Biology subjects

Monnier, S.

Publications and source records attributed to Monnier, S..

7 recordsLinked to original sources

bioRxiv2025

Transient volume stabilization reveals the key role a PM permeability in pyroptotic cell swelling.

Pyroptosis, an inflammatory form of cell death, is characterized by massive cell swelling and plasma membrane rupture. Although swelling was recently shown to occur in two steps, the molecular and biophysical mechanisms driving this process remained unclear. Using fast quantitative microscopy, we reveal that between the two swelling phases, cell volume transiently stabilizes despite sustained plasma membrane permeability to ions and small molecules. From a biophysical perspective, the existence of such a plateau is puzzling, as ion pumps should not be able to regulate cell volume under these conditions. To address this, we developed a physical model based on an ion pump and leak framework that incorporates the dynamics of non-selective pore formation. Experimentally, we demonstrate that the plateau phase is controlled by the dynamics of the GSDMD pore enlargement, which is modulated by Ninj1 activation, possibly through intracellular calcium. Ninj1-mediated lesions are also required for the second swelling phase. We further show that fully opened GSDMD pores display an effective hydrodynamic radius slightly above 1.9 nm, providing an insitu upper bound for pore size. Together, our findings demonstrate that pyroptotic volume dysregulation emerges from the successive and interdependent actions of GSDMD and Ninj1, each imparting distinct permeability regimes associated with increased water filtration and decreased ion selectivity due to pore opening. These insights bridge molecular and biophysical perspectives on lytic cell death and may inform the broader understanding of membrane rupture in inflammatory and pathological contexts. Significance StatementAmong programmed modes of lytic cell death, pyroptosis mediated by gasdermin D (GSDMD) and ninjurin-1 (Ninj1) involves dramatic changes in cell shape and large volume fluctuations, fundamentally altering the cells physical properties. By combining optogenetics, quantitative microscopy, and modeling, we show that a progressive increase in plasma membrane pore size drives cell swelling and membrane lysis through successive and interdependent actions of GSDMD and Ninj1, each imparting distinct permeability regimes associated with increased water filtration and decreased ion selectivity. A deeper understanding of these dynamic cell modifications will shed light on the molecular and biophysical mechanisms driving different forms of cell death.

biophysics↗

bioRxiv2024

Ninjurin-1 mediated plasma membrane rupture is a two-step process requiring cell swelling

Ninjurin-1 (NINJ1) executes cell lysis by polymerizing into filaments, yet how these form membrane lesions is unknown. Integrating cell-based assays with molecular dynamics simulations, we demonstrate that NINJ1-driven membrane rupture starts with the lateral association of NINJ1 dimers into double filaments. Subsequently, swelling of necrotic cells increases plasma membrane tension, leading to separation of the filament interface and NINJ1 lesion opening. Inhibiting cell swelling prevents this increase in tension, blocking NINJ1-mediated plasma membrane rupture without disrupting NINJ1 oligomerization, implicating membrane tension as key for opening NINJ1 lesions. The NINJ1 homolog NINJ2 oligomerizes but fails to form membrane lesions during cell death due to the greater stability of its dimer. Finally, using atomic force microscopy of NINJ1-containing proteoliposomes, we show that NINJ1 forms large pores by stabilizing membrane edges. In summary, our findings support a model whereby membrane tension drives a zipper-like opening of NINJ1 double filaments, initiating necrotic cell lysis.

immunology↗

bioRxiv2023

An optogenetic approach to control and monitor inflammasome activation.

