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What are Lysophospholipid?
Lysophospholipids are monoacyl derivatives of phospholipids, generated primarily via the action of phospholipases or during lipid remodeling processes. As critical bioactive lipids, LPLs are not merely structural components of cell membranes but serve as potent signaling molecules involved in inflammation, cell proliferation, migration, and membrane dynamics. Their roles in energy metabolism, immunity, and lipid transport make them valuable biomarkers and targets in basic research and industrial applications.
Creative Proteomics offers a comprehensive lysophospholipid profiling service that captures this lipid subclass's complexity across diverse sample types, providing researchers with actionable insights.
Lysophospholipid Analysis in Creative Proteomics
Targeted Quantification of Lysophospholipids
Absolute quantification of 50+ LPL species using class-specific isotopic internal standards, ensuring high accuracy and reproducibility.
Untargeted LPL Profiling and Novel Compound Discovery
High-resolution, data-dependent acquisition to identify known and unknown lysophospholipid species and their lipid derivatives.
Isomer-Specific Characterization
Separation and analysis of positional and geometric LPL isomers using UHPLC-MS/MS with reference standard validation.
Integrated LPL Metabolomics and Pathway Mapping
Functional interpretation of LPL alterations in the context of lipid metabolic pathways, including phospholipase A2 and autotaxin signaling axes.
Spatial Lipidomics (Optional Add-On)
MALDI-TOF mass spectrometry imaging for localization of LPLs directly in tissue sections, enabling spatial lipid profiling.
Advanced Statistical and Bioinformatics Analysis
Multivariate data analysis (e.g., PCA, clustering, biomarker screening) and pathway annotation with full reporting for publication or downstream research.
List of Detected Lysophospholipid
| LPL Class | Representative Molecular Species | Related Metabolites | Associated Metabolic Pathways |
|---|
| Lysophosphatidylcholine (LPC) | LPC 16:0, LPC 18:0, LPC 18:1, LPC 20:4, LPC 22:6 | Choline, Glycerophosphocholine (GPC) | Glycerophospholipid metabolism, Inflammatory signaling |
| Lysophosphatidylethanolamine (LPE) | LPE 16:0, LPE 18:1, LPE 20:4, LPE 22:6 | Ethanolamine, Glycerophosphoethanolamine (GPE) | PE remodeling, Endocannabinoid metabolism |
| Lysophosphatidic acid (LPA) | LPA 16:0, LPA 18:1, LPA 20:4 | Monoacylglycerol, Glycerol-3-phosphate | Autotaxin-LPA signaling, Cell motility regulation |
| Lysophosphatidylinositol (LPI) | LPI 16:0, LPI 18:0, LPI 20:4 | Inositol phosphate, DAG | PI cycle, Insulin signaling |
| Lysophosphatidylserine (LPS) | LPS 18:0, LPS 18:1, LPS 20:4 | Serine, Glycerophosphoserine (GPS) | Apoptosis regulation, Immune modulation |
| Lysophosphatidylglycerol (LPG) | LPG 16:0, LPG 18:1, LPG 20:4 | Glycerol, Glycerophosphoglycerol (GPG) | PG biosynthesis, Mitochondrial membrane metabolism |
| Lysophosphatidylinositol 4-phosphate (LPI-4P) | LPI-4P 18:0, LPI-4P 20:4 | Inositol-4-phosphate | Phosphoinositide signaling |
| Plasmalogen-type LPLs | LPC P-16:0, LPE P-18:1 | Vinyl ether lipids | Ether lipid metabolism |
| Other Related Lipid Intermediates | Monoacylglycerols (MAGs), Free fatty acids | Acyl-CoAs, Glycerol | Lipolysis, β-oxidation, Glycerolipid metabolism |
Why Choose Our Lysophospholipid Assay?
- High Analytical Sensitivity: Detection limits as low as 1–5 ng/mL for major lysophospholipid species using isotope dilution mass spectrometry.
- Broad Molecular Coverage: Capable of identifying and quantifying 50–100+ LPL molecular species across LPC, LPE, LPA, LPI, LPS, LPG subclasses.
- Excellent Quantification Precision: Intra- and inter-batch coefficient of variation (CV) maintained under 15% for most LPL species.
- Isomer Differentiation Capability: Positional and geometric LPL isomers can be distinguished via UHPLC separation with MS/MS fragmentation, with resolution down to <0.01 minutes retention time differences.
- Spatial Resolution in Imaging Mode: MALDI-TOF imaging provides spatial localization down to 10 µm, enabling subcellular LPL distribution analysis in tissue sections.
