In this webinar, we discuss discuss how deep spatial phenotyping with a 103-plex panel can reveal insights into distinct cellular neighborhoods and their role in regulating immune and metabolic functions of certain cancers.
Webinar Category: PhenoCycler (Codex)
This webinar highlights the power of CODEX multiplex imaging for surveying the cellular diversity of the human kidney, with potential applications in pathology, histology, and building anatomical atlases. Dr. Elizabeth K. Neumann, from Vanderbilt University, describes the use of co-detection by indexing (CODEX) multiplexed immunofluorescence for visualizing 23 antigens within the human kidney. Using CODEX, many of the major cell types and substructures, such as collecting ducts, glomeruli, and thick ascending limb, were visualized within a single tissue section. Of these antibodies, 19 were conjugated in-house, demonstrating the flexibility and utility of this approach for studying the human kidney using traditional antibody markers.
In this webinar, we’ll share how phenoptrReports provides powerful, easy-to-use tools to analyze spatial relationships between cellular phenotypes and visualize their relationships overlaid on the tissue, phenotype cells co-expressing markers, determine the quality of your unmixing library, and display results in shareable, easy-to-read data reports. Tips and tricks for getting the most out of your analysis will be reviewed as well.
Observing cell-cell interactions is critical to understanding causative factors of biological outcomes. As the only benchtop platform capable of multiplexing >40 markers in tissue, CODEX® (rebranded to PhenoCycler™) uniquely enables these observations by assaying tissue biopsies using fluidics, an inverted microscope, oligo-conjugated antibodies, and fluorescent reporters.
In this webinar Dr. Jonah Cool, Program Officer for Single-Cell Biology at the Chan Zuckerberg Initiative, provides an overview of single-cell efforts at CZI; and Dr. Oliver Braubach, Head of Research Applications at Akoya Biosciences, introduces the CODEX solution and shares case studies on how single-cell, spatial phenotyping applications can push the boundaries of discovery biology in human health and disease.
Immune checkpoint inhibitors are revolutionizing cancer therapy for many. But robust biomarkers are needed to predict which patients will likely benefit from these therapies. A team of investigators at the Mayo Clinic is trying to close this gap by developing a catalog of the human immune system in cancer patients, appropriately called “The Cancer Immunome Project. By analyzing the spatial architecture of FFPE tumor sections across the entire tumor microenvironment, the team is generating a comprehensive map of the cancer immunome. In this webcast, Dr. JC Villasboas shares how his team is using the CODEX® System to deepen our knowledge about the composition, architecture and interactions of the tumor microenvironment.
Recent studies strongly suggest the importance of determining a patient’s Immunoscore as well as the need for a more comprehensive understanding, both spatially and functionally, of the simultaneous presence of multiple immune cell types within the TME. Immune contexture parameters, including the Immunoscore, have a prognostic, predictive, and mechanistic value. Once identified, the key immune elements should be translated into clinically feasible treatment protocols, integrating with the field of immunopathology. In this webinar, Dr. Jerome Galon describes how a spatial phenotyping approach has supported the development of Immunoscore to estimate the prognosis of colorectal cancer patients
In this multi-part webinar series, our expert speakers review analytical frameworks and algorithms to integrate imaging-based single-cell spatial phenotyping data with complementary transcriptomic and genomic datasets. High-plex cell phenotyping methods like single-cell RNA-seq capture the deep cellular heterogeneity of samples, but cell behavior is a function of all that surrounds it. Imaging-based spatial phenotyping platforms enable researchers to visualize and analyze cell diversity, interactive networks, and cellular behavior across whole tissue sections. Both types of data have complementary features, which give researchers the ability to merge information about a cell’s proteome and transcriptome with its single-cell, spatial context. This webinar series highlights the latest advances driving integrative multiomic analysis.