Biology subjects

Haase, K.

Publications and source records attributed to Haase, K..

At least 19 recordsLinked to original sources

bioRxiv2026

ProPER: Programmable, multiplexed detection of molecular proximities and RNA life-cycle stages in situ

Proximity detection methods facilitate contextual analysis of biomolecules by reporting their microenvironment, spatial organization and molecular interactions. To expand these detection capabilities towards highly sensitive, quantitative, and multiplexed interaction mapping, we introduce Proximity Primer Exchange Reaction (ProPER). ProPER is a novel ligation-free proximity extension and controlled DNA amplification strategy that enables spatially resolved in situ detection of molecular proximities. In ProPER, extension of DNA barcodes into linear concatemers is made conditional on the spatial proximity of primer and hairpin pairs split across two targets, thereby enabling efficient coincidence or proximity detection with isothermal signal amplification for high-sensitivity imaging. The method is readily integrated with mainstream in situ assays such as immunofluorescence, FISH and metabolic labeling, and supports high-resolution visualization of diverse molecular modalities, including RNA-RNA or protein-protein interactions, even at dense labeling sites. Leveraging pre-validated orthogonal sequence pairs, ProPER allows simultaneous multiplexed detection of molecular proximities within the same cell and on the same target molecule. We applied multiplexed ProPER to resolve the life-cycle stages of individual RNA molecules. Quantitative tracking of transcriptional, splicing and translational states enabled construction of a kinetic model that identifies key regulatory steps driving differential expression kinetics of two inflammatory response genes. Overall, we establish ProPER as a versatile and efficient framework for in situ multiplexed proximity detection, overcoming key limitations of existing approaches. The programmable DNA encoding scheme enables advanced capabilities, such as proximity cascades and multivalent interaction detection, and provides a basis for integrating molecular proximity measurements into future combinatorial barcoding or spatial omics workflows.

molecular biology↗

bioRxiv2025

Mapping the magnetoreceptive brain: A 3D digital atlas of the migratory bird Eurasian blackcap (Sylvia atricapilla)

Birds undisputedly range amongst natures foremost navigators. To successfully navigate between breeding and wintering quarters, they, in addition to other natural orientation cues, rely on their ability to sense the Earths magnetic field. For this reason, migratory birds have become key model species for studying the sensory mechanisms underlying magnetic field-guided navigation, as evidenced by the identification of several brain regions believed to be involved in processing magnetic field information. However, there is as yet no readily accessible, high-resolution three-dimensional (3D) brain atlas to serve as a common reference within and across studies. Here we provide the neuroscience research community with the first freely available, digital, high-resolution (25 {micro}m), 3D bird brain atlas. It is based on light microscopy images from ten Eurasian blackcaps (Sylvia atricapilla), a night-migratory songbird widely used model species in magnetoreception and navigation research. We outline the individual steps for the creation of a brain atlas, from whole-brain imaging using serial-section, two-photon tomography, to the creation of an average template at an isotropic 25-{micro}m voxel size, and finally to brain area segmentation and annotation. In this first version of the atlas, we have mapped a total of 24 brain areas, including 6 principal compartments, 13 conspicuous anatomical subdivisions common to all bird species and 5 functionally defined areas of the visual and trigeminal sensory systems involved in processing magnetic field information. This atlas is accessible via the standardised BrainGlobe Atlas API, making it compatible with a growing suite of computational neuroanatomy tools provided by the BrainGlobe Initiative. This integration enables precise alignment of future experimental data to a common coordinate space, facilitating collaboration, data visualization and sharing. Furthermore, this resource enables the accurate localization and comparison of implanted devices, injection sites, and/or cell populations across individual brains, both within and across studies.

neuroscience↗

bioRxiv2024

Leveraging zebrafish embryo phenotypic observations to advance data-driven analyses in toxicology

