Targeted Lipidomics Service
Targeted lipidomics uses advanced mass spectrometry, such as LC-MS and GC-MS, to precisely quantify specific lipid species, revealing their roles in energy storage, signaling, and disease. Creative Proteomics offers high-throughput, sensitive analyses for various lipid classes, ensuring accurate insights into lipid pathways.
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- Overview
- Lipidomics Service
- Technical Platforms
- Workflow
- Applications
- Demo
- FAQs
- Case & Publications
- Sample Requirements
What Is Targeted Lipidomics
Lipidomics is a discipline that analyzes and identifies lipid metabolites and their interacting molecules in organisms, tissues or cells to understand the structure and function of lipids, and then reveals the relationship between lipid metabolism and the physiological and pathological processes of cells, organs and even organisms. With the advancement of mass spectrometry, lipidomics has shown a wide range of applications in the identification of lipid biomarkers, diagnosis of diseases, discovery of drug targets and lead compounds, and study of drug mechanisms of action.
Targeted lipidomics is based on high-resolution mass spectrometry and isotope internal standard, and uses PRM (parallel reaction monitoring) targeted analysis technology to specifically acquire the signals of multiple lipid molecules (such as dozens of target lipid molecules) simultaneously to obtain their absolute contents and meet the needs of targeted detection and validation of target lipids.
Lipids are hydrophobic or amphipathic small molecules which include fats, waxes, sterols, fat-soluble vitamins (such as vitamins A, D, E and K), monoglycerides, diglycerides and phospholipids. The crucial role of lipids in biological physiology is evident not only in energy storage and structural components of cellular membranes, but also in signal transduction, membrane trafficking and morphogenesis. It is known that mammalian cells contain 1000-2000 types of lipids, but there are many more than that, and it is conservatively estimated that the major lipid species theoretically contain nearly 200000 lipids. Lipids can be broadly classified into three categories, namely, polar lipids including glycerophospholipids and sphingolipids, and nonpolar lipids including glycerol esters and other lipid metabolites such as fatty acids, which are the precursors of biologically active lipid molecules.
The National Institutes of Health (NIH) classifies lipids into eight specific categories including fattyacids, sphingolipids, glycerolipids, glycerophosph1ipids, sterol lipids, saecharolipids, pregnenolipids, and polyketides.
Featured Lipid Analysis Service
Service Contents
- Fatty Acids Analysis Service
- Fatty Acids Derivatives Analysis Service
- Fatty Acids Metabolism Analysis Service
- Glycerolipids Analysis Service
- Phospholipidomics Service
- Glycerophospholipids Analysis Service
- Sphingolipids
- Isoprenoids
- Sterols
- Other Analysis Services
Fatty Acids Metabolism Analysis Service
Glycerophospholipids Analysis Service
- Glycerophospholipids
- Cardiolipins
- phosphatidylcholine (PC)
- phosphatidylethanolamine (PE)
- phosphatidylserine (PS)
- phosphatidylinositol (PI)
- phosphatidylglycerol (PG)
- phosphatidic acid (PA)
Isoprenoids
Other Analysis Services
Technical Platforms
See more Creative Proteomics Mass Spectrometry
The targeted metabolomics service provided by Creative Proteomics is based on our cutting edge separation and analytical platforms. Our experienced technicians have optimized protocols, in order to provide best service to meet customers' requirement.
Lipidomics Analysis Workflow
Data Analysis
| Standard | Analysis content | |
|---|---|---|
| Standard analysis | Quality control | Get high quality data |
| Method evaluation | Assess the quality of the established method | |
| Difference analysis (histogram, violin plot, etc.) | Assess group differences for each lipid molecules | |
| Advanced analysis | Cluster Analysis | Exploring the content trend pattern of lipid molecules |
| Machine learning | Biomarkers screening with good diagnostic performance | |
Appliacations of Targeted Lipidomics
Identify Lipid Classes with Fragmentation Patterns
Lipid classes, like phosphatidylcholines, exhibit distinct fragmentation patterns , aiding targeted analysis.
Quantify Low-Abundance Lipid Signaling Molecules
Targeted lipidomics enables precise measurement of low-abundance lipids like eicosanoids and S1P, key in signaling and disease, through selective extraction.
Enhance Detection via Lipid Derivatization
Derivatization boosts ionization efficiency and sensitivity for challenging lipids, ensuring accurate detection, especially for unstable or low-abundance species like eicosanoids and phosphoinositides.
