Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Engineered molecular sensors of cell surface crowding

View ORCID ProfileSho C. Takatori, Sungmin Son, Daniel Lee, View ORCID ProfileDaniel A. Fletcher
doi: https://doi.org/10.1101/2022.11.18.517164
Sho C. Takatori
aDepartment of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
eDepartment of Chemical Engineering, University of California, Santa Barbara, Santa Barbara, CA 93106, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Sho C. Takatori
  • For correspondence: stakatori@ucsb.edu smson@kaist.ac.kr fletch@berkeley.edu
Sungmin Son
aDepartment of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
fDepartment of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: stakatori@ucsb.edu smson@kaist.ac.kr fletch@berkeley.edu
Daniel Lee
aDepartment of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Daniel A. Fletcher
aDepartment of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
bUC Berkeley/UC San Francisco Graduate Group in Bioengineering, Berkeley, CA 94720, USA
cDivision of Biological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
dChan Zuckerberg Biohub, San Francisco, CA 94158, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Daniel A. Fletcher
  • For correspondence: stakatori@ucsb.edu smson@kaist.ac.kr fletch@berkeley.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

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 2-20 fold in live cells compared to a bare membrane surface, resulting in a cell surface osmotic pressure opposing binding of 1 - 4 kPa. 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 osmotic pressure may be combined with functional assays to enable further biophysical dissection of the cell surfaceome.

Significance Statement Cells interact with each other and the extracellular environment through a crowded assembly of polymers on their plasma membranes. The high density of these surface polymers can generate physical crowding that impacts cell function. However, tools to quantify the extent and effect of surface crowding on live cell membranes are lacking. In this work, we design macromolecular sensors that act as direct reporters of cell surface crowding. We combine experiments on reconstituted and live cell surfaces with molecular dynamics simulations to provide a mechanistic understanding of how cell surface crowding reduces binding of soluble molecules, and we show that crowding varies significantly with cell type and is affected by oncogene expression.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted November 20, 2022.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Engineered molecular sensors of cell surface crowding
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Engineered molecular sensors of cell surface crowding
Sho C. Takatori, Sungmin Son, Daniel Lee, Daniel A. Fletcher
bioRxiv 2022.11.18.517164; doi: https://doi.org/10.1101/2022.11.18.517164
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Engineered molecular sensors of cell surface crowding
Sho C. Takatori, Sungmin Son, Daniel Lee, Daniel A. Fletcher
bioRxiv 2022.11.18.517164; doi: https://doi.org/10.1101/2022.11.18.517164

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Biophysics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4095)
  • Biochemistry (8793)
  • Bioengineering (6495)
  • Bioinformatics (23406)
  • Biophysics (11769)
  • Cancer Biology (9173)
  • Cell Biology (13304)
  • Clinical Trials (138)
  • Developmental Biology (7426)
  • Ecology (11392)
  • Epidemiology (2066)
  • Evolutionary Biology (15127)
  • Genetics (10419)
  • Genomics (14029)
  • Immunology (9154)
  • Microbiology (22132)
  • Molecular Biology (8797)
  • Neuroscience (47470)
  • Paleontology (350)
  • Pathology (1423)
  • Pharmacology and Toxicology (2486)
  • Physiology (3712)
  • Plant Biology (8073)
  • Scientific Communication and Education (1434)
  • Synthetic Biology (2217)
  • Systems Biology (6023)
  • Zoology (1251)