Advancing Spatial Proteomics

Advancing Spatial Proteomics: From Target Discovery to AI-Driven Phenotyping

ABSTRACT:

Spatial proteomics is transforming research across academia and pharma, revealing new insights into disease biology and drug discovery. By resolving protein localization, cellular organization, and functional phenotypes directly within tissue, these approaches support more precise target identification and phenotypic characterization.

In this webinar, speakers from Genentech and Stanford University will present two complementary approaches. First, learn how mass spectrometry-based spatial proteomics, combined with histopathology-guided region selection and laser capture microdissection, supports identification of spatially resolved protein targets within defined tissue compartments. Applied to inflammatory bowel disease, this approach identifies membrane-domain-specific targets relevant for therapeutic targeting strategies. Then, learn how multiplexed 3D imaging combined with AI-driven analysis supports phenotypic drug discovery in colorectal cancer. These data are used to train AI models and generate virtual representations of cellular phenotypes.

The session will conclude with a live Q&A, giving you the opportunity to engage directly with the presenters and discuss your specific research questions.

KEY LEARNINGS:

• Understand complementary spatial proteomics approaches and how each can be applied across drug discovery workflows.
• Learn how spatial proteomics and AI-driven phenotyping enable target identification, mechanism-of-action studies, and characterization of cellular responses to perturbation in complex tissues.
• Recognize the scale and type of data required to build AI models and virtual representations of cellular phenotypes, and how these approaches are enabling next-generation phenotypic drug discovery.

Register Now