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Related Experiment Video

Updated: Apr 29, 2026

Non-Viral Engineering of Primary Human T Cells via Homology-Mediated End-Joining Targeted Integration of Large DNA Templates

Non-Viral Engineering of Primary Human T Cells via Homology-Mediated End-Joining Targeted Integration of Large DNA Templates

Published on: May 9, 2025

Decoding Human T Cell Immunity with Artificial Intelligence and Single-Cell Genomics.

Lisa M Dratva^1,2, Sarah A Teichmann^1,2,3, Lorenz Kretschmer^1,2

¹Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, United Kingdom ; email: sat1003@cam.ac.uk, lk530@cam.ac.uk.

Annual Review of Immunology

|April 27, 2026

Summary

This summary is machine-generated.

Single-cell genomics and AI are revolutionizing T cell research. These technologies help map T cell receptor (TCR) sequences to antigen specificity, improving our understanding of T cell function in human diseases.

Keywords:

T cell receptor TCR repertoire analysis adaptive immunity antigen specificity prediction artificial intelligence human T cell responses single-cell genomics

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Area of Science:

Immunology
Genomics
Bioinformatics

Background:

T cells are crucial for adaptive immunity but their complexity hinders disease research.
Understanding T cell receptor (TCR) diversity and function is vital for human disease insights.

Purpose of the Study:

To review technological advancements in T cell research.
To explore AI and single-cell genomics for T cell heterogeneity and antigen specificity.
To address challenges and propose future strategies in T cell discovery.

Main Methods:

Summarizing innovations in experimental T cell profiling.
Highlighting machine learning for TCR-peptide-MHC (pMHC) interaction prediction.
Discussing deep learning for structural modeling.

Main Results:

Single-cell genomics and TCR sequencing offer new ways to study T cell heterogeneity.
AI tools can predict TCR-pMHC interactions and map antigen specificity.
Technological integration aids in understanding T cell roles in disease.

Conclusions:

AI and single-cell genomics are key to dissecting T cell heterogeneity.
Mapping TCR sequence to pMHC specificity is becoming feasible.
Interpreting these features in clinical contexts will advance T cell research.