A new statistical method for quantitative analyses: application to the precise quantification of T cell receptor...

Area of Science:

• Immunology
• Statistical analysis
• Computational biology

Background:

• Quantitative analysis of immune receptor repertoire is challenging due to a high number of potential events and low individual event probability.
• Existing methods for measuring T cell receptor (TCR) complementarity determining region 3 (CDR3) length variability in splenocytes yield inconsistent profiles.

Purpose of the Study:

• To introduce a novel statistical method, the Continuous Poisson Method (COPOM), for accurately estimating the number of underlying events in quantitative measurements.
• To apply COPOM for precise quantification of lymphocytes expressing specific antigen receptors within a diverse cell population.

Main Methods:

• Development and application of the Continuous Poisson Method (COPOM) for analyzing quantitative biological data.
• Utilizing Immunoscope for T cell receptor (TCR) complementarity determining region 3 (CDR3) length measurements on independent splenocyte samples.
• Comparative analysis of COPOM against existing methods for determining splenocyte frequency.

Main Results:

• COPOM effectively quantifies lymphocytes expressing specific antigen receptors by analyzing variability in TCR CDR3 length measurements.
• The method demonstrates high sensitivity, quantifying single cells within large lymphocyte pools (5 x 10^4).
• COPOM covers a 100-fold variation in event frequency with a single dilution, showing accuracy and convenience compared to other approaches.

Conclusions:

• The Continuous Poisson Method (COPOM) offers a precise and straightforward technique for measuring antigen receptor repertoire diversity in complex cell populations.
• COPOM provides accurate quantification of rare immune events, overcoming limitations of previous methods.
• This method enhances the ability to study immune cell populations and their responses.