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Biology subjects

Kapitein, L. C.

Publications and source records attributed to Kapitein, L. C..

At least 19 recordsLinked to original sources

Rapid removal of nuclear aggregates via proteasome- and VCP-dependent disaggregation

Cells use multiple protein quality control (PQC) mechanisms to counteract the toxic effects of protein aggregation caused by cellular stress, ageing or disease. While it is known that PQC mechanisms differ between cellular compartments, studying such differences has remained challenging. Previously, we developed an assay to study cytosolic PQC using aggregates formed through chemically-induced dimerization (termed PIMs, particles induced by multimerization). Here, we introduce nuclear PIMs as a tool to study nuclear quality control. Using high-resolution and high-throughput imaging, we show that nuclear aggregate removal depends on the proteasome and the unfoldase VCP, but not on Hsp70. Strikingly, following dissolution many PIM subunits were exported to the cytosol via exportin-1-dependent shuttling, indicating that disaggregation and resolubilization dominated over degradation. Proteasomal disaggregation was confirmed using live-cell turnover experiments. Together, these findings reveal a mechanism in which the proteasome and VCP disaggregate, rather than degrade, nuclear protein aggregates, with the resulting subunits subsequently cleared via cytosolic aggrephagy.

cell biology↗

Multiscale three-dimensional ultrastructural mapping of intestinal tissues and organoids

Understanding cell biology in native environments requires imaging of subcellular organization in three dimensions. In the intestinal epithelium, multiple cell types organize along the crypt-villus axis, where cell-cell interfaces and subcellular architecture control cell differentiation, tissue organization and epithelial function. Resolving these features volumetrically remains challenging: light microscopy offers molecular specificity but has limited resolution, whereas electron microscopy provides ultrastructural detail but is poorly suited to volumetric acquisition combined with specific protein labeling. Here, we show that expansion microscopy enables the multiscale volumetric study of epithelial ultrastructure in tissue sections and organoid models. Using an optimized workflow, we resolve epithelial tissue architecture, cell types and subcellular features within volumes across scales. Application to a microvillus inclusion disease (MVID) organoid model revealed disease-associated ultrastructural phenotypes that were only observed using electron microscopy. Our results establish expansion microscopy as key technology for studying three-dimensional cell biology within intestinal tissue and tissue mimics.

cell biology↗

System Identification and Control for Optogenetics in Mammalian Nucleocytoplasmic Transport

Optogenetics enables experiments in out-of-equilibrium conditions to clarify biological mechanisms and quantify biophysical parameters. However, modelling and control techniques to study mammalian cell biology under optogenetic perturbation remain underutilised. Here, we benchmark these methods within mammalian cells by steering nucleocytoplasmic transport via the optogenetic LEXY protein in outcome-driven microscopy. First, we employ system identification to obtain models that predict transport dynamics by minimising the prediction error. We quantify this prediction accuracy for one biophysical model and two black-box models. Second, we evaluate closed-loop control efficacy by steering transport along a predefined trajectory using model-free Proportional Integral (PI) control, model-based Linear Quadratic Regulation (LQR) and Model Predictive Control (MPC). Both the predictive models and the applied control techniques demonstrate robust performance against cell-to-cell variation. This biological variation is quantified by the parameter distributions obtained from model identification with single-cell trajectories. While we show that model-free techniques such as PI and gain-scheduled PI achieve steering without explict model knowledge, predictive architectures offer better performance under this cell-to-cell variation and time-varying setpoints. Moreover, black-box predictive accuracy suggests that this model-based control is possible, even when explicit mechanistic understanding is missing. Ultimately, we demonstrate that predictive modelling and optogenetics enable quantitative characterisation and precise manipulation of mammalian cells, while offering practical guidelines for the implementation of these techniques. SIGNIFICANCEOptogenetics provides the unique ability to steer cellular processes with light. Variable and localised light inputs allow us to extract more data and guide living cells to specific states. Despite this potential, application of predictive modelling and control techniques with optogenetics remain underutilised in mammalian cell biology. Here, we benchmark these techniques within mammalian cells to steer nucleocytoplasmic transport. Benchmarking these techniques demonstrates their direct applicability to mammalian systems, enabling the extraction of new biological insight in outcome-driven microscopy.

