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October 12, 2025Open Access

Scalable transcription factor mapping uncovers the regulatory dynamics of natural and synthetic transcription factors in human T cell states

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Authors

RMRiley MullinsJZJesse M. ZaretskyESEmily Stoller

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Overview

Analytical framework integrates TF binding and multi-omic sequencing in T cells, highlighting regulatory networks.

Key Points

  • Mapping transcription factors reveals their critical roles in human T cell memory and exhaustion states.
  • Using a novel platform, data demonstrated the unique behaviors of domain-swapped transcription factors on gene binding.
  • The adapted Calling Cards method enabled scalable transposon-based TF mapping for improved insights in primary human CD8 T cells.
  • Integration of TF binding with multi-omic data identified crucial gene programs and the dynamics of memory T cell enhancers.

Cite This Study

Mullins et al. (2025) studied this question.

synapsesocial.com/papers/68ec1be02b8fa9b2b78ad187https://doi.org/10.1101/2025.10.09.681414
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1TF-MAPS: fast high-resolution functional and allosteric mapping of DNA-binding proteins2025
  2. 2Comparative evaluation of genomic footprinting algorithms for predicting transcription factor binding sites in single-cell data2025
  3. 3Foxp3 and BATF cooperatively direct <i>cis</i>-regulatory programs and gene expression for functional differentiation of Treg cells2025
  4. 4Differential BCL6-mediated transcriptional regulation of human TFH cells 23002025
  5. 5Single-molecule imaging of transcription dynamics, RNA localization and fate in human T cells2025