Abstract

Single-cell proteomics (SCP) is a cutting-edge field that focuses on analyzing the protein composition of individual cells. Unlike bulk proteomics, which measures average protein levels across large cell populations, single-cell proteomics captures the unique protein expression of each cell. This approach reveals cellular heterogeneity, uncovers rare cell subpopulations, and provides deeper insights into complex biological processes, disease progression, and treatment responses. Advances in mass spectrometry and data analysis tools have made it possible to study proteins at single-cell resolution, opening new opportunities for discoveries in biomedicine,,.

About This Material

This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.

Questions this will address

• Which biological questions can single cell proteomics (SCP) help find us answers to?
• Which tools can be used to analyze the SCP data?
• Which are the keys steps in the analysis of SCP data?

Learning Objectives

• To learn about the individual steps in the SCP workflow, and which steps to pay attention to.
• To learn how to perform quality control checks during the workflow.
• To analyze a subset of a real biological dataset.