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Biology subjects

Shagirov, M.

Publications and source records attributed to Shagirov, M..

3 recordsLinked to original sources

Co-evolution of spheroid fluidization and mechanical fracture in a morphogenic cascade

Cells migrate and invade tissues during development, immune responses, and cancer. Collective invasion is generally understood to be driven by invading cells unjamming and pushing through barriers such as the extracellular matrix and surrounding tissues. Whether these barriers actively contribute to invasion remains unclear. Using ovarian adenocarcinoma spheroids invading mesothelium derived from benign pleural effusions as an experimental model, combined with modelling, we examine invasion across molecular to multicellular scales. We identify intercellular integrin adhesions linking invasive leader cells to the tissue barrier, triggering apical constrictions within the barrier. This constriction shrinks cell-cell contacts, leading to barrier rupture. Thus, the tissue barrier plays a mechanically active role in invasion. Rather than cells pushing through, we find that coordinated subcellular contractility between the invading leader cell and the barrier drives barrier tensile rupture and invasion, independent of a jamming transition. Together, our findings challenge prevailing paradigms of collective cell invasion.

cell biology↗

Mechanics defines the spatial pattern of compensatory proliferation

The number of cells in tissues is tightly controlled by cell division and cell death, and misregulation of cell numbers could lead to pathological conditions such as cancer. To maintain cell numbers in a tissue, a cell elimination process named programmed cell death or apoptosis, stimulates the proliferation of neighboring cells. This mechanism is called apoptosis-induced compensatory proliferation, which was originally reported more than 40 years ago. While only a limited number of the neigboring cells need to divide to compensate for apoptotic cell loss, the mechanisms that select cells for undergoing division remain an open question. Here we found that the spatial inhomogeneity in mechanotransduction through a growth-promoting transcription co-activator Yes-associated protein (YAP) in the neighboring tissue, accounts for the inhomogeneity of compensatory proliferation. Such inhomogeneous mechanotransduction arises from the combination of the non-uniform distribution of nuclear size, which is inherent in tissues, and the non-uniform pattern of mechanical force applied to the neighboring cells upon apoptosis. Our findings from a mechanical perspective complement the current biochemical understanding of compensatory growth and provide additional insights into cellular functions of how tissue precisely maintains its homeostasis.

cell biology↗

Interfacial energy constraints are sufficient to align cells over large distances

During development and wound healing, cells need to form long-ranged ordered structures to ensure precise formation of organs and repair damage. This requires cells to locate specific partner cells to which to adhere. How such cell matching reliably happens is an open problem, particularly in the presence of biological variability. Here, we use an equilibrium energy model to simulate how cell matching can occur with subcellular precision. A single parameter - encapsulating the competition between selective cell adhesion and cell compressibility - can reproduce experimental observations of cell alignment in the Drosophila embryonic heart. This demonstrates that adhesive differences between cells (in the case of the heart, mediated by filopodia interactions) are sufficient to drive cell matching without requiring cell rearrangements. The biophysical model can explain observed matching defects in mutant conditions and when there is significant biological variability. We also demonstrate that a dynamic vertex model gives results consistent with the equilibrium energy model. Overall, this work shows that equilibrium energy considerations are consistent with observed cell matching in cardioblasts, and has potential application to other systems, such as neuron connections and wound repair. Statement of SignificanceCells often need to identify specific neighboring cells, such as during wound repair and forming neural connections. Here, we develop a biophysical model of such cell-cell interactions within the context of the developing heart. We demonstrate that precise cell matching can occur by minimizing the energy costs of interfacial interactions. This model can explain a breadth of experimental observations despite it being a steady-state approximation of a dynamic system. This opens the possibility that such approaches may be applicable to other systems, providing a powerful yet simple framework for understanding cell matching.

systems biology↗