bioengineering↗

A framework for the organization of microtubules in developing neurons

The development and physiology of neurons rely on their microtubule organization, which is characterized by plus-end-out oriented microtubules in the axon and a mix of plus-end-out and plus-end-in oriented microtubules in dendrites. This orientational pattern is established early in neuronal development and is tightly linked to axon-dendrite differentiation. Even though multiple potentially relevant mechanisms have been proposed, fundamental questions remain: How does the microtubule organization in neurons emerge, and how does a neuron develop a single axon and multiple dendrites? Here, we address these questions at two distinct, complementary levels: at a higher level by proposing a conceptual framework, in which we classify mechanisms into three categories based on how they contribute to the microtubule organization: orientational bias, parallel amplification, and polarization; at a lower level we build a biophysical model that incorporates multiple mechanisms of microtubule dynamics in a neuron, from which, using analytical calculations and simulations, we derive insights into the emergence of microtubule organization in developing neurons. We show that geometrical effects alone can confer a bias in microtubule orientation. Parallel amplification then enhances the resulting polarity. Coupling multiple neurites to a common cell body that serves as a shared reservoir of resources allows for a polarization mechanism that ensures that the microtubule organization of one neurite becomes axonal while all others are dendritic. This framework unifies diverse molecular observations and yields experimentally testable predictions about microtubule self-organization in early neuronal development. Author summaryNeurons communicate through long protrusions called neurites, which are of two types: dendrites, which receive signals, and axons, which send signals. Their development relies primarily on microtubules, which are polar filaments with two distinct ends, known as the plus and minus ends. Microtubules self-organize into functional architectures that are significantly different between axons and dendrites. In axons, all microtubules point their plus end away from the cell body, whereas in dendrites, they point either towards the cell body or have mixed orientations depending on the species. This orientation guides intracellular transport by motors and is closely linked to whether a neurite develops into an axon or a dendrite. Despite decades of research identifying individual mechanisms, the bigger picture behind the emergence of microtubule orientation in neurons remains unclear. Here, we construct a conceptual framework and a biophysical model to identify the principles underlying the emergence of microtubule orientation in developing neurons. Our conceptual framework provides a high-level perspective on how individual mechanisms influence microtubule organization in neurites. In our concrete biophysical model, we study a selection of mechanisms to gain specific, quantitative insight into the organizational process. We propose a minimal model of a neuron that exhibits neuronal polarization, giving rise to a single axon-like neurite and multiple dendrite-like ones, consistent with experimental observations. This in silico neuron helps to explain how neurons break symmetry during development and provides a systematic way to generate and test new hypotheses about neuronal polarity.

biophysics↗

Engineered microRNA feedback circuits enable tunable and autonomous control of synthetic receptor activity

Synthetic receptors are powerful tools for cellular engineering, yet their utility is often constrained by constitutive activity and the absence of natural feedback mechanisms that maintain cellular homeostasis. To address this, we engineered an autonomous regulatory circuit for synthetic Notch (synNotch) receptor activation using an orthogonal microRNA (miRNA)-mediated negative feedback mechanism in mammalian cells. Specifically, synNotch activation induces the expression of a synthetic miRNA that targets complementary sites engineered into the synNotch transcript, resulting in a self-limiting feedback loop. We demonstrate that synNotch repression positively correlates with the number of miRNA target sites integrated into the receptor transcript, enabling tunable control of receptor expression. Furthermore, flow cytometry and live-cell imaging analyses revealed effective suppression of synNotch expression following activation. Downstream target gene expression peaked at approximately 48 hours post-activation before gradually declining as the feedback circuit engaged. This approach achieves autonomous synthetic receptor regulation--eliminating the need for external intervention--and enables tunable response dynamics through rational circuit design. Our miRNA feedback strategy provides a generalizable platform for engineering self-regulating synthetic receptor systems with improved control and predictability for cellular engineering applications.

