A5085677378- Glioma Diagnosis and Treatment
- Cell Image Analysis Techniques
- CRISPR and Genetic Engineering
- Zebrafish Biomedical Research Applications
- Neuroinflammation and Neurodegeneration Mechanisms
- Monoclonal and Polyclonal Antibodies Research
- Angiogenesis and VEGF in Cancer
- Protein purification and stability
- Medical Imaging Techniques and Applications
- Glycosylation and Glycoproteins Research
- Mathematical Biology Tumor Growth
- Single-cell and spatial transcriptomics
Uppsala University
2021-2024
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...
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...
Glioblastoma (GBM), the most common brain cancer in adults, is characterized by rapid local invasion, along diverse routes such as infiltration of white matter tracts and penetration perivascular spaces. We investigate hypothesis that GBM invasion correlate with transcriptional states individual cells identify route-specific master regulator genes. Utilizing patient-derived xenograft models, we integrate single-cell transcriptomics spatial proteomics, revealing mesenchymal oligodendrocyte...
<title>Abstract</title> Glioblastoma (GBM) is the most common primary brain cancer. It causes death mainly by local invasion via several routes, including infiltration of white matter tracts and penetration perivascular spaces. However, pathways that mediate these routes are only partly known. Here, we conduct an integrative study to identify cell states central drivers route-specific in GBM. Combining single-cell profiling spatial protein detection patient-derived xenograft models clinical...
Abstract Glioblastoma (GBM) is the most common malignant primary brain tumor, with a median survival time of 12-15 months. The heterogeneity GBM, ranging from inter-patient to intra-tumoral, poses significant challenge in identifying effective treatments. At single-cell level, GBMs comprise multiplicity transcriptional cell states that can change over and response therapy. To explore how state plasticity shapes tumor progression, new experimental tools monitor dynamics real-time will be...
Abstract To identify new treatment opportunities for IDH wildtype glioblastoma, it is essential to establish robust methods evaluate candidate genes in patient-derived cells. Here, we report initiative large-scale gene evaluation by CRISPR-Cas9 using well characterized cells from the Uppsala Human Glioma Cell Culture biobank. Previously, have fully HGCC cultures (n = 100) terms of multi-omics, and systematic injection as orthotopic xenografts. a procedure introduce doxycycline-inducible Cas9...