Zebrafish have emerged as a central model organism in toxicological research. Zebrafish embryos are exempt from certain animal testing regulations which facilitates their use in toxicological testing. Next to the zebrafish embryo acute toxicity test (ZFET) according to the OECD TG 236, fish embryos are used in mechanistic investigations, chemical screenings, in ecotoxicology, and drug development. However, inconsistencies in the applied test protocols and the monitored endpoints in addition to a lack of standardized data formats, impede comprehensive meta-analyses and cross-study comparisons. To address these challenges, we developed the Integrated Effect Database for Toxicological Observations (INTOB), a comprehensive data management tool that standardizes collection of metadata and phenotypic observations using a controlled vocabulary. By incorporating data from more than 600 experiments into the database and subsequent comprehensive data analyses, we demonstrate its utility in improving the comparability and interoperability of toxicity data. Our results show that the ZFET can detect toxicity spanning seven orders of magnitude at the scale of effect concentrations. We also highlight the potential of read-across analyses based on morphological fingerprints and their connection to chemical modes of action, provide information on control variability of the ZFET, and highlight the importance of time for mechanistic understanding in chemical exposure-effect assessments. We provide the full FAIR dataset as well as the analysis workflow and demonstrate how professional data management, as enabled with INTOB, marks a significant advancement by offering a comprehensive framework for the systematic use of zebrafish embryo toxicity data, thus paving the way for more reliable, data-driven chemical risk assessment. SynopsisThis article shows how a novel data management tool for zebrafish embryo toxicity data advances comparative chemical risk assessment by enhancing data and metadata standardization, comparability, and cross-study analyses.

pharmacology and toxicology↗

bioRxiv2024

Inferring super-resolved spatial metabolomics from microscopy

Current spatial metabolomics techniques have transformed our understanding of cellular metabolism, yet accessible methods are limited in spatial resolution due to sensitivity constraints. MetaLens, a deep generative approach, disrupts this trade-off by quantitatively propagating cellular-resolution in situ imaging mass spectrometry readouts to subcellular scales through integration with high-resolution light microscopy. MetaLens identifies subcellular metabolic domains with distinct molecular composition, enabling accessible label-free subcellular metabolomic analysis from microscopy.

molecular biology↗

bioRxiv2024

ERK3/MAPK6 promotes triple-negative breast cancer progression through collective migration and EMT plasticity

Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer and is associated with high cell plasticity, recurrence, and metastatic rate. During epithelial-to-mesenchymal transition (EMT), cancer cells display EMT plasticity, or partial-EMT features, which are required for breast cancer metastasis, such as collective migration. ERK3 has been implicated in promoting migration and invasion of breast cancer, but the mechanisms remain elusive. Here, we investigated ERK3 expression across patient-derived datasets of breast cancer and established its association with aggressive breast cancer phenotypes and poor clinical outcomes. Leveraging the hypothesis that ERK3 contributes to TNBC progression by supporting a partial-EMT state, we showed that ERK3 is essential in different steps of the metastatic process, especially by enabling collective migration but also by modulating cell-extracellular matrix adhesion, anchorage-independent growth, extravasation and colonization. In conclusion, our results demonstrate that ERK3 contributes to TNBC progression and potentially metastasis by promoting EMT plasticity and collective migration.

cancer biology↗

bioRxiv2024

Self-organization of vascularized skeletal muscle from bovine embryonic stem cells

Cultured beef holds promising potential as an alternative to traditional meat options. While adult stem cells are commonly used as the cell source for cultured beef, their proliferation and differentiation capacities are limited. To produce cultured beef steaks, current manufacturing plans often require the separate preparation of multiple cell types and intricate engineering for assembling them into structured tissues. In this study, we propose and report the co-induction of skeletal muscle, neuronal, and endothelial cells from bovine embryonic stem cells (ESCs) and the self-organization of tissue structures in 2- and 3-dimensional cultures. Bovine myocytes were induced in a stepwise manner through the induction of presomitic mesoderm (PSM) from bovine ESCs. Muscle fibers with sarcomeres appeared within 15 days, displaying calcium oscillations responsive to inputs from co-induced bovine spinal neurons. Bovine endothelial cells were also co-induced via PSM, forming uniform vessel networks inside tissues. Our serum-free, rapid co-induction protocols represent a milestone toward self-organizing beef steaks with integrated vasculature and innervation.

