Determination of oligomeric states of proteins via dual-color colocalization with single molecule localization microscopy

  1. Hua Leonhard Tan
  2. Stefanie Bungert-Plümke
  3. Daniel Kortzak
  4. Christoph Fahlke
  5. Gabriel Stölting  Is a corresponding author
  1. Forschungszentrum Jülich, Germany
  2. Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Germany

Abstract

The oligomeric state of plasma membrane proteins is the result of the interactions between individual proteins and an important determinant of their function. Most approaches used to address this question rely on extracting these complexes from their native environment, which may disrupt weaker interactions. Therefore, microscopy techniques have been increasingly used in recent years to determine oligomeric states in situ. Classical light microscopy suffers from insufficient resolution, but super-resolution methods such as single molecule localization microscopy (SMLM) can circumvent this problem. When using SMLM to determine oligomeric states of proteins, subunits are labeled with fluorescent proteins that only emit light following activation or conversion at different wavelengths. Typically, individual molecules are counted based on a binomial distribution analysis of emission events detected within the same diffraction-limited volume. This strategy requires low background noise, a high recall rate for the fluorescent tag and intensive post-imaging data processing. To overcome these limitations, we developed a new method based on SMLM to determine the oligomeric state of plasma membrane proteins. Our dual-color colocalization (DCC) approach allows for accurate in situ counting even with low efficiencies of fluorescent protein detection. In addition, it is robust in the presence of background signals and does not require temporal clustering of localizations from individual proteins within the same diffraction limited volume, which greatly simplifies data acquisition and processing. We used DCC-SMLM to resolve the controversy surrounding the oligomeric state of two SLC26 multifunctional anion exchangers and to determine the oligomeric state of four members of the SLC17 family of organic anion transporters.

Data availability

The datasets including the extracted localization are available for download via https://doi.org/10.5281/zenodo.6012450. Raw video files can only be provided upon request due to their large file sizes. We implemented a version of DCC-SMLM as a python library on GitHub (https://www.github.com/GabStoelting/DCC-SMLM).

The following data sets were generated

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Author details

  1. Hua Leonhard Tan

    Institute of Biological Information Processing, Molecular and Cellular Physiology, Forschungszentrum Jülich, Jülich, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-3938-3454
  2. Stefanie Bungert-Plümke

    Institute of Biological Information Processing, Molecular and Cellular Physiology, Forschungszentrum Jülich, Jülich, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4650-3274
  3. Daniel Kortzak

    Institute of Biological Information Processing, Molecular and Cellular Physiology, Forschungszentrum Jülich, Jülich, Germany
    Competing interests
    The authors declare that no competing interests exist.
  4. Christoph Fahlke

    Institute of Biological Information Processing, Molecular and Cellular Physiology, Forschungszentrum Jülich, Jülich, Germany
    Competing interests
    The authors declare that no competing interests exist.
  5. Gabriel Stölting

    Center of Functional Genomics, Hypertension and Molecular Biology of Endocrine Tumors, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
    For correspondence
    gabriel.stoelting@bih-charite.de
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2339-0545

Funding

Deutsche Forschungsgemeinschaft (FA 301/15-1)

  • Christoph Fahlke

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

Copyright

© 2022, Tan 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.

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