Biology subjects

Tschanz, A.

Publications and source records attributed to Tschanz, A..

6 recordsLinked to original sources

bioRxiv2026

Phosphoregulation of hierarchical protein condensate formation during clathrin-mediated endocytosis

The sequential assembly of over 50 proteins during clathrin-mediated endocytosis (CME) is well documented in yeast. However, the mechanisms governing this ordered recruitment remain poorly understood. Biomolecular condensation is proposed to orchestrate CME, but defining biophysical parameters in vivo remains challenging. Here, we developed a quantitative in vivo titration strategy to systematically determine CME protein assembly profiles. Beyond the previously reported Ede1 (yeast Eps15), seven additional proteins formed enlarged, concentration-dependent assemblies with distinct biophysical properties. Single-cell profiling revealed two biophysical classes among these eight proteins: homeostatic buffers with defined saturation boundaries and continuous assemblers that scale linearly. Acting as scaffolds and clients, these conserved proteins form an interconnected network of kinases, phosphatase recruiters, and substrates. Within this network, reversible phosphorylation modulates assembly stability to drive recruitment transitions. Collectively, this work establishes a two-stage model of protein condensation that drives CME progression from initiation to maturation and offers a general framework for how protein phosphorylation dynamically modulates biomolecular condensation in vivo.

cell biology↗

bioRxiv2023

Automated 3D multi-color single-molecule localization microscopy

Since its inception, single molecule localization microscopy (SMLM) has enabled imaging scientists to visualize biological structures with unprecedented resolution. Particularly powerful implementations capable of 3D, multi-color and high-throughput imaging have yielded key biological insights although widespread access to such technologies has been limited. The purpose of this protocol is to provide a guide for interested researchers to establish high-end SMLM in their laboratories. We detail the initial configuration and subsequent assembly of the SMLM, including instructions for alignment of all optical pathways, software/hardware integration and operation of the instrument. We describe validation steps including the preparation and imaging of test- and biological samples with structures of well-defined geometry and assist the user in troubleshooting and benchmarking performance. Additionally, we provide a walkthrough of the reconstruction of a super-resolved dataset from acquired raw images using the Super-resolution Microscopy Analysis Platform (SMAP). Depending on the instrument configuration, the cost of components is in the range $80,000 - 160,000, a fraction of the cost of a commercial instrument. A builder with some experience of optical systems is expected to require 3 - 6 months from the start of system construction to attain high-quality 3D and multi-color biological images.

biophysics↗

bioRxiv2021

Superresolution microscopy reveals partial preassembly and subsequent bending of the clathrin coat during endocytosis

Eukaryotic cells use clathrin-mediated endocytosis to take up a large range of extracellular cargos. During endocytosis, a clathrin coat forms on the plasma membrane, but it remains controversial when and how it is remodeled into a spherical vesicle. Here, we use 3D superresolution microscopy to determine the precise geometry of the clathrin coat at large numbers of endocytic sites. Through pseudo-temporal sorting, we determine the average trajectory of clathrin remodeling during endocytosis. We find that clathrin coats assemble first on flat membranes to 50% of the coat area, before they become rapidly and continuously bent, and confirm this mechanism in three cell lines. We introduce the cooperative curvature model, which is based on positive feedback for curvature generation. It accurately describes the measured shapes and dynamics of the clathrin coat and could represent a general mechanism for clathrin coat remodeling on the plasma membrane.

cell biology↗

bioRxiv2021

Maximum-likelihood model fitting for quantitative analysis of SMLM data

Quantitative analysis is an important part of any single-molecule localization microscopy (SMLM) data analysis workflow to extract biological insights from the coordinates of the single fluorophores, but current approaches are restricted to simple geometries or do not work on heterogenous structures. Here, we present LocMoFit (Localization Model Fit), an open-source framework to fit an arbitrary model directly to the localization coordinates in SMLM data. Using maximum likelihood estimation, this tool extracts the most likely parameters for a given model that best describe the data, and can select the most likely model from alternative models. We demonstrate the versatility of LocMoFit by measuring precise dimensions of the nuclear pore complex and microtubules. We also use LocMoFit to assemble static and dynamic multi-color protein density maps from thousands of snapshots. In case an underlying geometry cannot be postulated, LocMoFit can perform single-particle averaging of super-resolution structures without any assumption about geometry or symmetry. We provide extensive simulation and visualization routines to validate the robustness of LocMoFit and tutorials based on example data to enable any user to increase the information content they can extract from their SMLM data.

biophysics↗

bioRxiv2021

Systematic Tuning of Rhodamine Spirocyclization for Super-Resolution Microscopy

Rhodamines are the most important class of fluorophores for applications in live-cell fluorescence microscopy. This is mainly because rhodamines exist in a dynamic equilibrium between a fluorescent zwitterion and a non-fluorescent but cell-permeable spirocyclic form. Different imaging applications require different positions of this dynamic equilibrium, which poses a challenge for the design of suitable probes. We describe here how the conversion of the ortho-carboxy moiety of a given rhodamine into substituted acyl benzenesulfonamides and alkylamides permits the systematic tuning of the equilibrium of spirocyclization with unprecedented accuracy and over a large range. This allows to transform the same rhodamine into either a highly fluorogenic and cell-permeable probe for live-cell stimulated emission depletion (STED) microscopy, or into a spontaneously blinking dye for single molecule localization microscopy (SMLM). We used this approach to generate differently colored probes optimized for different labeling systems and imaging applications.

cell biology↗

bioRxiv2021

Photon-free (s)CMOS camera characterization for artifact reduction in high- and super-resolution microscopy

Modern implementations of widefield fluorescence microscopy often rely on sCMOS cameras, but this camera architecture inherently features pixel-to-pixel variations. Such variations lead to image artifacts and render quantitative image interpretation difficult. Although a variety of algorithmic corrections exists, they require a thorough characterization of the camera, which typically is not easy to access or perform. Here, we developed a fully automated pipeline for camera characterization based solely on thermally generated signal, and implemented it in the popular open-source software Micro-Manager and ImageJ/Fiji. Besides supplying the conventional camera maps of noise, offset and gain, our pipeline also gives access to dark current and thermal noise as functions of the exposure time. This allowed us to avoid structural bias in single-molecule localization microscopy (SMLM), which without correction is substantial even for scientific-grade, cooled cameras. In addition, our approach enables high-quality 3D super-resolution as well as live-cell time-lapse microscopy with cheap, industry-grade cameras. As our approach for camera characterization does not require any user interventions or additional hardware implementations, numerous correction algorithms demanding camera characterization become easily applicable.

biophysics↗