Webinar

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.

Hear from Oliver Braubach, Ph.D., Senior Manager, Applications at Akoya Biosciences on the importance of single cell resolution in spatial biology , how to discover single cell contextual phenotypes and the many single-cell, spatial phenotyping applications.

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.

H&E stromal tumor-infiltrating lymphocyte (sTIL) score and programmed death ligand 1 (PD-L1) SP142 immunohistochemistry assay are prognostic and predictive in early-stage breast cancer but are operator-dependent and may have insufficient precision to characterize dynamic changes in sTILs/PD-L1 in the context of clinical research. In this webinar, the presenters discuss how multiplex immunofluorescence (mIF) combined with statistical modeling can be used to estimate dynamic changes in sTIL score, PD-L1 expression, and other immune variables from a single paraffin-embedded slide, thus enabling comprehensive characterization of activity of novel immunotherapy agents.