Biology subjects

Remmert, K.

Publications and source records attributed to Remmert, K..

5 recordsLinked to original sources

bioRxiv2026

A myosin filament cage drives multiple aspects of mitosis unique to cells dividing within a polarized epithelium

Here we used mouse intestinal organoids expressing endogenously tagged myosin to clarify its roles in those aspects of mitosis unique to division within a polarized epithelium. Super-resolution imaging of rounded metaphase cells revealed a never-before-seen myosin filament cage that only forms in this context, exhibits apical/basal polarity, maintains roundness by resisting surrounding tissue pressure, and repositions laterally to form a contractile ring predetermined to drive planar division and asymmetric cleavage furrow progression. Attenuating cage function inhibited interkinetic nuclear migration and metaphase cell rounding, causing the division plane to shift from planar to orthogonal and resulting in organoids possessing multiple lumens. Following the apical domain marker ZO-1 showed that the new lumens originate at the interface between stacked daughter cells created by orthogonal divisions. We conclude that cells dividing within polarized epithelia create a myosin filament cage designed specifically to drive those aspects of cell division unique to their context.

cell biology↗

bioRxiv2026

Tumor-specific Kinase Motif Enrichment Analysis Identifies Personalized Therapeutic Cancer Targets

Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are an uncommon and poorly understood malignancy with low mutational burden, lacking well-defined oncogenic drivers. GEP-NET mortality frequently results from extensive hepatic metastases. Accordingly, we interrogated phosphoproteomic data from GEP-NET liver metastases and patient-matched uninvolved liver to identify tumor-specific signaling and targetable tumor vulnerabilities using Kinase Motif Enrichment Analysis (KMEA), a new tool leveraging the recent Kinase Library compendium of the substrate motif specificity for nearly the entire human kinome. KMEA identified patient tumor-specific upregulation of mTOR or casein kinase 2 (CK2) activity that would be undiscoverable by standard personalized genomic and transcriptomic approaches. Striking concordance was observed between KMEA predictions for specific tumors, and their sensitivity to inhibitors of mTOR or CK2 using patient tumor-derived organoids. These findings reveal potential clinically-actionable protein kinases hyperactivated in GEP-NETs, and more broadly indicate a general method for personalized cancer treatment using phosphoproteomics and KMEA-derived kinase activity signatures.

cancer biology↗

bioRxiv2025

A simple circuit to sustain intact tumor microenvironments for complex drug interrogations

Deep learning and large language models can integrate complex datasets to uncover biological insights that are often undetectable through conventional analyses. With application to translational cancer research, these computational tools have positioned 3D patient-derived tumor avatars front and center as crucial data input sources. However, a major challenge remains: the lack of standardization in media composition in 3D patient-derived tumor models unpredictably affects cell behavior and limit the utility beyond predicting treatment responses. To address this unmet need, we developed a simple, reproducible perfusion circuit system to approximate in vivo physiology using autologous patient plasma. With peritoneal metastases and core needle biopsies across multiple tumor histologies, we demonstrate preservation of the tumor microenvironment for up to 48 hours using multi-modal interrogation techniques. With proof-of-concept experiments, we display the systems ability to unveil complex drug-dependent biology within this time window. Standardizable, physiologically relevant platforms for 3D patient-derived tumor avatars will yield unprecedented insights through the integration of data from broad groups of patients and the use of an expanding armamentarium of artificial intelligence capabilities.

cancer biology↗

bioRxiv2025

Single cell spatial proteomics maps human liver zonation patterns and their vulnerability to fibrosis

Understanding protein distribution patterns across tissue architecture is crucial for deciphering organ function in health and disease. Here, we applied single-cell Deep Visual Proteomics to perform spatially-resolved proteome analysis of individual cells in native tissue. We combined this with a novel strategic cell selection pipeline and a continuous protein gradient mapping framework to investigate larger clinical cohorts. We generated a comprehensive spatial map of the human hepatic proteome by analyzing hundreds of individual hepatocytes from 18 individuals. Among more than 2,500 proteins per cell about half exhibited zonated expression patterns. Cross-species comparison with mouse data revealed conserved metabolic functions and human-specific features of liver zonation. Analysis of fibrotic samples demonstrated widespread disruption of protein zonation, with pericentral proteins being particularly susceptible. Our study provides a comprehensive resource of human liver organization while establishing a broadly applicable framework for spatial proteomics analyses along tissue gradients.

molecular biology↗

bioRxiv2020

Myosin 18Aα targets guanine nucleotide exchange factor β-Pix to dendritic spines of cerebellar Purkinje neurons to promote spine maturation

Dendritic spines are signaling microcompartments that serve as the primary site of synapse formation in neurons. Actin assembly and myosin 2 contractility play major roles in the maturation of spines from filopodial precursors, as well as in the subsequent, activity-dependent changes in spine morphology that underly learning and memory. Myosin 18A is a myosin 2-like protein conserved from flies to man that lacks motor activity, is sub-stochiometric to myosin 2, and co-assembles with myosin 2 to make mixed filaments. Myosin 18A is alternatively spliced to create multiple isoforms that contain unique N- and C-terminal extensions harboring both recognizable and uncharacterized protein: protein interaction domains. These observations suggest that myosin 18A serves to recruit proteins to mixed filaments of myosin 2 and myosin 18A. One protein known to bind to myosin 18A is {beta}-Pix, a guanine nucleotide exchange factor (GEF) for Rac1 and Cdc42. Notably, {beta}-Pix has been shown to promote spine maturation by activating both Arp2/3 complex-dependent branched actin filament assembly and myosin 2 contractility within spines. Here we show that myosin 18A is expressed in cerebellar Purkinje neurons and concentrates in spines along with myosin 2 and F-actin. Myosin 18A is targeted to spines by co-assembling with myosin 2 and by an actin binding site present in its N-terminal extension. miRNA-mediated knockdown of myosin 18A results in a significant defect in spine maturation that is rescued by an RNAi-immune version of myosin 18A. Importantly, {beta}-Pix co-localizes with myosin 18A in spines, and its spine localization is lost upon myosin 18A knockdown or when its myosin 18A binding site is deleted. Finally, we show that the spines of myosin 18A knockdown Purkinje neurons contain significantly less F-actin and myosin 2. Together, these data demonstrate that mixed filaments of myosin 2 and myosin 18A form a complex with {beta}-Pix in Purkinje neuron spines that promotes spine maturation by enhancing the assembly of actin and myosin filaments downstream of {beta}-Pixs GEF activity.

neuroscience↗