Biology subjects

Pertz, O.

Publications and source records attributed to Pertz, O..

At least 19 recordsLinked to original sources

bioRxiv2025

Optogenetic SH3 nanoclustering of SRC and HCK uncovers the functional specificity of these redundant kinases in macrophages.

Understanding redundancy among Src Family Kinases (SFKs) challenges how cells achieve signaling specificity using closely related enzymes, and paves the way to revisit a basic property of any cell signaling network. Optogenetic control of the adaptor properties of the most redundant SFK members, SRC and HCK, was used to examine their potential specificity in macrophages. Uncoupling their kinase and adaptor functions uncovers an unique mechanism driven by oligomerized- and SH3-dependent specific binding that enables inducing distinct signaling outputs for each kinase. OptoSRC and optoHCK probes revealed that SRC and HCK can trigger specific cellular responses, despite only supposed overlapping functions. The specificity of optoHCK even unveils a novel role in activating polarized clathrin hotspots essential for directional migration. Redundancy could be rebuilt within optoHCK through stepwise optogenetic reconstruction of adaptor modules revealing the essential role of both membrane anchoring and SH2-domain. This deconstructive approach of SFK activation elucidated the molecular basis of their shared and unique signaling activities and supports a model of cooperative functional entanglement between SFK members, rather than simple redundancy.

cell biology↗

bioRxiv2025

Smart Microscopy: Current Implementations and a Roadmap for Interoperability

Smart microscopy is transforming life sciences by automating experimental imaging workflows and enabling real-time adaptation based on feedback from images and other data streams. This shift increases throughput, improves reproducibility, and expands the functional capabilities of microscopes. However, the current landscape is highly fragmented. Academic researchers often develop custom solutions for specific scientific needs, while industry offerings are typically proprietary and tied to specific hardware. This diversity, while fostering innovation, also creates major challenges in interoperability, reproducibility, and standardization, which slows progress and adaption. This article presents a collaborative effort between academic and industry leaders to survey the current state of smart microscopy, highlight representative implementations, and identify common technical and organizational barriers. We propose a framework for greater interoperability based on shared standards, modular software design, and community-driven development. Our goal is to support collaboration across the field and lay the groundwork for a more connected, reusable, and accessible smart microscopy ecosystem. We conclude with a call to action for researchers, hardware developers, and institutions to join in building an open, interoperable foundation that will unlock the full potential of smart microscopy in life science research.

cell biology↗

bioRxiv2025

Real-time feedback control microscopy for automation of optogenetic targeting

Optogenetics has revolutionized our ability to study cellular signaling by enabling the precise control of cellular functions with light. Most classical implementations rely on fixed or manually updated illumination patterns, limiting their ability to accommodate living systems that move, change shape or rapidly adapt their signaling states. Here, we present an experimental platform for Feedback Adaptive Real-time Optogenetics (FARO) that combines automated image segmentation, tracking, feature extraction, and adaptive hardware control to dynamically adjust optogenetic stimulation based on live cell behavior. By continuously analyzing biosensor signals, FARO updates illumination patterns in real time across biological scales; from maintaining stimulation on specific subcellular regions, to selectively activating single cells in deforming tissue. This fully automated, Python-based framework is built on open standards for data management and microscope control and data handling, supporting large-scale experiments and long-term timelapse studies, compatible with different microscope hardware. Eliminating the need for human intervention to reposition light patterns or select target cells enables reproducible, systematic and high-throughput interrogation of spatiotemporal signaling. We show how automated and adaptive optogenetic perturbations are a powerful tool to study how local signaling events shape cellular behavior, from subcellular dynamics and single-cell migration up to emergent tissue-level processes.

cell biology↗

bioRxiv2025

Interplay between Rac1/RhoA and actin waves in giant epithelial cells : experiment and theory

