Widely-Targeted Metabolomics incorporates the advantages of high throughput of Untargeted Metabolomics with the high accuracy and sensitivity of Targeted Metabolomics to provide high-throughput identification and quantification of a wide variety of metabolites. It is widely used in plant metabolism research, where the number of metabolites far exceeds that in animals.
With our tailored in-house database at Novogene, Widely-Targeted Metabolomics enables the accurate identification of more than 30000 metabolites together with cutting-edge bioinformatics analyses to deliver high-quality metabolomic data to support your research.
Applications:
Widely-Targeted Metabolomics combines the breadth of untargeted global profiling with the precision of targeted assays, making it a valuable tool across diverse research areas. Common applications include:
- Plant Stress and Growth Regulation Studies
- Clinical Biomarker Verification
- Pharmacokinetics & Drug Metabolism
- Metabolic Pathway Validation
- Nutritional Analysis in Food & Agriculture
- Microbiome-Metabolome Interaction Research
Advantages and Features of Novogene's Widely-Targeted Metabolomics Services:
- Ultra-high Quantification and Identification: Combining the SCIEX Triple TOF 6600+ ultra-high resolution mass specltrum and SCIEX QTRAP®6500+ mass spectrometry platform using MRM mode, Novogene delivers exceptional data quality for precise and reliable results.
- High Quality Database: Access to an extensive catalog of over 280,000 metabolites. Each sample can typically identify over 2000 metabolites.
- Rigorous Quality Control: 10 QC indicators for monitoring all aspects of experimentation from sample preparation to data collection.
- Comprehensive Metabolite Information:
1) In-house standard database;
2) Integrated public database;
3) AI database;
Sample Requirements for Biomedical Metabolomics Sample：
| Sample Type | Sample | Recommended Sample | Biological Replicate |
| Liquid | Plasma, Serum, Hemolymph, Whole Blood, Milk, Egg White | 100 μL | Human≥30, Animal≥8, Plant≥3 |
| Cerebrospinal Fluid, Interstitial Fluid, Uterine Fluid, Pancreatic Juice, Bile, Pleural Effusion, Follicular Fluid, Postmortem Fluid, Tissue Fluid, Culture Medium (liquid), Culture Supernatant, Tears, Aqueous Humor, Digestive Juices,Bone Marrow (liquid) | 100 μL | ||
| Seminal Plasma, Amniotic Fluid, Prostatic Fluid, Rumen Fluid, Respiratory Condensate, Gastric Lavage Fluid, Broncho-alveolar Lavage Fluid (BALF), Urine, Sweat, Saliva, Sputum | 500 μL | ||
| Tissue | Animal Tissues, Placenta, Blood Clot, Mycelium, Nematode, Zebrafish (whole fish), Bone Marrow (solid), Nail | 100 mg | |
| Whole Insect Body, Wings (of insects), Pupa, Eggs, Large Fungi (mushroom types), Large Algae (red algae), Large Amount of Mycelium/Mycelial Balls, Cartilage, Bone (solid) | 500 mg | ||
| Zebrafish Organs, Insect Organs, Whole Microinsect Body (e.g., Drosophila) | 20 units | ||
| Solid | Feces, Intestinal Contents, Lyophilized Fecal Powder | 200 mg | |
| Milk Powder, Microbial Fermentation Product (solid), Culture Medium (solid), Earwax, Lyophilized Tissue Powder,Feed, Egg Yolk, Lyophilized Plant Powder, Lyophilized Egg Powder | 100 mg | ||
| Honey, Nasal Mucus, Sputum | 100 mg | ||
| Sludge, Soil | 600 mg | ||
| Cell | Adherent Cells, Animal Cell Lines | 1*10^7 cells | |
| E. Coli, Yeast Cells | 1×10^10 cells | ||
| Small Amount of Fungal Mycelial Balls/Mycelium, Unicellular Algae (Cyanobacteria), Large Quantities of BacterialHyphae (sediment), Mucilaginous Protoplasmic Clusters (hyphae) | 100 mg | ||
| Organelle | Lysosomes, Mitochondria, Endoplasmic Reticulum | 4×10^7 cells | |
| Exosomes, Extracellular Vesicles | 2×10^9Particles | ||
| Special Sample | Skin Tape or Patch | 2 pieces | |
| Test Strips | 2 pieces | ||
| Swab | 1 piece |
Notes:
1. Not applicable for GC-MS.
2. The amounts shown in the table are for a single round of metabolite extraction. If the sample volume is sufficient, it is recommended to provide enough for two rounds of extraction. This way, if the first extraction does not yield ideal results, it can help avoid the delay caused by having to re-submit samples.
