A5076800804- Glioma Diagnosis and Treatment
- Neuroblastoma Research and Treatments
- Protein Degradation and Inhibitors
- Ferroptosis and cancer prognosis
- Evolutionary Game Theory and Cooperation
- Animal Behavior and Reproduction
- Mathematical Biology Tumor Growth
- Cancer, Hypoxia, and Metabolism
- Zebrafish Biomedical Research Applications
- AI-based Problem Solving and Planning
- Image Retrieval and Classification Techniques
- Distributed Control Multi-Agent Systems
- Cancer Genomics and Diagnostics
- Barrier Structure and Function Studies
- Fish Ecology and Management Studies
- Ubiquitin and proteasome pathways
- Plant and animal studies
- Statistical Methods and Inference
- Angiogenesis and VEGF in Cancer
- Renal cell carcinoma treatment
- Medical Imaging Techniques and Applications
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
- Radiomics and Machine Learning in Medical Imaging
- Cell Image Analysis Techniques
Uppsala University
2017-2023
Predation is thought to shape the macroscopic properties of animal groups, making moving groups more cohesive and coordinated. Precisely how predation has shaped individuals' fine-scale social interactions in natural populations, however, unknown. Using high-resolution tracking data shoaling fish (Poecilia reticulata) from populations differing pressure, we show adapts interaction rules. Fish originating high environments formed larger, cohesive, but not polarized than low environments. a...
Abstract Despite advances in the molecular exploration of paediatric cancers, approximately 50% children with high-risk neuroblastoma lack effective treatment. To identify therapeutic options for this group patients, we combine predictive data mining experimental evaluation patient-derived xenograft cells. Our proposed algorithm, TargetTranslator, integrates from tumour biobanks, pharmacological databases, and cellular networks to predict how targeted interventions affect mRNA signatures...
Abstract Background Patient-derived xenograft (PDX) models of glioblastoma (GBM) are a central tool for neuro-oncology research and drug development, enabling the detection patient-specific differences in growth, vivo response. However, existing PDX not well suited large-scale or automated studies. Thus, here, we investigate if fast zebrafish-based model, supported by longitudinal, AI-driven image analysis, can recapitulate key aspects growth enable case-comparative testing. Methods We...
Glioblastoma (GBM) is a highly invasive and heterogeneous brain tumor, where distinct patterns of growth invasion critically influence disease progression therapy response. However, the molecular drivers these phenotypes remain poorly understood. Here, we present HGCC Phenobank, next-generation atlas 76 patient-derived GBM cases engrafted in mice, integrating histopathology, transcriptomics, epigenomics, proteomics. We identify two dominant modes-diffuse parenchymal spread...
Abstract Cancer cell migration is a driving mechanism of invasion in solid malignant tumors. Anti-migratory treatments provide an alternative approach for managing disease progression. However, we currently lack scalable screening methods identifying novel anti-migratory drugs. To this end, develop method that can estimate motility from single end-point images vitro by estimating differences the spatial distribution cells and inferring proliferation diffusion parameters using agent-based...
Junctional complexes such as tight junctions, adherens and desmosomes play crucial roles in the structure function of epithelial cells. These junctions are involved increasing cell-cell contact well serve signaling centers regulating multiple functions Carcinoma cell lines cultured laboratory generally lack junctional complexes. However, studies directed towards understanding distribution human cancer tissues lacking. In this study, we analyzed by electron microscopy patients diagnosed with...
Abstract One of the defining features glioblastomas (GBMs) is capacity for invasive growth along multiple anatomical pathways in brain. GBM well-studied on a genetic and molecular level, but clinically relevant experimentally tractable models are largely lacking. Here, we report an integrated study patient-matched information, genomic- profiles with mouse brains to expose treatments biomarkers associated glioblastoma invasion recurrence. In total, 64 patient-derived cell lines (PDCLs) were...
Predation is thought to shape the macroscopic properties of animal groups, making moving groups more cohesive and coordinated. Precisely how predation has shaped individuals' fine-scale social interactions in natural populations, however, unknown. Using high-resolution tracking data shoaling fish (Poecilia reticulata) from populations differing pressure, we show adapts interaction rules. Fish originating high environments formed larger, cohesive, but not polarized than low environments. a...
Abstract We have characterised the migration and proliferation rates of a large number patient-derived glioblastoma cell lines using an individual-based model coupled to Approximate Bayesian Computation algorithm. found that exhibited negative correlation between rate division. This observation agrees with Go or Grow hypothesis highlights patient-specific differences in proliferation.
Despite the many advances in molecular characterization of neuroblastoma, effective treatments for high-risk patients are currently lacking. Using publically available data, integrated computational analysis offers new opportunities to uncover druggable subgroups. In TargetTranslator project, we have combined state-of-the-art Big Data techniques identify targets subgroups neuroblastoma. Starting with clinical or genomic risk factors, builds a consensus signature across cohorts. This is...
Abstract Despite major advances in the molecular exploration of pediatric cancers, approximately 50 % children with high-risk neuroblastoma lack effective treatment. To identify new therapeutic options for this group patients, we have combined integrative data analysis experimental evaluation patient-derived xenograft cells. We propose a algorithm, TargetTranslator, which combines from tumor biobanks, pharmacological databases, and cellular networks, to predict how particular targeted...
Abstract Despite the many advances in molecular characterization of neuroblastoma, effective treatments for high-risk patients are currently lacking. Using publically available data, integrated computational analysis offers new opportunities to uncover druggable subgroups. In TargetTranslator project, we have combined state-of-the-art Big Data techniques identify targets subgroups neuroblastoma. Starting with clinical or genomic risk factors, builds a consensus signature across cohorts. This...
Abstract Glioblastomas (GBMs) are malignant brain tumors characterized by uncontrolled, invasive growth along multiple anatomical pathways. GBM is well-studied on a genetic and molecular level, but clinically relevant, experimentally tractable models of largely lacking. We report an integrated study patient-matched information including clinical radiological data, patient-derived xenografts, genomics, transcriptomics, epigenomics, drug response data. Our hypothesis that joint variation...