Quantitative Lipidomics for Plants
Quantitative Lipidomics for Plants
Metware Biotechnology uses Widely Targeted Metabolomics technology to build a database specific for plant lipids and performs qualitative analysis from the mass spectrometry data of many biological materials, followed by semiquantification using QQQ and MRM to provide a comprehensive analysis of lipids in plant samples. This process is applicable to many plant research questions in growth and development as well as stress response.
Technology Introduction
A class of organic compounds known as lipids are easily soluble in non-polar solvents but insoluble in water. The lipidome, as a subtype of metabolome, focuses on annotating and quantifying lipids in samples in order to understand their functions in plant growth and development. Important cellular processes, such as material transport, energy metabolism, information transfer, and metabolic regulation, all depend on lipids. With the help of Widely Targeted Metabolomics and a specific database of more than 1747 plant lipids, our Quantitative Lipidomics Service for Plants allows high throughput analysis of plant lipids in all types of plant materials.
Technical Features of Quantitative Lipidomics Service for Plants
Detection Platform
LC-MS for metabolite detection, both qualitative and quantitative accuracy.
Comprehensive Database
Proprietary metabolite database for plant species, with 1747 lipid compounds in the database.
Rich Variety of Substances
Covering 6 major types of fatty acyl, glycerol esters, glycerophospholipids, sphingolipids, sterol esters, and isopentenol lipids.
Stable Detection
10 major quality control processes for providing high quality data.
Leading in the Number of Detected Substances
Between 800-1000 lipids detected in a typical run.
Comprehensive Analysis
Service comes with 12 analysis content and 22 display figures.
Post-sale Support
Comprehensive interpretation of the final report.
Applications of Quantitative Lipidomics for Plants Service
- Plant growth and development.
- Abiotic and biotic stresses.
- Food quality and processing.
SERVICES
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Analysis Cases Display of Quantitative Lipidomics for Plants Service
Amelioration of Chilling Injury by Fucoidan in Cold-Stored Cucumber via Membrane Lipid Metabolism Regulation
Journals: foods;
Research Map:
Zhang Y, Lin D, Yan R, Xu Y, Xing M, Liao S, Wan C, Chen C, Zhu L, Kai W, Chen J, Gan Z. Amelioration of Chilling Injury by Fucoidan in Cold-Stored Cucumber via Membrane Lipid Metabolism Regulation. Foods. 2023 Jan 8;12(2):301.
List of Quantitative Lipidomics
MetwareBio's plant quantitative lipid database offers comprehensive coverage with 1,747 plant lipids, categorized into 6 Class 1 and 31 Class 2 lipid types. This extensive database supports advanced lipidomics research, providing precise identification and quantification of diverse plant lipids. Ideal for researchers exploring plant biology, stress responses, and metabolic pathways, MetwareBio's database ensures high-quality lipid profiling.
|
Primary classification |
Num |
Secondary classification |
Num | Secondary classification | Num | Secondary classification | Num |
|---|---|---|---|---|---|---|---|
| Glycerolipids（11） | 958 | Monoacylglycerol (MG) | 19 | Diacylglycerol (DG) | 136 | Triacylglycerol (TG) | 490 |
|
Monogalactosyl- Diacylglycerol (MGDG) |
73 | Digalactosyldiacylglycerol (DGDG) | 58 | Sulfoquinovosyl diacylglycerol (SQDG) | 38 | ||
| Diacylglyceryl trimethylhomoserine (DGTS) | 81 | Lysodiacylglyceryl trimethylhomoserine (LDGTS) | 22 | Diacylglyceryl glucuronide (DGGA) | 1 | ||
| Acyl diacylglyceryl glucuronide (ADGGA) | 7 | Diacylglyceryl-3-O-carboxyhydroxymethylcholine (DGCC) | 33 | ||||
|
Glycero- phospholipids（13） |
530 | Lysophosphatidic acid (ADGGA) | 13 | Lysophophatidylcholine (LPC) | 33 | Lysophosphatidylethanolamine (LPE) | 25 |
| Lysophosphatidyl-glycerol (LPG) | 14 | Lysophosphatidylinositol (LPI) | 15 | Lysophosphatidylserine (LPS) | 17 | ||
| Phosphatidic acid (PA) | 41 | Phosphatidylcholine (PC) | 96 | Phosphatidylethanolamine (PE) | 93 | ||
| Phosphatidylglycerol (PG) | 53 | Phosphatidylinositol (PI) | 69 | Phosphatidylserine (PS) | 39 | ||
| Phosphatidylmethanol (PMeOH) | 22 | ||||||
| Fatty acyls (1) | 51 | Free fatty acid (FFA) | 51 | ||||
|
Sphingolipids (4) |
167 | Sphingosine (Sph) | 8 | Phytoceramide (Cert) | 42 | Ceramide (Cer) | 61 |
| Hexosylceramide (HexCer) | 56 | ||||||
| Sterol lipids (1) | 38 | Cholesteryl ester (CE) | 38 | ||||
| Prenol lipids (1) | 3 | Coenzyme Q (CoQ) | 3 |
Sample Requirements of Quantitative Lipidomics for Plants Service
| Sample requirements | ||||||||
| Sample Types | Fresh Sample | Dry Sample | Biological Repetition | |||||
| Tissue | Stems, buds, nodes, leaves, flowers, fruits, roots, healing tissues | 600mg | 50mg | 3-6 | ||||
| Note: Packed into suitable size centrifuge tubes (10mL/15mL), snap frozen in liquid nitrogen for 5-10min, stored in -80℃ refrigerator and transported on dry ice. | ||||||||
WHAT'S NEXT IN OMICS: THE METABOLOME
Please submit a detailed description of your project. We will provide you with a customized project plan metabolomics services to meet your research requests. You can also send emails directly to support-global@metwarebio.com for inquiries.
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