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Updated: Jul 12, 2026

Lipidomics and Transcriptomics in Neurological Diseases

Lipidomics and Transcriptomics in Neurological Diseases

Published on: March 18, 2022

Opto-Lipidomics of Tissues.

Magnus Jensen¹, Shiyue Liu^1,2, Elzbieta Stepula¹

¹Centre for Craniofacial and Regenerative Biology, King's College London, London, SE1 9RT, UK.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

|December 25, 2023

Summary

Opto-lipidomics, a novel optical imaging technique, visualizes and identifies lipids in tissues. This advancement aids in understanding disease mechanisms and discovering new lipid biomarkers for diagnostics and therapeutics.

Keywords:

Raman spectroscopy lipidomics mass spectrometry

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Lipidomics and Transcriptomics in Neurological Diseases

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Published on: March 18, 2022

Preparation of Human Tissues Embedded in Optimal Cutting Temperature Compound for Mass Spectrometry Analysis

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Published on: April 27, 2021

Shotgun Lipidomics of Rodent Tissues

Shotgun Lipidomics of Rodent Tissues

Published on: November 18, 2022

Area of Science:

Biomedical Optics
Molecular Imaging
Lipidomics

Background:

Lipid metabolism and signaling are crucial in biological processes and disease.
Current optical imaging methods struggle to visualize the tissue lipidome.
A need exists for advanced techniques to analyze tissue lipid composition.

Purpose of the Study:

To introduce opto-lipidomics, a new optical molecular tissue imaging approach.
To expand vibrational Raman spectroscopy for individual lipid identification in tissues.
To correlate Raman spectroscopy with desorption electrospray ionization-mass spectrometry (DESI-MS) imaging.

Main Methods:

Integrated instrument combining vibrational Raman spectroscopy and DESI-MS imaging.
Development of a computational pipeline for inter-modality analysis.
Application in a murine model of ischemic stroke to image lipid changes.

Main Results:

Successful visualization and identification of lipids in ischemic stroke tissue using opto-lipidomics.
High molecular specificity achieved in lipid detection via Raman scattered light.
Demonstration of a handheld fiber-optic Raman probe for real-time brain tissue classification based on lipid profiles.

Conclusions:

Opto-lipidomics enables detailed visualization and identification of lipids in diseased tissues.
The technique offers potential for studying lipid biomarkers in diagnostics and prognostics.
Opto-lipidomics presents new avenues for identifying novel therapeutic targets.