Studying Macromolecular Composition in Cell–Cell Interfaces Using 3D Membrane Reconstitution Systems
type: Dataset
description: It contains data sets from the publication, with the details for citation provided in the README file. Please cite this item as: F. Ragaller, A. M. Schneider, E. Sjule, R. Sun, X. Han, L. Andronico, E. Jenkins, M. Dustin, A. Achour, E. Sezgin DOI: 10.17044/scilifelab.30540932 It contains raw microscopy images, figures and excel sheets of the data. Abstract During direct communication between two cells, the plasma membranes of each cell serve as a platform for ligand-receptor interaction initiating downstream signalling cascades. In immune cell signalling, this cell-cell interface – the immune synapse – is highly spatiotemporally organized. Multiple stimulatory and co-stimulatory signals need to be integrated over time to ensure proper immune cell function. This process is still not fully understood given the vast complexity of interactions between proteins, lipids, glycocalyx and associated cortical actin cytoskeleton. Here, we presented a fully artificial model system to study the interface between two vesicles and a semi-artificial one between a live cell and a vesicle to reconstitute 3D contacts. We investigated the distribution and reorganization of immune cell proteins at artificial and semi-artificial contacts. We show the enrichment and depletion of different proteins in the synapse and how different peptides with varying affinity presented by the same major histocompatibility complex (MHC) class I affect T cell activation. We further explored the distribution of glycocalyx elements and showed differential partitioning of different sugar moieties in the interface. While we focused on the T cell interface here, our model systems are powerful tools to study distribution and reorganization of lipids, proteins and glycocalyx components at any cell-cell contact. Data usage Researchers are welcome to use the data contained in the dataset for any projects. Please cite this item upon use or when published. We encourage reuse using the same CC BY 4.0 License. Data Con…
creative work status: completed
  type: DefinedTerm
  in defined term set: http://publications.europa.eu/resource/authority/dataset-status
  term code: COMPLETED
creator: Erdinc Sezgin
creator: Franziska Ragaller
creator: Amelie Maribel Schneider
  type: Person
  family name: Schneider
  given name: Amelie Maribel
creator: Ellen Sjule
  type: Person
  family name: Sjule
  given name: Ellen
creator: Renhua Sun
creator: Xiao Han
creator: Luca Andronico
  type: Person
  family name: Andronico
  given name: Luca
creator: Edward Jenkins
  type: Person
  family name: Jenkins
  given name: Edward
creator: Michael L. Dustin
  type: Person
  family name: Dustin
  given name: Michael L.
creator: Adnane Achour
date modified: 2026-04-28
date published: 2026-04-28
keywords: Medical and Health Sciences
  type: DefinedTerm
  term code: 3
keywords: Biological Sciences
  type: DefinedTerm
  term code: 106
keywords: Synthetic biology
keywords: Receptors and membrane biology
keywords: Glycobiology
keywords: Cellular interactions (incl. adhesion, matrix, cell wall)
license: https://creativecommons.org/licenses/by/4.0/
publisher: Karolinska Institutet
version: 0

PropertyValue
property ID: DOI
value: 10.17044/SCILIFELAB.30540932

Erdinc Sezgin
type: Person
affiliation: Science for Life Laboratory
family name: Sezgin
given name: Erdinc

Science for Life Laboratory
type: Organization

Franziska Ragaller
type: Person
affiliation: Science for Life Laboratory
family name: Ragaller
given name: Franziska

Renhua Sun
type: Person
family name: Sun
given name: Renhua

Xiao Han
type: Person
family name: Han
given name: Xiao

Adnane Achour
type: Person
family name: Achour
given name: Adnane

Karolinska Institutet
type: Organization