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Widely-Targeted Metabolomics

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 Animal Tissues and Fluids Metabolomics Samples:

Sample Type Sample Recommended Sample Minimum Sample Biological Replicate
Liquid Plasma, Serum, Hemolymph, Milk, Egg White 100μL 20μL Human≥30, Animal≥8, Plant≥3
Cerebrospinal Fluid, Tear Fluid, Interstitial Fluid, Uterine Fluid, Pancreatic Fluid and Bile, Pleural Effusion, Follicular Fluid, Culture Medium 100μL 20μL
Seminal Plasma, Amniotic Fluid, Prostate Fluid, Rumen Fluid, Respiratory Condensate, Gastric Lavage Fluid, Alveolar Lavage Fluid, Urine, Sweat, Saliva, Sputum 500μL 100μL
Tissue Animal Tissue, Placenta, Thrombus, Fish Skin, Nematode 100mg 20mg
Insect Whole Body, Insect Wings, Pupae 500mg 20mg
Zebrafish Organs, Insect Organs 20mg 10mg
Stem, Bud, Node, Leaf, Root, Flower, Fruit, Healing Tissue, Animal Tissue 300mg 200mg
Cell Adherent Cells 1*10^6 5*10^5

Notes:
1) Not applicable for GC-MS.
2) For extracted metabolites, we advise the recommended quantity for the extraction process.
3) Appropriate for Untargeted Metabolomics, TM Widely-Targeted Metabolomics, Quantitative Lipidomics, and Energy Metabolism studies.

Sample Requirements for Plant Tissues and Fluids Metabolomics Samples:

Sample Type Sample Recommended Sample Minimum Sample Biological replicate
Tissue Fresh Tissue Sample: Root、Stem、Leaf、Flower、Fruit 600mg 300mg Human≥30, Animal≥8, Plant≥3
Dry Sample 50mg 30mg
Liquid Root secretion 10ml 3ml
Wine,Fermented Broth 5ml 3ml
Tissue fluid、Extracting solution 500μl 200μl
Jjuice 5ml 3ml
Oil、Essential oil 500μl 200μl
Honey 500μl 200μl
Special Tissue Trichome 50mg 15mg

Notes:
1) Not applicable for GC-MS.
2) For extracted metabolites, please advise on the recommended quantity for the extraction process.
3) Suitable for Widely-Targeted Metabolomics for Plants and Flavonoids Metabolomics.
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