Biology subjects

Hensgens, M. N. F.

Publications and source records attributed to Hensgens, M. N. F..

3 recordsLinked to original sources

bioRxiv2026

Mechanically induced pre-mitotic nuclear deformations promote nuclear rupture through lamin B1 depletion

Disassembly of the nuclear lamina is essential for successful mitosis in eukaryotic cells, but the mechanism that triggers the lamina breakdown remains unclear. Using 3D fluorescence microscopy imaging combined with 3D curvature analysis, we found that microtubule-dependent invaginations trigger lamina remodelling and lamin B1 network disruption. Monte Carlo simulations provide mechanistic insight into how those invaginations induce a mechanical discontinuity between isotropic expansion and anisotropic shrinking forces at the rim of the nucleus, which correlated with lamin B1 depletion sites and the location of cytoplasmic protein influx within the nucleus. Our findings suggest that pre-mitotic modifications of the lamina function as a mechanical trigger to facilitate nuclear rupture and are thereby a key driver of mitotic entry, complementing established biochemical pathways.

cell biology↗

bioRxiv2026

Expression levels and dimer abundance of lamin A/C direct nuclear shape integrity in malignant cancer cells

Abnormalities in nuclear morphology are an important diagnostic tool to determine malignancy in cancer cells and are characterised by nuclear blebbing and deformations. Nuclear shape is mostly maintained by a dense protein meshwork of lamins, consisting of 4 lamin subtypes, of which the individual contribution to nuclear shape maintenance remains elusive. In this study, we decouple the roles of lamin A, C, and B1 across cancer cell lines with varying malignant potential (HeLa, HT1080, and MDA-MB-231). Using single-cell correlation analysis, we directly link reduced lamin A/C, and not lamin B1, expression levels to nuclear deformability. We found that the nuclear shape of the more malignant MDA-MB-231 cells is approximately 4-fold more sensitive to lamin A/C than HeLa and HT1080 cells. Biochemical analyses reveal cell-type-specific variation in lamin A/C interactions and homodimer formation that correlates with nuclear shape deformations. In contrast to healthy mouse embryonic fibroblast cells, malignant cells exhibit reduced dimerisation, which correlates with nuclear deformability. As such, our study links, for the first time, the lamin A/C dimerisation state to nuclear abnormalities, thereby providing new avenues for investigating cancer progression.

cell biology↗

bioRxiv2024

Depth-dependent scaling of axial distances in light microscopy

In volume fluorescence microscopy, refractive index matching is essential to minimize aberrations. There are however, common imaging scenarios, where a refractive index mismatch (RIM) between immersion and sample medium cannot be avoided. This RIM leads to an axial deformation in the acquired image data. Over the years, different axial scaling factors have been proposed to correct for this deformation. While some reports have suggested a depth-dependent axial deformation, so far none of the scaling theories has accounted for a depth-dependent, non-linear scaling. Here, we derive an analytical theory based on determining the leading constructive interference band in the objective lens pupil under RIM. We then use this to calculate a depth-dependent re-scaling factor as a function of the numerical aperture (NA), the refractive indices n1 and n2, and the wavelength{lambda} . We compare our theoretical results with wave-optics calculations and experimental results obtained using a novel measurement scheme for different values of NA and RIM. As a benchmark, we recorded multiple datasets in different RIM conditions, and corrected these using our depth-dependent axial scaling theory. Finally, we present an online web applet that visualizes the depth-dependent axial re-scaling for specific optical setups. In addition, we provide software which will help microscopists to correctly re-scale the axial dimension in their imaging data when working under RIM.

biophysics↗