Literature DB >> 29536413

Single-Cell Mass Spectrometry Reveals Changes in Lipid and Metabolite Expression in RAW 264.7 Cells upon Lipopolysaccharide Stimulation.

Bo Yang1,2, Nathan Heath Patterson1,2, Tina Tsui1,2, Richard M Caprioli1,2,3, Jeremy L Norris4,5,6.   

Abstract

It has been widely recognized that individual cells that exist within a large population of cells, even if they are genetically identical, can have divergent molecular makeups resulting from a variety of factors, including local environmental factors and stochastic processes within each cell. Presently, numerous approaches have been described that permit the resolution of these single-cell expression differences for RNA and protein; however, relatively few techniques exist for the study of lipids and metabolites in this manner. This study presents a methodology for the analysis of metabolite and lipid expression at the level of a single cell through the use of imaging mass spectrometry on a high-performance Fourier transform ion cyclotron resonance mass spectrometer. This report provides a detailed description of the overall experimental approach, including sample preparation as well as the data acquisition and analysis strategy for single cells. Applying this approach to the study of cultured RAW264.7 cells, we demonstrate that this method can be used to study the variation in molecular expression with cell populations and is sensitive to alterations in that expression that occurs upon lipopolysaccharide stimulation. Graphical Abstract.

Entities:  

Keywords:  Heterogeneity; Imaging mass spectrometry; Lipids and metabolites; MALDI; Single cell

Mesh:

Substances:

Year:  2018        PMID: 29536413      PMCID: PMC5943162          DOI: 10.1007/s13361-018-1899-9

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  33 in total

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2.  Matrix sublimation/recrystallization for imaging proteins by mass spectrometry at high spatial resolution.

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3.  Stochastic protein expression in individual cells at the single molecule level.

Authors:  Long Cai; Nir Friedman; X Sunney Xie
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4.  Sublimation as a method of matrix application for mass spectrometric imaging.

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Review 5.  Single-cell metabolomics: analytical and biological perspectives.

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6.  Living cell manipulation, manageable sampling, and shotgun picoliter electrospray mass spectrometry for profiling metabolites.

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7.  The single-probe: a miniaturized multifunctional device for single cell mass spectrometry analysis.

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8.  Compositional mapping of the surface and interior of mammalian cells at submicrometer resolution.

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9.  Synovial tissue heterogeneity in rheumatoid arthritis in relation to disease activity and biomarkers in peripheral blood.

Authors:  Lisa G M van Baarsen; Carla A Wijbrandts; Trieneke C G Timmer; Tineke C T M van der Pouw Kraan; Paul P Tak; Cornelis L Verweij
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10.  Drug metabolite heterogeneity in cultured single cells profiled by pico-trapping direct mass spectrometry.

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Journal:  Nanomedicine (Lond)       Date:  2012-05-14       Impact factor: 5.307

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  10 in total

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2.  Lipid Analysis of 30 000 Individual Rodent Cerebellar Cells Using High-Resolution Mass Spectrometry.

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Journal:  Anal Chem       Date:  2019-06-07       Impact factor: 6.986

3.  Metabolomic profiling of single enlarged lysosomes.

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Journal:  Nat Methods       Date:  2021-06-14       Impact factor: 28.547

4.  Dynamic Range Expansion by Gas-Phase Ion Fractionation and Enrichment for Imaging Mass Spectrometry.

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Journal:  Anal Chem       Date:  2020-09-09       Impact factor: 6.986

5.  Lipid Heterogeneity between Astrocytes and Neurons Revealed by Single-Cell MALDI-MS Combined with Immunocytochemical Classification.

Authors:  Elizabeth K Neumann; Troy J Comi; Stanislav S Rubakhin; Jonathan V Sweedler
Journal:  Angew Chem Int Ed Engl       Date:  2019-03-29       Impact factor: 15.336

6.  Mass spectrometry imaging to explore molecular heterogeneity in cell culture.

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7.  Effect of MALDI matrices on lipid analyses of biological tissues using MALDI-2 postionization mass spectrometry.

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8.  Accessible and reproducible mass spectrometry imaging data analysis in Galaxy.

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Review 9.  Single cell metabolomics using mass spectrometry: Techniques and data analysis.

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  10 in total

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