synthetic biology↗

Rab27-dependent egress of SARS-CoV-2 via secretory amphisomes

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of COVID-19, hijacks host cellular machinery to replicate and spread. Understanding how SARS-CoV-2 reorganizes host cell architecture to accommodate this is essential for elucidating its pathogenesis and identifying therapeutic targets. While the molecular mechanisms of SARS-CoV-2 entry are well characterized, the pathways governing viral egress remain incompletely understood. Conventional approaches such as transcriptomics and electron microscopy have provided valuable insights but lack the combined spatial and molecular resolution needed to map these processes within intact cells. Here, we apply Ten-fold Robust Expansion Microscopy (TREx) to visualize SARS-CoV-2-induced remodeling of the endolysosomal system in multiciliated cells of primary human airway epithelial tissue. This approach reveals Golgi fragmentation and the formation of enlarged virus-containing organelles. Analysis of endolysosomal markers in Vero E6 cells shows that these structures are positive for CD63, Rab7, and LC3, consistent with amphisome identity. Moreover, pharmacological inhibition of Rab27-dependent amphisome-plasma membrane fusion with Nexinhib20 reduces viral infection, implicating secretory autophagy as a pathway for SARS-CoV-2 egress. These findings establish expansion microscopy as a powerful tool for spatial virology and uncover a Rab27-mediated amphisome fusion mechanism as a druggable route for SARS-CoV-2 release.

cell biology↗

Microtubule organization and molecular architecture of ciliary basal bodies in multiciliated airway cells

Microtubule organization depends on cell type and function. Microtubule networks of many differentiated cell types, such as epithelial cells, are poorly understood due to their high density. Here, we used expansion microscopy to quantitatively describe the three-dimensional organization of the microtubule network in human airway multiciliated cells. In these cells, most apical and apicobasal microtubules nucleate and anchor at the basal foot, a part of the ciliary basal body. Using a newly developed volumetric averaging tool, we generated a high-resolution 3D map of the basal body, delineating the position of structural components and proteins involved in microtubule nucleation and anchoring. {gamma}-TuRC, its binding partners NEDD1 and Augmin/HAUS, and centriolar appendage proteins ninein and AKNA localize to the basal foot. Functional analyses demonstrated that NEDD1, but not ninein or HAUS are essential for basal foot-dependent microtubule organization. Our data reveal the distinct architecture of microtubule-organizing centers responsible for the formation of dense microtubule arrays in multiciliated cells.

cell biology↗

Smart Microscopy: Current Implementations and a Roadmap for Interoperability

Smart microscopy is transforming life sciences by automating experimental imaging workflows and enabling real-time adaptation based on feedback from images and other data streams. This shift increases throughput, improves reproducibility, and expands the functional capabilities of microscopes. However, the current landscape is highly fragmented. Academic researchers often develop custom solutions for specific scientific needs, while industry offerings are typically proprietary and tied to specific hardware. This diversity, while fostering innovation, also creates major challenges in interoperability, reproducibility, and standardization, which slows progress and adaption. This article presents a collaborative effort between academic and industry leaders to survey the current state of smart microscopy, highlight representative implementations, and identify common technical and organizational barriers. We propose a framework for greater interoperability based on shared standards, modular software design, and community-driven development. Our goal is to support collaboration across the field and lay the groundwork for a more connected, reusable, and accessible smart microscopy ecosystem. We conclude with a call to action for researchers, hardware developers, and institutions to join in building an open, interoperable foundation that will unlock the full potential of smart microscopy in life science research.

