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.

  • Letter
  • Published:

Stochastic Model for the Production of Antibody-forming Cells

Abstract

FOR some time it has been thought that the generation of antibody-forming cells (AFC) may involve an interaction between cell types1–3. We present here a stochastic model, based on a two-cell interaction system, for the production of AFC. The assumptions on which the model is based have chiefly come from an interpretation of two types of experimental data, each of which can yield information concerning the number of cells involved. The first is limiting dilution analysis, which is based on the Poisson probability distribution. The second is dose–response analysis, showing the relationship between lymphoid cell dose and the number of AFC generated. These types of experiments involve either the transfer of lymphoid cells to irradiated, compatible recipients or the growth of lymphoid cells in diffusion chamber cultures.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

References

  1. Fishman, M., Nature, 183, 1200 (1959).

    Article  ADS  CAS  Google Scholar 

  2. Mosier, D. E., Science, 158, 1573 (1967).

    Article  ADS  CAS  Google Scholar 

  3. Davies, A. J. S., Leuchars, E., Wallis, V., Marchant, R., and Elliott, E. V., Transplantation, 5, 222 (1967).

    Article  Google Scholar 

  4. Brown, R. A., Makinodan, T., and Albright, J. F., Nature, 210, 1383 (1966).

    Article  ADS  CAS  Google Scholar 

  5. Kennedy, J. C., Till, J. E., Siminovitch, L., and McCulloch, E. A., J. Immunol., 96, 973 (1966).

    CAS  Google Scholar 

  6. Bosma, M. J., Makinodan, T., and Walburg, jun., H. E., J. Immunol., 99, 420 (1967).

    PubMed  CAS  Google Scholar 

  7. Groves, D. L., Fed. Proc., 27, 318 (1968).

    Google Scholar 

  8. Perkins, E. H., Robinson, M. A., and Makinodan, T., J. Immunol., 86, 533 (1961).

    CAS  Google Scholar 

  9. Makela, O., and Mitchison, N. A., Immunology, 8, 539 (1965).

    PubMed  PubMed Central  CAS  Google Scholar 

  10. Santos, G. W., and Owens, jun., A. H., Bull. Johns Hopkins Hosp., 118, 109 (1966).

    Google Scholar 

  11. Albright, J. F., and Makinodan, T., in Molecular and Cellular Basis of Antibody Formation (edit. by Sterzl, J., et al.), 427 (Academic Press, New York, 1965).

    Google Scholar 

  12. Bosma, M. J., Perkins, E. H., and Makinodan, T., J. Immunol., 101, 963 (1968).

    PubMed  CAS  Google Scholar 

  13. Celada, F., J. Exp. Med., 125, 199 (1967).

    Article  CAS  Google Scholar 

  14. Bussard, A. E., and Lurie, M., J. Exp. Med., 125, 873 (1967).

    Article  CAS  Google Scholar 

  15. Gregory, C. J., and Lajtha, L. G., Nature, 218, 1079 (1968).

    Article  ADS  CAS  Google Scholar 

  16. Luzzati, A. L., Tosi, R. M., Carbonara, A. O., and Ceppellini, R., Atti Ass. Genet. Ital., 13, 239 (1968).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

GROVES, D., LEVER, W. & MAKINODAN, T. Stochastic Model for the Production of Antibody-forming Cells. Nature 222, 95–97 (1969). https://doi.org/10.1038/222095a0

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1038/222095a0

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

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