학술논문

Nanoscale binding site localization by molecular distance estimation on native cell surfaces using topological image averaging
Document Type
Source
eLife NanoLund: Centre for Nanoscience. 11:1-15
Subject
Naturvetenskap
Biologi
Biokemi och molekylärbiologi
Natural Sciences
Biological Sciences
Biochemistry and Molecular Biology
Medicin och hälsovetenskap
Medicinska och farmaceutiska grundvetenskaper
Immunologi inom det medicinska området
Medical and Health Sciences
Basic Medicine
Immunology in the medical area
Language
English
ISSN
2050-084X
Abstract
Antibody binding to cell surface proteins plays a crucial role in immunity, and the location of an epitope can altogether determine the immunological outcome of a host-target interaction. Techniques available today for epitope identification are costly, time-consuming, and unsuited for high-throughput analysis. Fast and efficient screening of epitope location can be useful for the development of therapeutic monoclonal antibodies and vaccines. Cellular morphology typically varies, and antibodies often bind heterogeneously across a cell surface, making traditional particle-averaging strategies challenging for accurate native antibody localization. In the present work, we have developed a method, SiteLoc, for imaging-based molecular localization on cellular surface proteins. Nanometer-scale resolution is achieved through localization in one dimension, namely, the distance from a bound ligand to a reference surface. This is done by using topological image averaging. Our results show that this method is well suited for antibody binding site measurements on native cell surface morphology and that it can be applied to other molecular distance estimations as well.