Quantifying Distribution of Flow Cytometric TCR-Vβ Usage with Economic Statistics

Area of Science:

• Immunology
• Medical Statistics

Background:

• T cell receptor (TCR) repertoire analysis is crucial in medicine.
• Flow cytometry provides TCR-Vβ usage data but interpretation is challenging.
• Subtle TCR repertoire shifts can be missed with current methods.

Purpose of the Study:

• To introduce a novel method for analyzing flow cytometry data on TCR-Vβ usage.
• To develop a sensitive index for tracking TCR repertoire changes.
• To improve understanding of TCR repertoire in health and disease.

Main Methods:

• Applied economic statistics to flow cytometry data.
• Calculated the Gini-TCR skewing index.
• Utilized the index to measure TCR-Vβ distribution among T cells.

Main Results:

• The Gini-TCR skewing index directly measures TCR-Vβ distribution.
• This index allows tracking of subtle TCR repertoire changes.
• The method proved effective for distinct T cell populations.

Conclusions:

• The Gini-TCR skewing index offers a novel approach to TCR repertoire analysis.
• This method enhances the interpretation of flow cytometry data.
• It will aid in understanding the TCR repertoire in various medical conditions.