The University of Southampton
University of Southampton Institutional Repository
Warning ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us.

Data from: Spatial clustering of receptors and signaling molecules regulates NK cell response to peptide repertoire changes

Data from: Spatial clustering of receptors and signaling molecules regulates NK cell response to peptide repertoire changes
Data from: Spatial clustering of receptors and signaling molecules regulates NK cell response to peptide repertoire changes
Natural Killer (NK) cell activation requires the integration of inhibitory and activating signaling. Inhibitory signals are determined by members of the killer cell immunoglobulin-like receptor (KIR) family, which have major histocompatibility complex (MHC) class I ligands. Loss of this inhibitory signal leads to NK cell activation. Thus, down-regulation of MHC I during viral infection or cancer induces NK cells activation. However, NK cell activation in the presence of MHC-I has been demonstrated for HLA-C*0102 through changes in its peptide content: “peptide antagonism”. Here we identify an antagonist peptide for HLA-C*0304 suggesting that peptide antagonism is a generalizable phenomenon and, using a combination of mathematical modelling, confocal imaging, and immune-assays, we quantitatively determine mechanisms that underlie peptide antagonism in inhibitory KIR2DL2/3 signaling. These data provide a mechanism for NK cell activation based on a reduction of inhibitory signaling in the presence of preserved levels of MHC class I.,nkcell_Model1_reactionsStochastic Simulation Compiler (SSC) code for Model 1nkcell_Model2_reactionsStochastic Simulation Compiler (SSC) code for Model 2nk_cell_Model1_parametersSSC input file for the parameter values used for Model 1nk_cell_Model2_parametersSSC input file for parameter values for Model 2,
DRYAD
Mbiribindi, Berenice
0f654cae-3ba2-42f3-93ec-0da44b5ada19
Mukherjee, Sayak
19a02392-75d8-418b-b6f0-bc095b162260
Wellington, Dannielle
675931a2-122b-464c-9aff-9be9879580fc
Das, Jayajit
989b840f-3503-41a1-aacb-65448949f07d
Khakoo, Salim I.
6c16d2f5-ae80-4d9b-9100-6bfb34ad0273
Mbiribindi, Berenice
0f654cae-3ba2-42f3-93ec-0da44b5ada19
Mukherjee, Sayak
19a02392-75d8-418b-b6f0-bc095b162260
Wellington, Dannielle
675931a2-122b-464c-9aff-9be9879580fc
Das, Jayajit
989b840f-3503-41a1-aacb-65448949f07d
Khakoo, Salim I.
6c16d2f5-ae80-4d9b-9100-6bfb34ad0273

Mbiribindi, Berenice, Mukherjee, Sayak and Das, Jayajit (2019) Data from: Spatial clustering of receptors and signaling molecules regulates NK cell response to peptide repertoire changes. DRYAD doi:10.5061/dryad.mg3n2c2 [Dataset]

Record type: Dataset

Abstract

Natural Killer (NK) cell activation requires the integration of inhibitory and activating signaling. Inhibitory signals are determined by members of the killer cell immunoglobulin-like receptor (KIR) family, which have major histocompatibility complex (MHC) class I ligands. Loss of this inhibitory signal leads to NK cell activation. Thus, down-regulation of MHC I during viral infection or cancer induces NK cells activation. However, NK cell activation in the presence of MHC-I has been demonstrated for HLA-C*0102 through changes in its peptide content: “peptide antagonism”. Here we identify an antagonist peptide for HLA-C*0304 suggesting that peptide antagonism is a generalizable phenomenon and, using a combination of mathematical modelling, confocal imaging, and immune-assays, we quantitatively determine mechanisms that underlie peptide antagonism in inhibitory KIR2DL2/3 signaling. These data provide a mechanism for NK cell activation based on a reduction of inhibitory signaling in the presence of preserved levels of MHC class I.,nkcell_Model1_reactionsStochastic Simulation Compiler (SSC) code for Model 1nkcell_Model2_reactionsStochastic Simulation Compiler (SSC) code for Model 2nk_cell_Model1_parametersSSC input file for the parameter values used for Model 1nk_cell_Model2_parametersSSC input file for parameter values for Model 2,

This record has no associated files available for download.

More information

Published date: 1 January 2019

Identifiers

Local EPrints ID: 448676
URI: http://eprints.soton.ac.uk/id/eprint/448676
PURE UUID: 7b7a47d8-3ca7-4503-b134-0448f6654073

Catalogue record

Date deposited: 29 Apr 2021 16:32
Last modified: 29 Apr 2021 16:32

Export record

Altmetrics

Contributors

Creator: Berenice Mbiribindi
Creator: Sayak Mukherjee
Contributor: Dannielle Wellington
Creator: Jayajit Das
Contributor: Salim I. Khakoo

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×