3. Appropriate for Untargeted Metabolomics, Untargeted Plus Metabolomics, TM Widely-Targeted Metabolomics, Quantitative Lipidomics, Energy Metabolism, Amino Acids, Tryptophan, and Short-Chain Fatty Acids studies.
Sample Requirements for Plant Metabolomics Sample：
| Sample Type | Sample | Recommended Sample | Biological Replicate |
| Tissue | Root, Stem, Leaf, Fruit, Flower, Bud, Node, Callus | 600 mg | Human≥30, Animal≥8, Plant≥3 |
| Fruit Peel, Seed Coat | 600 mg | ||
| Anther, Filament, Pollen, Style, Stigma, Embryo | 1.2 g | ||
| Liquid | Root Exudate | 10 ml | |
| Juice, Wine, Fermentation Broth | 5 ml | ||
| Oils, Essential Oils, Honey, Nectar, Paste | 500 μl | ||
| Herb Extract, Herb Decoction, Plant Tissue Fluid | 500 μl | ||
| Cell | Cultured Plant Cell | 1×10^7 cells | |
| Algae | 300 mg | ||
| Solid | Lyophilized Plant Powder | 200 mg | |
| Sludge, Soil | 600 mg |
Notes:
1. Not applicable for GC-MS.
2. For extracted metabolites, please advise on the recommended quantity for the extraction process.
3. Suitable for Untargeted Metabolomics, Widely-Targeted Metabolomics, Quantitative Lipidomics, Flavonoids, Carotenoid, Anthocyanin, Energy Metabolism, Amino Acids, Short-Chain Fatty Acids Metabolomics for Plants.
4. Recommended sampling approach:
– Collect samples from 3 or more individuals for each biological replicate.
– Ensure a minimum of 3 biological replicates per sample group.
– Example: Combine leaves from 3 individual plants as one replicate; repeat for 2 more replicates (involving 6 additional individual plants) to achieve
3 biological replicates for one experimental group (e.g., Control).
– Repeat the process with 9 individual plants for the second experimental group (e.g., Treatment).
List of detectable metabolites for Plant
| Substance category | Num. | Representative compounds |
| Flavonoids | 7800+ | Rutin, Phloretin, Phelligrin A, Hesperetin, Licorice glycoside A, Pelargonidin-3-O-glucoside, Ginkgetin, Formononetin, Theaflavin |
| Phenolic acids | 2500+ | Chlorogenic acid, Momordicoside A, Oleuropein, Salvianolic acid A, Tatariside A, Veratric acid, Salidroside, Parishin B, Magnoloside A, Vanillic acid |
| Alkaloids | 8500+ | α-Solanine, Verticine, Nuciferine, Stachydrine, Matrine, Camptothecin, Arecoline, DIMBOA, Avenanthramide A, Lycorenine |
| Terpenoids | 12000+ | Artemisinine, Genipin, Paclitaxel, Wilforlide A, Protopanaxdiol, Saikosaponin A, Cucurbitacin B, Crocin I, Cyclocarioside Ⅰ, Ecliptasaponin A |
| Quinones | 1000+ | Emodin, Obtusin, Lapachone, Shikonin, Tectograndone, Morindaparvin A, Aloesin, 5-Hydroxydigitolutein, Trijuganone A |
| Steroid | 1600+ | Asparagoside C, Polyphyllin I, Timosaponin A-III, Gracillin, Sarsasapogenin, Tigogenin, Digitonin, Oleandrin |
| Tannins | 400+ | Ellagic acid, Gemin D, Casuariin, Punicalin, Chebulagic acid, 1,3,6-Tri-O-galloylglucose, Chebulanin, Tellimagrandin I |
| Lignans | 1100+ | Honokiol, Syringaresinol, Arctigenin, Pinoresinol, Schisanhenol, Sesamin, Chestnutlignansoide, Trachelogenin, Fargesin, Isolariciresinol |
| Glucosinolates | 200+ | Sulforaphane, Gluconasturtiin, Sinalbin, Glucocheirolin, Glucoraphanin, 4-Hydroxy-3-indolylmethyl glucosinolate, Sinigrin, 4-Methylsulfinyl-3-Butenyl Glucosinolate |
| Coumarins | 1500+ | Umbelliprenin, Psoralen, Glycycoumarin, Xanthotoxol, Scopolin, Bengenin, Bergapten, Decursinol, Dihydrocoumarin |
