In the ever-changing world of digital pathology, being able to extract a maximum of information from a patient tissue sample is of paramount importance for better diagnosis, disease characterization, and therapeutic strategies. Recent technologies such as multiplex immunofluorescence imaging and spatial transcriptomic now enable a deep analysis of protein and gene expression while retaining the spatial context of the tissue.
In this webinar our speaker Clément Levin PhD, will describe an innovative approach combining a 34-protein PhenoCycler panel and transcriptome analysis using Visium on a single head and neck squamous cell carcinoma section. While protein analysis reveals the complexity of the immune phenotypes involved in the disease, transcriptome analysis reveals the intricate cellular states of cancer cells that coexist within the patient’s tumor. Finally, integrating both omics modalities, we uncover unique comparison of gene and protein expression of spatially resolved cellular subspaces.
Related Posts
Accelerate Building Custom Spatial Proteomic Panels for New Biological Insights
Ultrasensitive Neuroimmune Biomarker Measurement for Translational Research and Therapeutic Development
Underdiagnosis of Alzheimer’s disease pathology in patients with cardiovascular disease
Decoding Neurodegeneration: High-plex Spatial Proteomics Reveal Distinct Cell Phenotypes and Pathological Signatures in Parkinson’s and Alzheimer’s Disease
In this webinar, Dr. Birgitt Schuele, Associate Professor (Research) of Pathology at Stanford University, showcases how ultrahigh-plex spatial proteomics is being used to uncover distinct cell phenotypes and pathological signatures…
Understanding the Brain: Advancing Neurodegeneration Research with Ultrahigh-Plex Spatial Proteomics
In this webinar, learn how ultrahigh-plex spatial phenotyping has been applied to neurodegenerative disease research.
p-Tau 205 and p-Tau 212: Emerging Biomarkers for Alzheimer’s Disease Research
Spatial Awareness: AI-powered Profiling of Trillions of Immune Cell Distribution Data Points Reveals Key Predictors of Cancer Recurrence Risk
This webinar highlights a groundbreaking study recently published as a Nature cover story (April 2025). Dr. Joe Yeong will describe how a pre-designed analytical framework—driven by well-defined clinical and scientific…
Multimodal Single-Cell Spatial Transcriptomics and Proteomics to Uncover the Biological Processes Driving Immunotherapy Response and Resistance in Renal Cancer
In this webinar, Dr. Anne-Laure Cattin from the Cancer Dynamics Laboratory at The Francis Crick Institute in London, will share her research on kidney cancer, focusing on the integration of…