Engineered molecular sensors for quantifying cell surface crowding.
Sho C TakatoriSungmin SonDaniel S W LeeDaniel A FletcherPublished in: Proceedings of the National Academy of Sciences of the United States of America (2023)
Cells mediate interactions with the extracellular environment through a crowded assembly of transmembrane proteins, glycoproteins and glycolipids on their plasma membrane. The extent to which surface crowding modulates the biophysical interactions of ligands, receptors, and other macromolecules is poorly understood due to the lack of methods to quantify surface crowding on native cell membranes. In this work, we demonstrate that physical crowding on reconstituted membranes and live cell surfaces attenuates the effective binding affinity of macromolecules such as IgG antibodies in a surface crowding-dependent manner. We combine experiment and simulation to design a crowding sensor based on this principle that provides a quantitative readout of cell surface crowding. Our measurements reveal that surface crowding decreases IgG antibody binding by 2 to 20 fold in live cells compared to a bare membrane surface. Our sensors show that sialic acid, a negatively charged monosaccharide, contributes disproportionately to red blood cell surface crowding via electrostatic repulsion, despite occupying only ~1% of the total cell membrane by mass. We also observe significant differences in surface crowding for different cell types and find that expression of single oncogenes can both increase and decrease crowding, suggesting that surface crowding may be an indicator of both cell type and state. Our high-throughput, single-cell measurement of cell surface crowding may be combined with functional assays to enable further biophysical dissection of the cell surfaceome.
Keyphrases
- cell surface
- single cell
- high throughput
- cell therapy
- induced apoptosis
- rna seq
- stem cells
- oxidative stress
- escherichia coli
- physical activity
- cystic fibrosis
- gene expression
- signaling pathway
- cell cycle arrest
- dna methylation
- high resolution
- transcription factor
- bone marrow
- low cost
- molecular dynamics simulations
- candida albicans