bioengineering↗

bioRxiv2024

Label-free phenotyping of human microvessel networks

Understanding the spatial heterogeneity in blood vessel formation and development is crucial for various biomedical applications. Traditional methods for in-vitro microvessel segmentation rely on fluorescent labeling, which either interferes with the sample homeostasis, limits the study to a restricted set of precursor cells, or requires sample fixation, thus preventing live measurements. Moreover, these methods often focus on small, cropped images, neglecting global spatial heterogeneity of microvasculature, leading to biased data interpretation. To overcome these limitations, we present VascuMap, a deep-learning-based tool for label-free vessel segmentation and spatial analysis. VascuMap enables a comprehensive examination of entire vessel networks, capturing both morphological and topological features across the full vascular bed. Our method achieves high segmentation accuracy, comparable to the state-of-the-art fluorescence-based models. VascuMaps capabilities extend to characterizing vasculature generated from label-free patient-derived samples, a vital step towards personalized medicine. Its compatibility with widefield label-free microscopy also accelerates sample acquisition, making it ideal for high-throughput systems crucial for drug toxicity and safety screens.

bioengineering↗

bioRxiv2023

Decoil: Reconstructing extrachromosomal DNA structural heterogeneity from long-read sequencing data

Circular extrachromosomal DNA (ecDNA) is a form of oncogene amplification found across cancer types and associated with poor outcome in patients. EcDNA can be structurally complex and contain rearranged DNA sequences derived from multiple chromosome locations. As the structure of ecDNA can impact oncogene regulation and may indicate mechanisms of its formation, disentangling it at high resolution from sequencing data is essential. Even though methods have been developed to identify and reconstruct ecDNA in cancer genome sequencing, it remains challenging to resolve complex ecDNA structures, in particular amplicons with shared genomic footprints. We here introduce Decoil, a computational method which combines a breakpoint-graph approach with LASSO regression to reconstruct complex ecDNA and deconvolve co-occurring ecDNA elements with overlapping genomic footprints from long-read nanopore sequencing. Decoil outperforms de-novo assembly and alignment-based methods in simulated longread sequencing data for both simple and complex ecDNAs. Applying Decoil on whole genome sequencing data uncovered different ecDNA topologies and explored ecDNA structure heterogeneity in neuroblastoma tumors and cell lines, indicating that this method may improve ecDNA structural analyzes in cancer.

cancer biology↗

bioRxiv2023

Flow in fetoplacental microvessels in vitro enhances perfusion, barrier function, and matrix stability

Proper placental vascularization is vital for pregnancy outcomes, but assessing it with animal models and human explants has limitations. Here, we present a 3D in vitro model of human placenta terminal villi that includes fetal mesenchyme and vascular endothelium. By co-culturing HUVEC, placental fibroblasts, and pericytes in a macro-fluidic chip with a flow reservoir, we generate fully perfusable fetal microvessels. Pressure-driven flow is crucial for the growth and remodeling of these microvessels, resulting in early formation of interconnected placental vascular networks and maintained viability. Computational fluid dynamics simulations predict shear forces, which increase microtissue stiffness, decrease diffusivity and enhance barrier function as shear stress rises. Mass-spec analysis reveals the deposition of numerous extracellular proteins, with flow notably enhancing the expression of matrix stability regulators, proteins associated with actin dynamics, and cytoskeleton organization. Our model provides a powerful tool for deducing complex in vivo parameters, such as shear stress on developing vascularized placental tissue, and holds promise for unraveling gestational disorders related to the vasculature.

