University of Texas Health Science Center at Houston
Tsyn-Seq: A T Cell Synapse-Based Antigen Identification Platform
Abstract
dc:description.abstract<p>Tools for genome-wide rapid identification of peptide–major histocompatibility complex targets of T-cell receptors (TCRs) are not yet universally available. We present a new antigen screening method, the T-synapse (Tsyn) reporter system, which includes antigen-presenting cells (APCs) with a Fas-inducible NF-κB reporter and T cells with a nuclear factor of activated T cells (NFAT) reporter. To functionally screen for target antigens from a cDNA library, productively interacting T cell–APC aggregates were detected by dual reporter activity and enriched by flow sorting followed by antigen identification quantified by deep sequencing (Tsyn-seq). When applied to a previously characterized TCR specific for the E7 antigen derived from human papillomavirus type 16 (HPV16), Tsyn-seq successfully enriched the correct cognate antigen from a cDNA library derived from an HPV16-positive cervical cancer cell line. Tsyn-seq provides a method for rapidly identifying antigens recognized by TCRs of interest from a tumor cDNA library.</p>
Degree
thesis:*- Name thesis:degree_name
- Doctor of Philosophy (PhD)
- Level thesis:degree_level
- Dissertation (PhD)
- Year dc:date.available
- 2024
Author and committee
dc:creator, dc:contributor.*- Authors dc:creator
-
- Jin, Yimei
- <p><a href="https://orcid.org/0000-0001-7599-7042" target="_blank">0000-0001-7599-7042</a></p>
- Contributors dc:contributor
-
- Robert Jenq
- Stephanie S. Watowich
- Gregory A. Lizee
Subjects
dc:subject × 2Identifiers
dc:identifier.*- Repository record dc:identifier
- https://digitalcommons.library.tmc.edu/utgsbs_dissertations/1385
- OAI identifier oai:identifier
- oai:digitalcommons.library.tmc.edu:utgsbs_dissertations-2442