Biology subjects

Plunder, S.

Publications and source records attributed to Plunder, S..

3 recordsLinked to original sources

bioRxiv2024

Occurrence of non-apical mitoses at the primitive streak, induced by relaxation of actomyosin and acceleration of the cell cycle, contributes to cell delamination during mouse gastrulation.

During the epithelial-mesenchymal transition driving mouse embryo gastrulation, cells at the primitive streak divide more frequently that in the rest of the epiblast, and half of those divisions happen away from the apical pole. These observations suggests that non-apical mitoses might play a role in cell delamination and/or mesoderm specification. We aimed to uncover and challenge the molecular determinants of mitosis position in the different regions of the epiblast through a combination of computational modeling and pharmacological treatments of embryos. Blocking basement membrane degradation at the streak had no impact on the asymmetry in mitosis frequency and position. By contrast disturbance of actomyosin cytoskeleton or cell cycle dynamics elicited ectopic non-apical mitosis and showed that the streak region is characterized by local relaxation of the actomyosin cytoskeleton and less stringent regulation of cell division. These factors are essential for normal dynamics at the streak but are not sufficient to promote acquisition of mesoderm identity or ectopic cell delamination in the epiblast. Exit from the epithelium requires additional events, such as detachment from the basement membrane. Altogether, our data indicate that cell delamination at the streak is a morphogenetic process which results from a cooperation between EMT events and the local occurrence of non-apical mitoses driven by specific cell cycle and contractility parameters.

developmental biology↗

bioRxiv2023

Modelling variability and heterogeneity of EMT scenarios highlights nuclear positioning and protrusions as main drivers of extrusion

Epithelial-Mesenchymal Transition (EMT) is a key process in physiological and pathological settings (i.e. development, fibrosis, cancer). EMT is often presented as a linear sequence of events including (i) disassembly of cell-cell junctions, (ii) loss of epithelial polarity and (iii) reorganization of the cytoskeleton leading to basal extrusion from the epithelium. Once out, cells can adopt a migratory phenotype with a front-rear polarity and may additionally become invasive. While this stereotyped sequence can occur, many in vivo observations have challenged this notion. It is now accepted that there are multiple EMT scenarios and that cell populations implementing EMT are often heterogeneous. However, the relative importance of each EMT step towards extrusion is unclear. Similarly, the overall impact of variability and heterogeneity on the efficiency and directionality of cell extrusion has not been assessed. Here we used computational modelling of a pseudostratified epithelium to model multiple EMT-like scenarios. We confronted these in silico data to the EMT occurring during neural crest delamination. Overall, our simulated and biological data point to a key role of nuclear positioning and protrusive activity to generate timely basal extrusion of cells and suggest a non-linear model of EMT allowing multiple scenarios to co-exist.

developmental biology↗

bioRxiv2022

Identification of viral dose and administration time in simulated phage therapy occurrences

The rise in multidrug-resistant bacteria has sprung a renewed interest in applying phages as antibacterial, a procedure Western practitioners eventually abandoned due to several downfalls, including poor understanding of the dynamics between phages and bacteria. A successful phage therapy needs to account for the loss of infective virions and the multiplication of the hosts. The parameters critical inoculation size (VF) and failure threshold time (TF) have been introduced to assure that the viral dose (v{phi}) and administration time (t{phi}) would lead to an effective treatment. The problem with the definition of VF and TF is that they are non-linear equations with two unknowns; thus, their solution is cumbersome and not unique. The current study used machine learning in the form of a decision tree algorithm to determine ranges for the viral dose and administration times required to achieve an effective phage therapy. Within these ranges, a Pareto optimal solution of a multi-criterial optimization problem (MCOP) provides values leading to effective treatment. The algorithm was tested on a series of microbial consortia that described allochthonous invasions (the outgrowing of a species at high cell density by another species initially present at low concentration) to inhibit the growth of the invading species. The present study also introduced the concept of mediated phage therapy, where targeting a booster bacteria might decrease the virulence of a pathogen immune to phagial infection. The results demonstrated that the MCOP could provide pairs of v{phi} and t{phi} that could effectively wipe out the bacterial target from the considered micro-environment. In summary, the present work introduced a novel method for investigating the phage/bacteria interaction that could help increase the effectiveness of phage therapy. Author summaryPhage therapy is a treatment that can help fight infections with bacteria resistant to antibiotics. However, several phage therapy application have failed, possibly because phages were administered at the wrong time or in insufficient amounts. The present study implemented a machine learning protocol to correctly calculate the administration time and viral load to obtain effective phage therapy. Four simulated microbial consortia, including one case where the pathogen was not directly a phages host, were employed to prove the procedures concept. The results demonstrated that the procedure is suitable to help the microbiologists to instantiate an effective phage therapy and clear infections.

microbiology↗