Biology subjects

Zwicker, D.

Publications and source records attributed to Zwicker, D..

9 recordsLinked to original sources

bioRxiv2025

3D multi-omic mapping of whole nondiseased human fallopian tubes at cellular resolution reveals a large incidence of ovarian cancer precursors

Uncovering the spatial and molecular landscape of precancerous lesions is essential for developing meaningful cancer prevention and early detection strategies. High-Grade Serous Carcinoma (HGSC), the most lethal gynecologic malignancy, often originates from Serous Tubal Intraepithelial Carcinomas (STICs) in the fallopian tubes, yet their minute size and our historical reliance on standard 2D histology contribute to their underreporting. Here, we present a spatially resolved, multi-omics framework that integrates whole-organ 3D imaging at cellular resolution with targeted proteomic, metabolomic, and transcriptomic profiling to detect and characterize microscopic tubal lesions. Using this platform, we identified a total of 99 STICs and their presumed precursors that harbor TP53 mutations in morphologically unremarkable tubal epithelium in all five specimens obtained from cancer-free organ donors with average-risk of developing ovarian cancer. Although these lesions comprised only 0.2% of the epithelial compartment, they displayed geographic diversity, immune exclusion, metabolic rewiring, and DNA copy number changes among lesions and normal fallopian tube epithelium discovered alterations in STIC-associated genes and the pathways they control. In sum, this platform provides a comprehensive 3D atlas of early neoplastic transformation, yielding mechanistic insights into tumor initiation and informing clinical screening strategies for detecting cancer precursors in whole organs at cellular resolution.

bioinformatics↗

bioRxiv2025

Controlling the Formation of Multiple Condensates in the Synapse

The postsynaptic density (PSD) is a molecule rich structure that continuously adapts its organization controlling synaptic physiology and transmission. Experimental studies have shown that this organization is dominated by the formation of condensates or (nano)clusters and by the seamless transition in their numbers as response to synaptic plasticity. In this study, we utilize different computational modeling frameworks to show that variations in the level of local protein concentrations together with the modulation of protein binding strengths can be key molecular factors in controlling the formation and number of clusters in the synapse. Comparison to MINFLUX data of spatial localization of PSD95 in the postsynapse under different activity conditions allowed us to derive predictions about the correlation between these two factors across a population of synapses. Co-variations of the factors, to mimic a simple LTP protocol, shows that a PSD containing a single cluster can reorganize to form multiple clusters that persists for long periods of time, providing a potential explanation of recent experimental data of PSD reorganization.

molecular biology↗

bioRxiv2024

Interference Length reveals regularity of crossover placement across species

Crossover interference is a phenomenon that affects the number and positioning of crossovers in meiosis and thus affects genetic diversity and chromosome segregation. Yet, the underlying mechanism is not fully understood, partly because quantification is difficult. To overcome this challenge, we introduce the interference length Lint that quantifies changes in crossover patterning due to interference. We show that it faithfully captures known aspects of crossover interference and provides superior statistical power over previous methods. We apply our analysis to empirical data and unveil a similar behavior of Lint across species, which hints at a common mechanism. A recently proposed coarsening model generally captures these aspects, providing a unified view of crossover interference. Consequently, Lint facilitates model refinements and general comparisons between alternative models of crossover interference.

genetics↗

bioRxiv2023

Power-law growth models explain incidences and sizes of pancreatic cancer precursor lesions and confirm spatial genomic findings

Pancreatic ductal adenocarcinoma is a rare but lethal cancer. Recent evidence reveals that pancreatic intraepithelial neoplasms (PanINs), the microscopic precursor lesions in the pancreatic ducts that can give rise to invasive pancreatic cancer, are significantly larger and more prevalent than previously believed. Better understanding of the growth law dynamics of PanINs may improve our ability to understand how a miniscule fraction of these lesions makes the transition to invasive cancer. Here, using artificial intelligence (AI)-based three-dimensional (3D) tissue mapping method, we measured the volumes of >1,000 PanIN and found that lesion size is distributed according to a power law with a fitted exponent of -1.7 over > 3 orders of magnitude. Our data also suggest that PanIN growth is not very sensitive to the pancreatic microenvironment or an individuals age, family history, and lifestyle, and is rather shaped by general growth behavior. We analyze several models of PanIN growth and fit the predicted size distributions to the observed data. The best fitting models suggest that both intraductal spread of PanIN lesions and fusing of multiple lesions into large, highly branched structures drive PanIN growth patterns. This work lays the groundwork for future mathematical modeling efforts integrating PanIN incidence, morphology, genomic, and transcriptomic features to understand pancreas tumorigenesis, and demonstrates the utility of combining experimental measurement of human tissues with dynamic modeling for understanding cancer tumorigenesis.

biophysics↗

bioRxiv2023

Optimized dimerization of the PAR-2 RING domain drives cooperative and selective membrane recruitment for robust feedback-driven cell polarization

The behavior of cell polarity networks is defined by the quantitative features of their constituent feedback circuits, which must be tuned to enable robust and stable polarization, while also ensuring that networks remain responsive to dynamically changing cellular states and/or spatial cues that arise during development. Using the PAR polarity network as a model, we demonstrate that these features are enabled by dimerisation of the polarity protein PAR-2 via ubiquitin-independent function of its N-terminal RING domain. Specifically, we combine theory and experiment to show that dimer affinity is optimized to achieve dynamic, selective, and cooperative recruitment of PAR-2 to the plasma membrane during polarization. Reducing dimerization results in loss of positive feedback and compromises robustness of symmetry-breaking, while enhanced dimerization renders the network less responsive due to kinetic trapping of PAR-2 on internal membranes and reduced sensitivity of PAR-2 to membrane displacement by the polarity kinase, aPKC/PKC-3. Thus, our data reveal how a dynamically oligomeric RING domain results in a cell polarity network that is both robust and responsive and highlight how tuning of oligomerization kinetics can serve as a general strategy for optimizing dynamic and cooperative intracellular targeting.

