OPINION article

Front. Bioinform., 15 December 2021

Sec. Computational BioImaging

Volume 1 - 2021 | https://doi.org/10.3389/fbinf.2021.801115

A Tribute to Professor Katharina Gaus

  • J. Heyrovsky Institute of Physical Chemistry of the Czech Academy of Sciences, Prague, Czechia

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“With new single-molecule tools, and our formidable team, the only limit to what we can achieve is our imagination.”

It is with great sadness that I report that Professor Dr. Katharina (Kat) Gaus, aged 48, passed away on March 3, 2021. She left with all her energy and enthusiasm, which she constantly devoted to us, her friends, and a broad spectrum of scientific questions. I would like to share with you some brief and personal memories of Katharina Gaus.

I met Kat in Sydney in 2011. She had invited me to stay for 1 month in her lab to learn about single-molecule localization microscopy (SMLM), a modern super-resolution microscopy technique that was already well-established in her laboratory a mere 6 years after appearing in the literature, demonstrating the beauty of biological imaging beyond the diffraction limit. Commercial super-resolution microscopes had just appeared on the market. Her young and productive team was already extensively using SMLM to characterise molecular processes associated with the activation of T lymphocytes (Williamson et al., 2011; Rossy et al., 2013). They were among the very few laboratories that had managed to employ super-resolution microscopy to address key biological questions in such a short time. In fact, this was a typical feature of Kat’s research. She was one of those bold thinkers, who kept bringing new (imaging) technologies into a number of fields, such as immunology, cell biology and virology, to name just a few. To illustrate the impact of Kat’s drive for new technologies, I will mention the two main directions of her research: plasma membrane biophysics and the organisation of signalling molecules on T cells.

Laurdan, a fluorescent membrane probe that is able to sense changes in its environment, was only sparsely used in the community of biophysicists studying synthetic lipid bilayers when Kat harnessed its properties to measure the physical heterogeneity of cellular membranes (Gaus et al., 2003; Gaus et al., 2006). Although the results have been later superseded, Kat and her colleagues continued to improve the Laurdan imaging technology, and the current images certainly are impressive (Ma et al., 2018). Similarly, she pioneered the use of statistical analysis designed for geoinformation studies to characterise surface topography of key players involved in the activation of immune cells (Williamson et al., 2011; Rossy et al., 2013). Cluster analysis used in these early SMLM studies seems a little outdated now and is limited to certain shapes and density levels, but Kat’s team together with her alumni students kept developing more appropriate and advanced cluster analysis methods to achieve more precise information about processes in immune cells (Pageon et al., 2016; Griffié et al., 2017; Hinde et al., 2017; Williamson et al., 2020). Such a continuous effort to improve available technologies underlines Kat’s dedication to advancing the field while delivering excellent science.

Looking back at her publication history and her current team, it is apparent how Kat was able to attract great talent to her laboratory. She built a lab with a mix of biologists, chemists, and physicists at just the right ratio to attack, thanks to this scientific and cultural mixture, important unresolved questions that required unconventional approach(es). This led to several great discoveries and technological improvements, which will serve the community for many years to follow. To highlight contributions to the field of SMLM, it is especially noteworthy how Kat’s team adapted this technique for the quantitative analysis of receptor stoichiometry (Baker et al., 2019), the measurements of intermolecular distances (Coelho et al., 2020), the three-dimensional distribution of molecules (Coelho et al., 2021) and diffusional analysis (Hilzenrat et al., 2020). In collaboration with her partner’s group (Prof. Justin Gooding), they developed a variety of nanostructures for functional and super-resolution imaging and contributed to the application of “click chemistry” in SMLM (Laxman et al., 2021). And I have probably forgotten to refer to several other improvements to this field. However, this long list emphasizes the special position of Kat Gaus in the hearts of microscopists, especially those studying surface molecules on lymphocytes like me. I would like to finish by mentioning that I have never seen Kat frowning. She kept smiling constantly, at least in my presence. I hope that many of you have similar memories. She will be missed, certainly by her collaborators, and the microscopy and SMLM community.

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The author confirms being the sole contributor of this work and has approved it for publication.