- Pathway-Level Integration: Annotates 10+ lipid-related metabolic pathways, including phospholipase A2/autotaxin signaling cascades and downstream effectors.
- Flexible Throughput: Supports small-scale validation studies (n < 10) and large cohort analyses (n > 500) with batch normalization protocols.
- Custom Panel Scalability: Custom LPL target panels can be expanded or refined with over 500+ internal LPL references in our validated lipid database.
- Robust Bioinformatics Support: Includes PCA, clustering, volcano plots, and pathway maps with >95% data completeness across samples in quality-controlled runs.
How Creative Proteomics Provides Lysophospholipid Assay?
What Methods are Used for Our Lysophospholipid Analysis?
Sciex QTRAP® 6500+ LC-MS/MS: Ultra-sensitive quantification in MRM mode with enhanced linear dynamic range.
Thermo Fisher Orbitrap Exploris 480: High-resolution, accurate-mass detection for untargeted lipidomics workflows.
Agilent 1290 Infinity II LC System: Reliable chromatographic separation with superior peak resolution.
SCIEX Triple Quad™ 6500+ (Figure from Sciex)
Agilent 1260 Infinity II HPLC (Fig from Agilent)
Orbitrap Exploris™ 240 (Figure from Thermo Fisher)
Lysophospholipid Analysis Service: Results and Data Analysis
Standard Deliverables
We provide all essential data outputs to ensure transparency, reproducibility, and scientific rigor:
- Raw MS Data Files: Instrument-specific raw files (e.g., .wiff, .raw) for archival and independent re-analysis.
- Peak Identification Table: Includes retention time, precursor m/z, lipid species name (e.g., LPC 18:1), adduct type, and MS/MS annotation confidence.
- Absolute Quantification Report: Concentration of each lysophospholipid species (e.g., pmol/μL or ng/mg tissue), normalized by internal standards and sample input.
- QC Summary: Internal standard recovery, signal-to-noise ratios, coefficient of variation (CV%), and batch-to-batch consistency.
- Method Parameters: Detailed LC gradient, MS acquisition settings, and sample preparation protocols used for your project.
Representative chromatogram of LPLs in GEF using LC-MS/MS (Cho, Hee-Jung, et al., 2019).
MS/MS spectrum corresponding to (A) LPC-C16:0 (m/z 496.4) and (B) LPC-C18:1 (m/z 522.4) showing the release of water and the phosphocholine moiety (m/z 184.1) (Takahashi, Fumikazu, et al., 2019).
Advanced Data Analysis (Optional)
For clients seeking biological interpretation and statistical insight, we offer advanced data analytics upon request:
- Multivariate Statistical Analysis: PCA (Principal Component Analysis), PLS-DA, and clustering to reveal sample grouping and outliers.
- Differential Lipid Expression: Fold-change analysis with statistical significance testing (e.g., t-test, ANOVA, FDR correction).
- Lipid Pathway Mapping: Integration with KEGG, HMDB, or LipidMaps to contextualize LPL alterations within metabolic networks.
- Visualization Tools:Heatmaps, volcano plots, boxplots, and correlation matrices to support presentations and publications.
- Customized Biological Interpretation: Expert insight on potential biological roles of dysregulated LPLs and suggestions for follow-up experiments.
Delivery Formats
- Excel and CSV spreadsheets for direct use in bioinformatics workflows and data visualization platforms.
- Graphical summary reports (PDF) including volcano plots, lipid class distribution charts, clustering heatmaps, and pathway enrichment diagrams.
- Expert interpretation summaries, highlighting key glycolipid alterations, biological implications, and potential mechanistic insights.
Explore our Lipidomics Solutions brochure to learn more about our comprehensive lipidomics analysis platform.
Download Brochure
What Our Lysophospholipid Analysis Used For
Lipid Metabolism Research
Monitor lysophospholipid intermediates in phospholipid remodeling and turnover studies.
Cellular Stress Response
Investigate LPL level changes under oxidative, thermal, or osmotic stress conditions.
Nutrient Supplementation Studies
Evaluate the lipidomic impact of specific dietary components or fatty acid precursors.
Plant Abiotic Stress Physiology
Assess membrane lipid adaptations in plants under drought, salinity, or temperature stress.
Microbial Lipidomics
Profile LPLs in bacterial and fungal systems to study membrane fluidity and adaptation mechanisms.
Environmental Toxicology
Use LPL shifts as indicators of lipid peroxidation and membrane disruption in exposed organisms.
