Biology subjects

Delanoe-Ayari, H.

Publications and source records attributed to Delanoe-Ayari, H..

8 recordsLinked to original sources

bioRxiv2025

Electrophysiological abnormalities associated with a CACNA1D variant are rescued by AAV6-Cav1.3-C-terminus gene therapy in patient-iPSC-CMs

Inherited arrhythmia syndromes are caused by genetic variants that alter cardiac ion channel function. We investigated a complex presentation in a pediatric patient with ventricular tachycardia and conduction abnormalities, harboring a de novo CACNA1D (c.3786G>T) variant, and two inherited variants, the SCN5A (c.2618C>G), and a DSP desmosome (c.1582C>G). The CACNA1D variant, which encodes Cav1.3 L-type calcium channel is the focus of this study, because the C-terminus fragment of Cav1.3 has recently been identified as a transcription auto-enhancer of its own gene and able to prevent arrhythmic events in a mouse model of ischemic heart failure. Leveraging this intrinsic property, we hypothesized that the Cav1.3-C-terminus could reverse the arrhythmic events associated with the CACNA1D variant. Patch-clamp and optical mapping experiments demonstrated a loss of Cav1.3 function, characterized by reduced L-type calcium current densities, and decrease of conduction velocity, leading to inducible re-entrant arrhythmias in human induced pluripotent stem cell-cardiomyocytes (hiPSC-CMs). RNA sequencing confirmed this loss-of-function via the downregulation CACNA1D gene expression. Interestingly, Cav1.3-C-terminus treatment of hiPSC-CMs successfully normalized Cav1.3 gene expression, restored calcium currents, and conduction velocity, and prevented the susceptibility to arrhythmias. These findings highlight the electrophysiological consequences resulting from a de novo Cav1.3 variant and demonstrate an important transcriptional role of Cav1.3-C-terminus as a transcriptional regulator and as a promising therapeutic tool to restore normal electrical properties in patients with calcium channels loss of function.

physiology↗

bioRxiv2023

Mitosis down-regulates nuclear volume and resets nuclear envelope folding of cancer cells under prolonged confinement

During their life, mammalian cells are subjected to numerous mechanical constraints, especially in pathological contexts such as cancer. Recent studies have highlighted the central role of the nucleus in sensing mechanical cues, but they only focus on short periods of time, and so far, whether cells can adapt to prolonged confinement remains unknown. Here, we reveal the unsuspected role of mitosis in the long-term adaptation of nuclei to prolonged uniaxial confinement. For the colorectal cancer cell line investigated, following the first confined cell division, a new homeostatic state was reached by nuclei: they were smaller, and had reset the tension of their envelope. This adaptation through mitosis relied both on the nuclear tension sensor cPLA2 and the contractility machinery. We report for the first time a mechano-adaptation during mitosis, a process that could be crucial to adapt to stresses in the tumor microenvironment. We therefore anticipate that our work could provide new insight into cancer cell plasticity and cancer relapse. Significance StatementMost cell types undergo significant deformation throughout their life cycles. Immune cells must deform to navigate through dense matrices, while cancer cells in solid tumors experience squeezing from neighboring cells. The nucleus, central for many cell function, is the stiffest and largest organelle. Understanding its long-term response to spatial constraints is hence crucial yet largely unexplored. In this study, we investigate how a colorectal cancer cell line adapts to prolonged confined environments, with a particular focus on nuclear dynamics under continuous squeezing. Our groundbreaking findings reveal for the first time a mechano-adaptation during mitosis leading to a decrease in nuclear size. This research contributes to the fundamental understanding of cellular mechanosensing, opening new avenues for cancer biology research.

biophysics↗

bioRxiv2022

Small hand-designed convolutional neural networks outperform transfer learning in automated cell shape detection in confluent tissues

Mechanical cues such as stresses and strains are now recognized as essential regulators in many biological processes such as cell division, gene expression or morphogenesis. Studying the interplay between these mechanical cues and biological responses requires experimental tools to measure these cues. In the context of large scale tissues, this can be achieved by segmenting individual cells to extract their shapes and deformations which in turn inform on their mechanical environment. Historically, this has been done by segmentation methods which are well known to be time consuming and error prone. In this context however, one doesnt necessarily require a cell-level description and a coarse grained approach can be more efficient while using tools different than segmentation. The advent of machine learning and deep neural networks has revolutionized the field of image analysis in recent years, including in biomedical research. With the democratization of these techniques, more and more researchers are trying to apply them to their own biological systems. In this paper, we tackle a problem of cell shape measurement thanks to a large annotated dataset. We develop simple CNNs which we thoroughly optimize in terms of architecture and complexity to question construction rules usually applied. We find that increasing the complexity of the networks rapidly no longer yields improvements in performance and that the number of kernels in each convolutional layer is the most important parameter to achieve good results. In addition, we compare our step-by-step approach with transfer learning and find that our simple, optimized CNNs give better predictions, are faster in training and analysis and dont require more technical knowledge to be implemented. Overall, we offer a rational roadmap to develop optimized models and argue that we should limit the complexity of such models. We conclude by illustrating this strategy on a similar problem and dataset.

bioinformatics↗

bioRxiv2020

Temporal correlation between oscillating force dipoles drives single cell migration in 3D.

