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Antigen receptors are essential components of the immune system crucial in defending the body against foreign invaders. These receptors are present on the surface of B and T cells, enabling them to recognize antigens and mount an appropriate immune response.
Before encountering any antigen, lymphocytes express these receptors. On B cells, the antigen receptor is a membrane-bound antibody molecule called BCR; on T cells, it is a T cell receptor or TCR. B and T cell receptors are composed of two...
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T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing
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TRIP - T cell receptor/immunoglobulin profiler.

Maria Th Kotouza1, Katerina Gemenetzi2, Chrysi Galigalidou2

  • 1Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece.

BMC Bioinformatics
|September 30, 2020
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Summary
This summary is machine-generated.

The T cell Receptor/Immunoglobulin Profiler (TRIP) tool analyzes antigen receptor sequences from next-generation sequencing data. It accurately processes gene rearrangements and somatic hypermutation, offering tailored data analysis and visualization for researchers.

Keywords:
Antigen receptorR shinySoftware pipeline

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Area of Science:

  • Immunoinformatics
  • Computational Biology
  • Genomics

Background:

  • High-throughput immunoprofiling via next-generation sequencing (NGS) presents computational challenges due to extreme antigen receptor diversity.
  • The T cell Receptor/Immunoglobulin Profiler (TRIP) tool processes IMGT/HighV-Quest output for in-depth analysis of antigen receptor gene rearrangements.
  • TRIP provides detailed insights into V(D)J gene usage, CDR3 composition, clonality, and somatic hypermutation in T cell receptors (TR) and B cell receptor immunoglobulins (BcR IG).

Purpose of the Study:

  • To introduce TRIP, a web application for analyzing antigen receptor gene sequence data.
  • To provide a comprehensive framework for data wrangling, cleaning, analysis, and visualization of immunoprofiling data.
  • To offer a customizable pipeline for researchers studying antigen receptor diversity.

Main Methods:

  • TRIP is a web application implemented in R Shiny.
  • It processes output files from the IMGT/HighV-Quest tool.
  • The tool utilizes a modular approach for analyzing V(D)J gene rearrangements and somatic hypermutation.

Main Results:

  • TRIP demonstrated linear response time, processing 1 million sequences in approximately 6 hours for the BcR IG pipeline.
  • Reproducibility tests showed no significant differences compared to a previous pipeline on the Galaxy platform.
  • A stricter preselection process in TRIP filtered out approximately 0.1% more rearrangements without impacting final results.

Conclusions:

  • TRIP is an accurate software framework for analyzing antigen receptor gene sequence data.
  • It offers essential functions for data manipulation, analysis, and visualization.
  • TRIP enables users to construct personalized analytical pipelines and is publicly accessible.