Creative Proteomics offers targeted lipidomics services for accurate lipid quantification and biomarker discovery. We use advanced LC-MS/MS and GC-MS platforms to analyze thousands of lipid species. Our services support disease research, drug development, and metabolic studies with reliable and reproducible data.
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Targeted Lipidomics is a specialized analytical approach that focuses on the precise quantification of specific lipid species. Unlike untargeted lipidomics, which provides broad lipid profiling, targeted lipidomics is designed to deliver accurate, reproducible data on lipid concentrations using established internal standards and multiple reaction monitoring (MRM) methods.
This technique is widely used in research areas that require quantitative lipid measurements to investigate lipid-related metabolic pathways, monitor physiological changes, and explore the role of lipids in various biological processes.
At Creative Proteomics, we offer specialized targeted lipidomics services for precise lipid quantification, structural characterization, and metabolic analysis, supporting diverse research applications.
Comprehensive Lipid Quantification
Utilizing LC-MS/MS with MRM mode, we deliver precise quantification of 8 major lipid classes and 50+ subclasses. Dynamic range: 4–6 orders of magnitude, enabling detection of trace to abundant lipids in cells, tissues, and biofluids.
Disease-Focused Lipid Panels
Preconfigured panels for cardiometabolic disorders, neuroinflammation, and cancer biomarkers, such as oxidized LDL, pro-apoptotic ceramides (C16:0/C18:0), and lysophosphatidic acid (LPA). Sensitivity as low as 0.1 pmol/mL, ideal for mechanistic studies and preclinical validation.
Structural Characterization of Modified Lipids
High-resolution Q-TOF and LIPID MAPS® database integration enable identification of oxidized lipids (e.g., 4-HNE), acetylated/glycosylated phospholipids, and branched-chain fatty acids, elucidating roles in oxidative stress and signaling pathways.
Lipid Metabolic Flux Analysis
13C/2H isotope tracing tracks lipid turnover in pathways like mitochondrial β-oxidation and phospholipid remodeling. Kinetic modeling quantifies flux rates, supporting research on metabolic diseases and drug mechanisms.
Custom Lipidomics Solutions
Tailored assays for novel lipids or complex matrices (e.g., extracellular vesicles, plant cuticular waxes). Optimized protocols for challenging samples (FFPE tissues, microbial biofilms), validated via spike-recovery and precision tests (CV <15%).
Advanced Data Analysis
Deliverables include interactive pathway maps, machine learning-powered biomarker heatmaps, and PCA plots. Compatible with MetaboAnalyst 5.0 and GraphPad Prism for streamlined analysis and publication-ready visuals.
Fatty acyls refer to the fatty acid derivatives and their oxidized products. These include various signaling lipids.
These lipids form a major component of cell membranes and are involved in signaling pathways.
AB SCIEX 6500+ QTRAP (Figure from SCIEX)
Thermo Scientific™ UltiMate™ 3000 (Figure from Thermo Fisher)
Agilent 7890A GC System (Figure from Agilent)
This report delivers a high-level summary of lipidomic data, ensuring data quality and offering an initial understanding of lipid distribution across samples.
Key Features:
This report acts as a preliminary checkpoint, ensuring robust data for further exploration.
Chromatogram of diacylglycerol (DAG) and ceramide (CER) standard mixture (Preuss, Christina, et al. 2019).
Dive deeper into your lipidomics data with detailed profiling, comparative analysis, and identification of lipid variations.
Key Features:
This analysis aids in identifying lipid biomarkers and understanding biological responses.
Designed for hypothesis-driven research, this report provides tailored insights through statistical modeling and pathway enrichment analysis.
Key Features:
Explore our Lipidomics Solutions brochure to learn more about our comprehensive lipidomics analysis platform.
