Mass cytometry panel optimization through the designed distribution of signal interference.

Area of Science:

• Biotechnology
• Immunology
• Proteomics

Background:

• Mass cytometry enables high-dimensional analysis of over 40 proteins per cell, crucial for biomarker discovery.
• Standardization of panel design is essential for consistent and reproducible mass cytometry data analysis.
• Signal interference and overlap are critical challenges impacting data interpretation.

Purpose of the Study:

• To define best practices in mass cytometry panel design to mitigate signal interference.
• To investigate the impact of signal overlap on data accuracy using anti-integrin β7 monoclonal antibodies (mAbs).
• To demonstrate how panel redesign can improve data quality by managing signal interference.

Main Methods:

• Utilized mass cytometry for high-dimensional single-cell protein analysis.
• Employed a mass-minus-one (MMO) control to identify signal overlap.
• Redesigned antibody panels to redistribute background signals and minimize interference.

Main Results:

• Identified signal overlap as the cause of perceived discrepancies in integrin β7 expression between two mAbs.
• MMO controls effectively visualized signal interference.
• Panel redesign significantly improved concordance between the anti-integrin β7 mAbs.

Conclusions:

• Signal overlap is a critical factor complicating mass cytometry data interpretation.
• Rational panel design, considering mass cytometry-specific interference, enhances data quality and reproducibility.
• Optimized panel design is key to realizing the full potential of mass cytometry for biomarker discovery.