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Kumra Ahnlide, J.

Publications and source records attributed to Kumra Ahnlide, J..

4 recordsLinked to original sources

Mechanical memory of confinement pressure governs expansion size in epithelial monolayers

Epithelial tissues undergo rapid expansion during development, repair, and morphogenesis, yet how tissue-scale growth is coordinated to re-establish homeostasis remains unclear. Here, we show that large epithelial monolayers confined at a wide range of initial densities and mechanochemical states robustly converge to the same final size and density upon release, despite differences in initial cell size, YAP activity, and cell number dynamics. To investigate the underlying mechanism, we combined quantitative experiments with a mechanochemical agent-based model in which mechanical pressure arising from confinement acts as a tissue-scale signal that modulates intracellular cell-cycle activity over time. Using this framework, we show that transient mechanical relaxation during confinement selectively elevates cell-cycle activity in higher-density tissues at the time of release, accelerating early expansion without disrupting final homeostatic outcomes. Together, these results reveal how epithelial tissues coordinate collective growth and robustly restore homeostasis during expansion. SignificanceMechanisms that re-establish homeostasis and coordinate cell proliferation in expanding epithelial tissues such as during development and tissue regeneration remain poorly understood. Here, we used a large 2D epithelial expansion model and agent-based modelling to demonstrate history-dependent regulation of colony growth, mediated by pressure sensing. We find that, typically, equilibration of pressure during confinement just before the onset of expansion results in all expanding tissues of a given starting size reaching a target density and final size independent of starting cell numbers. By transiently reducing actomyosin contractility during confinement, we selectively accelerate the expansion of high-density tissues. Our findings provide key insights into physical mechanisms that govern organ development and tissue repair.

cell biology↗

Data-driven microscopy allows for automated targeted acquisition of relevant data withhigher fidelity

Light microscopy is a powerful single-cell technique that allows for quantitative spatial information at subcellular resolution. However, unlike flow cytometry and single-cell sequencing techniques, microscopy has issues achieving high-quality population-wide sample characterization while maintaining high resolution. Here, we present a general framework, data-driven microscopy (DDM), that uses population-wide cell characterization to enable data-driven high-fidelity imaging of relevant phenotypes. DDM combines data-independent and data-dependent steps to synergistically enhance data acquired using different imaging modalities. As proof-of-concept, we apply DDM with plugins for improved high-content screening and live adaptive microscopy. DDM also allows for easy correlative imaging in other systems with a plugin that uses the spatial relationship of the sample population for automated registration. We believe DDM will be a valuable approach for reducing human bias, increasing reproducibility, and placing singlecell characteristics in the context of the sample population when interpreting microscopy data, leading to an overall increase in data fidelity.

systems biology↗

Opsonization by non-neutralizing antibodies can confer protection to SARS-CoV-2 despite Spike-dependent modulation of phagocytosis

Spike-specific antibodies are central to effective COVID19 immunity. Research efforts have focused on antibodies that neutralize the ACE2-Spike interaction but not on non-neutralizing antibodies. Antibody-dependent phagocytosis is an immune mechanism enhanced by opsonization, where typically, more bound antibodies trigger a stronger phagocyte response. Here, we show that Spike-specific antibodies, dependent on concentration, can either enhance or reduce Spike-bead phagocytosis by monocytes independently of the antibody neutralization potential. Surprisingly, we find that both convalescent patient plasma and patient-derived monoclonal antibodies lead to maximum opsonization already at low levels of bound antibodies and is reduced as antibody binding to Spike protein increases. Moreover, we show that this Spike-dependent modulation of opsonization seems to affect the outcome in an experimental SARS-CoV-2 infection model. These results suggest that the levels of anti-Spike antibodies could influence monocyte-mediated immune functions and propose that non-neutralizing antibodies could confer protection to SARS-CoV-2 infection by mediating phago-cytosis.

immunology↗

Binding site localization on non-homogeneous cell surfaces using topological image averaging

Antibody binding to cell surface proteins plays a crucial role in immunity and the location of an epitope can altogether determine the immunological outcome of a host-target interaction. Techniques available today for epitope identification are costly, time-consuming, and unsuited for high-throughput analysis. Fast and efficient screening of epitope location can be useful for the development of therapeutic monoclonal antibodies and vaccines. In the present work, we have developed a method for imaging-based localization of binding sites on cellular surface proteins. The cellular morphology typically varies, and antibodies often bind in a non-homogenous manner, making traditional particle-averaging strategies challenging for accurate native antibody localization. Nanometer-scale resolution is achieved through localization in one dimension, namely the distance from a bound ligand to a reference surface, by using topological image averaging. Our results show that this method is well suited for antibody binding site measurements on native cell surface morphology.

immunology↗