Clustering based approach for population level identification of condition-associated T-cell receptor β-chain CDR3 sequences.

ABSTRACT:

Background

Deep immune receptor sequencing, RepSeq, provides unprecedented opportunities for identifying and studying condition-associated T-cell clonotypes, represented by T-cell receptor (TCR) CDR3 sequences. However, due to the immense diversity of the immune repertoire, identification of condition relevant TCR CDR3s from total repertoires has mostly been limited to either "public" CDR3 sequences or to comparisons of CDR3 frequencies observed in a single individual. A methodology for the identification of condition-associated TCR CDR3s by direct population level comparison of RepSeq samples is currently lacking.

Results

We present a method for direct population level comparison of RepSeq samples using immune repertoire sub-units (or sub-repertoires) that are shared across

SUBMITTER: Yohannes DA 

PROVIDER: S-EPMC7993519 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature