2020
DOI: 10.1101/2020.04.15.042077
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Peptide:MHC dependent activation of natural killer cells through KIR2DS2 generates anti-tumor responses

Abstract: Natural killer (NK) cells are increasingly being recognized as agents for cancer immunotherapy. KIR2DS2 is an activating killer-cell immunoglobulin-like receptor (KIR) expressed by NK cells, which has been associated with protective responses to cancer and viral infections. KIR2DS2 binds conserved viral peptides in the context of MHC class I, but to date no cancer-associated peptide ligands that bind activating KIR have been described.In order to determine if targeting KIR was a feasible strategy for mobilizin… Show more

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Cited by 2 publications
(6 citation statements)
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“…'AT' motif at p7 and p8 of peptide is a conserved sequence when KIR2DS2 recognizes highly conserved flaviviruses and hepatitis C peptides found by Salim et al [24]. Currently, three peptides were validated to be involved in the recognition between KIR2DS2 and HLA-C*0102, LNPSVAATL (from HCV), IVDLMCHATF (from Dengue or Zika) and NAPLVHATL (from XPO1 protein) [24,45]. All three peptides have AT motif in p7 and p8.…”
Section: Discussionmentioning
confidence: 87%
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“…'AT' motif at p7 and p8 of peptide is a conserved sequence when KIR2DS2 recognizes highly conserved flaviviruses and hepatitis C peptides found by Salim et al [24]. Currently, three peptides were validated to be involved in the recognition between KIR2DS2 and HLA-C*0102, LNPSVAATL (from HCV), IVDLMCHATF (from Dengue or Zika) and NAPLVHATL (from XPO1 protein) [24,45]. All three peptides have AT motif in p7 and p8.…”
Section: Discussionmentioning
confidence: 87%
“…The importance of this recognition motif is outlined in our study and may be used as a guide for the identification of antigenic peptides for NK cells in future. When those peptides are used in peptide-based KIRtargeting DNA vaccine, the 'AT' motif is indispensable, and if 'AT' is replaced with 'AA', it will not show any effect [45]. Overall, we argue the sequence of peptides and the recognition machines are vital for exploring novel antiviral or anti-tumour treatments.…”
Section: Discussionmentioning
confidence: 93%
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