Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • 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
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Usage Information

A platform for parallel T cell receptor cloning and testing enables anti-neoantigen tumor immunotherapy
Alexander M. Rowe, Smriti Chaurasia, Wenzhong Wei, Laura García-Diéguez, Katherine Querry, Johnathon G. Schiebel, Christy Smolak, Alexander G. Muralles, Daniel Wikenheiser, Kevin Quann, Collin Pirner, Kentin Codispot, Mark J. Shlomchik, Warren D. Shlomchik
Alexander M. Rowe, Smriti Chaurasia, Wenzhong Wei, Laura García-Diéguez, Katherine Querry, Johnathon G. Schiebel, Christy Smolak, Alexander G. Muralles, Daniel Wikenheiser, Kevin Quann, Collin Pirner, Kentin Codispot, Mark J. Shlomchik, Warren D. Shlomchik
View: Text | PDF
Resource and Technical Advance In-Press Preview Immunology Oncology

A platform for parallel T cell receptor cloning and testing enables anti-neoantigen tumor immunotherapy

  • Text
  • PDF
Abstract

Tumor-infiltrating CD8 cells recognize neoantigens created by tumor-specific mutations. Nonetheless, even after checkpoint inhibitor therapy, most patients progress. A deeper understanding of anti-tumor responses could facilitate development of better therapies. To enable such studies, we applied TCXpress, a high throughput platform that clones fully expressible TCRs from single cells into retro- or lenti- viral vectors without sequencing or gene synthesis, to study TCRs from CD8 cells infiltrating mouse MC38 tumors. We expressed cloned TCRs in reporter cells and interrogated TCR specificity by coculturing them with B6WT3 cells transduced with tandem minigenes encoding predicted neoantigens. We isolated TCRs reactive against epitopes from mutant Rpl18, Adpgk, Psmd2, and Zc3h7b along with self-reactive TCRs that recognized normal B6 and MC38 cells. Importantly, we successfully treated MC38-bearing mice with T cells transduced with anti-Rpl18 TCRs. These results establish a system that could be used to study many types of T cell responses and validates a therapeutic approach that could be tested in the clinic.

Authors

Alexander M. Rowe, Smriti Chaurasia, Wenzhong Wei, Laura García-Diéguez, Katherine Querry, Johnathon G. Schiebel, Christy Smolak, Alexander G. Muralles, Daniel Wikenheiser, Kevin Quann, Collin Pirner, Kentin Codispot, Mark J. Shlomchik, Warren D. Shlomchik

×

Usage data is cumulative from April 2026 through May 2026.

Usage JCI PMC
Text version 554 0
PDF 282 0
Supplemental data 327 0
Citation downloads 90 0
Totals 1,253 0
Total Views 1,253

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