Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Aug 29, 2025

Measurement of T Cell Alloreactivity Using Imaging Flow Cytometry
09:04

Measurement of T Cell Alloreactivity Using Imaging Flow Cytometry

Published on: April 19, 2017

13.6K

Multimodal T Cell Analysis with CoNGA.

Stefan A Schattgen1, William D Hazelton2, Paul G Thomas3,4

  • 1Department of Immunology, St Jude Children's Research Hospital, Memphis, TN, USA.

Methods in Molecular Biology (Clifton, N.J.)
|September 10, 2022
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Endometrial thickness in patients with postmenopausal bleeding and endometrial cancer: A retrospective cohort study.

Gynecologic oncology reports·2026
Same author

HLHRUXO: A prospective trial of a ruxolitinib-containing regimen for children with hemophagocytic lymphohistiocytosis.

Blood advances·2026
Same author

IL4i1 activity generates oncometabolites that rescue neuroblastoma cells from oxidative death.

Cell reports·2026
Same author

Highly focused human CD8+ T-cell response in the lower airways during acute influenza infection.

Journal of immunology (Baltimore, Md. : 1950)·2026
Same author

Rational engineering of the P5 TRS-mimic site and REP78/68 start codon yields promoter variants that improve rAAV purity while maintaining high titers.

Molecular therapy. Advances·2026
Same author

One-step generation of T-cell receptor knock-in mice in the TCRβ locus.

The EMBO journal·2026
Same journal

Nanotechnology-Stem Cell Strategies in 3D Glioblastoma Organoid: Targeting Glioma Stem Cells Within a Complex Tumor Microenvironment.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Mapping the 3D Chromosome Organization of a Biosynthetic Gene Cluster by Capture Hi-C (CHi-C).

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Mapping the 3D Chromosome Organization of Streptomyces by Hi-C.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

CUT&Tag Epigenomic Profiling of Biosynthetic Gene Clusters in Arabidopsis thaliana.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Rhizobium rhizogenes-Mediated Hairy Root Transformation Protocol for Lotus japonicus and Other Legumes.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Characterization of Bioactive Saponins from Sea Cucumbers.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles
This summary is machine-generated.

CoNGA software analyzes single-cell data, linking immune receptor sequences to gene expression. This tool enhances understanding of T cell responses by identifying sequence convergence and database matches.

Area of Science:

  • Immunology
  • Bioinformatics
  • Computational Biology

Background:

  • Single-cell technologies enable simultaneous measurement of immune receptor sequences and gene expression.
  • Understanding the link between adaptive immune receptor sequence and transcriptional profiles is crucial for immunology research.
  • CoNGA is a recently developed software tool designed to detect correlations between these two data types.

Purpose of the Study:

  • To provide a detailed workflow for applying the CoNGA software to analyze large, diverse T cell datasets.
  • To illustrate novel analysis modes within CoNGA for T cell receptor (TCR) sequence analysis.
  • To demonstrate CoNGA's utility in processing complex datasets, including multiple donors and batch information.

Main Methods:

  • Application of the CoNGA software tool to a large T cell dataset.
Keywords:
CoNGAGene expressionTCRTCR convergence

More Related Videos

Analysis of Human T Cell Activity in an Allogeneic Co-Culture Setting of Pre-Treated Tumor Cells
09:04

Analysis of Human T Cell Activity in an Allogeneic Co-Culture Setting of Pre-Treated Tumor Cells

Published on: March 7, 2025

641
Analysis of T-cell Receptor-Induced Calcium Influx in Primary Murine T-cells by Full Spectrum Flow Cytometry
10:01

Analysis of T-cell Receptor-Induced Calcium Influx in Primary Murine T-cells by Full Spectrum Flow Cytometry

Published on: December 16, 2022

4.2K

Related Experiment Videos

Last Updated: Aug 29, 2025

Measurement of T Cell Alloreactivity Using Imaging Flow Cytometry
09:04

Measurement of T Cell Alloreactivity Using Imaging Flow Cytometry

Published on: April 19, 2017

13.6K
Analysis of Human T Cell Activity in an Allogeneic Co-Culture Setting of Pre-Treated Tumor Cells
09:04

Analysis of Human T Cell Activity in an Allogeneic Co-Culture Setting of Pre-Treated Tumor Cells

Published on: March 7, 2025

641
Analysis of T-cell Receptor-Induced Calcium Influx in Primary Murine T-cells by Full Spectrum Flow Cytometry
10:01

Analysis of T-cell Receptor-Induced Calcium Influx in Primary Murine T-cells by Full Spectrum Flow Cytometry

Published on: December 16, 2022

4.2K
  • Utilizing CoNGA for sequence convergence analysis into similarity clusters.
  • Employing CoNGA for matching TCR sequences against literature-derived databases.
  • Processing of gamma-delta T cell data using the CoNGA workflow.

    • Main Results:

    • Demonstration of CoNGA's capability to analyze complex, multi-donor T cell datasets with batch annotations.
    • Successful implementation of new analysis modes for TCR sequence similarity clustering.
    • Validation of CoNGA's ability to identify matches to external TCR sequence databases.
    • Effective processing of diverse T cell populations, including gamma-delta T cells.

    Conclusions:

    • The CoNGA software provides a robust framework for analyzing the relationship between immune receptor sequence and transcriptional profiles in large-scale single-cell experiments.
    • The described workflow enables novel insights into TCR sequence convergence and facilitates comparison with existing immunological data.
    • CoNGA is a versatile tool applicable to diverse T cell populations and complex experimental designs, advancing the field of single-cell immunology.