bioengineering↗

bioRxiv2023

Mammary microvessels are sensitive to menstrual cycle sex hormones

The mammary gland is a highly vascularized organ that is influenced by sex hormones including estrogen (E2) and progesterone (P4). Beyond whole-organism studies in rodents or 2D monocultures, hormonal interactions and their effects on the breast microvasculature remains largely understudied. Recent methods to generate 3D microvessels on-chip have enabled direct observation of complex vascular processes; however, these models often use non-tissue-specific cell types, such as HUVEC and fibroblasts from various sources. Here, novel mammary-specific microvessels are generated by co-culturing primary breast endothelial cells and fibroblasts under optimized culture conditions. These microvessels are mechano-sensitive (to interstitial flow) and require endothelial-stromal interactions to develop fully perfusable vessels. These mammary-specific microvessels are also responsive to exogenous stimulation by sex hormones. When treated with combined E2 and P4, corresponding to the four phases of the menstrual cycle (period, follicular, ovular, and luteal), vascular remodeling and barrier function are altered in a phase-dependent manner. The presence of high E2 (ovulation) promotes vascular growth and remodeling, corresponding to high depletion of proangiogenic factors, whereas high P4 concentrations (luteal) promote vascular regression. The effects of combined E2 and P4 hormones are not only dose-dependent but also tissue-specific, as is shown by similarly treating non-tissue-specific HUVEC microvessels.

bioengineering↗

bioRxiv2023

Intercellular extrachromosomal DNA copy number heterogeneity drives cancer cell state diversity

Neuroblastoma is characterised by extensive inter- and intra-tumour genetic heterogeneity and varying clinical outcomes. One possible driver for this heterogeneity are extrachromosomal DNAs (ecDNA), which segregate independently to the daughter cells during cell division and can lead to rapid amplification of oncogenes. While ecDNA-mediated oncogene amplification has been shown to be associated with poor prognosis in many cancer entities, the effects of ecDNA copy number heterogeneity on intermediate phenotypes are still poorly understood. Here, we leverage DNA and RNA sequencing data from the same single cells in cell lines and neuroblastoma patients to investigate these effects. We utilise ecDNA amplicon structures to determine precise ecDNA copy numbers and reveal extensive intercellular ecDNA copy number heterogeneity. We further provide direct evidence for the effects of this heterogeneity on gene expression of cargo genes, including MYCN and its downstream targets, and the overall transcriptional state of neuroblastoma cells. These results highlight the potential for rapid adaptability of cellular states within a tumour cell population mediated by ecDNA copy number, emphasising the need for ecDNA-specific treatment strategies to tackle tumour formation and adaptation.

cancer biology↗

bioRxiv2022

Elimusertib outperforms standard of care chemotherapy in preclinical patient-derived pediatric solid tumor models

The small molecule inhibitor of ataxia telangiectasia and Rad3-related protein (ATR), elimusertib, is currently being tested clinically in various cancer entities in adults and children. Its preclinical anti-tumor activity in pediatric malignancies, however, is largely unknown. We here assessed the preclinical activity of elimusertib in >40 cell lines and >30 patient-derived xenograft (PDX) models derived from common pediatric solid tumor entities. Detailed in vitro and in vivo molecular characterization of the treated models enabled the evaluation of response biomarkers. Pronounced objective response rates were observed for elimusertib monotherapy in PDX, when treated with a regimen currently used in clinical trials. Strikingly, elimusertib outperformed standard of care chemotherapies, particularly in alveolar rhabdomysarcoma PDX. Thus, elimusertib has strong preclinical anti-tumor activity in pediatric solid tumor models, which may translate to clinically meaningful responses in patients. Statement of translational relevanceElimusertib is a small molecule inhibitor of ATR. ATR inhibitors have shown promising results as anticancer agents in adult cancers, but there is limited information on their effectiveness in pediatric solid tumors. Using a cohort of 32 patient-derived xenografts from pediatric solid tumors, we here evaluated the therapeutic potential of elimusertib in vivo. Elimusertib reduced tumor volume growth in all samples. Elimusertib had very limited toxicity and was potent even in tumors with preexisting chemoresistance. Our preclinical data indicates that elimusertib is a safe and potent therapeutic option for pediatric solid tumors. This data may serve as a rationale for the development of pediatric clinical trials for ATR inhibitors.

