Mapping the Human Proteome Using CRISPR-mediated Fluorescence Tagging, Microscopy, Mass Spectrometry, and Machine Learning
Presented by Select Science
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, we will describe how we 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. Our approach provides a data-driven description of the molecular and spatial networks that organize the proteome.
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
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.
Speaker
Dr. Manuel Leonetti
Intracellular Architecture Group Leader
Chan Zuckerberg Biohub
Dr. Leonetti leads the Intracellular Architecture group at the Chan Zuckerberg Biohub in San Francisco. His team maps the spatial and molecular structure of the human proteome by combining multidisciplinary advances in CRISPR gene editing, fluorescence microscopy, proteomics, and machine learning. View the group’s latest OpenCell project at opencell.czbiohub.org. Dr. Leonetti graduated from Ecole Normale Superieure (BSc, MSc) and the Rockefeller University (PhD), and was a Jane Coffin Childs post-doctoral fellow at UCSF.