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Lipid metabolism is a crucial process in the human body that involves the synthesis and degradation of lipids. This process is essential for energy production, cell membrane formation, and hormone production, among other functions.
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Triglycerides serve as crucial long-term energy storage molecules in microorganisms, providing a dense source of metabolic energy. Their breakdown is mediated by lipases, which hydrolyze triglycerides into glycerol and free fatty acids. Each of these components follows distinct metabolic pathways, ultimately contributing to ATP synthesis and cellular energy homeostasis.Glycerol MetabolismGlycerol, released from triglyceride hydrolysis, is phosphorylated by glycerol kinase to form...
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Hyperlipidemia, a medical condition often referred to as high cholesterol, is characterized by abnormally elevated levels of lipids in the bloodstream. When present in excess, these lipids, specifically cholesterol and triglycerides, can lead to serious health complications, often involving cardiovascular diseases. Illnesses like atherosclerosis, heart attacks, and pancreatitis have all been linked to untreated hyperlipidemia. This means controlling and regulating cholesterol and triglyceride...
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Updated: Sep 15, 2025

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LipidCruncher: An open-source web application for processing, visualizing, and analyzing lipidomic data.

Abdi Hamed1, Yohannes A Ambaw1, Chandramohan Chitraju1

  • 1Cell Biology Program, Sloan Kettering Institute, New York, NY, USA.

Biorxiv : the Preprint Server for Biology
|July 14, 2025
PubMed
Summary
This summary is machine-generated.

LipidCruncher is a new open-source platform for analyzing mass spectrometry lipidomics data. It streamlines data processing, quality control, and visualization, improving efficiency and rigor in lipidomics research.

Keywords:
anomaly detectiondata analysislipid pathwayslipidomic heatmaplipidomicsquality controlsaturation profilesstandardizationvisualizationvolcano plots

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Area of Science:

  • Biochemistry
  • Computational Biology
  • Bioinformatics

Background:

  • Mass spectrometry (MS)-based lipidomics generates large datasets, necessitating advanced analytical tools.
  • Current lipidomics workflows often involve manual data handling and lack comprehensive quality assessment, hindering efficient analysis.

Purpose of the Study:

  • To introduce LipidCruncher, an open-source, web-based platform for efficient and rigorous processing, visualization, and analysis of lipidomic data.
  • To address the limitations of current lipidomics workflows by providing a consolidated and user-friendly solution.

Main Methods:

  • LipidCruncher integrates data standardization, normalization, and quality control steps.
  • The platform offers advanced visualization tools, including volcano plots, lipid saturation profiles, pathway mapping, and heatmaps.
  • Lipidomic data from DGAT1 and DGAT2 knockout mice adipose tissue were analyzed to demonstrate utility.

Main Results:

  • LipidCruncher effectively processes and visualizes large-scale lipidomic datasets.
  • The platform facilitates stringent quality control, identifying data anomalies.
  • Advanced visualization tools enable detailed and holistic exploration of lipidomic profiles.

Conclusions:

  • LipidCruncher provides a valuable and user-friendly tool for standardizing and analyzing lipidomics data.
  • The platform enhances the efficiency and rigor of lipidomics data evaluation.
  • It is expected to become a widely adopted resource in the lipidomics community.