Biology subjects

Falcke, M.

Publications and source records attributed to Falcke, M..

9 recordsLinked to original sources

bioRxiv2025

Profilin promotes lamellipodium protrusion by tuning the antagonistic activities of CP and VASP

Cell migration on rigid surfaces employs flat protrusions termed lamellipodia, which constitute the prime model system for branched actin filament networks that generate pushing forces for membrane movement. Branched actin filaments are nucleated by the Arp2/3 complex and play vital roles in various cell biological processes, such as organelle trafficking, phagocytosis and autophagy. Here we utilize genome editing to explore the functional connections between the actin monomer-binding protein profilin (Pfn), the filament nucleating Arp2/3 complex, its co-factor heterodimeric capping protein (CP) and the Ena/VASP family of actin filament polymerases in lamellipodial actin assembly. Individual and combinations of knockouts show that Pfn counters Ena/VASP but promotes Arp2/3 complex activity, while Ena/VASP and CP mutually antagonize each other. Notably, while Pfn is important for Arp2/3 complex activity irrespective of Ena/VASP, sensitivity of CP to Pfn removal is lost in the absence of Ena/VASP. Our findings establish Pfn as master regulator of Arp2/3 complex-dependent actin network formation, which differentially regulates VASP and its antagonizer CP. Finally, mathematical modeling of our data suggest that Ena/VASP and CP compete for binding at the lamellipodial edge, likely contributing to their functional antagonism at this subcellular site. This work provides critical insights into the molecular logic of branched actin network assembly in membrane protrusion and cellular force generation.

cell biology↗

bioRxiv2024

Cell-mechanical parameter estimation from 1D cell trajectories using simulation-based inference

Trajectories of motile cells represent a rich source of data that provide insights into the mechanisms of cell migration via mathematical modeling and statistical analysis. However, mechanistic models require cell type dependent parameter estimation, which in case of computational simulation is technically challenging due to the nonlinear and inherently stochastic nature of the models. Here, we employ simulation-based inference (SBI) to estimate cell specific model parameters from cell trajectories based on Bayesian inference. Using automated time-lapse image acquisition and image recognition large sets of 1D single cell trajectories are recorded from cells migrating on microfabricated lanes. A deep neural density estimator is trained via simulated trajectories generated from a previously published mechanical model of cell migration. The trained neural network in turn is used to infer the probability distribution of a limited number of model parameters that correspond to the experimental trajectories. Our results demonstrate the efficacy of SBI in discerning properties specific to non-cancerous breast epithelial cell line MCF-10A and cancerous breast epithelial cell line MDA-MB-231. Moreover, SBI is capable of unveiling the impact of inhibitors Latrunculin A and Y-27632 on the relevant elements in the model without prior knowledge of the effect of inhibitors. The proposed approach of SBI based data analysis combined with a standardized migration platform opens new avenues for the installation of cell motility libraries, including cytoskeleton drug efficacies,and may play a role in the evaluation of refined models. Subject AreasBiological Physics / Interdisciplinary Physics

biophysics↗

bioRxiv2024

Visualizing sarcomere and cellular dynamics in skeletal muscle to improve cell therapies

The giant striated muscle protein titin integrates into the developing sarcomere to form a stable myofilament system that is extended as myocytes fuse. The logistics underlying myofilament assembly and disassembly have started to emerge with the possibility to follow labeled sarcomere components. Here, we generated the mCherry knock-in at titins Z-disk to study skeletal muscle development and remodeling. We find titins integration into the sarcomere tightly regulated and its unexpected mobility facilitating a homogenous distribution of titin after cell fusion - an integral part of syncytium formation and maturation of skeletal muscle. In adult mCherry-titin mice, treatment of muscle injury by implantation of titin-eGFP myoblasts reveals how myocytes integrate, fuse and contribute to the continuous myofilament system across cell boundaries. Unlike in immature primary cells, titin proteins are retained at the proximal nucleus and do not diffuse across the whole syncytium with implications for future cell-based therapies of skeletal muscle disease.

cell biology↗

bioRxiv2022

Modeling IP3 induced Ca2+ signaling based on its interspike interval statistics

Inositol 1,4,5-trisphosphate (IP3) induced Ca2+ signaling is a second messenger system used by almost all eukaryotic cells. Recent research identified 8 general properties of Ca2+ spiking common to all cell types investigated and demonstrated randomness of Ca2+ signaling on all structural levels. We suggest a theory of Ca2+ spiking starting from the random behaviour of IP3 receptor channel clusters mediating the release of Ca2+ from the endoplasmic reticulum. Spike generation begins after the absolute refractory period of the previous spike. According to its hierarchical spreading from initiating channel openings to cell level, we describe it as a first passage process from none to all clusters open while the cell recovers from the inhibition which terminated the previous spike. Our theory reproduces quantitatively all general properties for different IP3 pathways including the exponential stimulation response relation of the average interspike interval (ISI) Tav and its robustness properties, random spike timing with a linear moment relation between Tav and the ISI standard deviation and its robustness properties, sensitive dependency of Tav on diffusion properties, and non-oscillatory local dynamics. We explain large cell variability of Tav observed in experiments by variability of channel cluster coupling by Ca2+ induced Ca2+ release, the number of clusters and IP3 pathway components expression levels. We predict the relation between puff probability and agonist concentration, and [IP3] and agonist concentration. Differences of spike behaviour between cell types and stimulating agonists are explained by the different types of negative feedback terminating spikes. In summary, the hierarchical random character of spike generation explains all of the identified general properties.

