Back

High-throughput analysis of membrane fluidity unveils a hidden dimension in immune cell states

Andronico, L. A.; Jiang, Y.; Carannante, V.; Iskrak, S.; Sandoz, P. A.; Mikes, J.; Klymchenko, A. S.; Buggert, M.; Osterborg, A.; Onfelt, B.; Brodin, P.; Sezgin, E.

2024-01-16 biophysics
10.1101/2024.01.15.575649 bioRxiv
Show abstract

Cell membranes undergo biophysical remodelling as an adaptation to the surroundings and to perform specific biological functions. However, the extent and relevance of such changes in human immune cells remain unknown, largely due to the lack of high throughput and multidimensional methodologies. Here, we describe a cytometry-based method with single-cell resolution which fills this gap by combining biophysical profiling with simultaneous analysis of multiple immune cell markers. This platform allows to reveal notable cell type-dependent remodelling of plasma membrane order in diseases. By sorting immune cells based on their membrane order and performing functional and transcriptomic analyses, we link the plasma membrane order with cell states and reveal the underling transcriptomic codes. Our findings demonstrate a broad heterogeneity of plasma membrane order in immune cells that will provide a more precise definition of immune cell states based on their biophysical properties in health and disease.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.