Volume 13 Issue 10
Oct.  2023
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Ying Hou, Hongren Yao, Jin-Ming Lin. Recent advancements in single-cell metabolic analysis for pharmacological research[J]. Journal of Pharmaceutical Analysis, 2023, 13(10): 1102-1116. doi: 10.1016/j.jpha.2023.08.014
Citation: Ying Hou, Hongren Yao, Jin-Ming Lin. Recent advancements in single-cell metabolic analysis for pharmacological research[J]. Journal of Pharmaceutical Analysis, 2023, 13(10): 1102-1116. doi: 10.1016/j.jpha.2023.08.014

Recent advancements in single-cell metabolic analysis for pharmacological research

doi: 10.1016/j.jpha.2023.08.014
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This work was supported by the National Key R&D Program of China (Grant No.: 2022YFC3400700) and the National Natural Science Foundation of China (Grant Nos.: 22034005, 81973569 and 221115402533).

  • Received Date: Jul. 11, 2023
  • Accepted Date: Aug. 18, 2023
  • Rev Recd Date: Aug. 12, 2023
  • Publish Date: Oct. 30, 2023
  • Cellular heterogeneity is crucial for understanding tissue biology and disease pathophysiology. Pharmacological research is being advanced by single-cell metabolic analysis, which offers a technique to identify variations in RNA, proteins, metabolites, and drug molecules in cells. In this review, the recent advancement of single-cell metabolic analysis techniques and their applications in drug metabolism and drug response are summarized. High-precision and controlled single-cell isolation and manipulation are provided by microfluidics-based methods, such as droplet microfluidics, microchamber, open microfluidic probe, and digital microfluidics. They are used in tandem with variety of detection techniques, including optical imaging, Raman spectroscopy, electrochemical detection, RNA sequencing, and mass spectrometry, to evaluate single-cell metabolic changes in response to drug administration. The advantages and disadvantages of different techniques are discussed along with the challenges and future directions for single-cell analysis. These techniques are employed in pharmaceutical analysis for studying drug response and resistance pathway, therapeutic targets discovery, and in vitro disease model evaluation.
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