Directional cell locomotion requires symmetry breaking between the front and rear of the cell. In some cells, symmetry breaking manifests itself in a directional flow of actin from the front to the rear of the cell. Many cells, especially in physiological 3D matrices do not show such coherent actin dynamics and present seemingly competing protrusion/retraction dynamics at their front and back. How symmetry breaking manifests itself for such cells is therefore elusive. We take inspiration from the scallop theorem proposed by Purcell for micro-swimmers in Newtonian fluids: self-propelled objects undergoing persistent motion at low Reynolds number must follow a cycle of shape changes that breaks temporal symmetry. We report similar observations for cells crawling in 3D. We quantified cell motion using a combination of 3D live cell imaging, visualization of the matrix displacement and a minimal model with multipolar expansion. We show that our cells embedded in a 3D matrix form myosin-driven force dipoles at both sides of the nucleus, that locally and periodically pinch the matrix. The existence of a phase shift between the two dipoles is required for directed cell motion which manifests itself as cycles with finite area in the dipole-quadrupole diagram, a formal equivalence to the Purcell cycle. We confirm this mechanism by triggering local dipolar contractions with a laser. This leads to directed motion. Our study reveals that these cells control their motility by synchronizing dipolar forces distributed at front and back. This result opens new strategies to externally control cell motion as well as for the design of micro-crawlers.

biophysics↗

bioRxiv2020

Mechanical-control of cell proliferation increases resistance to chemotherapeutic agents

While many cellular mechanisms leading to chemotherapeutic resistance have been identified, there is an increasing realization that tumor-stroma interactions also play an important role. In particular, mechanical alterations are inherent to solid cancer progression and profoundly impact cell physiology. Here, we explore the impact of compressive stress on the efficacy of chemotherapeutics in pancreatic cancer spheroids. We find that increased compressive stress leads to decreased drug efficacy. Theoretical modeling and experiments suggest that mechanical stress leads to decreased cell proliferation which in turn reduces the efficacy of chemotherapeutics that target proliferating cells. Our work highlights a mechanical-form of drug resistance, and suggests new strategies for therapy.

cancer biology↗

bioRxiv2020

Development of a soft cell confiner to decipher the impact of mechanical stimuli on cells

Emerging evidence suggests the importance of mechanical stimuli in normal and pathological situations for the control of many critical cellular functions. While the effect of matrix stiffness has been and is still extensively studied, few studies have focused on the role of mechanical stresses. The main limitation of such analyses is the lack of standard in vitro assays enabling extended mechanical stimulation compatible with dynamic biological and biophysical cell characterization. We have developed an agarose-based microsystem, the soft cell confiner, which enables the precise control of confinement for single or mixed cell populations. The rigidity of the confiner matches physiological conditions and enables passive medium renewal. It is compatible with time-lapse microscopy, in situ immunostaining, and standard molecular analyses, and can be used with both adherent and non-adherent cell lines. Cell proliferation of various cell lines (hematopoietic cells, MCF10A epithelial breast cells and HS27A stromal cells) was followed for several days up to confluence using video-microscopy and further documented by Western blot and immunostaining. Interestingly, even though the nuclear projected area was much larger upon confinement, with many highly deformed nuclei (non-circular shape), cell viability, assessed by live and dead cell staining, was unaffected for up to 8 days in the confiner. However, there was a decrease in cell proliferation upon confinement for all tested cell lines. The soft cell confiner is thus a valuable tool to decipher the effect of long-term confinement and deformation on the biology of cell populations. This tool will be instrumental in deciphering the impact of nuclear and cytoskeletal mechanosensitivity in normal and pathological conditions involving highly confined situations, such as those reported upon aging with fibrosis or during cancer. Graphical abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY A unique tool to analyze the role of long-term effect of mechanical confinement in normal and pathological conditions

biophysics↗

bioRxiv2019

Generation of fluorescent cell-derived-matrix to study 3D cell migration

AO_SCPLOWBSTRACTC_SCPLOWCell migration is involved in key phenomena in biology, ranging from development to cancer. Fibroblasts move between organs in 3D polymeric networks. So far, motile cells were mainly tracked in vitro on Petri dishes or on coverslips, i.e. 2D flat surfaces, which made the extrapolation to 3D physiological environments difficult. We therefore prepared 3D Cell Derived Matrix (CDM) with specific characteristics with the goal of extracting the main readouts required to measure and characterise cell motion: cell specific matrix deformation through the tracking of fluorescent fibronectin within CDM, focal contacts as the cell anchor and acto-myosin cytoskeleton which applies cellular forces. We report our method for generating this assay of physiological-like gel with relevant readouts together with its potential impact in explaining cell motility in vivo.

biophysics↗

bioRxiv2017

Collective cell migration without proliferation: density determines cell velocity and wave velocity

Collective cell migration contributes to morphogenesis, wound healing or tumor metastasis. Culturing epithelial monolayers on a substrate enables to quantify such tissue migration. By using narrow strips, we stabilise the front shape; by inhibiting cell division, we limit density increase and favor steady migration; by using long strips, we observe a confined cell monolayer migrating over days. A coherent collective movement propagates over millimeters; cells spread and density decreases from the monolayer bulk toward the front. Cell velocity ([~]micrometer per minute) increases linearly with cell radius, and does not depend explicitly on the distance to the front. Over ten periods of backwards propagating velocity waves, with wavelength [~]millimeter, are detected with a signal-to-noise ratio enabling for quantitative spatio-temporal analysis. Their velocity ([~]ten micrometers per minute) is ten times the cell velocity; it increases linearly with the cell radius. Their period ([~]two hours) is spatially homogeneous, and increases with the front density. When we inhibit the formation of lamellipodia, cell velocity drops while waves either disappear, or have a smaller amplitude and slower period. Our phenomenological model assumes that both cell and wave velocities are related with the activity of lamellipodia, and that the local stretching in the monolayer bulk modulates traction stresses. We find that parameter values close to the instability limit where waves appear yield qualitative and quantitative predictions compatible with experiments, including the facts that: waves propagate backwards; wave velocity increases with cell radius; lamellipodia inhibition attenuates, slows down or even suppresses the waves. Together, our experiments and modelling evidence the importance of lamellipodia in collective cell migration and waves.

biophysics↗