Application Note | April 30, 2024

Cell Surface Proteomics for T Cell Engagers: Deep Profiling of TAAs

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T cell engagers are engineered to mobilize an immune response to cancer, directing T cell activity toward tumors that could otherwise evade the immune system. These innovative agents work by binding to both tumor-associated antigens (TAAs) expressed on the surface of a cancer cell and to a trigger protein on the T cell surface, stimulating the T cell to recognize and attack the tumor.

Comprehensive characterization of cell surface TAAs is among the most important criteria in developing T cell engagers, as their efficacy and safety depends on effective binding to the TAA target. To limit toxic liability and enable a wider therapeutic window, it is imperative to identify and target TAAs that are differentially and abundantly expressed on tumors compared to healthy tissues.

Explore how Sapient’s mass spectrometry-based /Deep/ Cell Surface Proteomics approach is optimized to support development of T cell engagers by measuring these cell surface proteins at unprecedented depth and scale.

Download the Application Note to learn the technical details of our method for cell surface proteomics for T cell engagers, featuring fully automated end-to-end sample preparation for rapid turnaround and scalable sample throughput capacity.

You’ll see how our /Deep/ Cell Surface Proteomics workflow can selectively enrich cell surface proteins within and across varied cell lines, tissues, and tumor samples to discover novel TAAs for T cell engager targeting. Importantly, our workflow can provide information both on the abundances of TAAs as well as an estimation of their copy numbers. Quantification of protein copy numbers within and across indications helps to prioritize TAAs as key targets for T cell engagers.

By leveraging ultra-sensitive mass spectrometry and innovative workflows, we enable sponsors to explore a broader landscape of protein expression across diverse cancer indications, facilitating high-specificity discovery and prioritization of TAAs.

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