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Updated: Nov 20, 2025

Shotgun Lipidomics of Rodent Tissues

Shotgun Lipidomics of Rodent Tissues

Published on: November 18, 2022

High-coverage lipidomics for functional lipid and pathway analyses.

Sin Man Lam¹, Zehua Wang², Bowen Li³

¹State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, People's Republic of China; Lipidall Technologies Company Limited, Changzhou, 213022, Jiangsu Province, People's Republic of China.

Analytica Chimica Acta

|January 24, 2021

Summary

Lipidomics advances face challenges in pathway analysis due to data inconsistencies and metabolic complexity. Addressing these gaps will transform lipidomics into a powerful tool for discovering novel biomedical targets.

Keywords:

Functional lipid modules High-coverage Lipid interactions Lipidomics Mass spectrometry Pathway analysis

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Area of Science:

Biochemistry
Analytical Chemistry
Systems Biology

Background:

Lipidomics has rapidly advanced due to improved separation techniques and analytical technologies.
However, lipid pathway analysis has lagged behind due to challenges in data integration and understanding complex metabolic relationships.

Purpose of the Study:

To discuss current efforts and alternative approaches to address challenges in lipid pathway analysis.
To highlight the importance of consolidating lipid pathway analyses for advancing lipidomics.

Main Methods:

Review of current strategies for aligning lipid identifiers between databases and experimental data.
Exploration of multidimensional approaches to capture the complexity of lipid metabolism.
Discussion of alternative "pathway analyses" for uncovering functional lipid interactions.

Main Results:

Identified key challenges in lipid pathway analysis: inconsistent lipid identifiers and the complexity of lipid metabolic pathways.
Proposed alternative "pathway analyses" to better understand functional lipid interactions.
Emphasized the need for consolidated lipid pathway analysis.

Conclusions:

Consolidating lipid pathway analysis is crucial for advancing lipidomics.
This advancement will enable lipidomics to transition from phenotype validation to a hypothesis-generating tool.
Uncovering novel molecular targets for biomedical research is a key outcome.