ORIGINAL RESEARCH article

Front. Immunol.

Sec. T Cell Biology

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1602172

This article is part of the Research TopicAdvancing Treg Cell Therapy: A Comprehensive Review SeriesView all articles

Transcriptional Fingerprinting of Regulatory T Cells: Ensuring Quality in Cell Therapy Applications

Provisionally accepted
Zhang  ChengZhang Cheng1Li-Jie  WangLi-Jie Wang1Yuchi  HonakerYuchi Honaker1Steven  CincottaSteven Cincotta1Claire  E PageClaire E Page1Sydney  VollhardtSydney Vollhardt1Victor  YuanVictor Yuan1Sarah  Alice LongSarah Alice Long2Yuanyuan  XiaoYuanyuan Xiao1Joshua  N BeilkeJoshua N Beilke1Joseph  R ArronJoseph R Arron1Jeffrey  A BluestoneJeffrey A Bluestone1*
  • 1Sonoma Biotherapeutics, San Francisco, United States
  • 2Center for Translational Immunology, Benaroya Research Institute, Seattle, United States

The final, formatted version of the article will be published soon.

The success of regulatory T cell (Treg) therapies depends on the source of Treg and the quality of Treg manufacturing product that maintains Treg identity. Commonly used methods to identify Treg, including assessment of FOXP3 expression and demethylation of the Treg-specific demethylated region (TSDR), may not be sufficient on their own to ensure that Treg cell therapy drug products have an optimal identity and phenotype prior to infusion into patients. To address this critical need, we developed a robust framework to molecularly characterize Treg products using next-generation sequencing. By systematically profiling Treg and effector T cells (Teff) pre-and post-expansion, we defined the molecular fingerprints for expanded Treg products. We employed a non-parametric algorithm to score Treg manufacturing products for their cell identity and expansion fingerprints. The identity fingerprint reflects Treg cell identity by effectively distinguishing Treg from Teff cells irrespective of their activation status with 100% sensitivity and specificity, while the expansion fingerprint discriminates expanded vs endogenous Treg or Teff cells. We also showed that the identity fingerprint predicts Treg stability in in vitro settings and can be used to illustrate differences in drug products generated using distinct strategies. We further applied fingerprinting to bulk RNA sequencing (RNA-seq) data from endogenous and expanded Treg cells in a Phase 2 clinical trial for type 1 diabetes (T1D), demonstrating its ability to capture Treg identity and expansion in an independent study. Overall, our Treg fingerprinting method provides a powerful tool to molecularly characterize Treg products, potentially enabling correlative analysis with the safety and efficacy outcomes of Treg-based cell therapies.

Keywords: cell therapy, Treg product, Treg fingerprint, Treg identity, Autoimmunity

Received: 28 Mar 2025; Accepted: 27 May 2025.

Copyright: © 2025 Cheng, Wang, Honaker, Cincotta, Page, Vollhardt, Yuan, Long, Xiao, Beilke, Arron and Bluestone. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Jeffrey A Bluestone, Sonoma Biotherapeutics, San Francisco, United States

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