Inflammasomes are multiprotein platforms which control caspase-1 activation, leading to the processing of proinflammatory cytokines into mature and active cytokines IL-1{beta} and IL-18, and to pyroptosis through the cleavage of gasdermin-D (GSDMD). Inflammasomes assemble upon activation of specific cytosolic pattern recognition receptors (PRRs) by damage-associated molecular patterns (DAMPs) or pathogen-associated molecular patterns (PAMPs). They converge to the nucleation of apoptosis-associated speck-like containing a caspase activation and recruitment domain (ASC) to form hetero-oligomers with caspase-1. Studying inflammasome encoding activities remains challenging because PAMPs and DAMPs are sensed by a large diversity of cytosolic and membranous PRRs. To bypass the different signals required to activate the inflammasome, we designed an optogenetic approach to temporally and quantitatively manipulate ASC assembly (i.e. in a PAMP- or DAMP-independent manner). We reveal that controlling light-sensitive oligomerization of ASC is sufficient to recapitulate the classical features of inflammasomes within minutes, and enabled us to decipher the complexity of volume regulation and pore opening during pyroptosis. Overall, this approach offers interesting perspective to decipher PRR signaling pathways in the field of innate immunity.

immunology↗

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

Machine learning-based detection of label-free cancer stem-like cell fate

Most imaging methods rely on labelling biological samples in order to provide specific and easily detectable features. However, label-free imaging is a non-invasive and non-toxic alternative that requires accurate image analysis algorithm based on cell morphology. Such analysis has to deal with a high image variability while fewer features are extractable, so far, fast analysis of label-free brightfield microscopy (LFBM) images remains a challenging task. With the development of microfabricated devices during the last decades, high throughput image generation makes it possible to use machine learning-based algorithms in order to analyse LFBM images. Fast algorithms are also crucially needed to analyze high throughput experiments. In this paper, we provide a data-driven study in order to assess the complexity of LFBM time-lapses monitoring isolated cancer stem-like cells (CSCs) fate in non-adherent conditions. We combined for the first time individual cell fate and cell state temporality analysis in a unique algorithm. Several image analysis algorithms of increasing processing capacities were tested: a classical computer vision algorithm (CCVA), a shallow learning-based algorithm (SLBA) and a deep learning-based algorithm (DLBA). We show that our optimized DLBA has by far the best accuracy compared to CCVA and SLBA, is at least as accurate as other state-of-the-art DLBAs while being faster. With this study, we demonstrate that optimizing our DLBA accordingly to the image analysis problem can overall provide better results than pretrained models. Such a fast and accurate DLBA is therefore compatible with the generation of high throughput data and opens the route for on-the-fly analysis of CSC fate from LFBM time-lapses.

bioinformatics↗

bioRxiv2020

Extra-cellular Matrix in cell aggregates is a proxy to mechanically control cell proliferation and motility

Imposed deformations play an important role in morphogenesis and tissue homeostasis, both in normal and pathological conditions. To perceive mechanical perturbations of different types and magnitudes, tissues need appropriate detectors, with a compliance that matches the perturbation amplitude. By comparing results of selective osmotic compressions of cells within multicellular aggregates with small osmolites and global aggregate compressions with big osmolites, we show that global compressions have a strong impact on the aggregates growth and internal cell motility, while selective compressions of same magnitude have almost no effect. Both compressions alter the volume of individual cells in the same way but, by draining the water out of the extracellular matrix, the global one imposes a residual compressive mechanical stress on the cells while the selective one does not. We conclude that, in aggregates, the extracellular matrix is as a sensor which mechanically regulates cell proliferation and migration in a 3D environment.

biophysics↗

bioRxiv2017

An adder behavior in mammalian cells achieves size control by modulation of growth rate and cell cycle duration

Despite decades of research, it remains unclear how mammalian cell growth varies with cell size and across the cell division cycle to maintain size control. Answers have been limited by the difficulty of directly measuring growth at the single cell level. Here we report direct measurement of single cell volumes over complete cell division cycles. The volume added across the cell cycle was independent of cell birth size, a size homeostasis behavior called \"adder\". Single-cell growth curves revealed that the homeostatic behavior relied on adaptation of G1 duration as well as growth rate modulations. We developed a general mathematical framework that characterizes size homeostasis behaviors. Applying it on datasets ranging from bacteria to mammalian cells revealed that a near-adder is the most common type of size control, but only mammalian cells achieve it using modulation of both cell growth rate and cell-cycle progression.

cell biology↗