4.6 Article

Optical Microscopy-Guided Laser Ablation Electrospray Ionization Ion Mobility Mass Spectrometry: Ambient Single Cell Metabolomics with Increased Confidence in Molecular Identification

Journal

METABOLITES
Volume 11, Issue 4, Pages -

Publisher

MDPI
DOI: 10.3390/metabo11040200

Keywords

mass spectrometry; collisional cross section; drift tube ion mobility separation; laser ablation electrospray ionization; in situ metabolomics; ambient analysis

Funding

  1. EMSL [grid.436923.9]
  2. DOE Office of Science User Facility - Biological and Environmental Research program [DE-AC05-76RL01830]

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Single cell analysis, particularly using LAESI-MS technology, allows for advantages in metabolomics; integrating a microscope with the LAESI source enables visually informed ambient in situ single cell analysis; coupling with a drift-tube ion mobility mass spectrometer can enhance confidence in structural identification of molecules from single cells.
Single cell analysis is a field of increasing interest as new tools are continually being developed to understand intercellular differences within large cell populations. Laser-ablation electrospray ionization mass spectrometry (LAESI-MS) is an emerging technique for single cell metabolomics. Over the years, it has been validated that this ionization technique is advantageous for probing the molecular content of individual cells in situ. Here, we report the integration of a microscope into the optical train of the LAESI source to allow for visually informed ambient in situ single cell analysis. Additionally, we have coupled this 'LAESI microscope' to a drift-tube ion mobility mass spectrometer to enable separation of isobaric species and allow for the determination of ion collision cross sections in conjunction with accurate mass measurements. This combined information helps provide higher confidence for structural assignment of molecules ablated from single cells. Here, we show that this system enables the analysis of the metabolite content of Allium cepa epidermal cells with high confidence structural identification together with their spatial locations within a tissue.

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