Membrane Fluctuation Model for Understanding the Effect of Receptor Nanoclustering on the Activation of Natural Killer Cells through Biomechanical Feedback

Ashish Pandey, Piotr Nowakowski, Carlos Ureña Martin, Muhammad Abu Ahmad, Avishay Edri, Esti Toledo, Sivan Tzadka, Jonas Walther, Guillaume Le Saux, Angel Porgador, Ana Sunčana Smith, Mark Schvartzman

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We investigated the role of ligand clustering and density in the activation of natural killer (NK) cells. To that end, we designed reductionist arrays of nanopatterned ligands arranged with different cluster geometries and densities and probed their effects on NK cell activation. We used these arrays as an artificial microenvironment for the stimulation of NK cells and studied the effect of the array geometry on the NK cell immune response. We found that ligand density significantly regulated NK cell activation while ligand clustering had an impact only at a specific density threshold. We also rationalized these findings by introducing a theoretical membrane fluctuation model that considers biomechanical feedback between ligand-receptor bonds and the cell membrane. These findings provide important insight into NK cell mechanobiology, which is fundamentally important and essential for designing immunotherapeutic strategies targeting cancer.

Original languageEnglish
Pages (from-to)5395-5402
Number of pages8
JournalNano Letters
Volume24
Issue number18
DOIs
StatePublished - 8 May 2024

Keywords

  • activation
  • clustering
  • immune response
  • nanolithography
  • natural killer cells

ASJC Scopus subject areas

  • General Chemistry
  • Condensed Matter Physics
  • Mechanical Engineering
  • Bioengineering
  • General Materials Science

Fingerprint

Dive into the research topics of 'Membrane Fluctuation Model for Understanding the Effect of Receptor Nanoclustering on the Activation of Natural Killer Cells through Biomechanical Feedback'. Together they form a unique fingerprint.

Cite this