IMMUNOLOGY2026™ Conference Recordings For Attendees-Introduction to the immgenT Project

Video Transcription

Video Summary

The speaker introduced Imgen-T, a large open-source consortium project to profile mouse T cells across tissues and disease states using single-cell RNA-seq, CITE-seq, and TCR sequencing. The dataset includes about 700,000 cells from 734 samples, covering 46 tissues and 57 immune perturbations. A major goal was to create a standardized “T-cell cosmology” that harmonizes T-cell nomenclature across studies and maps external datasets onto a common reference.<br /><br />They described eight major T-cell lineages, public resources like the Rosetta website, and an integration tool called TRBI for mapping new datasets. The speaker argued the T-cell space appears largely saturated and that most known T-cell diversity has now been captured.<br /><br />The CD4 section showed that classic Th1/Th2/Th17/Tfh states are best understood as gene programs rather than rigid cell types, with much of the heterogeneity concentrated in intermediate “midland” states. The talk ended by highlighting practical flow cytometry panels and other tools for the community.

Meta Tag

Date April 16, 2026 3:30 PM - 4:00 PM

Room 151

Session Resource Highlight: immgenT: A Community Reference Atlas for Mouse T Cells

Speaker David Zemmour

Track Computational and Systems Immunology (COMP)

Year 2026

Keywords

Imgen-T

mouse T cells

single-cell RNA-seq

T-cell cosmology

TCR sequencing

CD4 T-cell states

April 16, 2026 3:30 PM - 4:00 PM

151

Resource Highlight: immgenT: A Community Reference Atlas for Mouse T Cells

David Zemmour

Computational and Systems Immunology (COMP)

2026