cancer biology↗

bioRxiv2022

Refphase: Multi-sample reference phasing reveals haplotype-specific copy number heterogeneity

Most computational methods that infer somatic copy number alterations (SCNAs) from bulk sequencing of DNA analyse tumour samples individually. However, the sequencing of multiple tumour samples from a patients disease is an increasingly common practice. We introduce Refphase, an algorithm that leverages this multi-sampling approach to infer haplotype-specific copy numbers through multi-sample reference phasing. We demonstrate Refphases ability to infer haplotype-specific SCNAs and characterise their intra-tumour heterogeneity, to uncover previously undetected allelic imbalance in low purity samples, and to identify parallel evolution in the context of whole genome doubling in a pan-cancer cohort of 336 samples from 99 tumours.

bioinformatics↗

bioRxiv2022

Amplicon structure creates collateral therapeutic vulnerability in cancer

Although DNA amplifications in cancers frequently harbor passenger genes alongside oncogenes, the functional consequence of such co-amplifications and their impact for therapy remains ill-defined. We discovered that passenger co-amplifications can create amplicon structure-specific collateral vulnerabilities. We present the DEAD-box helicase 1 (DDX1) gene as a bona fide passenger co-amplified with MYCN in cancers. Survival of cancer cells with DDX1 co-amplifications strongly depends on the mammalian target of rapamycin complex 1 (mTORC1). Mechanistically, aberrant DDX1 expression inhibits the tricarboxylic acid cycle through a previously unrecognized interaction with dihydrolipoamide S-succinyltransferase, a component of the alpha-ketoglutarate dehydrogenase complex. Cells expressing aberrant DDX1 levels compensate for the metabolic shift by enhancing mTORC1 activity. Consequently, pharmacological mTORC1 inhibition triggered cell death specifically in cells harboring the DDX1 co-amplification. This work highlights a significant contribution of passenger gene alterations to the therapeutic susceptibility of cancers. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=130 SRC="FIGDIR/small/506647v2_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@58b27dorg.highwire.dtl.DTLVardef@12e2fccorg.highwire.dtl.DTLVardef@1440f33org.highwire.dtl.DTLVardef@141e933_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2022

Copy-number dosage regulates telomere maintenance and disease-associated pathways in neuroblastoma

Telomere maintenance in neuroblastoma is linked to poor outcome and caused by either TERT activation or through alternative lengthening of telomeres (ALT). In contrast to TERT activation, commonly caused by genomic rearrangements or MYCN amplification, ALT is less well understood. Alterations at the ATRX locus are key drivers of ALT but only present in [~]50% of ALT tumors. To identify potential new pathways to telomere maintenance, we investigate allele-specific gene dosage effects from whole genomes and transcriptomes in 115 primary neuroblastomas. We show that copy-number dosage deregulates telomere maintenance, genomic stability, and neuronal pathways and identify upregulation of variants of histone H3 and H2A as a potential alternative pathway to ALT. We investigate the interplay between TERT activation, overexpression and copy-number dosage and reveal loss of imprinting at the RTL1 gene associated with poor clinical outcome. These results highlight the importance of gene dosage in key oncogenic mechanisms in neuroblastoma.

