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Single-Cell and Subcellular Analysis Using Ultrahigh Resolution 21 T MALDI FTICR Mass Spectrometry.

Daniel C Castro1,2, Karl W Smith3, Miles D Norsworthy2,4

  • 1Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, 505 South Goodwin Avenue, Urbana, Illinois 61801, United States.

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This study used ultrahigh-resolution mass spectrometry to analyze lipids in individual mammalian brain cells. Researchers identified unique lipid profiles in different cell parts, advancing single-cell lipidomics.

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Area of Science:

  • Neuroscience
  • Lipidomics
  • Mass Spectrometry

Background:

  • The mammalian brain has a complex lipidome crucial for cell structure and function.
  • Cellular lipid profiles change with signals and environment, altering cell phenotype.
  • Analyzing individual cell lipidomics is challenging due to sample limitations and lipid diversity.

Purpose of the Study:

  • To perform chemical characterization of individual hippocampal cells at ultrahigh mass resolution.
  • To demonstrate the capability of high-field Fourier-transform ion cyclotron resonance (FTICR) mass spectrometry for single-cell lipid analysis.

Main Methods:

  • Utilized a 21 T FTICR mass spectrometer for ultrahigh mass resolution analysis.
  • Applied mass spectrometry (MS) to analyze lipids from individual hippocampal cells.
  • Differentiated between freshly isolated and cultured hippocampal cell populations.

Main Results:

  • Achieved accurate lipid profiling of individual mammalian cells.
  • Identified distinct lipid profiles between cell bodies (soma) and neuronal processes.
  • Detected specific lipids like TG 42:2 in cell bodies and SM 34:1;O2 in cellular processes.

Conclusions:

  • This work is the first to analyze mammalian single cells at ultrahigh mass resolution using FTICR-MS.
  • Ultrahigh resolution MS significantly advances the performance and potential of single-cell lipid research.
  • The findings highlight the spatial heterogeneity of lipid distribution within single neurons.