Title |
Polyclonal Expansion of NKG2C+ NK Cells in TAP-Deficient Patients
|
---|---|
Published in |
Frontiers in immunology, October 2015
|
DOI | 10.3389/fimmu.2015.00507 |
Pubmed ID | |
Authors |
Vivien Béziat, Marwan Sleiman, Jodie P. Goodridge, Mari Kaarbø, Lisa L. Liu, Halvor Rollag, Hans-Gustaf Ljunggren, Jacques Zimmer, Karl-Johan Malmberg |
Abstract |
Adaptive natural killer (NK) cell responses to human cytomegalovirus infection are characterized by the expansion of NKG2C(+) NK cells expressing self-specific inhibitory killer-cell immunoglobulin-like receptors (KIRs). Here, we set out to study the HLA class I dependency of such NKG2C(+) NK cell expansions. We demonstrate the expansion of NKG2C(+) NK cells in patients with transporter associated with antigen presentation (TAP) deficiency, who express less than 10% of normal HLA class I levels. In contrast to normal individuals, expanded NKG2C(+) NK cell populations in TAP-deficient patients display a polyclonal KIR profile and remain hyporesponsive to HLA class I-negative target cells. Nonetheless, agonistic stimulation of NKG2C on NK cells from TAP-deficient patients yielded significant responses in terms of degranulation and cytokine production. Thus, while interactions with self-HLA class I molecules likely shape the KIR repertoire of expanding NKG2C(+) NK cells during adaptive NK cell responses in normal individuals, they are not a prerequisite for NKG2C(+) NK cell expansions to occur. The emergence of NKG2C-responsive adaptive NK cells in TAP-deficient patients may contribute to antiviral immunity and potentially explain these patients' low incidence of severe viral infections. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
France | 1 | 3% |
Unknown | 37 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 23% |
Student > Ph. D. Student | 7 | 18% |
Student > Master | 4 | 10% |
Other | 3 | 8% |
Student > Bachelor | 3 | 8% |
Other | 6 | 15% |
Unknown | 7 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 12 | 31% |
Agricultural and Biological Sciences | 7 | 18% |
Medicine and Dentistry | 6 | 15% |
Biochemistry, Genetics and Molecular Biology | 4 | 10% |
Computer Science | 1 | 3% |
Other | 3 | 8% |
Unknown | 6 | 15% |