cell biology↗

Polarity reversal of stable microtubules during neuronal development

Neurons critically depend on long-distance transport orchestrated by motor proteins walking over their highly asymmetric microtubule cytoskeleton. These microtubules are organized uniformly in axons with their plus-end pointing away from the soma. In contrast, in the dendrites of vertebrate neurons, microtubules are of mixed polarity, but organized into bundles of uniform polarity with stable, long-lived microtubules preferentially oriented minus-end-out and dynamic microtubules oriented plus-end-out. This organization is thought to be essential for guiding selective transport into dendrites, yet how this organization is established is unclear. Here we use a combination of single molecule localization microscopy, expansion microscopy, and live-cell imaging to examine how the microtubule cytoskeleton is reorganized during neuronal development of cultured rat hippocampal neurons. We find that, while the youngest neurites contain microtubules of mixed polarity, stable microtubules are initially preferentially oriented plus-end-out. At this stage of development many stable microtubules are connected to the centrioles, providing an explanation for their plus-end out orientation in emerging neurites. In later stages, these microtubules are released from the centrioles and reorient by sliding between or within neurites to become progressively more minus-end-out. Moreover, prior to axon specification, we commonly observed already one or two minor neurites with an almost uniformly plus-end-out microtubule network, indicative of transient polarization. Together, our findings reveal how stable microtubules are reorganized to help establish the stereotypical microtubule networks seen in the axon and dendrites of mature vertebrate neurons.

cell biology↗

Small molecule-directed differentiation of submerged-cultured human nasal airway epithelia for respiratory disease modelling

Submerged cultures of undifferentiated or transformed epithelial cells are widely used in respiratory research due to their ease of use and scalability. However, these systems fail to capture the cellular diversity of the human airway epithelium. In this study, we developed an in vitro model where cryopreserved human nasal epithelial cells, collected by brushings, are differentiated under submerged conditions on standard plastic cultureware. By applying small-molecule inhibitors targeting Notch and BMP signaling, we achieved efficient differentiation of cultures containing basal, secretory, and ciliated cells. This approach supports scalable culturing of both 2D epithelial monolayers and 3D organoids, validated as (personalized) disease models for primary ciliary dyskinesia, cystic fibrosis, and respiratory syncytial virus infection. This model offers a cost-effective, scalable platform that combines the simplicity of traditional cultures with the cellular complexity of the human airway epithelium, providing a valuable tool for respiratory disease research.

cell biology↗

Spherical harmonics texture extraction for versatile analysis of biological objects

The characterization of phenotypes in cells or organisms from microscopy data largely depends on differences in the spatial distribution of image intensity. Multiple methods exist for quantifying the intensity distribution - or image texture - across objects in natural images. However, many of these texture extraction methods do not directly adapt to 3D microscopy data. Here, we present Spherical Texture extraction, which measures the variance in intensity per angular wavelength by calculating the Spherical Harmonics or Fourier power spectrum of a spherical or circular projection of the angular mean intensity of the object. This method provides a 20-value characterization that quantifies the scale of features in the spherical projection of the intensity distribution, giving a different signal if the intensity is, for example, clustered in parts of the volume or spread across the entire volume. We apply this method to different systems and demonstrate its ability to describe various biological problems through feature extraction. The Spherical Texture extraction characterizes biologically defined gene expression patterns in Drosophila melanogaster embryos, giving a quantitative read-out for pattern formation. Our method can also quantify morphological differences in Caenorhabditis elegans germline nuclei, which lack a predefined pattern. We show that the classification of germline nuclei using their Spherical Texture outperforms a convolutional neural net when training data is limited. Additionally, we use a similar pipeline on 2D cell migration data to extract polarization direction, quantifying the alignment of fluorescent markers to the migration direction. We implemented the Spherical Texture method as a plugin in ilastik, making it easy to install and apply to any segmented 3D or 2D dataset. Additionally, this technique can also easily be applied through a Python package to provide extra feature extraction for any object classification pipeline or downstream analysis. Author summaryWe introduce a novel method to extract quantitative data from microscopy images by precisely measuring the distribution of intensities within objects in both 3D or 2D. This method is easily accessible through the object classification workflow of ilastik, provided the original image is segmented into separate objects. The method is specifically designed to analyze mostly convex objects, focusing on the variation in fluorescence intensity caused by differences in their shapes or patterns. We demonstrate the versatility of our method by applying it to very different biological samples. Specifically, we showcase its effectiveness in quantifying the patterning in D. melanogaster embryos, in classifying the nuclei in C. elegans germlines, and in extracting polarization information from individual migratory cells. Through these examples, we illustrate that our technique can be employed across different biological scales. Furthermore, we highlight the multiple ways in which the data generated by our method can be used, including quantifying the strength of a specific pattern, employing machine learning to classify diverse morphologies, or extracting directionality or polarization from fluorescence intensity.

