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Quantitative Lipidomics

Product introduction

Lipids are a class of bioorganic molecules that are insoluble in water and easily soluble in non-polar solvents. They are involved in a variety of life processes and closely related to the occurrence and development of a variety of diseases. Lipidomics is a high-throughput analytical technique based on liquid chromatography-mass spectrometry (LC-MS) to systematically analyze and understand the nature and functions of lipids by conducting comprehensive and systematic analysis and identification of lipids in organisms, tissues, or cells.

Quantitative lipidomics is a high-throughput targeted technique by performing MRM mode that enables accurate lipid quantification.

Function and classification of lipids:

Lipids function: Lipids are essential components of biological systems, participating in energy metabolism, biomembrane structural organization, signal transduction, inflammatory regulation, macromolecular recognition and cellular processes including apoptosis, growth, differentiation, and motility.

Lipids classification:

  • Fatty Acyls (FA)
  • Glycerophospholipids (GP)
  • Sterol Lipids (ST)
  • Saccharolipids (SL)
  • Glycerolipids (GL)
  • Sphingolipids (SP)
  • Prenol Lipids (PR)
  • Polyketides (PK)

Advantages:

  1. Ultra-high Accuracy and Sensitivity
    • The use of an extremely accurate mass spectrometer, the AB SCIEX6500+, allowing detection down to pg levels.
    • Absolute quantitative lipid analysis and lipid quantification utilizing the internal standard approach provides more precise results (standard + isotope internal standard).
  2. High throughput and wide coverage
    • Over 4000 and more than 51 types of lipids can be simultaneously measured in a single lipid detection process
  3. High reproducibility
    • Enhanced reproducibility is achieved through intra-batch correction in large-scale sample cohorts.

Sample Requirements for Biomedical Metabolomics Sample:

Sample Type Sample Recommended Sample Biological Replicate
Liquid Plasma, Serum, Hemolymph, Whole Blood, Milk, Egg White 100 μL Human≥30, Animal≥8, Plant≥3
Cerebrospinal Fluid, Interstitial Fluid, Uterine Fluid, Pancreatic Juice, Bile, Pleural Effusion, Follicular Fluid, Postmortem Fluid, Tissue Fluid, Culture Medium (liquid), Culture Supernatant, Tears, Aqueous Humor, Digestive Juices,Bone Marrow (liquid) 100 μL
Seminal Plasma, Amniotic Fluid, Prostatic Fluid, Rumen Fluid, Respiratory Condensate, Gastric Lavage Fluid, Broncho-alveolar Lavage Fluid (BALF), Urine, Sweat, Saliva, Sputum 500 μL
Tissue Animal Tissues, Placenta, Blood Clot, Mycelium, Nematode, Zebrafish (whole fish), Bone Marrow (solid), Nail 100 mg
Whole Insect Body, Wings (of insects), Pupa, Eggs, Large Fungi (mushroom types), Large Algae (red algae), Large Amount of Mycelium/Mycelial Balls, Cartilage, Bone (solid) 500 mg
Zebrafish Organs, Insect Organs, Whole Microinsect Body (e.g., Drosophila) 20 units
Solid Feces, Intestinal Contents, Lyophilized Fecal Powder 200 mg
Milk Powder, Microbial Fermentation Product (solid), Culture Medium (solid), Earwax, Lyophilized Tissue Powder,Feed, Egg Yolk, Lyophilized Plant Powder, Lyophilized Egg Powder 100 mg
Honey, Nasal Mucus, Sputum 100 mg
Sludge, Soil 600 mg
Cell Adherent Cells, Animal Cell Lines 1*10^7 cells
E. Coli, Yeast Cells 1×10^10 cells
Small Amount of Fungal Mycelial Balls/Mycelium, Unicellular Algae (Cyanobacteria), Large Quantities of BacterialHyphae (sediment), Mucilaginous Protoplasmic Clusters (hyphae) 100 mg
Organelle Lysosomes, Mitochondria, Endoplasmic Reticulum 4×10^7 cells 
Exosomes, Extracellular Vesicles 2×10^9Particles
Special Sample Skin Tape or Patch 2 pieces
Test Strips 2 pieces
Swab 1 piece

Notes:
1. Not applicable for GC-MS.
2. The amounts shown in the table are for a single round of metabolite extraction. If the sample volume is sufficient, it is recommended to provide enough for two rounds of extraction. This way, if the first extraction does not yield ideal results, it can help avoid the delay caused by having to re-submit samples.
3. Appropriate for Untargeted Metabolomics, Untargeted Plus Metabolomics, TM Widely-Targeted Metabolomics, Quantitative Lipidomics, Energy Metabolism, Amino Acids, Tryptophan, and Short-Chain Fatty Acids studies.

Sample Requirements for Plant Metabolomics Sample:

Sample Type Sample Recommended Sample Biological Replicate
Tissue Root, Stem, Leaf, Fruit, Flower, Bud, Node, Callus 600 mg Human≥30, Animal≥8, Plant≥3
Fruit Peel, Seed Coat 600 mg
Anther, Filament, Pollen, Style, Stigma, Embryo 1.2 g
Liquid Root Exudate 10 ml
Juice, Wine, Fermentation Broth 5 ml
Oils, Essential Oils, Honey, Nectar, Paste 500 μl
Herb Extract, Herb Decoction, Plant Tissue Fluid 500 μl
Cell Cultured Plant Cell 1×10^7 cells
Algae 300 mg
Solid Lyophilized Plant Powder 200 mg
Sludge, Soil 600 mg

Notes:
1. Not applicable for GC-MS.
2. For extracted metabolites, please advise on the recommended quantity for the extraction process.
3. Suitable for Untargeted Metabolomics, Widely-Targeted Metabolomics, Quantitative Lipidomics, Flavonoids, Carotenoid, Anthocyanin, Energy Metabolism, Amino Acids, Short-Chain Fatty Acids Metabolomics for Plants.
4. Recommended sampling approach:
– Collect samples from 3 or more individuals for each biological replicate.
– Ensure a minimum of 3 biological replicates per sample group.
– Example: Combine leaves from 3 individual plants as one replicate; repeat for 2 more replicates (involving 6 additional individual plants) to achieve 
3 biological replicates for one experimental group (e.g., Control).
– Repeat the process with 9 individual plants for the second experimental group (e.g., Treatment).

Specifications:

Project Workflow

Quantitative lipidomics research experimental procedures can be divided into sample collection, lipid extraction, LC-MS/MS detection and data analysis. The experimental flow chart is showed below. At Novogene, we strictly control each experimental step to realize the standardized operation of lipidomics, fundamentally ensure the accuracy and reliability of the detection data, and ensure the output of high-quality data.

BI analysis