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Statistical analysis of antigen receptor spectratype data.

Publication ,  Journal Article
Kepler, TB; He, M; Tomfohr, JK; Devlin, BH; Sarzotti, M; Markert, ML
Published in: Bioinformatics
August 15, 2005

MOTIVATION: The effectiveness of vertebrate adaptive immunity depends crucially on the establishment and maintenance of extreme diversity in the antigen receptor repertoire. Spectratype analysis is a method used in clinical and basic immunological settings in which antigen receptor length diversity is assessed as a surrogate for functional diversity. The purpose of this paper is to describe the systematic derivation and application of statistical methods for the analysis of spectratype data. RESULTS: The basic probability model used for spectratype analysis is the multinomial model with n, the total number of counts, indeterminate. We derive the appropriate statistics and statistical procedures for testing hypotheses regarding differences in antigen receptor distributions and variable repertoire diversity in different treatment groups. We then apply these methods to spectratype data obtained from several healthy donors to examine the differences between normal CD4+ and CD8+ T cell repertoires, and to data from a thymus transplant patient to examine the development of repertoire diversity following the transplant.

Duke Scholars

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Published In

Bioinformatics

DOI

ISSN

1367-4803

Publication Date

August 15, 2005

Volume

21

Issue

16

Start / End Page

3394 / 3400

Location

England

Related Subject Headings

  • Receptors, Antigen, T-Cell
  • Models, Statistical
  • Models, Immunological
  • Models, Genetic
  • Immunoassay
  • Genetic Variation
  • Bioinformatics
  • Algorithms
  • 49 Mathematical sciences
  • 46 Information and computing sciences
 

Citation

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Kepler, T. B., He, M., Tomfohr, J. K., Devlin, B. H., Sarzotti, M., & Markert, M. L. (2005). Statistical analysis of antigen receptor spectratype data. Bioinformatics, 21(16), 3394–3400. https://doi.org/10.1093/bioinformatics/bti539
Kepler, Thomas B., Min He, John K. Tomfohr, Blythe H. Devlin, Marcella Sarzotti, and M Louise Markert. “Statistical analysis of antigen receptor spectratype data.Bioinformatics 21, no. 16 (August 15, 2005): 3394–3400. https://doi.org/10.1093/bioinformatics/bti539.
Kepler TB, He M, Tomfohr JK, Devlin BH, Sarzotti M, Markert ML. Statistical analysis of antigen receptor spectratype data. Bioinformatics. 2005 Aug 15;21(16):3394–400.
Kepler, Thomas B., et al. “Statistical analysis of antigen receptor spectratype data.Bioinformatics, vol. 21, no. 16, Aug. 2005, pp. 3394–400. Pubmed, doi:10.1093/bioinformatics/bti539.
Kepler TB, He M, Tomfohr JK, Devlin BH, Sarzotti M, Markert ML. Statistical analysis of antigen receptor spectratype data. Bioinformatics. 2005 Aug 15;21(16):3394–3400.
Journal cover image

Published In

Bioinformatics

DOI

ISSN

1367-4803

Publication Date

August 15, 2005

Volume

21

Issue

16

Start / End Page

3394 / 3400

Location

England

Related Subject Headings

  • Receptors, Antigen, T-Cell
  • Models, Statistical
  • Models, Immunological
  • Models, Genetic
  • Immunoassay
  • Genetic Variation
  • Bioinformatics
  • Algorithms
  • 49 Mathematical sciences
  • 46 Information and computing sciences