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Method development for correlating lipid molecular information with anatomy in C. elegans.

Sara Mandic1, Bryn Flinders2, Michiel Vandenbosch2

  • 1Department of Chemistry, Graduate School of Life, Environmental, Natural Science and Technology, Okayama University, Okayama, 700-8530, Japan.

Scientific Reports
|July 8, 2025
PubMed
Summary

We developed a microfluidics method for preparing nematode sections for mass-spectrometry imaging (MSI). This technique allows detailed lipid mapping and 3D reconstruction of Caenorhabditis elegans, advancing lipid metabolism studies.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Developmental Biology

Background:

  • Caenorhabditis elegans is a key model organism for investigating fat storage and lipid metabolism.
  • Mass-spectrometry imaging (MSI) offers potential for mapping lipid spatial distribution.
  • Current MSI analysis of C. elegans is hindered by the absence of reproducible sample preparation protocols.

Purpose of the Study:

  • To establish a reproducible microfluidics-based workflow for preparing serial sections of C. elegans for multimodal analysis.
  • To enable spatial lipidomic profiling and 3D reconstruction of individual nematodes.
  • To correlate lipid distribution with anatomical structures in C. elegans.

Main Methods:

  • A microfluidics workflow was developed for preparing consecutive, structurally intact sections of C. elegans.
  • Multimodal analysis was performed using MSI and Oil Red O staining on single nematode sections.
  • Feature-based image reconstruction was employed for 3D nematode reconstruction using optical and MSI data.

Main Results:

  • The microfluidics method successfully preserved internal structures like the pharynx, intestine, and embryos in nematode sections.
  • MSI and Oil Red O staining revealed spatial distribution of various lipids across different nematode body parts.
  • The 3D reconstruction technique integrated optical images with MSI-based lipid mapping.

Conclusions:

  • The presented microfluidics workflow significantly improves sample preparation for MSI analysis of C. elegans.
  • This method facilitates detailed spatial lipidomics and 3D anatomical reconstruction of nematodes.
  • The approach allows for robust correlation of lipid profiles with specific anatomical features, enhancing our understanding of nematode lipid metabolism.