cell biology↗

bioRxiv2022

Dual control of meiotic crossover patterning

Most meiotic crossovers (COs), called class I crossovers, are produced by a conserved pathway catalyzed by the ZMM proteins; COs are limited in number, typically to 1-3 per chromosome, and are prevented from occurring close to one other by crossover interference1-3. In many species, CO number is subject to dimorphism between males and females, and a lower CO number is associated with shorter chromosome axes and stronger interference4. How the patterning of COs is imposed, however, remains poorly understood. Here, we show that overexpression of the ZMM protein HEI10 increases COs and reduces crossover interference but maintains sexual dimorphism; shorter axes length in female meiosis is still associated with fewer COs and stronger interference than in male meiocytes. Disrupting the synaptonemal complex (SC) by mutating ZYP1 also leads to an increase in class I COs but, in contrast, abolishes interference and disrupts the link between chromosome axis length and COs, with female and male meiocytes having the same CO frequency despite different axis lengths. Combining HEI10 overexpression and zyp1 mutation leads to a massive increase in class I COs and absence of interference, while axes lengths are still unaffected. These observations support, and can be effectively predicted by, a recently proposed coarsening model5,6 in which HEI10 diffusion is funneled by the central element of the SC before coarsening into large, well-spaced CO-promoting droplets. Given the conservation of the components, this model may account for CO patterning in many eukaryotes.

genetics↗

bioRxiv2021

Crossover patterning through kinase-regulated condensation and coarsening of recombination nodules

Meiotic recombination is highly regulated to ensure precise segregation of homologous chromosomes. Evidence from diverse organisms indicates that the synaptonemal complex (SC), which assembles between paired chromosomes, plays essential roles in crossover formation and patterning. Several additional "pro-crossover" proteins are also required for recombination intermediates to become crossovers. These typically form multiple foci or recombination nodules along SCs, and later accumulate at fewer, widely spaced sites. Here we report that in C. elegans CDK-2 is required to stabilize all crossover intermediates and stabilizes interactions among pro-crossover factors by phosphorylating MSH-5. Additionally, we show that the conserved RING domain proteins ZHP-3/4 diffuse along the SC and remain dynamic following their accumulation at recombination sites. Based on these and previous findings we propose a model in which recombination nodules arise through spatially restricted biomolecular condensation and then undergo a regulated coarsening process, resulting in crossover interference.

cell biology↗

bioRxiv2019

Mechanisms of active regulation of biomolecular condensates

Liquid-liquid phase separation is a key organizational principle in eukaryotic cells, on par with intracellular membranes. It allows cells to concentrate specific proteins into condensates, increasing reaction rates and achieving switch-like regulation. However, it is unclear how cells trigger condensate formation or dissolution and regulate their sizes. We predict from first principles two mechanisms of active regulation by post-translational modifications such as phosphorylation: In enrichment-inhibition, the regulating modifying enzyme enriches in condensates and the modifications of proteins inhibit their interactions. Stress granules, Cajal bodies, P granules, splicing speckles, and synapsin condensates obey this model. In localization-induction, condensates form around an immobilized modifying enzyme, whose modifications strengthen protein interactions. Spatially targeted condensates formed during transmembrane signaling, microtubule assembly, and actin polymerization conform to this model. The two models make testable predictions that can guide studies into the many emerging roles of biomolecular condensates.

cell biology↗

bioRxiv2018

Primacy coding facilitates effective odor discrimination when receptor sensitivities are tuned

The olfactory system faces the difficult task of identifying an enormous variety of odors independent of their intensity. Primacy coding, where the odor identity is encoded by the receptor types that respond earliest, is one possible representation that can facilitate this task. So far, it is unclear whether primacy coding facilitates typical olfactory tasks and what constraints it implies for the olfactory system. In this paper, we develop a simple model of primacy coding, which we simulate numerically and analyze using a statistical description. We show that the encoded information depends strongly on the number of receptor types included in the primacy representation, but only weakly on the size of the receptor repertoire. The representation is independent of the odor intensity and the transmitted information is useful to perform typical olfactory tasks, like detecting a target odor or discriminating similar mixtures, with close to experimentally measured performance. Interestingly, we find situations in which a smaller receptor repertoire is advantageous for identifying a target odor. The model also suggests that overly sensitive receptor types could dominate the entire response and make the whole array useless, which allows us to predict how receptor arrays need to adapt to stay useful during environmental changes. By quantifying the information transmitted using primacy coding, we can thus connect microscopic characteristics of the olfactory system to its overall performance.\n\nAuthor summaryHumans can identify odors independent of their intensity. Experimental data suggest that this is accomplished by representing the odor identity by the earliest responding receptor types. Using theoretical modeling, we here show that such a primacy code allows discriminating odors with close to experimentally measured performance. This performance depends strongly on the number of receptors considered in the primacy code, but the receptor repertoire size is less important. The model also suggests a strong evolutionary pressure on the receptor sensitivities, which could explain observed receptor copy number adaptations. Taken together, the model connects detailed molecular measurements to large-scale psycho-physical measurements, which will contribute to our understanding of the olfactory system.

neuroscience↗