Sample Requirements for Lysophospholipid Analysis Solutions
| Sample Type | Required Amount | Storage & Transport Notes |
|---|
| Plasma / Serum | ≥ 100 μL | Collect using EDTA or heparin tubes; avoid hemolysis. Store at -80°C and ship on dry ice. |
| Cell Pellet | ≥ 1 × 10⁷ cells | Wash with PBS, centrifuge, snap-freeze in liquid nitrogen. Store at -80°C. |
| Animal Tissue | ≥ 50 mg | Freeze immediately after collection. Avoid preservatives. Store at -80°C, ship on dry ice. |
| Cell Culture Medium | ≥ 500 μL | Use serum-free medium if possible. Pre-clear by centrifugation. Store at -80°C. |
| Plant Tissue | ≥ 100 mg (fresh/frozen) | Rinse, blot dry, freeze or freeze-dry. Store at -80°C or in vacuum-sealed bags. |
| Bacterial Biomass | ≥ 5 × 10⁸ cells | Pellet by centrifugation, wash with PBS. Snap-freeze and store at -80°C. |
| Fungal Mycelia | ≥ 100 mg (wet weight) | Harvest, rinse if needed, freeze immediately. Store at -80°C. |
FAQs for Lysophospholipid Analysis Service
Can I submit freeze-dried samples for analysis?
Yes, freeze-dried samples are acceptable and often preferred for plant and microbial materials. Please ensure samples are sealed and stored under dry, cool conditions prior to shipment.
Is there a recommended protocol for sample collection and storage before submission?
While protocols may vary by sample type, we generally recommend immediate freezing in liquid nitrogen and storage at -80°C. Avoid the use of stabilizers or preservatives unless previously discussed with our team.
What level of biological replication is recommended for statistical analysis?
We recommend a minimum of 3 biological replicates per group to support robust statistical comparisons. More replicates improve confidence, especially in low-abundance LPL detection.
Can you distinguish between LPLs derived from enzymatic vs. non-enzymatic processes?
Our platform quantifies individual LPL species, but distinguishing the origin (e.g., PLA2-mediated vs. oxidation) typically requires contextual interpretation or complementary assays.
How do you control for batch effects during analysis?
We include pooled QC samples, blank runs, and internal standard calibration throughout the batch to monitor and correct for drift or batch-specific variation.
Are there any compounds that may interfere with lysophospholipid detection?
Yes, compounds such as detergents, residual salts, or lipid additives (e.g., BSA, Tween) can interfere with LC-MS signals. Please avoid these in sample prep unless necessary.
What is the typical turnaround time for lysophospholipid analysis?
While timelines depend on project size, most LPL projects are completed within 2–3 weeks after sample receipt. Rush services may be available upon request.
Will my data be comparable across different project batches?
Yes, if internal standards and acquisition parameters are consistent across batches, cross-project comparability is supported. Let us know if cross-study normalization is needed.
What level of detection variation should I expect across replicates?
For well-prepared samples, technical variation (CV%) typically falls below 15% for most LPL species. Biological variation depends on sample heterogeneity and condition.
Can your team assist with integration of LPL data into multi-omics studies?
Absolutely. We support lipidomics integration with transcriptomics, metabolomics, and proteomics datasets through joint interpretation and pathway analysis services.
Publication
- White matter lipid alterations during aging in the rhesus monkey brain. GeroScience, 2024. https://doi.org/10.1007/s11357-024-01353-3
- Characterization of Dnajc12 knockout mice, a model of hypodopaminergia. bioRxiv, 2024. https://doi.org/10.1101/2024.07.06.602343
- Annexin A2 modulates phospholipid membrane composition upstream of Arp2 to control angiogenic sprout initiation. The FASEB Journal, 2023. https://doi.org/10.1096/fj.202201088R
- Multi‐omics identify xanthine as a pro‐survival metabolite for nematodes with mitochondrial dysfunction. EMBO Journal, 2019. https://doi.org/10.15252/embj.201899558
- Evidence for phosphate-dependent control of symbiont cell division in the model anemone Exaiptasia diaphana. mBio, 2024. https://doi.org/10.1128/mbio.01059-24
- The olfactory receptor Olfr78 promotes differentiation of enterochromaffin cells in the mouse colon. EMBO reports, 2024. https://doi.org/10.1038/s44319-023-00013-5
- Metabolomic Studies in Girls With Central and Peripheral Precocious Puberty. Fabad Journal of Pharmaceutical Sciences, 2023. https://doi.org/10.55262/fabadeczacacilik.1344851
- Prospective randomized, double-blind, placebo-controlled study of a standardized oral pomegranate extract on the gut microbiome and short-chain fatty acids. Foods, 2023. https://doi.org/10.3390/foods13010015
