Mapping the human proteome using CRISPR-mediated fluorescence tagging, microscopy, mass spectrometry, and machine learning

Proteins are the product of gene expression and the molecular building blocks of cells. But while the genome sequence defines the set of all proteins that make up our cells, a systematic characterization of how the proteome is organized within the cell remains an important goal of modern cell biology. A comprehensive map of the human proteome’s organization will serve as a reference to understand gene function in health and disease. In this webinar, Dr. Leonetti will describe how his team combined CRISPR engineering, flow cytometry-based cell sorting, confocal live-cell imaging, mass spectrometry, and machine learning to systematically map the subcellular localization and interactions of 1,310 human proteins. Their approach provides a data-driven description of the molecular and spatial networks that organize the proteome.

Who should attend?

This webinar will provide insights for cell biologists and all researchers interested in how technological advances are transforming our ability to understand how human cells operate.

Learning Objectives

• Overview of CRISPR methods for profiling gene function
• A state-of-the-art snapshot on high-throughput methods for fluorescence microscopy and mass spectrometry
• Self-supervised machine learning applied to cellular imaging