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Titel: Cytotoxic Efficiency of Human CD8+ T Cell Memory Subtypes
VerfasserIn: Knörck, Arne
Schäfer, Gertrud
Alansary, Dalia
Richter, Josephine
Thurner, Lorenz
Hoth, Markus
Schwarz, Eva C.
Sprache: Englisch
Titel: Frontiers in Immunology
Bandnummer: 13
Verlag/Plattform: Frontiers
Erscheinungsjahr: 2022
Freie Schlagwörter: cytotoxic T lymphocytes
CTL
memory CD8+T cells
SEA (staphylococcal enterotoxin A)
killing mechanism
perforin
CD8+ T cell subtypes
DDC-Sachgruppe: 610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Immunological memory is important to protect humans against recurring diseases. Memory CD8+ T cells are required for quick expansion into effector cells but also provide immediate cytotoxicity against their targets. Whereas many functions of the two main cytotoxic subtypes, effector memory CD8+ T cells (TEM) and central memory CD8+ T cells (TCM), are well defined, single TEM and TCM cell cytotoxicity has not been quantified. To quantify cytotoxic efficiency of TEM and TCM, we developed a FRET-based single cell fluorescent assay with NALM6 target cells which allows analysis of target cell apoptosis, secondary necrosis following apoptosis, and primary necrosis after TEM- or TCM-target cell contact. Both, single cell and population cytotoxicity assays reveal a higher cytotoxic efficiency of TEM compared to TCM, as quantified by target cell apoptosis and secondary necrosis. Perforin, granzyme B, FasL, but not TRAIL expression are higher in TEM compared to TCM. Higher perforin levels (likely in combination with higher granzyme levels) mediate higher cytotoxic efficiency of TEM compared to TCM. Both, TEM and TCM need the same time to find their targets, however contact time between CTL and target, time to induce apoptosis, and time to induce secondary necrosis are all shorter for TEM. In addition, immune synapse formation in TEM appears to be slightly more efficient than in TCM. Defining and quantifying single TEM and TCM cytotoxicity and the respective mechanisms is important to optimize future subset-based immune therapies.
DOI der Erstveröffentlichung: 10.3389/fimmu.2022.838484
URL der Erstveröffentlichung: https://doi.org/10.3389/fimmu.2022.838484
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-411785
hdl:20.500.11880/36948
http://dx.doi.org/10.22028/D291-41178
ISSN: 1664-3224
Datum des Eintrags: 24-Nov-2023
Bezeichnung des in Beziehung stehenden Objekts: Supplementary Material
In Beziehung stehendes Objekt: https://ndownloader.figstatic.com/files/34794334
Fakultät: M - Medizinische Fakultät
Fachrichtung: M - Biophysik
M - Innere Medizin
Professur: M - Prof. Dr. Markus Hoth
M - Prof. Dr. Barbara Niemeyer-Hoth
M - Dr. med. Lorenz Thurner
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons