| Online-Ressource |
Verfasst von: | Aubermann, Florian [VerfasserIn]  |
| Seneca, Senne [VerfasserIn]  |
| Hofman, Tomáš [VerfasserIn]  |
| Garcés Lázaro, Irene [VerfasserIn]  |
| Ajmail, Karim [VerfasserIn]  |
| Daubner, Kai [VerfasserIn]  |
| Cerwenka, Adelheid [VerfasserIn]  |
| Platzman, Ilia [VerfasserIn]  |
| Spatz, Joachim P. [VerfasserIn]  |
Titel: | Modular droplet-based microfluidic platform for functional phenotypic screening of natural killer cells |
Verf.angabe: | Florian Aubermann, Senne Seneca, Tomáš Hofman, Irene Garcés-Lázaro, Karim Ajmail, Kai Daubner, Adelheid Cerwenka, Ilia Platzman, and Joachim P. Spatz |
Jahr: | 2025 |
Umfang: | 9 S. |
Illustrationen: | Illustrationen |
Fussnoten: | Erstmals veröffentlicht: 21. April 2025 ; Gesehen am 27.05.2025 |
Titel Quelle: | Enthalten in: Small Methods |
Ort Quelle: | Weinheim : WILEY-VCH Verlag GmbH & Co. KGaA, 2017 |
Jahr Quelle: | 2025 |
Band/Heft Quelle: | (2025), Artikel-ID 2500236, Seite 1-9 |
ISSN Quelle: | 2366-9608 |
Abstract: | Natural Killer (NK) cells, as key effector cells of the innate immune system, display high heterogeneity in their ability to kill target cells. The underlying mechanisms remain poorly understood. Here, a droplet-based microfluidic platform is presented to identify and select NK cells with serial killing ability. To this end, primary human NK cells are encapsulated with several target cells using an efficient negative pressure-based droplet generator. Capitalizing on the large number of possible killing events due to quantization into droplets, a convolutional neural network analysis pipeline is developed to quantify the cytotoxicity and abundance of serial killing events with high accuracy. To physically select NK cells based on their serial killing ability, MultiCell-Sort - an advanced real-time image-based droplet sorting module - is presented. While conventional single-cell sorters mostly evaluate intrinsically-encoded properties, such as protein expression levels, MultiCell-Sort can select living NK cells based on complex functional phenotypes emerging from multiple cell-cell interactions within the droplet. This novel microfluidic phenotyping platform hereby allows the potential integration of complementary techniques to provide an understanding of regulators and markers underlying the heterogeneous nature of NK cell functional phenotypes. |
DOI: | doi:10.1002/smtd.202500236 |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Volltext: https://doi.org/10.1002/smtd.202500236 |
| kostenfrei: Volltext: http://onlinelibrary.wiley.com/doi/abs/10.1002/smtd.202500236 |
| DOI: https://doi.org/10.1002/smtd.202500236 |
Datenträger: | Online-Ressource |
Sprache: | eng |
Sach-SW: | droplet-based microfluidics |
| natural killer cell phenotypes |
| negative pressure |
| supervised deep learning |
K10plus-PPN: | 1926701879 |
Verknüpfungen: | → Zeitschrift |
Modular droplet-based microfluidic platform for functional phenotypic screening of natural killer cells / Aubermann, Florian [VerfasserIn]; 2025 (Online-Ressource)