Introduction to Multiparametric Flow Cytometry and Analysis of High-Dimensional Data

Area of Science:

• Biotechnology
• Cell Biology
• Immunology

Background:

• Multiparametric flow cytometry is a key technique in translational research.
• It uses fluorescently tagged antibodies and dyes to measure cellular proteins and processes.
• Expertise in sample prep, acquisition, and analysis is crucial for success.

Purpose of the Study:

• To provide principles for conducting multiparametric flow cytometry experiments in drug development.
• To offer guidance for researchers with less experience using established internet resources.
• To introduce methods for analyzing high-dimensional datasets from complex experiments.

Main Methods:

• Utilizing fluorescently tagged antibodies to detect specific cell surface and intracellular proteins.
• Employing functional fluorescent dyes to assess cellular processes and viability (e.g., propidium iodide for DNA content).
• Detailed explanation of sample preparation, instrument acquisition, and data analysis.

Main Results:

• Successful completion requires expertise across sample preparation, data acquisition, and analysis.
• The chapter introduces principles for drug development applications.
• Methods for analyzing complex, high-dimensional datasets (10+ parameters) are presented.

Conclusions:

• This chapter equips researchers with the foundational knowledge for multiparametric flow cytometry in drug development.
• It emphasizes the importance of proper technique and introduces advanced data analysis strategies.
• The guide aims to improve the efficiency and accuracy of flow cytometry experiments.