Chapter 37: Metabolomics and Mass Cytometry

In the intricate world of cellular biology, metabolism is the unsung hero, quietly powering the drama of life at its most fundamental level. Now, imagine if we could peek into this microscopic power plant of each cell, all while identifying its type and function. This is exactly what the marriage of metabolomics and mass cytometry has achieved, opening up a new frontier in our understanding of health and disease.

Single-cell Metabolic Profiling: A New Lens on Cellular Function

The groundbreaking study by Hartmann et al. (2021) in Nature Biotechnology introduced us to ScMEP (Single-cell Metabolic Enzyme Profiling), a technique that allows to simultaneously measure up to 44 metabolic regulators, enzymes, and metabolites alongside cell-surface markers. This is akin to being able to see not just the make and model of a car, but also its fuel efficiency, engine performance, and even the octane of gas it’s running on – all at once, for thousands of cars simultaneously. Basically, the study introduces scMEP, which combines antibody-based technologies like mass cytometry and multiplexed ion beam imaging to analyze cellular metabolism at single-cell resolution. Unlike traditional single-cell technologies that focus on gene expression or protein levels, scMEP specifically targets metabolic regulators, enzymes, and transporters, providing a unique lens into cellular metabolic states. This method allows researchers to simultaneously examine metabolic profiles and cellular phenotypes in heterogeneous populations, even from limited clinical samples. The authors demonstrate scMEP’s power by characterizing metabolic remodeling during T cell activation and identifying tissue-specific metabolic states of cytotoxic T cells in human colorectal carcinoma. Notably, when combined with spatial imaging techniques, scMEP revealed the organization of metabolic programs within the tumor microenvironment, offering insights into how cellular metabolism relates to tissue architecture and function. This approach opens new avenues for understanding metabolic heterogeneity in complex biological systems and its role in health and disease.

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