The acto-myosin cytoskeleton is a key driver of cellular shape changes in vivo and in vitro. Acto-myosin organization results from actin assembly and interactions between actin and myosin, which are both regulated by small Rho GTPases like Rac1 and RhoA. To uncover principles governing cytoskeletal organization, we analyzed actin patterns using live microscopy and theory. In giant Madin-Darby Canine Kidney (MDCK) epithelial cells and REF52 fibroblasts, we observed acto-myosin stress fibres and propagating waves. Stress fibres were stationary and correlated with homogeneous distributions of Rac and RhoA activity. Waves propagated at {approx} 1m/min and were associated with density variations of actin, Rac and active RhoA. Some waves transported cellular components or generated protrusions at the cell edge. Essential features of wave propagation are captured by a polar reaction-diffusion system for actin and Rac. Notably, two colliding waves annihilate each other. In cells, myosin activity was not required for the emergence of waves, but tended to suppress them. Consistently, local activation of RhoA slowed down or stopped and broke waves. These results highlight how the coupling between acto-myosin and Rho GTPase generates a variety of cytoskeletal structures and dynamics. O_TEXTBOXSIGNIFICANCEThe cytoskeleton shapes cells in vitro and in vivo. Its molecular mechanisms have been extensively documented, but the mesoscopic structures resulting from the interplay between the activator and the motor activity have been poorly characterized. Here we show that two structures are conserved in two systems, stress fibres with RhoA activity and diffusion actin waves regulated by Rac1. The annihilation of waves and the alteration of the wave dynamics are reproduced by a minimal model based on a polar reaction-diffusion model. This approach could pave the way to a generic description of regulated active gels in cells with potential biological functions, such as stress generation for fibres and probing of space and homogenization of the cortex by actin waves. C_TEXTBOX

biophysics↗

bioRxiv2025

Tracking Coordinated Cellular Dynamics in Time-Lapse Microscopy with ARCOS.px

Subcellular structures like actin waves, podosomes and focal adhesions exhibit dynamic organization that traditional tracking methods struggle to capture. We developed ARCOS.px, an open-source Python package with an interactive napari plugin, to identify and track spatial clusters in microscopy time-lapse images. Unlike conventional approaches that focus on individual particles or bulk intensity changes, ARCOS.px tracks spatial relationships, coordination, and lineage evolution over time. We demonstrate the method by tracking podosome-like structures and RhoA activity waves triggered by growth factors or optogenetics. We revealed how various drugs affect the stability, mobility, and interactions of podosome-like structures in REF52 cells. Additionally, we discovered that actin waves in these cells are followed by active RhoA and Myosin, suggesting feedback mechanisms that recruit active RhoA at their trailing edge. ARCOS.px can be applied to diverse research contexts requiring the tracking of discontinuous yet dynamically associated regions.

cell biology↗

bioRxiv2025

Teach your microscope how to print: Low-cost and rapid-iteration microfabrication for biology

The application of traditional microfabrication techniques to biological research is hindered by their reliance on clean rooms, expensive or toxic materials, and slow iteration cycles. We present an accessible microfabrication workflow that addresses these challenges by integrating consumer 3D printing techniques and repurposing standard fluorescence microscopes equipped with DMDs for maskless photolithography. Our method achieves micrometer-scale precision across centimeter-sized areas without clean room infrastructure, using affordable and readily available consumables. We demonstrate the versatility of this approach through four biological applications: inducing cytoskeletal protrusions via 1 m-resolution surface topographies; micropatterning to standardize cell and tissue morphology; fabricating multilayer microfluidic devices for confined cell migration studies; imprinting agar chambers for long-time tracking of C. elegans. Our protocol drastically reduces material costs compared to conventional methods and enables design-to-device turnaround within a day. By leveraging open-source microscope control software and existing lab equipment, our workflow lowers the entry barrier to micro-fabrication, enabling labs to prototype custom solutions for diverse experimental needs while maintaining compatibility with soft lithography and downstream biological assays.

cell biology↗

bioRxiv2024

Convpaint - Universal framework for interactive pixel classification using pretrained neural networks

We develop Convpaint, a universal computational framework for interactive pixel classification. Convpaint utilizes pretrained convolutional neural networks (CNNs) or vision transformers (ViTs) for feature extraction and enables easy segmentation across a wide variety of tasks. Available within the Python-based napari software ecosystem, Convpaint integrates seamlessly with other plugins into image processing pipelines, which we demonstrate with three workflows across different data modalities.

bioinformatics↗

bioRxiv2024

Myosin cluster dynamics determines epithelial wound ring constriction

Collection of myosin motors and actin filaments can self-assemble into submicrometric clusters under the regulation of RhoA. Emergent dynamics of these clusters have been reported in a variety of morphogenetic systems, ranging from Drosophila to acto-myosin assays in vitro. In single cell cytokinetic rings, acto-myosin clusters are associated with stress generation when radial and transport when tangential with respect to the ring closure. Here, we show that these phenomena hold true for acto-myosin multi-cellular rings during wound closure in epithelial monolayers. We assessed the activity of RhoA using FRET sensors, and we report that cluster dynamics does not correlate with RhoA activity. Nevertheless, we show that bursts of RhoA activation precede recruitment of myosin. Altogether myosin clusters dynamics is conserved between single and multi-cellular systems and this suggests that they could be used as generic read-outs for mapping and predicting stress generation and shape changes in morphogenesis.

