Identification and Tracking of Alloreactive T Cell Clones in Rhesus Macaques Through the RM-scTCR-Seq Platform
Name
fimmu-12-804932.pdf
Description
Published version
Size
3.59 MB
Format
Adobe PDF
Checksum (MD5)
abc914ccdaee3e480080d996b8ae888b
Author(s)
Gerdemann, Ulrike
Fleming, Ryan A
Kaminski, James
McGuckin, Connor
Rui, Xianliang
Lane, Jennifer F
Keskula, Paula
Cagnin, Lorenzo
Shalek, Alex K
Tkachev, Victor
Date Issued
2021
Journal
Frontiers in Immunology
Publisher
Frontiers Media SA
Citation
Gerdemann, Ulrike, Fleming, Ryan A, Kaminski, James, McGuckin, Connor, Rui, Xianliang et al. 2021. "Identification and Tracking of Alloreactive T Cell Clones in Rhesus Macaques Through the RM-scTCR-Seq Platform." Frontiers in Immunology, 12.
Version
Final published version
Abstract
T cell receptor (TCR) clonotype tracking is a powerful tool for interrogating T cell mediated immune processes. New methods to pair a single cell’s transcriptional program with its TCR identity allow monitoring of T cell clonotype-specific transcriptional dynamics. While these technologies have been available for human and mouse T cells studies, they have not been developed for Rhesus Macaques (RM), a critical translational organism for autoimmune diseases, vaccine development and transplantation. We describe a new pipeline, ‘RM-scTCR-Seq’, which, for the first time, enables RM specific single cell TCR amplification, reconstruction and pairing of RM TCR’s with their transcriptional profiles. We apply this method to a RM model of GVHD, and identify and track in vitro detected alloreactive clonotypes in GVHD target organs and explore their GVHD driven cytotoxic T cell signature. This novel, state-of-the-art platform fundamentally advances the utility of RM to study protective and pathogenic T cell responses.
MIT Department
Massachusetts Institute of Technology. Department of Chemistry
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Koch Institute for Integrative Cancer Research at MIT
Ragon Institute of MGH, MIT and Harvard
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3389/fimmu.2021.804932
