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Biology subjects

Ruebsam, M.

Publications and source records attributed to Ruebsam, M..

4 recordsLinked to original sources

Local mechanical heterogeneity drives epidermal cell delamination

Delamination within stratified epithelia like the skin epidermis describes the detachment and upward motion of cells originating from the basal layer. Despite its fundamental importance for tissue development, homeostatic regeneration and repair, the mechanisms that drive delamination remain a longstanding open question. Upward motion follows cell shape changes, which are inherently driven by physical forces, but their role is elusive. Here, we investigate delamination in stratifying keratinocytes by combining imaging, force measurements and theoretical modeling. We identify a local change in force balance between differentiating cells and their environment as the key step initiating delamination. Within a homogeneous cell layer with apically polarized contractility, differentiation leads to actomyosin remodeling, redistributing cellular force exertion to the basal side. Such mechanical heterogeneity then results in differentiating cells experiencing and inward basal and outward apical forces that manifest in the formation of a +1 force defect and promote shape changes culminating in upward motion. Simultaneously, delaminating cells actively pull on their underlying neighbors, generating convergent tissue flows which close the basal layer below. Together, we propose a general physical description of delamination initiation, which may act across various multilayered epithelia.

biophysics↗

Tissue-scale mechanics controls differentiation strategy and dynamics of epithelial multilayering

Generating and maintaining multilayered epithelia requires coordinated cell division, differentiation, and tissue architecture, yet the precise mechanisms of multilayering remain unclear. Using the developing mouse epidermis, we show that basal stem cells adopt distinct multilayering strategies depending on tissue mechanics. Combining quantitative morphometry, embryo live imaging and physical modeling, we observe that early in development, the epidermis is fluid-like, allowing undifferentiated cells to move suprabasally through perpendicular divisions or basal detachment before differentiating. As the tissue matures and rigidifies, a mechanical barrier is established that only allows upward movement of basal cells that have committed to differentiation. The final step of this commitment is delamination that requires Notch signaling, triggered by increased tissue stiffness and jamming. This mechanical regulation orchestrates a feedback loop that induces cell upward motion precisely when the basal layer becomes crowded. Together, our findings identify tissue mechanics as the key determinant of how tissues drive multilayering and reveal mechanically regulated Notch signaling as a driver of epidermal delamination.

cell biology↗

Novel, postnatal manifestation of an epidermal barrier defect in a mouse model of isolated sulfite oxidase deficiency

Sulfite oxidase deficiency is a rare inborn error in metabolism leading to early childhood death due to rapidly progressing neurodegeneration. A new mouse model of sulfite oxidase deficiency carrying a homozygous deletion in the Suox gene resembles the human pathology in terms of neonatal death and elevation of sulfite and thiosulfate in plasma and urine, respectively. Homozygous Suox-/- mice are initially born healthy, display growth retardation starting at postnatal day 4 and die in average at day 9.6. Here we report that Suox-/- mice develop dry and scaly skin early postnatally, showing that sulfite oxidase is essential to maintain a functional skin barrier after birth. At postnatal day 5 Suox-/- mice develop altered epidermal morphology and dysregulated early and late keratinocyte differentiation accompanied by increased stress response. We propose a sulfite-induced cleavage of disulfide bonds in key epidermal proteins essential for a functional barrier.

biochemistry↗

ZygosityPredictor

SummaryZygosityPredictor provides functionality to evaluate how many copies of a gene are affected by mutations in next generation sequencing data. In cancer samples, the tool processes both somatic and germline mutations. In particular, ZygosityPredictor computes the number of affected copies for single nucleotide variants and small insertions and deletions (Indels). In addition, the tool integrates information at gene level via phasing of several variants and subsequent logic to derive how strongly a gene is affected by mutations and provides a measure of confidence. This information is of particular interest in precision oncology, e.g. when assessing whether unmutated copies of tumor-suppressor genes remain. Availability and implementationZygosityPredictor was implemented as an R-package and is available via Bioconductor at https://bioconductor.org/packages/ZygosityPredictor. Detailed documentation is provided in the vignette including application to an example genome.

bioinformatics↗