Enhancing Comparative T Cell Receptor Repertoire Analysis in Small Biological Samples Through Pooling Homologous Cell Samples from Multiple Mice

CELL REPORTS METHODS(2024)

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Abstract
Accurate characterization and comparison of T cell receptor (TCR) repertoires from small biological samples present significant challenges. The main challenge is the low material input, which compromises the quality of bulk sequencing and hinders the recovery of sufficient TCR sequences for robust analyses. We aimed to address this limitation by implementing a strategic approach to pool homologous biological samples. Our findings demonstrate that such pooling indeed enhances the TCR repertoire coverage, particularly for cell subsets of constrained sizes, and enables accurate comparisons of TCR repertoires at different levels of complexity across T cell subsets with different sizes. This methodology holds promise for advancing our understanding of T cell repertoires in scenarios where sample size constraints are a prevailing concern.
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Key words
adaptive immune receptor repertoire sequencing,statistical modeling,next-generation sequencing,sampling,mouse,T cell receptor,diversity,reproducibility,repertoire coverage
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