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Transcription factor collaboration enables precise T cell state engineering
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Transcription factor collaboration enables precise T cell state engineering

Rachel E. Savage, Christian D. McRoberts Amador, Conrad T. Hock +6 more
April 2026
 ·
bioRxiv
 ·
DOI 
10.64898/2026.04.20.718569
94
%
Reproducible
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It ranks in the top 1% of preprints assessed in Genomics this quarter.
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Why this is interesting

This work establishes that CD8+ T cell identity is governed by composite transcription factor interactions rather than individual regulators, and demonstrates that synthetically tethering RUNX2 to KLF2 overrides exhaustion—unlocking rational cell state engineering for immunotherapy.

QED claims analysis

Summary

Systematic perturbation screening and multimodal single-cell profiling reveal that RUNX functions as a master collaborator in CD8+ T cells, with RUNX2:KLF2 cooperative binding at composite DNA motifs specifically controlling exhaustion programs through direct protein-protein interactions that can be synthetically enhanced by molecular tethering to amplify therapeutic reprogramming of T cell states.

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Main Claim 1 –

Overexpression screen finds 87 exhaustion-specific TOX-regulating transcription factors

Main Claim 2 –

Perturb-SHARE-seq jointly profiles perturbations, ATAC, and RNA in 702,314 cells

Supporting evidence

  • Perturb-SHARE-seq detects motif-specific accessibility changes for 33 TFs
  • TF perturbations map 12,616 TF–program connections across CD8+ states
  • Memory-like RNA program 1 predicts positive CAR-T response
  • KLF2 upregulates RNA program 1 and boosts exhausted T-cell effector function
  • KLF2 represses precursor-exhaustion-associated ATAC programs 8 and 9
Main Claim 3 –

Seq2PRINT identifies 289 motifs; composite motifs are more state-specific

Main Claim 4 –

RUNX is a master collaborator enriched across composite motifs

Supporting evidence

  • RUNX:KLF motifs are terminal-exhaustion-specific and recur at the TOX locus
  • RUNX:KLF composite sites control TOX more strongly than monomers

Abstract

Transcription factors (TFs) collaborate to regulate gene expression programs that define cell fate. In CD8+ T cells, this coordinated regulation underlies exhaustion, a dysfunctional state that constrains immunity in chronic infection and cancer. Here, we screen for cell state-specific TFs by performing pooled overexpression screens of 3,548 TF and TF isoforms in primary T cells across multiple CD8+ T cell states. We identify 82 regulators that collaborate with exhaustion-specific programs and profile their effects using perturb-SHARE-seq, connecting perturbations to changes in chromatin accessibility and gene expression across 702,314 single cells. We identify 38 reproducible regulatory programs and construct a map of 12,616 TF-program connections that shape CD8+ T cell states, nominating KLF2 as predictive of positive response to CAR-T therapy. Using seq2PRINT, a deep learning framework that predicts functional TF interactions, we identify RUNX as a “master collaborator”, a TF that broadly collaborates with other factors, and uncover a RUNX2:KLF2 interaction that specifies exhaustion-associated programs. Mutation of the RUNX2:KLF2 protein interface attenuates KLF2-mediated repression of exhaustion, while synthetic tethering of RUNX2 to KLF2 leads to an amplification of the phenotype. More broadly, we identify the collaborative action of RUNX as a driver in CD8+ T cell states, and show that tethering TFs enables the rational engineering of cell state identity for cell and gene therapies.

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