Single-Cell Lipidomics: An Automated and Accessible Microfluidic Workflow Validated by Capillary Sampling
We report the first demonstration of a microfluidics-based approach to measure lipids in single living cells using widely available liquid chromatography mass spectrometry (LC-MS) instrumentation. The method enables the rapid sorting of live cells into liquid chambers formed on standard Petri dishes and their subsequent dispensing into vials for analysis using LC-MS. This approach facilitates automated sampling, data acquisition, and analysis and carries the additional advantage of chromatographic separation, aimed at reducing matrix effects present in shotgun lipidomics approaches. We demonstrate that our method detects comparable numbers of features at around 200 lipids in populations of single cells versus established live single-cell capillary sampling methods and with greater throughput, albeit with the loss of spatial resolution. We also show the importance of optimization steps in addressing challenges from lipid contamination, especially in blanks, and demonstrate a 75% increase in the number of lipids identified. This work opens up a novel, accessible, and high-throughput way to obtain single-cell lipid profiles and also serves as an important validation of single-cell lipidomics through the use of different sampling methods.
Authors
- Melanie Jane Bailey (ORCID: https://orcid.org/0000-0001-9050-7910)
- Johanna von Gerichten (ORCID: https://orcid.org/0000-0002-9224-5296)
- Carla F. Newman (ORCID: https://orcid.org/0000-0003-3659-0156)
- Matt Spick (ORCID: https://orcid.org/0000-0002-9417-6511)
- Anthony D. Whetton (ORCID: https://orcid.org/0000-0002-1098-3878)
- Kyle D. G. Saunders (ORCID: https://orcid.org/0000-0002-5615-5322)
- Anastasia Kontiza (ORCID: https://orcid.org/0000-0003-0097-3358)
Institutions
- GlaxoSmithKline (United Kingdom) (GB)
- University of Surrey (GB)
- Physical Sciences (United States) (US)
- Vascular BioSciences (United States) (US)
- Cellular Dynamics International (United States) (US)
- Dynamique du noyau (FR)
- GlaxoSmithKline (Netherlands) (NL)
Publication Details
- Journal
- Analytical Chemistry
- Published
- 2024-10-26
- DOI
- https://doi.org/10.1021/acs.analchem.4c03435
- Citations
- 11
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 7.29
Funders
- GlaxoSmithKline
- Engineering and Physical Sciences Research Council
- Biotechnology and Biological Sciences Research Council