| Organic acids | 2100+ | Succinic acid, Malic acid, Citric Acid, Quinic Acid, Abscisic acid, Tartaric acid, Shikimic acid, Aconitic Acid, Salicylic acid, Cinnamic acid, Maleic acid |
| Vitamins | 50+ | Vitamin C, Vitamin B2, Vitamin A1, Vitamin U, Ginkgotoxin, Nicotinic acid, Nicotinamide, Retinol, Vitamin D3, Tocotrienol |
| Amino acids and derivatives | 800+ | Tryptophan, Theanine, Beauvericin, Dencichin, Heterophyllin, Saccharopine, Alliin, Dopa, S-Adenosylmethionine, γ-Glu-Cys |
| Nucleotides and derivatives | 300+ | Adenine, Cytosine, Thymine, Inosine, Eritadenine, Xanthosine, Cordycepin, Sepiapterin, Adenosine 5′-monophosphate |
| Saccharides and Alcohols | 450+ | Glucose, Fructose, Sucrose, Fucose, Xylitol, Rhamnose, Maltose, Raffinose, Allitol, Mannitol |
| Lipids | 900+ | Linolenic acid, 4-Hydroxysphinganine, Lauric acid, Myristic Acid, Palmitic acid, Arachidonic Acid, Stearic Acid |
| Others | 20000+ | Aflatoxin B1, Secoxyloganin, Kavain, Terreic acid, Mansonone E, Litchiol A, Myricanol, Safranal, Bruceine A, Gambogic acid |
| Total | 61150+ |
List of detectable metabolites for others
| Substance category | Num. | Representative compounds |
| Amino acids and their derivatives | 600+ | Glycine, L-threonine, L-arginine, N-acetyl-L-alanine |
| Organic acids and their derivatives | 400+ | 3-hydroxybutyric acid, adipic acid, hippuric acid, kynurenine |
| Nucleotides and their derivatives | 200+ | Adenine, 5′-Adenine Nucleotide, Guanine, 2′-Deoxycytidine |
| Carbohydrates and their derivatives | 100+ | D-glucose, glucosamine, D-fructose 6-phosphate |
| Lipid | 500+ | O-acetylcarnitine, γ-linolenic acid, lysophosphatidylcholine 22:4 |
| Benzene and its derivatives | 500+ | Benzoic acid, 3,4-dimethoxyphenylacetic acid, 4-hydroxybenzoic acid |
| Coenzymes and vitamins | 60+ | Folic acid, pantothenic acid, vitamin D3 |
| Alcohols, amines | 150+ | Dopamine, histamine, DL-1-amino-2-propanol |
| Aldehydes, ketones, esters | 120+ | Furfural, ethyl butyrate, α-pentyl cinnamaldehyde |
| Heterocyclic compounds | 200+ | Pyridoxal, biopterin, indole-3-acetic acid |
| Bile acids | 40+ | Glycocholic acid, deoxycholic acid, taurolithocholic acid |
| Hormones and hormone-related substances | 100+ | Juvenile hormone 3, epinephrine, 3,3′-diiodo-L-thyroxine |
| Tryptamine, choline, pigment | 15+ | Serotonin, bilirubin (E-E), urobilin |
| Other | 50+ | Astaxanthin, hydroxyurea |
| Total | 3000+ |
Project Workflow
Metabolomics research experimental procedures encompass sample collection and pre-processing, metabolite extraction, LC-MS data acquisition, metabolite annotation and identification through database searching, and bioinformatic analysis. These steps enable researchers to gain holistic insights into the metabolic state of a system.
At Novogene, we uphold the highest standards of precision and quality control at every step of the experimental process, ensuring consistent, reliable and high-quality data for your research.
Principal component analysis of sample groups
Discriminant Analysis by Orthogonal Partial Least Squares (OPLS-DA)
Bar chart of differential metabolites
Volcano plot of differential metabolites
Hierarchical clustering tree
Heatmap of differential metabolites
Chord diagram of differential metabolites
Correlation network diagram of differential metabolites