biophysics↗

bioRxiv2022

On multistability and constitutive relations of cell motion on Fibronectin lanes

Cell motility on flat substrates exhibits multistability between steady and oscillatory morphodynamics, spread and moving states, the biphasic adhesion-velocity relation, and the universal correlation between speed and persistence (UCSP) as simultaneously observed phenomena. Their universality and concurrency suggest a unifying mechanism to exist causing all of them. We search for that mechanism by investigating trajectories of MDA-MB-231 cells on Fibronectin lanes. We also find multistability caused by the clutch mechanism of retrograde flow. Control of the clutch parameters by integrin signalling causes the biphasic adhesion-velocity relation. Protrusion competition based on the clutch causes direction reversal events, the statistics of which explains the UCSP. We suggest that F-actin polymerisation, clutch mechanism of retrograde flow, protrusion competition via membrane tension and drag forces cause the multistability and dynamic cell states, state transition statistics causes the UCSP and the control of this dynamic system by integrin signalling entails the adhesion-velocity relation.

biophysics↗

bioRxiv2021

On the relation between input and output distributions of scRNA-seq experiments

Structured AbstractO_ST_ABSMotivationC_ST_ABSSingle-cell RNA sequencing determines RNA copy numbers per cell for a given gene. However, technical noise poses the question how observed distributions (output) are connected to their cellular distributions (input). ResultsWe model a single-cell RNA sequencing setup consisting of PCR amplification and sequencing, and derive probability distribution functions for the output distribution given an input distribution. We provide copy number distributions arising from single transcripts during PCR amplification with exact expressions for mean and variance. We prove that the coefficient of variation of the output of sequencing is always larger than that of the input distribution. Experimental data reveals the variance and mean of the input distribution to obey characteristic relations, which we specifically determine for a HeLa data set. We can calculate as many moments of the input distribution as are known of the output distribution (up to all). This, in principle, completely determines the input from the output distribution. Contactmartin.falcke@mdc-berlin.de

genomics↗

bioRxiv2021

Computational toolbox for ultrastructural quantitative analysis of filament networks in cryo-ET data

A precise quantitative description of the ultrastructural characteristics underlying biological mechanisms is often key to their understanding. This is particularly true for dynamic extra- and intracellular filamentous assemblies, playing a role in cell motility, cell integrity, cytokinesis, tissue formation and maintenance. For example, genetic manipulation or modulation of actin regulatory proteins frequently manifests in changes of the morphology, dynamics, and ultrastructural architecture of actin filament-rich cell peripheral structures, such as lamellipodia or filopodia. However, the observed ultrastructural effects often remain subtle and require sufficiently large datasets for appropriate quantitative analysis. The acquisition of such large datasets has been enabled by recent advances in high-throughput cryo-electron tomography (cryo-ET) methods. However, this also necessitates the development of complementary approaches to maximize the extraction of relevant biological information. We have developed a computational toolbox for the semi-automatic quantification of filamentous networks from cryo-ET datasets to facilitate the analysis and cross-comparison of multiple experimental conditions. GUI-based components simplify the manipulation of data and allow users to obtain a large number of ultrastructural parameters describing filamentous assemblies. We demonstrate the feasibility of this workflow by analyzing cryo-ET data of untreated and chemically perturbed branched actin filament networks and that of parallel actin filament arrays. In principle, the computational toolbox presented here is applicable for data analysis comprising any type of filaments in regular (i.e. parallel) or random arrangement. We show that it can ease the identification of key differences between experimental groups and facilitate the in-depth analysis of ultrastructural data in a time-efficient manner.

cell biology↗

bioRxiv2019

The transcriptome dynamics of single cells during the cell cycle

Despite advances in single-cell data analysis, the dynamics and topology of the cell cycle in high-dimensional gene expression space remains largely unknown. Here, we use a linear analysis of transcriptome data to reveal that cells move along a circular trajectory in transcriptome space during the cell cycle. This movement occurs largely independently from other cellular processes. Non-cycling gene expression (changes in environment or epigenetic state) adds a third dimension and causes helical motion on a hollow cylinder. The circular trajectory shape indicates minimal acceleration of transcription, i.e. the cell cycle has evolved to minimize changes of transcriptional activity and its entailing regulatory effort. Thus, we uncover a general design principle of the cell cycle that may be of relevance to many other cellular differentiation processes. One Sentence SummaryCells traverse high-dimensional gene expression space in a 2D circular motion, thus minimizing changes of expression changes ("Acceleration").

systems biology↗

bioRxiv2019

Lamellipodin tunes cell migration by stabilizing protrusions and promoting adhesion formation

Efficient migration on adhesive surfaces involves the protrusion of lamellipodial actin networks and their subsequent stabilization by nascent adhesions. The actin binding protein lamellipodin (Lpd) is thought to play a critical role in lamellipodium protrusion, by delivering Ena/VASP proteins onto the growing plus ends of actin filaments and by interacting with the WAVE regulatory complex (WRC), an activator of the Arp2/3 complex, at the leading edge. Using B16-F1 melanoma cell lines, we demonstrate that genetic ablation of Lpd compromises protrusion efficiency and coincident cell migration without altering essential parameters of lamellipodia, including their maximal rate of forward advancement and actin polymerization. We also confirmed lamellipodia and migration phenotypes with CRISPR/Cas9-mediated Lpd knockout Rat2 fibroblasts, excluding cell type-specific effects. Moreover, computer-aided analysis of cell edge morphodynamics on B16-F1 cell lamellipodia revealed that loss of Lpd correlates with reduced temporal protrusion maintenance as a prerequisite of nascent adhesion formation. We conclude that Lpd optimizes protrusion and nascent adhesion formation by counteracting frequent, chaotic retraction and membrane ruffling. Summary statementWe describe how genetic ablation of the prominent actin- and VASP-binding protein lamellipodin combined with software-aided protrusion analysis uncovers mechanistic insights into its cellular function during cell migration.

cell biology↗