Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Journal stats
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Journal stats
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Usage Information

Tregs from human blood differentiate into nonlymphoid tissue–resident effector cells upon TNFR2 costimulation
Mark Mensink, Lotte J. Verleng, Ellen Schrama, George M.C. Janssen, Rayman T.N. Tjokrodirijo, Peter A. van Veelen, Qinyue Jiang, M. Fernanda Pascutti, Marie-Louise van der Hoorn, Michael Eikmans, Sander de Kivit, Jannie Borst
Mark Mensink, Lotte J. Verleng, Ellen Schrama, George M.C. Janssen, Rayman T.N. Tjokrodirijo, Peter A. van Veelen, Qinyue Jiang, M. Fernanda Pascutti, Marie-Louise van der Hoorn, Michael Eikmans, Sander de Kivit, Jannie Borst
View: Text | PDF
Research Article Immunology

Tregs from human blood differentiate into nonlymphoid tissue–resident effector cells upon TNFR2 costimulation

  • Text
  • PDF
Abstract

Tregs can facilitate transplant tolerance and attenuate autoimmune and inflammatory diseases. Therefore, it is clinically relevant to stimulate Treg expansion and function in vivo and to create therapeutic Treg products in vitro. We report that TNF receptor 2 (TNFR2) is a unique costimulus for naive, thymus-derived Tregs (tTregs) from human blood that promotes their differentiation into nonlymphoid tissue–resident (NLT-resident) effector Tregs, without Th-like polarization. In contrast, CD28 costimulation maintains a lymphoid tissue–resident (LT-resident) Treg phenotype. We base this conclusion on transcriptome and proteome analysis of TNFR2- and CD28-costimulated CD4+ tTregs and conventional T cells (Tconvs), followed by bioinformatic comparison with published transcriptomic Treg signatures from NLT and LT in health and disease, including autoimmunity and cancer. These analyses illuminate that TNFR2 costimulation promoted tTreg capacity for survival, migration, immunosuppression, and tissue regeneration. Functional studies confirmed improved migratory ability of TNFR2-costimulated tTregs. Flow cytometry validated the presence of the TNFR2-driven tTreg signature in effector/memory Tregs from the human placenta, as opposed to blood. Thus, TNFR2 can be exploited as a driver of NLT-resident tTreg differentiation for adoptive cell therapy or antibody-based immunomodulation in human disease.

Authors

Mark Mensink, Lotte J. Verleng, Ellen Schrama, George M.C. Janssen, Rayman T.N. Tjokrodirijo, Peter A. van Veelen, Qinyue Jiang, M. Fernanda Pascutti, Marie-Louise van der Hoorn, Michael Eikmans, Sander de Kivit, Jannie Borst

×

Usage data is cumulative from July 2025 through July 2026.

Usage JCI PMC
Text version 3,327 306
PDF 445 127
Figure 1,527 0
Supplemental data 1,036 46
Citation downloads 270 0
Totals 6,605 479
Total Views 7,084

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts