Publication
Title
Tracking dye-independent approach to identify and isolate in vitro expanded T cells
Author
Abstract
T cell proliferation is routinely identified in vitro using tracking dyes or through detecting intracellular upregulation of the nuclear protein, Ki-67. However, labeling with tracking dyes is cumbersome, associated with cellular toxicity, while Ki-67 cannot be used to identify and isolate viable T cells, and both techniques are incompatible with MACS technology. Here, we introduce a simple tool to identify and isolate in vitro T cell expansion that is tracking dye-independent and allows for sorting of viable T cells. We show that CD71, a transferrin receptor, and CD98, a heterodimer glycoprotein involved in both integrin signaling and amino-acid transport, are both highly upregulated on proliferating T cells upon in vitro stimulation, and that CD71 expression is maximal on the more recent progeny T cells, while CD98 upregulation remains stable across different generations of progeny T cells. Moreover, we demonstrate that the upregulation of CD71 and CD98 identifies CFSElow T cells and provides further proof of the antigen-specificity of T cells identified by CD71 and CD98 dual upregulation based on tetramer staining. We further show that CD71 can be used to enrich for in vitro expanding T cells using MACS technology. In conclusion, we show that CD71 and CD98 can be used to identify and isolate expanded T cells following in vitro stimulation and that CD71 is an MACS-compatible alternative to tracking dyes or Ki-67 detection. (c) 2019 International Society for Advancement of Cytometry
Language
English
Source (journal)
Cytometry: part A. - New York, 2003, currens
Publication
Hoboken : Wiley , 2019
ISSN
1552-4922 [print]
1552-4930 [online]
DOI
10.1002/CYTO.A.23867
Volume/pages
12 p.
ISI
000479401700001
Pubmed ID
31356002
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Predicting Immune responses by Modeling immunoSequencing data (PIMS).
T-cell receptor diversity and AT-rich DNA sensing by glial cells as key features in controlling neurological varicella-zoster virus infections.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 10.09.2019
Last edited 02.10.2024
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