biophysics↗

bioRxiv2024

Feedback regulation by the RhoA-specific GEF ARHGEF17 regulates actomyosin network disassembly

We report that the RhoA-specific guanine nucleotide exchange factor ARHGEF17 localizes at the back of a fibroblasts contractile lamella and regulates its disassembly. This localization emerges through retrograde ARHGEF17 transport together with actomyosin flow that most likely involves interactions with ATP-actin at F-actin barbed ends. During this process, ARHGEF17 increasingly oligomerizes into clusters that co-localize with myosin filaments, and correlate with their disassembly at lamellas distal edge. ARHGEF17 loss of function leads to decreased RhoA activity at the lamella back and impairs its disassembly. High RhoA activity is however maintained at the lamella front where phosphorylated myosin light chain is observed. We propose that the low contractile, disassembling actomyosin network at the lamella back generates barbed ends leading to ATP-actin production, and ARHGEF17 binding. This then locally activates RhoA-dependent contractility, ensuring robust lamella disassembly through fracturing rather than re-inforcement. ARHGEF17 exemplifies the spatio-temporal complexity of Rho GTPase signaling and the requirement of feedback mechanism for homeostasis of contractile actomyosin networks.

cell biology↗

bioRxiv2023

GTPase activating protein DLC1 spatio-temporally regulates Rho signaling

Tightly regulated spatio-temporal Rho GTPase activity patterns regulate morphogenetic processes such as cell migration. Emerging evidence suggests that binding of Guanine nucleotide exchange factors (GEFs) and GTPase activating proteins (GAPs) to the cytoskeleton or adhesions mediate feedback regulation to spatio-temporal Rho GTPase activation. To explore such feedback regulation, we study the Rho specific GAP Deleted in Liver Cancer 1 (DLC1) which binds to focal adhesions (FAs) through mechanosensitive interactions. Using a FRET biosensor, we show that DLC1 loss of function leads to global increase in Rho activity and contractility throughout the cell without affecting a striking lamellar RhoA activity band in fibroblasts. Although RhoA activity may appear steady at the population level, individual molecules are continually activated by GEFs, inactivated by GAPs, and diffusing between subcellular regions, a dynamic turnover referred to as "signaling flux". To directly measure this flux, we built a genetic circuit combining an optogenetic actuator to control Rho activity with a Rho activity biosensor. In spreading cells at steady state, optogenetic manipulation of Rho activity reveals that DLC1 controls the rate of Rho activation rather than duration, both at FAs and at the plasma membrane (PM). Local and reversible optogenetic control of contractility shows that DLC1 associates/dissociates with FAs during their reinforcement/relaxation. This might provide positive feedback that locally increases the rate of Rho activation at FAs that experience local tension to facilitate FA disassembly. Our results indicate that DLC1 operates both at the PM and at FAs to regulate global Rho activity levels at steady state, or to amplify local Rho activity at FAs experiencing a strong mechanical input, presumably to induce robust FA disassembly. This provides new insights in the complexity of spatio-temporal Rho GTPase signaling.

cell biology↗

bioRxiv2023

Dual spatio-temporal regulation of axon growth and microtubule dynamics by RhoA signaling pathways

RhoA plays a crucial role in neuronal polarization, where its action restraining axon outgrowth has been thoroughly studied. We now report that RhoA has not only inhibitory but also a stimulatory effect on axon development depending on when and where exerts its action and the downstream effectors involved. In cultured hippocampal neurons, FRET imaging revealed that RhoA activity selectively localizes in growth cones of undifferentiated neurites, while in developing axons it displays a biphasic pattern, being low in nascent axons and high in elongating ones. RhoA-Rho kinase (ROCK) signaling prevents axon initiation but has no effect on elongation, while formin inhibition reduces axon extension without significantly altering initial outgrowth. Besides, RhoA-mDia promotes axon elongation by stimulating growth cone microtubule stability and assembly, as opposed to RhoA-ROCK that restrains growth cone microtubule assembly and protrusion. Finally, we show that similar mechanisms might operate during axonal regeneration, with RhoA-ROCK slowing axon regrowth after axotomy and RhoA-mDia favoring extension of regenerated axons.