Demo for Targeted Lipidomics
Figures come from (Li, Y.et.al, Sci Rep,2023)
PCA chart
Quickly show the distribution of samples across principal components.
OPLC-DA point cloud diagram
Illustrate the separation of sample groups in a multidimensional space.
Plot of multiplicative change volcanoes
Volcano plot depicting multiplicative changes in metabolite levels.
Sample Hierarchical Clustering
Each column in the figure represents a sample
Targeted Lipidomics FAQs
What is the purpose of lipidomics?
Lipidomics aims to study the complete set of lipids (the lipidome) in a biological system, providing insights into their roles in cellular structure, energy storage, and signaling. It helps to understand how lipids impact health and disease, including their involvement in conditions like metabolic disorders, cardiovascular diseases, and cancer.
How do you analyse lipidomics data?
Data analysis involves normalization, peak identification, and quantification, followed by pathway enrichment analysis and visualization using bioinformatics tools. This helps correlate lipid profiles with biological functions or disease states.
What is the difference between targeted and untargeted lipidomics?
Targeted lipidomics focuses on quantifying specific lipids of interest, often with known biological relevance, using pre-defined methods and standards.Untargeted lipidomics aims to profile the entire lipidome without bias, capturing a wide range of lipid species for discovery purposes.
What is the difference between lipidomics and metabolomics?
Lipidomics is a subfield of metabolomics focused exclusively on lipids, while metabolomics encompasses all small molecules (metabolites) in a system, including lipids, amino acids, and sugars.Both fields use similar analytical techniques like MS and chromatography, but lipidomics often employs specialized methods tailored to the structural diversity of lipids.
Learn about other Q&A about other technologies.
Targeted Lipidomics Case study
Case Study: Characterizing the Lipidomic Profiling of Mitochondrial Mutant Nematodes
Publications
Here are some publications in lipidomics research from our clients:
- The olfactory receptor Olfr78 promotes differentiation of enterochromaffin cells in the mouse colon. 2024. https://doi.org/10.1038/s44319-023-00013-5
- Prospective randomized, double-blind, placebo-controlled study of a standardized oral pomegranate extract on the gut microbiome and short-chain fatty acids. 2023. https://doi.org/10.3390/foods13010015
- Annexin A2 modulates phospholipid membrane composition upstream of Arp2 to control angiogenic sprout initiation. 2023. https://doi.org/10.1096/fj.202201088R
- Loss of G0/G1 switch gene 2 (G0S2) promotes disease progression and drug resistance in chronic myeloid leukaemia (CML) by disrupting glycerophospholipid metabolism. 2022. https://doi.org/10.1002/ctm2.1146
- Evidence for phosphate-dependent control of symbiont cell division in the model anemone Exaiptasia diaphana. 2024. https://doi.org/10.1128/mbio.01059-24
Why Creative Proteomics?
- Platform advantages: orbitrap mass analyzer, ultra-high resolution mass spectrometry, high-quality data
- Wide applicability: no species restriction, no standard product restriction
- High throughput: detect dozens of lipid molecules at one time, saving samples and costs
- Strong quantitative ability: the sensitivity can reach ppm level, and the linear range can reach 5-6 orders of magnitude
- State of art facilities
- Constantly optimized protocol and analytical software
- Professional experiment design
- Quick turnaround time
Sample Requirements
| Sample type | Recommended sample size | Pre-treatment and storage |
|---|---|---|
| Tissue | 100-200 mg | Snap freezing in liquid nitrogen, stored at -80℃. |
| Urine | 200-500 μL | 5000×g 4℃ Centrifuge for 30-60min, remove supernatant, store at -80℃. |
| Serum/plasma | >100 μL | Collected serum/plasma, snap freezing in liquid nitrogen, stored at -80℃. |
| Cerebrospinal fluid, amniotic fluid, bile and other body fluids | >200 μL | 4℃ Centrifuge for 10min, (or filter using 0.22μm membrane), remove supernatant and store at -80℃. |
| Suspension cells | >1*107 | Centrifuge and collect cells after liquid nitrogen snap freezing and store at -80℃. |
| Walled cells | >1*107 | Cultured walled cells are stored in 1.5ml centrifuge tubes, snap freezing in liquid nitrogen and stored at -80℃. |
| Cell supernatant | >2 mL | centrifuge at 4℃ for 3 minutes, take the supernatant and store at -80℃. |
Reference
- Li, Yang et al. "Metabolomics-based study of potential biomarkers of sepsis." Scientific reports vol. 13,1 585. 11 Jan. 2023