bioinformatics↗

Aurora B controls microtubule stability to regulate abscission dynamics in stem cells

Abscission is the last step of cell division leading to the complete separation of the two sister cells and consists of the cutting of a cytoplasmic bridge. Abscission is mediated by the ESCRT membrane remodeling machinery which also triggers the severing of a thick bundle of microtubules that needs to be cleared prior to abscission. Here, we show that rather than being passive actors in abscission, microtubules control abscission speed. Using mouse embryonic stem cells, which transition from slow to fast abscission during exit from naive pluripotency, we investigate the molecular mechanism for the regulation of abscission dynamics and identify a feedback loop between the activity of Aurora B and microtubule stability. We demonstrate that naive stem cells maintain high Aurora B activity after cytokinesis. This high Aurora B activity leads to transient microtubule stabilization that delays abscission. In turn, stable microtubules promote the activity of Aurora B. When cells exit naive pluripotency, a decrease in Wnt signaling leads to a decrease in the activity of Aurora B, less stable microtubules, and a faster abscission. Overall, our data demonstrate that Aurora B-dependent microtubule stability controls abscission dynamics.

cell biology↗

GelMap: Intrinsic calibration and deformation mapping for expansion microscopy

Expansion microscopy (ExM) is a powerful technique to overcome the diffraction limit of light microscopy by physically expanding biological specimen in three dimensions. Nonetheless, using ExM for quantitative or diagnostic applications requires robust quality control methods to precisely determine expansion factors and to map deformations due to anisotropic expansion. Here we present GelMap, a flexible workflow to introduce a fluorescent grid into pre-expanded hydrogels that scales with expansion and reports deformations. We demonstrate that GelMap can be used to precisely determine the local expansion factor and to correct for deformations without the use of cellular reference structures or pre-expansion ground truth images. Moreover, we show that GelMap aids sample navigation for correlative uses of expansion microscopy. Finally, we show that GelMap is compatible with expansion of tissue and can be readily implemented as a quality control step into existing ExM workflows.

cell biology↗

Axonal ER tubules regulate local translation via P180/RRBP1-mediated ribosome interactions

Local mRNA translation in axons is critical for the spatial and temporal regulation of the axonal proteome. A wide variety of mRNAs are localized and translated in axons, however how protein synthesis is regulated at specific subcellular sites in axons remains unclear. Here, we establish that the axonal endoplasmic reticulum (ER) supports axonal translation. Axonal ER tubule disruption impairs local translation and ribosome distribution. Using nanoscale resolution imaging, we find that ribosomes make frequent contacts with ER tubules in the axon in a translation-dependent manner and are influenced by specific extrinsic cues. We identify P180/RRBP1 as an axonally distributed ribosome receptor that regulates local translation in an mRNA-dependent manner. Our results establish an important role for the axonal ER in localizing mRNA translation and in dynamically regulating the axonal proteome in response to neuronal stimuli.

neuroscience↗

Nuclear poly-glutamine aggregates rupture the nuclear envelope and hinder its repair