| Sample Type | Sample Collection | Lysis Method | Recommended Quantity | Additional Considerations |
|---|---|---|---|---|
| Tissues | Homogenization for cell release | Tissue-specific lysis protocols | 10-50 mg tissue | Tissue-specific considerations; avoid contamination during handling. |
| Cell Culture | Harvesting with trypsin or other methods | Specialized buffers for efficient lysis | Varies based on culture dish | Consistent culture conditions and avoiding contamination are crucial. |
| Plasma/Serum | Blood collection with anticoagulants | Protein precipitation or organic extraction | 100-500 μL | Immediate sample processing to prevent lipid alterations. |
| Cell Pellets | Centrifugation and washing | Specialized detergents for efficient lysis | 1-5 x 10^6 cells | Optimize washing steps to minimize cell residue. |
| Lipoproteins | Ultracentrifugation or density gradient | Organic extraction or specialized methods | 50-200 μL | Handle lipoproteins with care to prevent structural alterations. |
| Exosomes | Ultracentrifugation or precipitation | Specialized extraction methods | 100-500 μL | Maintain proper exosome isolation techniques for accurate analysis. |
| Breast Milk | Collection in clean containers | Lipid extraction from milk | 5-10 mL | Minimize contamination during collection and processing. |
| Skin Biopsy | Biopsy procedure | Tissue-specific lysis protocols | 5-10 mg tissue | Preserve sample integrity and prevent degradation. |
| Urine | Midstream collection in sterile containers | Organic extraction or precipitation | 5-10 mL | Process samples promptly to prevent lipid changes. |
| Feces | Fresh collection in airtight containers | Homogenization and organic extraction | 100-500 mg | Minimize oxygen exposure to maintain sample stability. |
| Plants | Harvest and flash freeze | Tissue-specific lysis protocols | 50-200 mg | Rapid freezing preserves lipid profiles in plant tissues. |
| Microorganisms | Culture or direct collection | Cell lysis and extraction methods | Varies based on biomass | Choose appropriate lysis methods for different microorganisms. |
| Food | Homogenization or extraction | Solvent-based extraction methods | Varies based on food type | Tailor extraction methods to the characteristics of the food sample. |
In the pharmaceutical and biotechnology fields, lipidomics is used to identify lipid-based biomarkers, study the effects of drugs, and understand the underlying mechanisms of diseases. By analyzing how lipids change in response to treatments, researchers can improve drug development and discover new therapeutic targets.
Lipidomics is vital in food science, helping to analyze the lipid content of different foods and their effects on health. It provides valuable insights into how dietary fats impact metabolic processes, inflammation, and the risk of chronic diseases like obesity and heart disease.
Lipidomics is increasingly used in disease research to explore how lipids contribute to conditions like cancer, cardiovascular diseases, neurodegeneration, and metabolic disorders. By examining lipid profiles in blood, tissues, and cells, researchers can identify new biomarkers and potential treatments.
In environmental toxicology, lipidomics helps assess how environmental pollutants affect lipid metabolism in animals, plants, and humans. It provides insights into how exposure to chemicals like pesticides or industrial toxins can alter lipid profiles, helping to identify potential health risks and environmental hazards.
Lipidomics can be applied to agriculture to study how plants and animals use lipids for growth, energy storage, and stress response. It helps improve crop quality, enhance resistance to diseases, and optimize animal health, supporting better agricultural practices and food production.
In microbiology, lipidomics is used to analyze the lipid profiles of bacteria, fungi, and other microorganisms. This research helps understand how microorganisms adapt to different environments, resist stress, or cause infections, and can lead to new ways of combating antibiotic resistance or improving industrial fermentation processes.
How should biological and technical replicates be designed for lipidomics studies? Are there specific recommendations?
What are the critical steps for sample transportation and storage to prevent lipid degradation?
Use EDTA plasma (not serum) to minimize platelet phospholipid interference. Centrifuge within 30 minutes at 4°C (2,000×g, 10 min), aliquot, and flash-freeze at -80°C. Ship on dry ice using frost-free tubes to avoid freeze-thaw cycles.
Rinse fresh tissues with ice-cold PBS before snap-freezing in liquid nitrogen. For FFPE samples, specify section thickness (5 μm) and fixation time (<48 hours).
How do you normalize lipidomics data from cell samples with varying viability or density?
Use cell counts (trypan blue exclusion) or total protein quantification (BCA assay) as a baseline. For apoptotic cells (>20% apoptosis), apply FACS sorting to remove dead cells or use SPE purification to eliminate lyso-phospholipids.
How are internal standards (IS) selected and validated? Do they cover all target lipids?
Can raw MS data (chromatograms, integration parameters) be provided for independent verification?
Yes. Deliverables include:
How do you address low signal-to-noise ratios or missing peaks in the data?
We follow a 3-step troubleshooting protocol:
1. Retest: Freshly prepare mobile phases and reinject samples to rule out solvent degradation.
2. Matrix Enhancement: Add matrix-matched calibration curves for low-abundance lipids (e.g., lyso-PLs in serum).
3. Alternative Transitions: Re-optimize collision energy (CE) or validate secondary fragment ions (ion ratio consistency >70%).
What safeguards are in place to prevent lipid oxidation during sample preparation?
How do you ensure accurate quantification across wide lipid concentration ranges (e.g., plasma TAG spanning 10^6)?
We employ a split dilution strategy:
Are species-specific lipid databases available for animal models (e.g., mice, zebrafish)?
Yes. Our curated databases include:
Can you analyze lipid-protein or lipid-metabolite interactions as part of multi-omics studies?
We offer integrated cross-omics analysis:
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