Measuring ligand-cell surface receptor affinities with axial line-scanning fluorescence correlation spectroscopy

Abstract

Development and homeostasis of multicellular organisms is largely controlled by complex cell-cell signaling networks that rely on specific binding of secreted ligands to cell surface receptors. The Wnt signaling network, as an example, involves multiple ligands and receptors to elicit specific cellular responses. To understand the mechanisms of such a network, ligand-receptor interactions should be characterized quantitatively, ideally in live cells or tissues. Such measurements are possible using fluorescence microscopy yet challenging due to sample movement, low signal-to-background ratio and photobleaching. Here we present a robust approach based on fluorescence correlation spectroscopy with ultra-high speed axial line scanning, yielding precise equilibrium dissociation coefficients of interactions in the Wnt signaling pathway. Using CRISPR/Cas9 editing to endogenously tag receptors with fluorescent proteins, we demonstrate that the method delivers precise results even with low, near-native amounts of receptors.

Data availability

All data reported in the paper are included in the manuscript and/or supplementary Materials. Source data files have been provided for Figures 2, 5, 6 and 7.

Article and author information

Author details

  1. Antonia Franziska Eckert

    Institute of Applied Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany
    Competing interests
    The authors declare that no competing interests exist.
  2. Peng Gao

    Institute of Applied Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-5354-3944
  3. Janine Wesslowski

    Institute of Biological and Chemical Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany
    Competing interests
    The authors declare that no competing interests exist.
  4. Xianxian Wang

    Institute of Biological and Chemical Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany
    Competing interests
    The authors declare that no competing interests exist.
  5. Jasmijn Rath

    Institute of Applied Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany
    Competing interests
    The authors declare that no competing interests exist.
  6. Karin Nienhaus

    Institute of Applied Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany
    Competing interests
    The authors declare that no competing interests exist.
  7. Gary Davidson

    Institute of Biological and Chemical Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany
    For correspondence
    gary.davidson@kit.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2264-5518
  8. Gerd Ulrich Nienhaus

    Institute of Applied Physics, Karlsruhe Institute of Technology, Karlsruhe, Germany
    For correspondence
    uli@uiuc.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-5027-3192

Funding

Deutsche Forschungsgemeinschaft (SFB 1324,project A6,project Z2)

  • Gerd Ulrich Nienhaus

Deutsche Forschungsgemeinschaft (SFB 1324,project A6)

  • Gary Davidson

Helmholtz-Gemeinschaft (STN)

  • Gerd Ulrich Nienhaus

Helmholtz-Gemeinschaft (BIFTM)

  • Gary Davidson

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2020, Eckert et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 3,261
    views
  • 418
    downloads
  • 28
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Antonia Franziska Eckert
  2. Peng Gao
  3. Janine Wesslowski
  4. Xianxian Wang
  5. Jasmijn Rath
  6. Karin Nienhaus
  7. Gary Davidson
  8. Gerd Ulrich Nienhaus
(2020)
Measuring ligand-cell surface receptor affinities with axial line-scanning fluorescence correlation spectroscopy
eLife 9:e55286.
https://doi.org/10.7554/eLife.55286

Share this article

https://doi.org/10.7554/eLife.55286

Further reading

    1. Physics of Living Systems
    Tommaso Amico, Samuel Toluwanimi Dada ... Amos Maritan
    Research Article

    Many proteins have been recently shown to undergo a process of phase separation that leads to the formation of biomolecular condensates. Intriguingly, it has been observed that some of these proteins form dense droplets of sizeable dimensions already below the critical concentration, which is the concentration at which phase separation occurs. To understand this phenomenon, which is not readily compatible with classical nucleation theory, we investigated the properties of the droplet size distributions as a function of protein concentration. We found that these distributions can be described by a scale-invariant log-normal function with an average that increases progressively as the concentration approaches the critical concentration from below. The results of this scaling analysis suggest the existence of a universal behaviour independent of the sequences and structures of the proteins undergoing phase separation. While we refrain from proposing a theoretical model here, we suggest that any model of protein phase separation should predict the scaling exponents that we reported here from the fitting of experimental measurements of droplet size distributions. Furthermore, based on these observations, we show that it is possible to use the scale invariance to estimate the critical concentration for protein phase separation.

    1. Computational and Systems Biology
    2. Physics of Living Systems
    Ju Kang, Shijie Zhang ... Xin Wang
    Research Article

    Explaining biodiversity is a fundamental issue in ecology. A long-standing puzzle lies in the paradox of the plankton: many species of plankton feeding on a limited variety of resources coexist, apparently flouting the competitive exclusion principle (CEP), which holds that the number of predator (consumer) species cannot exceed that of the resources at a steady state. Here, we present a mechanistic model and demonstrate that intraspecific interference among the consumers enables a plethora of consumer species to coexist at constant population densities with only one or a handful of resource species. This facilitated biodiversity is resistant to stochasticity, either with the stochastic simulation algorithm or individual-based modeling. Our model naturally explains the classical experiments that invalidate the CEP, quantitatively illustrates the universal S-shaped pattern of the rank-abundance curves across a wide range of ecological communities, and can be broadly used to resolve the mystery of biodiversity in many natural ecosystems.