Huntingtons disease (HD) is caused by a poly-glutamine expansion of the huntingtin protein, resulting in the formation of poly-glutamine aggregates. The mechanisms of toxicity that result in the complex HD pathology remain only partially understood. Here we show that nuclear polyglutamine aggregates deform the nuclear envelope (NE) and induce NE ruptures that are often repaired incompletely. These ruptures coincide with deformations of the nuclear lamina and lead to lamina scar formation. Expansion microscopy enabled resolving the ultrastructure of nuclear aggregates and revealed polyglutamine fibrils sticking into the cytosol at rupture sites, suggesting a mechanism for incomplete repair. These findings implicate nuclear polyQ aggregate-induced loss of NE integrity as a potential contributing factor to Huntingtons disease and other polyglutamine diseases. One-sentence summaryAggregates associated with Huntingtons Disease induce ruptures of the nuclear envelop that compromise its barrier function

cell biology↗

Direct observation of motor protein stepping in living cells using MINFLUX

Dynamic measurements of molecular machines can provide invaluable insights into their mechanism, but have been challenging in living cells. Here, we developed live-cell tracking of single fluorophores with nanometer spatial and millisecond temporal resolution in 2D and 3D using the recently introduced super-resolution technique MINFLUX. This allowed us to resolve the precise stepping motion of the motor protein kinesin-1 as it walks on microtubules in living cells. In addition, nanoscopic tracking of motors on microtubule of fixed cells enabled us to resolve their spatial organization with protofilament resolution. Our approach will enable future in vivo studies of motor protein kinetics in complex environments and super-resolution mapping of dense microtubule arrays, and pave the way towards monitoring functional conformational changes of protein machines at high spatiotemporal resolution in living systems.

biophysics↗

The SARS-CoV-2 accessory factor ORF7a downregulates MHC class I surface expression

The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in over 500 million infections and more than six million deaths worldwide. Although the viral genomes of SARS-CoV-1 and SARS-CoV-2 share high sequence homology, the clinical and pathological features of COVID-19 differ profoundly from those of SARS. It is apparent that changes in viral genes contribute to the increased transmissibility of SARS-CoV-2 and pathology of COVID-19. Cytotoxic T lymphocytes play a key role in the elimination of virus-infected cells, mediated by recognition of virus-derived peptides that are presented on MHC class I molecules. Here, we show that SARS-CoV-2 can interfere with antigen presentation thereby evading immune surveillance. SARS-CoV-2 infection of monkey and human cell lines resulted in reduced cell-surface expression of MHC class I molecules. We identified a single viral gene product, the accessory factor open reading frame 7a (ORF7a), that mediates this effect. ORF7a interacts with HLA class I molecules in the ER, resulting in ER retention or impaired HLA heavy chain (HC) trafficking to the Golgi. Ultimately, these actions result in reduced HLA class I surface expression on infected cells. Whereas ORF7a from SARS-CoV-2 reduces surface HLA class I levels, the homologous ORF7a from the 2002 pandemic SARS-CoV-1 did not, suggesting that SARS-CoV-2 ORF7a acquired the ability to downregulate HLA-I during evolution of the virus. We identified a single amino acid in the SARS-CoV-1 ORF7a luminal domain that, upon mutating to the corresponding SARS-CoV-2 ORF7a sequence, induced a gain-of-function in HLA surface downregulation. By abrogating HLA class I antigen presentation via ORF7a, SARS-CoV-2 may evade host immune responses by inhibiting anti-viral cytotoxic T cell activity, thereby contributing to the pathology of COVID-19.

microbiology↗

Increased microtubule lattice spacing correlates with selective binding of kinesin-1 in cells

Within the cell cargo is transported via motor proteins walking along microtubules. The affinity of motor proteins for microtubules is controlled by various layers of regulation like tubulin isoforms, post- translational modifications and microtubule associated proteins. Recently, the conformation of the microtubule lattice has also emerged as a potential regulatory factor, but to what extent it acts as an additional layer of regulation has remained unclear. In this study, we used cryo-correlative light and electron microscopy to study microtubule lattices inside cells. We find that, while most microtubules have a compacted lattice ([~]41 [A]), a significant proportion of the microtubule cores have expanded lattice spacings and that these lattice spacings could be modulated by the microtubule stabilizing drug Taxol. Furthermore, kinesin-1 predominantly binds microtubules with a more expanded lattice spacing ([~]41.6 [A]). The different lattice spacings present in the cell can thus act as an additional factor that modulates the binding of motor proteins to specific microtubule subsets.

molecular biology↗