Abstract

Abstract Spatial omics is an expanding research area focused on integrating spatial knowledge of tissue with transcriptomics (RNA) and proteomics (protein). Understanding the complexity of the biological structure(s) is an important biological process in cancer immunotherapy research which requires accurate target classification. Translational profiling of 4+ targets on a single sample at one time can be difficult in many ways, such as, panel design, staining protocols, and data analysis. Furthermore, to design a reliable multi-target biomarker panel, there are many parts to overcome, such as protein abundance and localization, fluorophore compatibility, varying tissue types, and data characterization, to name a few. To address the needs of high target multiplex ability, labeling methods have advanced in cyclic detection enabling iterative labeling and detection using automated fluidics, however these approaches suffer from low simultaneous target throughput. Thermo Fisher Scientific can now provide a streamline process for tissue labelling; a process that enables sufficient labelling of high multiplexed panels completed within a couple of hours. We show successful detection of a wide range of various protein markers across numerous tissue organs used in various biological research applications with our uniform technique of labelling. Citation Format: Leticia Montoya, Scott Clarke, Austin Harvey, Jen Serafin, Mae Voeun. Advancements in multiplexed spatial phenotyping [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3798.

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