Related Experiment Video
Updated: Mar 7, 2026
11:46
Shotgun Lipidomics of Rodent Tissues
Published on: November 18, 2022
2.8K
Lipidomics, en route to accurate quantitation.
Sin Man Lam1, He Tian1, Guanghou Shui2
1State Key Laboratory of Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, People's Republic of China.
Biochimica Et Biophysica Acta. Molecular and Cell Biology of Lipids
|February 21, 2017
Summary
Accurate lipid quantitation is crucial for advancing lipidomics. This review addresses technical challenges, error sources, and the need for standardized protocols to ensure reliable quantitative lipidomics for biological and biomedical applications.
Area of Science:
- Lipidomics
- Quantitative Biology
- Biomedical Science
Background:
- Accurate lipid quantitation is essential for the advancement of lipidomics.
- Lipidomics applications in biological and biomedical fields depend on reliable quantitative data.
- Existing lipidomics technologies face challenges in achieving precise quantification.
Purpose of the Study:
- To review technical considerations and limitations of current lipidomics technologies for accurate quantification.
- To identify potential sources of error within typical lipidomic workflows that affect quantitative accuracy.
- To discuss the critical need for standardized protocols and stricter definitions in quantitative lipidomics.
Main Methods:
- Review of existing literature on lipidomics technologies.
- Analysis of common lipidomic workflows to identify error sources.
- Critical discussion of standardization needs and terminology in quantitative lipidomics.
Main Results:
- Identified technical limitations in current lipidomics platforms hinder accurate quantitation.
- Highlighted numerous potential error sources throughout the lipidomic workflow.
- Emphasized that quantitative inaccuracies can significantly impact the field's progress.
Conclusions:
- Standardization of protocols and clear definitions are urgently needed for reliable quantitative lipidomics.
- Addressing technical challenges and minimizing errors are critical for the sustainable development of lipidomics.
- Improved quantitative accuracy will accelerate the application of lipidomics in biology and medicine.