genomics↗

bioRxiv2022

Crowd-sourced benchmarking of single-sample tumour subclonal reconstruction

Tumours are dynamically evolving populations of cells. Subclonal reconstruction algorithms use bulk DNA sequencing data to quantify parameters of tumour evolution, allowing assessment of how cancers initiate, progress and respond to selective pressures. A plethora of subclonal reconstruction algorithms have been created, but their relative performance across the varying biological and technical features of real-world cancer genomic data is unclear. We therefore launched the ICGC-TCGA DREAM Somatic Mutation Calling -- Tumour Heterogeneity and Evolution Challenge. This seven-year community effort used cloud-computing to benchmark 31 containerized subclonal reconstruction algorithms on 51 simulated tumours. Each algorithm was scored for accuracy on seven independent tasks, leading to 12,061 total runs. Algorithm choice influenced performance significantly more than tumour features, but purity-adjusted read-depth, copy number state and read mappability were associated with performance of most algorithms on most tasks. No single algorithm was a top performer for all seven tasks and existing ensemble strategies were surprisingly unable to outperform the best individual methods, highlighting a key research need. All containerized methods, evaluation code and datasets are available to support further assessment of the determinants of subclonal reconstruction accuracy and development of improved methods to understand tumour evolution.

bioinformatics↗

bioRxiv2022

Seasonal changes in membrane structure and excitability in central neurons of goldfish (Carassius auratus) under constant environmental conditions

Seasonal modifications in the structure of cellular membranes occur as an adaptive measure to withstand exposure to prolonged environmental change. Little is known about whether such changes may occur independently of external cues, such as photoperiod or temperature, or how they may impact the central nervous system (CNS). We compared membrane properties of central neurons isolated from the retina of goldfish (Carassius auratus), an organism well-adapted to extreme environmental change, during the summer and winter months. Goldfish were maintained in a facility under constant environmental conditions throughout the year. Analysis of whole-retina phospholipid composition using mass spectrometry-based lipidomics revealed a two-fold increase in phosphatidylethanolamine species during the winter, suggesting an increase in cell membrane fluidity. Atomic force microscopy was used to produce localized, nanoscale-force deformation of neuronal membranes. Measurement of Youngs modulus indicated increased membrane stiffness (or decreased elasticity) in neurons isolated during the winter. Voltage-clamp electrophysiology was used to assess physiological changes in neurons between seasons. Winter neurons displayed a hyperpolarized reversal potential (Vrev) and a significantly lower input resistance (Rin) compared to summer neurons. This was indicative of a decrease in membrane excitability during the winter. Subsequent measurement of intracellular Ca2+ activity using Fura-2 microspectrofluorometry confirmed a reduction in action potential activity, including duration and action potential profile, in neurons isolated during the winter. These studies demonstrate chemical and biophysical changes that occur in central neurons of goldfish throughout the year without exposure to seasonal cues, and suggest a novel mechanism of seasonal regulation of CNS activity. SUMMARY STATEMENTCentral neurons isolated from the retina of goldfish held under constant environmental conditions undergo seasonal changes in membrane structure and excitability.

neuroscience↗

bioRxiv2021

Personalized models of breast cancer desmoplasia reveal biomechanical determinants of drug penetration

Breast cancer desmoplasia heterogeneity contributes to high disease mortality due to discrepancies in treatment efficacy between patients. Personalized in vitro breast cancer models can be used for high throughput testing and ranking of therapeutic strategies to normalize the aberrant microenvironment in a patient-specific manner. Here, tumoroids assembled from patient-derived cells cultured in microphysiological systems including perfusable microvasculature reproduce key aspects of stromal and vascular dysfunction. Increased hyaluronic acid and collagen deposition, loss of vascular glycocalyx and reduced perfusion, and elevated interstitial fluid pressure in the models result in impaired drug distribution to tumor cells. We demonstrate the application of these personalized models as tools to rank molecular therapies for the normalization of the tumoroid microenvironment and to discover new therapeutic targets such as IL8 and CD44, which may ultimately improve drug efficacy in breast cancer patients.

bioengineering↗