Recent advancements in single-cell metabolic analysis for pharmacological research

Hou, Ying; Yao, Hongren; Lin, Jin-Ming

doi:10.1016/j.jpha.2023.08.014

Cited by 4 publications

References 114 publications

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Advancements in Cancer Research: 3D Models, Single‐Cell, and Live‐Cell Techniques for Better Insights

Carnevali,

Forciniti,

Onesto

et al. 2024

Advanced Therapeutics

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The present review provides a comprehensive overview of the current state of in vitro cancer studies, focusing on recent advancements and ongoing in cell culture models and analyses techniques. Cancer cells grow in a complex and dynamic environment, interacting with various cellular components, such as stromal cells, cancer‐associated fibroblasts, immune cells, and the extracellular matrix (ECM). The ECM provides structural support and unique characteristics essential for tumorigenesis. Accurately modeling this intricate tumor microenvironment and precisely analyzing cell–cell and cell–ECM interactions are crucial for understanding cancer progression and therapeutic responses. Consequently, oncology research is advancing toward a) three‐dimensional tumor models, b) single‐cell level analyses, and c) live‐cell analyses. This review aims to elucidate current knowledge in this field, emphasizing the benefits these innovative approaches offer over traditional two‐dimensional models, bulk analyses, and endpoint measurements.

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Advancements in Cancer Research: 3D Models, Single‐Cell, and Live‐Cell Techniques for Better Insights

Carnevali,

Forciniti,

Onesto

et al. 2024

Advanced Therapeutics

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Recent Progress in Mass Spectrometry‐Based Single‐Cell Metabolic Analysis

Sun,

Yu,

Qian

et al. 2023

Small Methods

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Single‐cell analysis enables the measurement of biomolecules at the level of individual cells, facilitating in‐depth investigations into cellular heterogeneity and precise interpretation of the related biological mechanisms. Among these biomolecules, cellular metabolites exhibit remarkable sensitivity to environmental and biochemical changes, unveiling a hidden world underlying cellular heterogeneity and allowing for the determination of cell physiological states. However, the metabolic analysis of single cells is challenging due to the extremely low concentrations, substantial content variations, and rapid turnover rates of cellular metabolites. Mass spectrometry (MS), characterized by its high sensitivity, wide dynamic range, and excellent selectivity, is employed in single‐cell metabolic analysis. This review focuses on recent advances and applications of MS‐based single‐cell metabolic analysis, encompassing three key steps of single‐cell isolation, detection, and application. It is anticipated that MS will bring profound implications in biomedical practices, serving as advanced tools to depict the single‐cell metabolic landscape.

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