neuroscience↗

bioRxiv2022

Polarity-driven three-dimensional spontaneous rotation of a cell doublet

Cell mechanical interactions play a fundamental role in the self-organisation of organisms. How these interactions drive coordinated cell movement in three-dimensions remains unclear. Here we report that cell doublets embedded in a 3D extracellular matrix undergo spontaneous rotations and we investigate the rotation mechanism using live cell imaging, quantitative measurements, mechanical perturbations, and theory. We find that rotation is driven by a polarized distribution of myosin within cell cortices. The mismatched orientation of this polarized distribution breaks the doublet mirror symmetry. In addition, cells adhere at their interface through adherens junctions and with the extracellular matrix through focal contacts near myosin clusters. Using a physical theory describing the doublet as two interacting active surfaces, we find that rotation is driven by myosin-generated gradients of active tension, whose profiles are dictated by interacting cell polarity axes. We show that interface three-dimensional shapes can be understood from the Curie principle: shapes symmetries are related to broken symmetries of myosin distribution in cortices. To test for the rotation mechanism, we suppress myosin clusters using laser ablation and we generate new myosin clusters by optogenetics. Our work clarifies how polarity-oriented active mechanical forces drive collective cell motion in three dimensions.

biophysics↗

bioRxiv2022

ADeS: a deep learning based Apoptosis Detection System for live cell imaging.

Intravital microscopy has revolutionized live cell imaging by allowing the study of spatial-temporal cell dynamics in living animals. However, the complexity of the data generated by this technology has limited the development of effective computational tools to identify and quantify cell processes. Amongst them, apoptosis is a crucial form of regulated cell death involved in tissue homeostasis and host defense. Live-cell imaging enabled the study of apoptosis at the cellular level, enhancing our understanding of its spatial-temporal regulation. However, at present, no computational method can deliver robust detection of apoptosis in microscopy time-lapses. To overcome this limitation, we developed ADeS, a deep learning-based apoptosis detection system that employs the principle of activity recognition. We trained ADeS on extensive datasets containing more than 10,000 apoptotic instances collected both in vitro and in vivo, achieving a classification accuracy above 98% and outperforming state-of-the-art solutions. ADeS is the first method capable of detecting the location and duration of multiple apoptotic events in full microscopy time-lapses, surpassing human performance in the same task. We demonstrated the effectiveness and robustness of ADeS across various imaging modalities, cell types, and staining techniques. Finally, we employed ADeS to quantify cell survival in vitro and tissue damage in vivo, demonstrating its potential application in toxicity assays, treatment evaluation, and inflammatory dynamics. Our findings suggest that ADeS is a valuable tool for the accurate detection and quantification of apoptosis in live-cell imaging and, in particular, intravital microscopy data, providing insights into the complex spatial-temporal regulation of this process.

bioinformatics↗

bioRxiv2022

Automatic detection of spatio-temporal signalling patterns in cell collectives

An increasing experimental evidence points to physiological importance of space-time correlations in signalling of cell collectives. From wound healing to epithelial homeostasis to morphogenesis, coordinated activation of bio-molecules between cells allows the collectives to perform more complex tasks and better tackle environmental challenges. To understand this information exchange and to advance new theories of emergent phenomena, we created ARCOS, a computational method to detect and quantify collective signalling. We demonstrate ARCOS on cell and organism collectives with space-time correlations on different scales in 2D and 3D. We make a new observation that oncogenic mutations in the MAPK/ERK and PIK3CA/Akt pathways of MCF10A epithelial cells induce ERK activity waves with different size, duration, and frequency. The open-source implementations of ARCOS are available as R and Python packages, and as a plugin for napari image viewer to interactively quantify collective phenomena without prior programming experience.

cell biology↗

bioRxiv2022

The rate of information transmission through the MAPK/ERKsignaling pathway stimulated in a pulsatile manner

