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

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

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 condit...

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Bibliographic Details
Main Authors: Greco, D. (Author), Kaukinen, K. (Author), Kurppa, K. (Author), Saavalainen, P. (Author), Yohannes, D.A (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Amino acid usages
Antigen-specific TCR identification
Celiac disease
Celiac disease associated TCR clonotypes
Cell membranes
cluster analysis
Cluster Analysis
Computational antigen-specificity identification
genetics
human
Humans
Immune receptors
Immune repertoire analysis
Immuno-informatics
lymphocyte antigen receptor
Population levels
Receptors, Antigen, T-Cell
Receptors, Antigen, T-Cell, alpha-beta
Sub-units
T cell receptor
T lymphocyte
T-cell receptors
T-cells
TCR clustering
TCR differential abudance analysis
TCR repertoire analysis
T-Lymphocytes
Unsupervised clustering
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