This webinar is co-organized with the European Association for Cancer Research (EACR)
Abstract:
Glioblastoma (GBM), known as one of the most aggressive primary neuroepithelial tumors, presents significant challenges in diagnosis and treatment. Traditional immunohistochemistry often falls short in capturing the intricate tumor microenvironment (TME) complexity within GBM. With an increasing emphasis on biomarker discovery and targeting complex diseases like GBM, spatial biology has emerged as a fundamental approach, revealing multiple biomarkers while preserving spatial tissue information. The pivotal task of transforming information-rich multiplex images into crucial quantitative data remains a significant hurdle. In this webinar, we present Lunaphore’s cutting-edge solutions for generating and analyzing hyperplex images.
The portfolio encompasses COMET™, a fully-automated spatial multiomics platform, and HORIZON™, an image analysis software tailored for COMET™ hyperplex immunofluorescence images. COMET™ integrates RNAscope™ HiPlex Pro technology with a sequential immunofluorescence (seqIF™) approach to simultaneously detect RNA and proteins on a single tissue section. Here, a multiomics panel featuring 12 RNAs and 24 proteins reveals insights into immune and cancer cell populations and their cellular activity within a TME.
To show the full potential of multiomics data analytics, the acquired datasets were analyzed using HORIZON™. It enables the performance of a single-cell analysis workflow for deep-cell phenotyping while using multiomics data to get multi-dimensional insights about the sample. The batch analysis was performed on multiple regions of interest to apply the same analysis workflow, encompassing AI-driven cell segmentation, followed by RNA signal detection, feature extraction, and supervised classification. Additionally, spatial evaluations of cellular phenotypes of interest unveiled intricate organizational relationships within the TME and provided valuable hypotheses-driven insights into the sample.
This webinar showcases how spatial multiomics offers a comprehensive view of the TME, advancing our comprehension of GBM pathology. Leveraging the single-cell resolution of spatial multiomics on COMET™ and intuitive image analysis with HORIZON™, researchers can seamlessly navigate the complex immune and cancer networks within the TME. Join us to explore the forefront of GBM analysis and research.
Speaker:
Vytautas Navikas, Ph.D.Data Scientist, Lunaphore
Abstract:
Glioblastoma (GBM), known as one of the most aggressive primary neuroepithelial tumors, presents significant challenges in diagnosis and treatment. Traditional immunohistochemistry often falls short in capturing the intricate tumor microenvironment (TME) complexity within GBM. With an increasing emphasis on biomarker discovery and targeting complex diseases like GBM, spatial biology has emerged as a fundamental approach, revealing multiple biomarkers while preserving spatial tissue information. The pivotal task of transforming information-rich multiplex images into crucial quantitative data remains a significant hurdle. In this webinar, we present Lunaphore’s cutting-edge solutions for generating and analyzing hyperplex images.
The portfolio encompasses COMET™, a fully-automated spatial multiomics platform, and HORIZON™, an image analysis software tailored for COMET™ hyperplex immunofluorescence images. COMET™ integrates RNAscope™ HiPlex Pro technology with a sequential immunofluorescence (seqIF™) approach to simultaneously detect RNA and proteins on a single tissue section. Here, a multiomics panel featuring 12 RNAs and 24 proteins reveals insights into immune and cancer cell populations and their cellular activity within a TME.
To show the full potential of multiomics data analytics, the acquired datasets were analyzed using HORIZON™. It enables the performance of a single-cell analysis workflow for deep-cell phenotyping while using multiomics data to get multi-dimensional insights about the sample. The batch analysis was performed on multiple regions of interest to apply the same analysis workflow, encompassing AI-driven cell segmentation, followed by RNA signal detection, feature extraction, and supervised classification. Additionally, spatial evaluations of cellular phenotypes of interest unveiled intricate organizational relationships within the TME and provided valuable hypotheses-driven insights into the sample.
This webinar showcases how spatial multiomics offers a comprehensive view of the TME, advancing our comprehension of GBM pathology. Leveraging the single-cell resolution of spatial multiomics on COMET™ and intuitive image analysis with HORIZON™, researchers can seamlessly navigate the complex immune and cancer networks within the TME. Join us to explore the forefront of GBM analysis and research.
Speaker:
Vytautas Navikas, Ph.D.Data Scientist, Lunaphore
