Giant Plasma Membrane Vesicles as Cellular‐Mimics for Probing SARS‐CoV‐2 Binding at Single Particle Level

Author:

Dey Manorama1,Dhanawat Garvita1,Gupta Divya2,Goel Ayush3,Harshan Krishnan H24,Parveen Nagma1ORCID

Affiliation:

1. Department of Chemistry Indian Institute of Technology Kanpur 208016 Kanpur India

2. CSIR-Centre for Cellular and Molecular Biology 500007 Hyderabad India

3. Department of Biological Sciences and Bioengineering Indian Institute of Technology Kanpur 208016 Kanpur India

4. Academy of Scientific and Innovative Research (AcSIR) Ghaziabad 201002 India

Abstract

AbstractMembrane receptors, attachment factors and various other membrane factors play a critical role in the specific attachment of virus particles to a cell surface. Researchers have been employing a range of model systems starting from receptor‐reconstituted lipid membranes to live cells for quantitative evaluation of virus‐receptor/attachment factor interactions. In this work, we show that giant plasma membrane vesicles (GPMVs) derived from adherent cells are a suitable cell‐mimicking model system to examine the binding of SARS‐CoV‐2 to cellular receptors. We evaluated the binding of cell‐cultured SARS‐CoV‐2 to GPMVs by imaging single virus particles with the wide‐field fluorescence microscopy technique. The GPMVs were derived from three different cell lines, i. e., Vero, HEK293T and A549. We compared the number of bound virus particles per cell, cell‐attached GPMV, and cell‐free GPMV of three different cell lines. We explain the observed trend in the data from the expression level of endogenous ACE2 protein and also, conclude that the protein is functional in GPMVs for virus and antibody binding.

Funder

Indian Institute of Technology Kanpur

Publisher

Wiley

Subject

General Chemistry

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3