Literature DB >> 15731181

Cytotoxic minor histocompatibility antigen HA-1-specific CD8+ effector memory T cells: artificial APCs pave the way for clinical application by potent primary in vitro induction.

Karin Schilbach1, Gunter Kerst, Steffen Walter, Matthias Eyrich, Dorothee Wernet, Rupert Handgretinger, Weidong Xie, Hans-Georg Rammensee, Ingo Müller, Hans-Jörg Bühring, Dietrich Niethammer.   

Abstract

Induction of cytotoxic T lymphocytes (CTLs) for treatment of relapsed leukemia after allogeneic stem-cell transplantation is hindered by the laborious and time-consuming procedure of generating dendritic cells for antigen presentation. Artificial antigen-presenting cells (aAPCs) offer the advantage of being readily available in sufficient numbers, thus allowing for a highly standardized in vitro induction of CTLs. We generated aAPCs coated with anti-CD28 antibody (Ab) and either high-density (HD) or low-density (LD) major histocompatibility complex (MHC) class I molecules loaded with HA-1(H), a nonapeptide derived from the hematopoiesis-restricted minor histocompatibility antigen HA-1. HD- and LD-aAPCs potently induced HA-1(H)-specific CD8+ CTLs from untouched CD8+ T cells of healthy donors. CTLs were subsequently purified by magnetic-activated cell sorting. HD- as well as LD-aAPC-induced CTLs exerted high HA-1H-specific cytotoxicity, resembled T(c)1 effector memory cells, survived a long time in vitro, and were expanded by a factor varying between 8.2 x 10(4) and 51 x 10(4). The T-cell receptor (TCR) repertoire of HA-1H tetramer-positive CTLs was oligoclonal with a prominent usage of Vbeta6. The TCR repertoire of tetramer-positive CTLs was distinct from and more restricted than that of tetramer-negative cells. These findings indicate that aAPCs are attractive tools for the ex vivo generation of HA-1H-specific CTLs suitable for immunotherapy of relapsed leukemia.

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Year:  2005        PMID: 15731181     DOI: 10.1182/blood-2004-07-2940

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


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