Biology subjects

Chalut, K.

Publications and source records attributed to Chalut, K..

7 recordsLinked to original sources

bioRxiv2025

Protein-protein interactions drive differences in the spatiotemporal dynamics of transcription factors NANOG and SOX2 in naïve pluripotent cells

Maintenance of naive pluripotency requires core transcription factors (TFs) like SOX2 and auxiliary TFs like NANOG, yet molecular mechanisms governing their intra-nuclear dynamics and DNA binding interactions remain unclear. Here, using high-density 3D single-molecule light-field microscopy combined with novel spatiotemporal analysis pipelines, we track SOX2 and NANOG dynamics in live cells. Despite lower protein abundance, NANOG displays a similar chromatin-bound fraction to SOX2. This arises partially because, while both TFs undergo frequent transient non-specific binding interactions ([~]0.5-0.7s), NANOG exhibits more stable specific binding ([~]25s vs [~]16s). Both TFs also assemble into phase-separated domains of [~]400 nm containing both freely diffusing and chromatin-bound proteins, which further influences their dynamics. Strikingly, NANOGs protein-protein interaction domain markedly increases chromatin residence time (>5-fold) and the size of these phase-separated domains. Our work uncovers how NANOG and SOX2 stabilise gene regulatory networks that maintain naive pluripotency while providing quantitative pipelines for dissecting spatiotemporal TF dynamics.

cell biology↗

bioRxiv2024

Cell-matrix force transmission regulates the loss of naïve pluripotency in mouse embryonic stem cells.

The first step in the differentiation of mouse embryonic stem cells (mESCs) is the loss of naive pluripotency. This step involves a major reshaping of cells from a rounded to a spread, adhesive phenotype. Whereas such reshaping is typically associated with increased force transmission to the extracellular matrix (ECM), the magnitude and role of cell-matrix forces in the loss of naive pluripotency is unknown. Here, we show that cell-matrix forces increase during, and are required for, the loss of naive pluripotency in mESCs. Using traction force microscopy, we show that mESCs progressively increase cell-traction forces and mechanotransduction markers as naive pluripotency dissolves. Modulation of force transmission through myosin inhibition, substrate stiffness, or spatial differences within mESC colonies regulates the process. Increased force is triggered by GSK3-mediated signalling, and the effect of force is regulated in part by its transmission to the cell nucleus. Our work unveils a major role of cell-ECM forces in pluripotency dissolution, adding an important aspect to the interplay between biochemical and biophysical cues that drive this process.

developmental biology↗

bioRxiv2022

Plakoglobin is a mechanoresponsive regulator of naïve pluripotency

Biomechanical cues are instrumental in guiding embryonic development and cell differentiation. Understanding how these physical stimuli translate into transcriptional programs could provide insight into mechanisms underlying mammalian pre-implantation development. Here, we explore this by exerting microenvironmental control over mouse embryonic stem cells (ESCs). Microfluidic encapsulation of ESCs in agarose microgels stabilized the naive pluripotency network and specifically induced expression of Plakoglobin (Jup), a vertebrate homologue of {beta}-catenin. Indeed, overexpression of Plakoglobin was sufficient to fully re-establish the naive pluripotency gene regulatory network under metastable pluripotency conditions, as confirmed by single-cell transcriptome profiling. Finally, we found that in the epiblast, Plakoglobin was exclusively expressed at the blastocyst stage in human and mouse embryos - further strengthening the link between Plakoglobin and naive pluripotency in vivo. Our work reveals Plakoglobin as a mechanosensitive regulator of naive pluripotency and provides a paradigm to interrogate the effects of volumetric confinement on cell-fate transitions. HighlightsO_LI3D agarose spheres stabilize the naive pluripotency network in mouse ESCs. C_LIO_LIVolumetric confinement induces expression of Plakoglobin, a vertebrate homologue of {beta}-catenin. C_LIO_LIPlakoglobin expression in the epiblast is specific to pre-implantation human and mouse embryos. C_LIO_LIPlakoglobin overexpression maintains naive pluripotency independently of {beta}-catenin. C_LI

