Commit 35ceb718 authored by Turnhout, M.C. van's avatar Turnhout, M.C. van
Browse files

add ref to Nikitas abstract

parent 8ffb1e42
...@@ -13,7 +13,7 @@ https://gitlab.tue.nl/STEM/DMAlab/tree/v0.03-alpha3u1 ...@@ -13,7 +13,7 @@ https://gitlab.tue.nl/STEM/DMAlab/tree/v0.03-alpha3u1
Introduces some performance improvements and fixes, restores per-channel fluo analysis settings. Introduces some performance improvements and fixes, restores per-channel fluo analysis settings.
Many thanks for the critical review of v0.02 by Ayla Hokke, Lars Houben, and Nikita Subedi. Many thanks for the critical review of v0.02 by Ayla Hokke, Lars Houben, and Nikita Subedi.
This version was used for the MSC.-thesis _High-throughput droplet-based microfluidic assay to study single-cell cytotoxicity in real time_ by A.M. (Ayla) Hokke (Eindhoven University of Technology, October 2020). This version was used for the MSc.-thesis _High-throughput droplet-based microfluidic assay to study single-cell cytotoxicity in real time_ by A.M. (Ayla) Hokke (Eindhoven University of Technology, October 2020), and for the abstract _Decoding Effector functions in Natural Killer Cells using a Droplet-Based Single-Cell Analysis Platform_ by N. (Nikita) Subedi et al. (Digital Annual Meeting NVVI 2020, abstract NVVI55).
*WARNING* This version is not compatible with existing DMAlab_param.m-files. *WARNING* This version is not compatible with existing DMAlab_param.m-files.
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...@@ -113,4 +113,31 @@ applicable to other research objectives.}, ...@@ -113,4 +113,31 @@ applicable to other research objectives.},
timestamp = {2020.12.01}, timestamp = {2020.12.01},
} }
@Conference{Subedi2020,
author = {Subedi, Nikita and \noopsort{Eyndhoven}van Eyndhoven, Laura and Hokke, Ayla and Houben, Lars and \noopsort{Turnhout}van Turnhout, Mark and Tel, Jurjen},
title = {{D}ecoding {E}ffector functions in {N}atural {K}iller {C}ells using a {D}roplet-{B}ased {S}ingle-{C}ell {A}nalysis {P}latform},
booktitle = {Digital Annual Meeting NVVI 2020},
year = {2020},
number = {NVVI55},
month = {December},
abstract = {Natural Killer cells are type 1 innate lymphocytes that can effectively recognize and kill infected or
malignant cells based on missing MHC-1 molecules. The cytotoxic function of NK cells relies on
balanced activating and inhibiting signals upon binding to several NK cell receptors on the target
cell's surface. A functional NK cell repertoire is generated through cellular education, resulting in a
heterogeneous NK cell population with varying capacity to respond to different stimuli. Conventional
cytotoxicity assays, performed with a mixed population of NK cells and target cells, are not able to
address heterogeneity, thus, failing to provide a comprehensive overview about cell-cell interactions,
cytolysis, and secretory activity.
Here, we present a high-throughput droplet-based microfluidic platform to monitor real-time NK cell-target cell interactions on a single cell level. Through fluorescence-based screening of
around 100,000 droplets, with different E:T ratios, a fully automated image analysis allows for the
assessment of individual killing events in each droplet over time.
During 12 hours of in-droplet cell pairing, we observed that the dynamics of NK cell cytotoxicity
ranges from 10 minutes to more than 4 hours. Around 20% of the total NK cells in droplets were able
to kill the paired K562 cells, of which 11% were in 1:1 E:T ratio. Therefore, by using our single-cell
analysis platform, we demonstrated that NK cell populations are composed of potential subsets with
different strengths and efficacies regarding their effector functions.},
owner = {tue},
timestamp = {2020.12.01},
}
@Comment{jabref-meta: databaseType:bibtex;} @Comment{jabref-meta: databaseType:bibtex;}
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