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Updated: Sep 18, 2025

Quantitative Analysis of the Cellular Lipidome of Saccharomyces Cerevisiae Using Liquid Chromatography Coupled with Tandem Mass Spectrometry
Published on: March 8, 2020
An Integrated Platform for High-Throughput Extraction and Mass Spectrometry-Based Quantification of Cholesterol and
Yi-Han Lin1, Yuhong Fang1, Maya L Gosztyla1
1Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.
This study introduces a new, automated method for quantifying cellular cholesterol using mass spectrometry, improving accuracy and speed for developing treatments for lipid storage diseases like Niemann-Pick Disease Type C.
Area of Science:
- Biochemistry
- Cell Biology
- Analytical Chemistry
Background:
- Lipid storage diseases, such as Niemann-Pick Disease Type C (NPC), involve cellular lipid accumulation, primarily unesterified cholesterol.
- Current methods like the filipin fluorescence assay have limitations including nonspecific binding, multiple steps, and poor quantitation accuracy, hindering high-throughput screening.
- Accurate and efficient cellular cholesterol quantification is crucial for developing novel therapeutics for these genetic disorders.
Purpose of the Study:
- To develop an integrated, semiautomated, high-throughput protocol for cellular cholesterol extraction and quantification.
- To establish a label-free assay for accurate cholesterol measurement in a 384-well plate format.
- To validate the method's efficiency and applicability for screening investigational compounds and multiplexing lipid analysis.
Main Methods:
- Development of an integrated workflow using a liquid handling platform and high-throughput mass spectrometry (MS).
- Lipid extraction from neural stem cells using methyl tert-butyl ether (MTBE) with 13C-cholesterol as an internal standard.
- Semiautomated protocol enabling lipid extraction and MS analysis within 2 hours in a 384-well plate format.
Main Results:
- The integrated platform demonstrated excellent quantification linearity and reproducibility (intraday and interday, R2 > 0.99).
- High recovery rates (83-107%) were achieved for cholesterol extraction.
- The method was successfully applied to screen 241 compounds and showed capability for multiplexing sphingosine and cholesterol quantification.
Conclusions:
- The developed integrated and semiautomated platform provides an efficient, label-free, and high-throughput method for cellular cholesterol quantification.
- This assay overcomes limitations of traditional methods, enabling accurate screening for lipid storage disease therapeutics.
- The workflow's adaptability extends its utility to other lipid storage diseases through multiplexed lipid analysis.
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