developmental biology↗

bioRxiv2020

Cell surface fluctuations regulate early embryonic lineage sorting

In development, lineage segregation of multiple lineages must be coordinated in time and space. An important example is the mammalian inner cell mass (ICM), in which the primitive endoderm (PrE, founder of the yolk sac) physically segregates from the epiblast (EPI, founder of the foetus). The physical mechanisms that determine this spatial segregation between EPI and PrE are still poorly understood. Here, we identify an asymmetry in cell-cell affinity, a mechanical property thought to play a significant role in tissue sorting in other systems, between EPI and PrE precursors (pEPI and pPrE). However, a computational model of cell sorting indicated that these differences alone appeared insufficient to explain the spatial segregation. We also observed significantly greater surface fluctuations in pPrE compared to pEPI. Including the enhanced surface fluctuation in pPrE in our simulation led to robust cell sorting. We identify phospho-ERM regulated membrane tension as an important mediator of the increased surface fluctuations in pPrE. Using aggregates of engineered cell lines with different surface fluctuation levels cells with higher surface fluctuations were consistently excluded to the outside of the aggregate. These cells behaved similarly when incorporated in the embryo. Surface fluctuations-driven segregation is reminiscent of activity-induced phase separation, a sorting phenomenon in colloidal physics. Together, our experiments and model identify dynamic cell surface fluctuations, in addition to static mechanical properties, as a key factor for orchestrating the correct spatial positioning of the founder embryonic lineages.

developmental biology↗

bioRxiv2020

Illuminating chromatin compaction in live cells and fixed tissues using SiR-DNA fluorescence lifetime

The global compaction state of chromatin in a nucleus is an important component of cell identity that has been difficult to measure. We have developed a quantitative method to measure the chromatin compaction state in both live and fixed cells, without the need for genetic modification, using the fluorescence lifetime of SiR-DNA dye. After optimising this method using live cancer cell lines treated to induce chromatin compaction or decompaction, we observed chromatin compaction in differentiating epithelial cells in fixed tissue sections, as well as local decompaction foci that may represent transcription factories. In addition, we shed new light on chromatin decompaction during embryonic stem cell transition out of their naive pluripotent state. This method will be useful to studies of nuclear architecture, and may be easy, cheap, and accessible enough to serve as a general assay of stem-ness.

cell biology↗

bioRxiv2020

Microfluidic platform for live cell imaging of 3D cultures with clone retrieval

Combining live imaging with the ability to retrieve individual cells of interest remains a technical challenge. These combined methods are of particular interest when studying highly dynamic or transient, asynchronous or heterogeneous cell biological and developmental processes. Here we present a method to encapsulate live cells in a 3D hydrogel matrix, via droplet compartmentalisation. Using a small-scale screen, we optimised matrix conditions for the culture and multilineage differentiation of mouse embryonic stem (ES) cells. Moreover, we designed a custom microfluidic platform that is compatible with live imaging. With this platform we are able to retain or extract individual bead/droplets by media flow only, obviating the need for enzymatic cell removal from the platform. We show that we can differentiate mES cells, monitor reporter expression by live imaging, and retrieve individual droplets for functional assays, correlating reporter expression with functional response. Overall, we present a highly flexible 3D cell encapsulation and microfluidic platform that enables both monitoring of cellular dynamics and retrieval for molecular and functional assays.

bioengineering↗

bioRxiv2018

Force-based three-dimensional model predicts mechanical drivers of cell sorting

Many biological processes, including tissue morphogenesis, are driven by mechanical sorting. However, the primary mechanical drivers of cell sorting remain controversial, in part because there remains a lack of appropriate threedimensional computational methods to probe the mechanical interactions that drive sorting. To address this important issue, we developed a three-dimensional, local force-based simulation method to enable such investigation into the sorting mechanisms of multicellular aggregates. Our method utilises the subcellular element method, in which cells are modeled as collections of locally-interacting force-bearing elements, accommodating cell growth and cell division. We define two different types of intracellular elements, assigning different attributes to boundary elements to model a cell cortex, which mediates the interfacial interaction between different cells. By tuning interfacial adhesion and tension in each cell cortex, we can control and predict the degree of sorting in cellular aggregates. The method is validated by comparing the interface areas of simulated cell doublets to experimental data and to previous theoretical work. We then define numerical measures of sorting and investigate the effects of mechanical parameters on the extent of sorting in multicellular aggregates. Using this method, we find that a minimum adhesion is required for differential interfacial tension to produce inside-out sorting of two cell types with different mechanical phenotypes. We predict the value of the minimum adhesion, which is in excellent agreement with observations in several developmental systems. We also predict the level of tension asymmetry needed for robust sorting. The generality and flexibility of the method make it applicable to tissue self-organization in a myriad of biological processes, such as tumorigenesis and embryogenesis.

biophysics↗