TY - JOUR
T1 - Mechanism of Shiga Toxin Clustering on Membranes
AU - Pezeshkian, Weria
AU - Gao, Haifei
AU - Arumugam, Senthil
AU - Becken, Ulrike
AU - Bassereau, Patricia
AU - Florent, Jean Claude
AU - Ipsen, John Hjort
AU - Johannes, Ludger
AU - Shillcock, Julian C.
PY - 2017/1/24
Y1 - 2017/1/24
N2 - The bacterial Shiga toxin interacts with its cellular receptor, the glycosphingolipid globotriaosylceramide (Gb3 or CD77), as a first step to entering target cells. Previous studies have shown that toxin molecules cluster on the plasma membrane, despite the apparent lack of direct interactions between them. The precise mechanism by which this clustering occurs remains poorly defined. Here, we used vesicle and cell systems and computer simulations to show that line tension due to curvature, height, or compositional mismatch, and lipid or solvent depletion cannot drive the clustering of Shiga toxin molecules. By contrast, in coarse-grained computer simulations, a correlation was found between clustering and toxin nanoparticle-driven suppression of membrane fluctuations, and experimentally we observed that clustering required the toxin molecules to be tightly bound to the membrane surface. The most likely interpretation of these findings is that a membrane fluctuation-induced force generates an effective attraction between toxin molecules. Such force would be of similar strength to the electrostatic force at separations around 1 nm, remain strong at distances up to the size of toxin molecules (several nanometers), and persist even beyond. This force is predicted to operate between manufactured nanoparticles providing they are sufficiently rigid and tightly bound to the plasma membrane, thereby suggesting a route for the targeting of nanoparticles to cells for biomedical applications.
AB - The bacterial Shiga toxin interacts with its cellular receptor, the glycosphingolipid globotriaosylceramide (Gb3 or CD77), as a first step to entering target cells. Previous studies have shown that toxin molecules cluster on the plasma membrane, despite the apparent lack of direct interactions between them. The precise mechanism by which this clustering occurs remains poorly defined. Here, we used vesicle and cell systems and computer simulations to show that line tension due to curvature, height, or compositional mismatch, and lipid or solvent depletion cannot drive the clustering of Shiga toxin molecules. By contrast, in coarse-grained computer simulations, a correlation was found between clustering and toxin nanoparticle-driven suppression of membrane fluctuations, and experimentally we observed that clustering required the toxin molecules to be tightly bound to the membrane surface. The most likely interpretation of these findings is that a membrane fluctuation-induced force generates an effective attraction between toxin molecules. Such force would be of similar strength to the electrostatic force at separations around 1 nm, remain strong at distances up to the size of toxin molecules (several nanometers), and persist even beyond. This force is predicted to operate between manufactured nanoparticles providing they are sufficiently rigid and tightly bound to the plasma membrane, thereby suggesting a route for the targeting of nanoparticles to cells for biomedical applications.
KW - Casimir force
KW - clustering
KW - endocytosis
KW - fluctuation-induced force
KW - glycosphingolipid
KW - invagination
KW - lectin
KW - membrane
UR - http://www.scopus.com/inward/record.url?scp=85018483024&partnerID=8YFLogxK
U2 - 10.1021/acsnano.6b05706
DO - 10.1021/acsnano.6b05706
M3 - Article
C2 - 27943675
AN - SCOPUS:85018483024
SN - 1936-0851
VL - 11
SP - 314
EP - 324
JO - ACS Nano
JF - ACS Nano
IS - 1
ER -