Literature DB >> 31729665

Metabolomic Profiling of Adherent Mammalian Cells In Situ by LAESI-MS with Ion Mobility Separation.

Sylwia A Stopka1, Akos Vertes2.   

Abstract

Ambient ionization-based mass spectrometry (MS) methods coupled with ion mobility separation (IMS) have emerged as promising approaches for high-throughput in situ analysis for biomedical to environmental applications. These methods are capable of direct profiling and molecular imaging of metabolites, lipids, peptides, and xenobiotics from biological tissues with minimal sample preparation. Furthermore, employing IMS within the workflow improves the molecular coverage, resolves isobaric species, and improves biomolecule identifications through accurate collision cross section measurements. Laser ablation electrospray ionization (LAESI)-MS coupled with IMS has been successful in profiling and molecular imaging of small biomolecules directly from biological tissues and single cells. Herein, we describe a protocol for the direct analysis of adherent mammalian cells with limited perturbations by LAESI-IMS-MS. A benefit of IMS is that within the same LAESI acquisition, the spectral features related to the ESI background, washing buffer, and cell signal can be extracted and isolated separately.

Entities:  

Keywords:  Cell culture; In situ analysis; Ion mobility separation; LAESI-IMS-MS; Laser ablation electrospray ionization; Mass spectrometry; Metabolites

Mesh:

Year:  2020        PMID: 31729665     DOI: 10.1007/978-1-0716-0030-6_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Integrating ion mobility and imaging mass spectrometry for comprehensive analysis of biological tissues: A brief review and perspective.

Authors:  Emilio S Rivera; Katerina V Djambazova; Elizabeth K Neumann; Richard M Caprioli; Jeffrey M Spraggins
Journal:  J Mass Spectrom       Date:  2020-09-21       Impact factor: 1.982

2.  Rapid HILIC-Z ion mobility mass spectrometry (RHIMMS) method for untargeted metabolomics of complex biological samples.

Authors:  Martina Pičmanová; Tessa Moses; Joan Cortada-Garcia; Georgina Barrett; Hannah Florance; Sufyan Pandor; Karl Burgess
Journal:  Metabolomics       Date:  2022-02-28       Impact factor: 4.290

  2 in total

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