Prenol Lipids Analysis Service

What are Prenol Lipids?

Prenol lipids constitute a distinct class of lipids characterized by the presence of a prenol or isoprenoid unit in their molecular structure. Isoprenoids, also known as terpenoids, are organic compounds derived from the assembly of multiple isoprene units. Prenol lipids play crucial roles in various biological processes and are involved in diverse cellular functions.

The structural uniqueness of prenol lipids arises from the incorporation of prenol units, which are derived from the isoprene biosynthetic pathway. Isoprene units consist of five carbon atoms arranged in a specific configuration. These prenol units can be linked together to form longer isoprenoid chains, contributing to the diversity of prenol lipid structures.

Prenol lipids play a pivotal role in diverse biological processes. Serving as vital biosynthetic precursors, they contribute to the creation of essential biomolecules such as vitamins, hormones, and respiratory pigments, thereby playing a crucial role in maintaining cellular homeostasis. Additionally, isoprenoid units derived from prenol lipids, such as geranylgeranyl pyrophosphate (GGPP) and farnesyl pyrophosphate (FPP), are integral to signal transduction. These units participate in critical post-translational modifications of proteins involved in cell signaling, ensuring the proper functioning of intracellular communication. Moreover, prenol lipids actively contribute to the structure and integrity of cellular membranes, influencing membrane fluidity and stability. The dysregulation of prenol lipid metabolism has been linked to various pathological conditions, including cancer, neurodegenerative diseases, and cardiovascular disorders. Therefore, the analysis of prenol lipids is essential for gaining insights into the molecular mechanisms underpinning these diseases and their potential therapeutic implications.

Prenol lipids analysis by Creative Proteomics encompasses a comprehensive suite of analytical methodologies designed to unravel the intricacies of these specialized lipids. The analysis is tailored to provide in-depth insights into the composition, structure, and functional roles of prenol lipids.

Prenol Lipids Analysis in Creative Proteomics

Lipid Profiling: Our prenol lipids analysis begins with a thorough lipid profiling process. Employing advanced Liquid Chromatography-Mass Spectrometry (LC-MS) and Gas Chromatography-Mass Spectrometry (GC-MS), we aim to comprehensively identify and quantify diverse Prenol Lipid species within a given sample matrix.

Isomeric and Structural Analysis: To delve into the nuances of prenol lipids, our analysis includes isomeric and structural analysis. High-Resolution Mass Spectrometry, coupled with sophisticated chromatographic separation techniques, enables us to discriminate and characterize isomeric variations, elucidating the structural complexities of these lipids.

Quantitative Analysis: Accurate quantification of prenol lipids is crucial, and our approach involves Isotope Dilution Mass Spectrometry. This technique ensures precise measurement of Prenol Lipid concentrations, providing reliable quantitative data across different sample types.

Identification of Prenol Lipid Classes: Our analysis extends to the classification of prenol lipids into specific lipid classes. Through the utilization of Tandem Mass Spectrometry (MS/MS), we achieve structural elucidation, allowing us to categorize prenol lipids based on their chemical compositions.

Isoprenoid Unit Analysis: We focus on the quantification of individual isoprenoid units, such as geranylgeranyl pyrophosphate and farnesyl pyrophosphate, within prenol lipids. Leveraging LC-MS and targeted MS/MS approaches, this analysis provides insights into the specific isoprenoid components present in the lipid profile.

Biosynthetic Pathway Analysis: Our prenol lipids analysis includes a detailed investigation into their biosynthetic pathways. Through metabolic labeling studies and pathway-specific precursor analysis, we gain a comprehensive understanding of the origin and synthesis of prenol lipids.

Functional Annotation: Beyond structural analysis, our approach involves functional annotation to uncover the biological roles of specific Prenol Lipid species. Integration of lipidomics data with other omics datasets allows for a holistic exploration of the functional implications of these lipids.

Statistical Analysis: To identify meaningful patterns and variations, statistical analysis is applied. Employing multivariate statistical methods, including principal component analysis and hierarchical clustering, we discern significant changes in Prenol Lipid profiles, providing a statistical foundation for data interpretation.

Data Visualization: In presenting complex lipidomic data, our analysis includes data visualization techniques. This involves the creation of lipidomic maps, heatmaps, and pathway diagrams to facilitate a clear and interpretable representation of the intricate prenol lipids landscape.

Quality Control and Assurance: To ensure the reliability and reproducibility of our analysis, stringent quality control measures are implemented. This includes the use of internal standards, calibration curves, and meticulous attention to quality assurance throughout the analytical process.

List of Prenol Lipids Available for Detection

ClassificationRepresentative Compounds
IsoprenoidsGeranylgeraniol, Farnesyl diphosphate, Geranylgeranyl diphosphate, Phytol, Squalene, Isopentenyl diphosphate, Polyisoprenoids
QuinonesUbiquinone, Menadione
Vitamin ETocopherol, Tocotrienols
Carotenoidsβ-Carotene, Lycopene

Prenol Lipids Lipidomics Analytical Techniques

Liquid Chromatography-Mass Spectrometry (LC-MS): For high-resolution analysis of prenol lipids, we rely on the Thermo Fisher Scientific Q Exactive HF-X Hybrid Quadrupole-Orbitrap Mass Spectrometer. This instrument's exceptional sensitivity and mass accuracy ensure precise identification and quantification of prenol lipids in complex samples, enhancing the depth of lipidomic insights.

Gas Chromatography-Mass Spectrometry (GC-MS): Our analysis of volatile prenol lipids features the Agilent 7890B Gas Chromatograph paired with the 5977B Mass Selective Detector. This GC-MS system excels in efficiently separating and accurately identifying volatile prenol lipids, providing crucial insights into this specific fraction of the lipidomic profile.

Sample Requirements for Prenol Lipids Lipidomics

Sample TypeSample Size RequirementStorage Conditions
Cell CultureMinimum 1 x 10^6 cellsFreeze cells at -80°C
TissuesMinimum 50 mgStore tissues at -80°C
Plasma/SerumMinimum 100 µLStore biofluids at -80°C
UrineMinimum 200 µLStore urine samples at -80°C
Cerebrospinal Fluid (CSF)Minimum 50 µLStore CSF samples at -80°C
Synovial FluidMinimum 100 µLStore synovial fluid at -80°C
Bile FluidMinimum 150 µLStore bile fluid at -80°C

Deliverables of Prenol Lipids Analysis

Comprehensive Lipid Identification and Quantification Report: Receive a detailed report outlining the identification and quantification of Prenol Lipids within your submitted samples. This report includes a comprehensive breakdown of individual lipid species and their respective concentrations, providing a nuanced view of the lipidomic profile.

Structural Insights: Gain insights into the structural characteristics of Prenol Lipids, including information on isomeric and structural variations. This analysis contributes to a deeper understanding of the lipidomic landscape, empowering you with detailed structural information.

Functional Annotations for Biological Context: Uncover the functional roles of identified Prenol Lipids, providing essential context to their potential biological significance. This information enhances the interpretation of the lipidomic data, linking lipid profiles to cellular processes.

Clear Data Visualization: Access clear and interpretable visual representations of the lipidomic data, including lipid maps, heatmaps, and pathway diagrams. These visuals aid in intuitively grasping the complexities of the Prenol Lipids profile, facilitating effective communication and understanding.

Quality Control Metrics for Reliability: Understand the reliability of the results through detailed information on the quality control measures implemented throughout the analysis. This transparency ensures the integrity and reproducibility of the lipidomic findings.

If you have any questions about our lipidomics services, please contact us.

* Our services can only be used for research purposes and Not for clinical use.


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