., Rudawsky, I.M., Volk, H.D. & Kern, F. Eur. J. Immunol. 33, 3484–3492 (2003).

    CAS  Article  Google Scholar 

  17. 17

    Romeu, M.A. et al. J. Immunol. Methods 154, 7–10 (1992).

    CAS  Article  Google Scholar 

  18. 18

    Seale, A.C. et al. J. Clin. Lab. Anal. 22, 153–158 (2008).

    Article  Google Scholar 

  19. 19

    Weinberg, A. et al. Clin Vaccine Immunol 16, 1176–1186 (2009).

    CAS  Article  Google Scholar 

  20. 20

    Maecker, H.T., Frey, T., Nomura, L.E. & Trotter, J. Cytometry A 62, 169–173 (2004).

    Article  Google Scholar 

  21. 21

    Perfetto, S.P. & Roederer, M. Cytometry A 71, 73–79 (2007).

    Article  Google Scholar 

  22. 22

    Roederer, M. Cytometry 45, 194–205 (2001).

    CAS  Article  Google Scholar 

  23. 23

    Maecker, H.T. & Trotter, J. Cytometry A 69, 1037–1042 (2006).

    Article  Google Scholar 

  24. 24

    Wang, L., Gaigalas, A.K., Marti, G., Abbasi, F. & Hoffman, R.A. Cytometry A 73, 279–288 (2008).

    Article  Google Scholar 

  25. 25

    Lee, J.A. et al. Cytometry A 73, 926–930 (2008).

    Article  Google Scholar 

  26. 26

    Janetzki, S. et al. Immunity 31, 527–528 (2009).

    CAS  Article  Google Scholar 

Download references

Author information

Affiliations

Authors

Consortia

Corresponding author

Correspondence to Holden T Maecker.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Maecker, H., McCoy, J., the FOCIS Human Immunophenotyping Consortium. et al. A model for harmonizing flow cytometry in clinical trials. Nat Immunol 11, 975–978 (2010). https://doi.org/10.1038/ni1110-975

Download citation

Further reading

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing