Biology subjects

Davidovic, A.

Publications and source records attributed to Davidovic, A..

5 recordsLinked to original sources

bioRxiv2025

Integration of past caspase activity biases cell elimination in vivo

The fine tuning of apoptosis in epithelia is essential for regulating tissue size, shape, homeostasis and the maintenance of sealing properties. Regulation of cell death is mostly orchestrated by the activation of Caspases, proteases which were long thought to trigger an irreversible engagement in cell death. However, recent data in vivo and in vitro outline numerous non-apoptotic functions of caspases as well as quite ubiquitous sublethal activation of effector caspases during development. Yet, it remains unclear in many instances what drives the bifurcation between cell death engagement and cell survival upon caspase activation. The existence of a caspase activity threshold was generally considered to underpin this binary decision, but this was never assessed quantitatively in vivo especially at the single cell level. Using quantitative live imaging combined with machine learning and optogenetics in the Drosophila pupal notum (a single layer epithelium), we reveal for the first time the existence of a large heterogeneity of caspase sensitivity between cells, as well as the existence of distinct spatial domains with low or high sensitivity to caspases. Using correlative and perturbative experiments, we outline the central role of past exposure to sublethal caspase activity which sensitises cells for apoptosis for several hours. Integrating information about past caspase activation is sufficient to explain most of the global pattern of caspase sensitivity and predict at the single cell level which cells will engage in apoptosis. Finally, we demonstrate that past sublethal caspase activation in a subset of cells is sufficient to bias cell elimination at the clonal and single cell level, thus revealing an alternative mechanism of physiological cell competition. Altogether, this work reveals for the first time the existence of a new layer of apoptosis regulation in vivo downstream of effector caspases which can be developmentally regulated and bias clonal selection and the spatial pattern of cell death.

developmental biology↗

bioRxiv2024

Developmental delay ensures global tissue size robustness upon local induction of apoptosis

The capacity of our tissues to cope with external and internal stress relies on the tight coupling between cell proliferation, cell growth and cell death. This coupling is assumed to be based on compensatory proliferation, where local mitogenic signals and mechanical inputs generated by dying cells promote neighbouring cell proliferation. However, compensatory proliferation was mostly studied in the context of massive death induction, irradiation, surgical tissue ablation or upon genetic perturbation of apoptosis execution. It remains thus unclear whether the same mechanism operates during physiological programmed cell death or upon mild induction of apoptosis, especially in vivo. Here, we use the Drosophila prospective wing (the larval wing disc), to study the impact of local induction of apoptosis on tissue size and proliferation pattern. We first confirmed that the wing could recover its final size and compensate for mild induction of apoptosis. However, using spatial statistics we found surprisingly that local induction of death is not associated with any local increase of proliferation, could it be upon clonal or compartment induction of apoptosis. Compensation is driven instead by a JNK dependant delay of growth and lengthening of the larval stage which is required to reach the final tissue target size. These results suggest that compensation is here driven by a global response rather that a local proliferation induction. Accordingly, while total tissue size is maintained despite local induction of apoptosis, this mechanism fails to correct the local reduction of cell number, hence modulating wing shape and proportion. Overall, this study opens novel perspectives on tissue size regulation and outlines the context-dependency of compensatory mechanisms.

developmental biology↗

bioRxiv2022

Patterned apoptosis modulates local growth and tissue shape in a fast-growing epithelium

What regulates organ size and shape remains one of the fundamental mysteries of modern biology. So far, research in this area has primarily focused on deciphering the regulation in time and space of growth and cell division, while the contribution of cell death has been much more neglected. This includes studies of the Drosophila wing imaginal disc, the prospective fly wing which undergoes massive growth during larval stage, and represents one of the best characterised systems for the study of growth and patterning. So far, it has been assumed that cell death was relatively neglectable in this tissue and as a result the pattern of growth was usually attributed to the distribution of cell division. Here, using systematic mapping and registration combined with quantitative assessment of clone size and disappearance, we show for the first time that cell death is not neglectable, and outline a persistent pattern of cell death and clone elimination in the disc. Local variation of cell death is associated with local variation of clone size, pointing to an impact of cell death on local growth which is not fully compensated by proliferation. Using morphometric analyses of adult wing shape and genetic perturbations, we provide evidence that patterned death affects locally and globally adult wing shape and size. This study describes a roadmap for accurate assessment of the contribution of cell death to tissue shape, and outlines for the first time an important instructive role of cell death in modulating quantitatively local growth and the morphogenesis of a fast-growing tissue.

developmental biology↗

bioRxiv2021

Parameter inference for stochastic biochemical models from perturbation experiments parallelised at the single cell level

Understanding and characterising biochemical processes inside single cells requires experimental platforms that allow one to perturb and observe the dynamics of such processes as well as computational methods to build and parameterise models from the collected data. Recent progress with experimental platforms and optogenetics has made it possible to expose each cell in an experiment to an individualised input and automatically record cellular responses over days with fine time resolution. However, methods to infer parameters of stochastic kinetic models from single-cell longitudinal data have generally been developed under the assumption that experimental data is sparse and that responses of cells to at most a few different input perturbations can be observed. Here, we investigate and compare different approaches for calculating parameter likelihoods of single-cell longitudinal data based on approximations of the chemical master equation (CME) with a particular focus on coupling the linear noise approximation (LNA) or moment closure methods to a Kalman filter. We show that, as long as cells are measured sufficiently frequently, coupling the LNA to a Kalman filter allows one to accurately approximate likelihoods and to infer model parameters from data even in cases where the LNA provides poor approximations of the CME. Furthermore, the computational cost of filtering-based iterative likelihood evaluation scales advantageously in the number of measurement times and different input perturbations and is thus ideally suited for data obtained from modern experimental platforms. To demonstrate the practical usefulness of these results, we perform an experiment in which single cells, equipped with an optogenetic gene expression system, are exposed to various different light-input sequences and measured at several hundred time points and use parameter inference based on iterative likelihood evaluation to parameterise a stochastic model of the system. Author summaryA common result for the modelling of cellular processes is that available data is not sufficiently rich to uniquely determine the biological mechanism or even just to ensure identifiability of parameters of a given model. Perturbing cellular processes with informative input stimuli and measuring dynamical responses may alleviate this problem. With the development of novel experimental platforms, we are now in a position to parallelise such perturbation experiments at the single cell level. This raises a plethora of new questions. Is it more informative to diversify input perturbations but to observe only few cells for each input or should we rather ensure that many cells are observed for only few inputs? How can we calculate likelihoods and infer parameters of stochastic kinetic models from data sets in which each cell receives a different input perturbation? How does the computational efficiency of parameter inference methods scale with the number of inputs and the number of measurement times? Are there approaches that are particularly well-suited for such data sets? In this paper, we investigate these questions using the CcaS/CcaR optogenetic system driving the expression of a fluorescent reporter protein as primary case study.

systems biology↗

bioRxiv2020

Robustness of epithelial sealing is an emerging property of local ERK feedbacks driven by cell elimination

While the pathways regulating apoptosis and cell extrusion are rather well described1,2, what regulates the precise spatio-temporal distribution of cell elimination in tissues remains largely unknown. This is particularly relevant for epithelia with high rates of cell elimination, a widespread situation during embryogenesis3-6 and epithelial homeostasis7, where concomitant death of neighbours could impair the maintenance of epithelial sealing. However, the extent to which epithelial tissues can cope with concomitant cell death, and whether any mechanism regulates such occurrence have never been explored so far. Here, using the Drosophila pupal notum (a single layer epithelium) and a new optogenetic tool to trigger caspase activation and cell extrusion, we first show that concomitant death of clusters of at least three cells is sufficient to transiently impair epithelial sealing. Such clustered extrusion was almost never observed in vivo, suggesting the existence of a mechanism preventing concomitant elimination of neighbours. Statistical analysis and simulations of cell death distribution in the notum highlighted a transient and local protective phase occurring near every dying cell. This protection is driven by a transient activation of ERK in the direct neighbours of extruding cells which reverts caspase activation and prevents elimination of cells in clusters. Altogether, this study demonstrates that the distribution of cell elimination in epithelia is an emerging property of transient and local feedbacks through ERK activation which is required to maintain epithelial sealing in conditions of high rate of cell elimination.

developmental biology↗