Conflict of interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

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    BakerM. A. B.NievesD. J.HilzenratG.BerengutJ. F.GausK.LeeL. K. (2019). Stoichiometric Quantification of Spatially Dense Assemblies with qPAINT. Nanoscale11, 1246012464. 10.1039/c9nr00472f

  • 2

    CoelhoS,BaekJ,WalshJ,GoodingJ. J.GausK. (2021). 3D Active Stabilization for Single-Molecule Imaging. Nat. Protoc.16, 497515. 10.1038/s41596-020-00426-9

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    CoelhoS.BaekJ.GrausM. S.HalsteadJ. M.NicovichP. R.FeherK.et al (2020). Ultraprecise Single-Molecule Localization Microscopy Enables In Situ Distance Measurements in Intact Cells. Sci. Adv.6, eaay8271. 10.1126/sciadv.aay8271

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    GausK.GrattonE.KableE. P.JonesA. S.GelissenI.KritharidesL.et al (2003). Visualizing Lipid Structure and Raft Domains in Living Cells with Two-Photon Microscopy. Proc. Natl. Acad. Sci. U S A.100, 1555415559. 10.1073/pnas.2534386100

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    GausK.Le LayS.BalasubramanianN.SchwartzM. A. (2006). Integrin-mediated Adhesion Regulates Membrane Order. J. Cel Biol174, 725734. 10.1083/jcb.200603034

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    GriffiéJ.ShlomovichL.WilliamsonD. J.ShannonM.AaronJ.KhuonS.et al (2017). 3D Bayesian Cluster Analysis of Super-resolution Data Reveals LAT Recruitment to the T Cell Synapse. Sci. Rep.7, 4077. 10.1038/s41598-017-04450-w

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    HilzenratG.PandžićE.YangZ.NievesD. J.GoyetteJ.RossyJ.et al (2020). Conformational States Control Lck Switching between Free and Confined Diffusion Modes in T Cells. Biophys. J.118, 14891501. 10.1016/j.bpj.2020.01.041

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    HindeE.ThammasiraphopK.DuongH. T.YeowJ.KaragozB.BoyerC.et al (2017). Pair Correlation Microscopy Reveals the Role of Nanoparticle Shape in Intracellular Transport and Site of Drug Release. Nat. Nanotechnol12, 8189. 10.1038/nnano.2016.160

  • 9

    LaxmanP.AnsariS.GausK.GoyetteJ. (2021). The Benefits of Unnatural Amino Acid Incorporation as Protein Labels for Single Molecule Localization Microscopy. Front. Chem.9, 641355. 10.3389/fchem.2021.641355

  • 10

    MaY.BendaA.KwiatekJ.OwenD. M.GausK. (2018). Time-Resolved Laurdan Fluorescence Reveals Insights into Membrane Viscosity and Hydration Levels. Biophys. J.115, 14981508. 10.1016/j.bpj.2018.08.041

  • 11

    PageonS. V.NicovichP. R.MollazadeM.TabarinT.GausK. (2016). Clus-DoC: a Combined Cluster Detection and Colocalization Analysis for Single-Molecule Localization Microscopy Data. Mol. Biol. Cel27, 36273636. 10.1091/mbc.E16-07-0478

  • 12

    RossyJ.OwenD. M.WilliamsonD. J.YangZ.GausK. (2013). Conformational States of the Kinase Lck Regulate Clustering in Early T Cell Signaling. Nat. Immunol.14, 8289. 10.1038/ni.2488

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    WilliamsonD. J.BurnG. L.SimoncelliS.GriffiéJ.PetersR.DavisD. M.et al (2020). Machine Learning for Cluster Analysis of Localization Microscopy Data. Nat. Commun.11, 1493. 10.1038/s41467-020-15293-x

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    WilliamsonD. J.OwenD. M.RossyJ.MagenauA.WehrmannM.GoodingJ. J.et al (2011). Pre-existing Clusters of the Adaptor Lat Do Not Participate in Early T Cell Signaling Events. Nat. Immunol.12, 655662. 10.1038/ni.2049

Summary

Keywords

tribute, single molecule localisation microscopy, Laurdan, cluster analysis, membrane biophysics

Citation

Cebecauer M (2021) A Tribute to Professor Katharina Gaus. Front. Bioinform. 1:801115. doi: 10.3389/fbinf.2021.801115

Received

24 October 2021

Accepted

09 November 2021

Published

15 December 2021

Volume

1 - 2021

Edited by

Thomas Pengo, University of Minnesota Twin Cities, United States

Reviewed by

Ricardo Henriques, University College London, United Kingdom

Updates

Copyright

*Correspondence: Marek Cebecauer,

This article was submitted to Computational BioImaging, a section of the journal Frontiers in Bioinformatics

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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