Single Cell Metabolite Detection Using Inertial Microfluidics-Assisted Ion Mobility Mass Spectrometry
Leicheng Zhang1, Tengfei Xu2, Jingtao Zhang1
1Singapore Phenome Center, Lee Kong Chian School of Medicine, Nanyang Technological University, 639798 Singapore.
Analytical Chemistry
|July 22, 2021
Summary
This study introduces a new method for single-cell metabolite analysis using microfluidics and ion mobility mass spectrometry (IM-MS). The technique efficiently profiles single cells, improving metabolite identification confidence for cancer research.
Area of Science:
- Analytical Chemistry
- Biotechnology
- Cell Biology
Background:
- Single-cell metabolite measurement is difficult due to isolation and detection challenges.
- Low metabolite levels hinder accurate identification and analysis.
- Existing methods lack efficiency and confidence in metabolite identification.
Purpose of the Study:
- To develop a novel strategy for single-cell metabolite detection and identification.
- To integrate spiral inertial microfluidics with ion mobility mass spectrometry (IM-MS).
- To enhance confidence in metabolite identification through gas-phase collisional cross section (CCS) measurements.
Main Methods:
- Cells in methanol suspension were focused using spiral inertial microfluidics.
- Focused cells were lysed and ionized via nanoelectrospray for real-time IM-MS analysis.
- Gas-phase collisional cross section (CCS) measurements were incorporated for enhanced identification.
Main Results:
- The system achieved six to eight single-cell metabolic fingerprints per minute.
- 19 distinct lipid species were identified in three cancer cell lines (U2OS, HepG2, HepG2.215) using CCS filtering.
- Principal component analysis (PCA) differentiated cancer cell lines based on surface phospholipids.
Conclusions:
- The developed technology platform provides an efficient method for single-cell lipid profiling.
- Ion mobility separation significantly improves the confidence of metabolite identification.
- This approach offers a promising tool for advancing single-cell metabolomics research.
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