Living cells utilize signaling pathways to sense, transduce, and process information. As the extracellular stimulation often has rich temporal characteristics which may govern dynamic cellular responses, it is important to quantify the rate of information flow through the signaling pathways. In this study, we used an epithelial cell line expressing a light-activatable FGF receptor and an ERK activity reporter to assess the ability of the MAPK/ERK pathway to transduce signal encoded in a sequence of pulses. By stimulating the cells with random light pulse trains, we demonstrated that the MAPK/ERK channel capacity is at least 6 bits per hour. The input reconstruction algorithm detects the light pulses with 1-min accuracy 5 min after their occurrence. The high information transmission rate may enable the pathway to coordinate multiple processes including cell movement and respond to rapidly varying stimuli such as chemoattracting gradients created by other cells. Author summaryTo respond to external stimulation, living cells need to transfer information from membrane receptors to downstream proteins that regulate physiological outcomes. In this study we used cells expressing a light-activatable receptor that transmits signals to MAPK/ERK transduction pathway, which regulates numerous physiological processes including proliferation, differentiation and cell motility. By stimulating these cells with various sequences of short light pulses we found that ERK, the last component of the considered signal transduction pathway, may receive at least 6 bits per hour. This bitrate allows 6 binary decisions per hour, enabling rapid responses to varied extracellular stimuli.

systems biology↗

bioRxiv2022

LITOS - a versatile LED illumination tool for optogenetic stimulation

Optogenetics has become a key tool to manipulate biological processes with high spatio-temporal resolution. Recently, a number of commercial and open-source multi-well illumination devices have been developed to provide throughput in optogenetics experiments. However, available commercial devices remain expensive and lack flexibility, while open-source solutions require programming knowledge and/or include complex assembly processes. We present a LED Illumination Tool for Optogenetic Stimulation (LITOS) based on an assembled printed circuit board controlling a commercially available 32x64 LED matrix as illumination source. LITOS can be quickly assembled without any soldering, and includes an easy-to-use interface, accessible via a website hosted on the device itself. Complex light stimulation patterns can easily be programmed without coding expertise. LITOS can be used with different formats of multi-well plates, petri dishes, and flasks. We validated LITOS by measuring the activity of the MAPK/ERK signaling pathway in response to different dynamic light stimulation regimes using FGFR1 and Raf optogenetic actuators. LITOS can uniformly stimulate all the cells in a well and allows for flexible temporal stimulation schemes. LITOSs ease of use aims at democratizing optogenetics in any laboratory.

cell biology↗

bioRxiv2021

Spontaneous rotations in epithelia as an interplay between cell polarity and RhoA activity at boundaries.

Directed flows of cells in vivo are essential in morphogenesis. They shape living matter in phenomena involving cell mechanics and regulations of the acto-myosin cytoskeleton. However the onset of coherent motion is still poorly understood. Here we show that coherence is associated with spontaneous alignments of cell polarity by designing cellular rings of controlled dimensions. A tug-of-war between polarities dictates the onset of coherence, as assessed by tracking live cellular shapes and motions in various experimental conditions. In addition, we identify an internally driven constraint set by cellular acto-myosin cables at boundaries as essential to ensure coherence, and active force is generated as evaluated by the high RhoA activity. The cables are required to trigger coherence as shown by our numerical simulations based on a novel Vicsek-type model including free active boundaries. We quantitatively reproduce in silico coherence onsets and we predict criteria leading to coherence. Altogether, spontaneous coherent motion results from basic competitions between cell orientations and active cables at boundaries.

biophysics↗

bioRxiv2021

Optogenetic actuator/biosensor circuits for large-scale interrogation of ERK dynamics identify sources of MAPK signaling robustness.

Combining single-cell measurements of ERK activity dynamics with perturbations provides insights into the MAPK network topology. We built circuits consisting of an optogenetic actuator to activate MAPK signaling and an ERK biosensor to measure single-cell ERK dynamics. This allowed us to conduct RNAi screens to investigate the role of 50 MAPK proteins in ERK dynamics. We found that the MAPK network is robust against most node perturbations. We observed that the ERK-RAF and the ERK-RSK2-SOS negative feedbacks operate simultaneously to regulate ERK dynamics. Bypassing the RSK2-mediated feedback, either by direct optogenetic activation of RAS, or by RSK2 perturbation, sensitized ERK dynamics to further perturbations. Similarly, targeting this feedback in a human ErbB2-dependent oncogenic signaling model increased the efficiency of a MEK inhibitor. The RSK2-mediated feedback is thus important for the ability of the MAPK network to produce consistent ERK outputs and its perturbation can enhance the efficiency of MAPK inhibitors.

systems biology↗