- Untargeted Metabolomics
- Lipidomics
- Targeted Metabolomics
- Functional Metabolomics
-
Proteomics
- Nanoparticle proteomics
- iTRAQ/TMT-based Proteomics Analysis
- Label free Quantitative Proteomics
- Protein Identification
- DIA proteomics
- Peptidomics
- Parallel Reaction Monitoring (PRM) Targeted Proteome
- Metpro -Ⅱ Protein-Metabolite Interactions
- Phosphoproteomics
- Acetylation Analysis
- Protein Ubiquitination Analysis
Introduction
AQ1100 is one of the largest target metabolomics panels available with coverage of 20 classes , 1100+ metabolites. This panel covers metabolites from key metabolic pathways within biological systems, gut microbiota-associated metabolites, and biomarkers reported in publications. These metabolites play pivotal roles in maintaining physiological homeostasis and regulating pathological mechanisms across various health and disease states.
AQ1100 utilizes a high-sensitivity triple quadrupole mass spectrometer to enable precise, rapid qualitative and quantitative analysis of over a thousand metabolites in samples within a short timeframe, achieving a comprehensive resolution of the sample metabolome.
Technical Advantages
◉ Large panel list
| Metabolite Classes | Quantity | Metabolites |
| Amino Acids and Derivatives | 200+ | Glycine, L-Alanine, γ-Aminobutyric acid, L-Lysine, L-Cysteine, L-Leucine... |
| Organic Acids | 160+ | Glycolic acid, Succinic acid, Maleic acid, Citraconic acid, Itaconic acid, Caffeic acid... |
| Nucleosides | 90+ | Adenosine, Uridine, Thymidine, 1-Methylguanosine, Cyclic adenosine monophosphate, Guanosine-5'-triphosphate... |
| Benzenoids | 90+ | p-Cresol sulfate, Scopoletin, Resveratrol, p-Cresol, Homovanillyl alcohol, 4-Aminophenol... |
| Bile Acids | 60+ | Cholic acid, Deoxycholic acid, Lithocholic acid, Taurocholic acid, Glycoursodeoxycholic acid, Protocholic acid... |
| Carbohydrates | 50+ | Gluconic acid, Glucose-6-phosphate, Fructose-6-phosphate, Maltobionic acid, Dihydroxyacetone phosphate... |
| Steroids | 50+ | Progesterone, Corticosterone, 24-Hydroxycholesterol, 27-Hydroxycholesterol, Pregnanediol... |
| Biogenic Amines | 40+ | Trimethylamine, n-Butylamine, Trimethylamine N-oxide, 5-Methoxytryptamine, Octopamine... |
| Oxylipins | 40+ | Prostaglandin E2, Thromboxane B2, 13S-Hydroxy-9Z,11E,15Z-octadecatrienoic acid... |
| Fatty Acids | 30+ | Stearic acid, Octanoic acid, Nonanoic acid, Decanoic acid, Lauric acid, Myristic acid, Arachidonic acid... |
| Indoles | 30+ | Melatonin, Tryptophol, Indole-3-acetic acid, Indole-3-propionic acid, 3-Indolelactic acid... |
| Purines | 20+ | Purine, Adenine, Guanine, Hypoxanthine, 1-Methylxanthine, Caffeine... |
| Vitamins | 20+ | Nicotinamide, Pyridoxamine, Vitamin B1, Vitamin B5, Vitamin D2, Vitamin K1... |
| Lipids | 20+ | Farnesyl pyrophosphate, Glycerophosphate, Sphingosine, Octanoylamide, 1-Palmitoyl-glycero-3-phosphate... |
| Carnitines | 15+ | Carnitine, Acetylcarnitine, Propionylcarnitine, Butyrylcarnitine, cis-Carnitine, Arachidonylcarnitine... |
| Pyridines | 10+ | 2-Hydroxypyridine, 2-Picoline, Trigonelline, 3-Pyridineacetic acid, 2-Methylnicotinamide... |
| Coenzymes | 10+ | Acetyl-CoA, Butyryl-CoA, Oleoyl-CoA, Linoleoyl-CoA, Succinyl-CoA... |
| Pyrimidines | 10+ | Cytosine, Thymine, Uracil, Dihydrothymine, 1,3-Dimethyluracil... |
| Others | 70+ | Maltol, Biotin, Urocanic acid, Imidazole, Coumarin, Bilirubin... |
◉ Average 600+ metabolites detection in samples
检出数量：metabolite detections
人血清：Human serum
人粪便：Human stool
人尿液：Human urine
小鼠肝脏：Mouse liver
◉ Accurate detection
1) Z-HILIC+C18 LC conditions to cover polar and non-polar metabolites
EIC in C18 LC condition
EIC in Z-HILIC condition
2) Mix-standard from every listed metabolite to be tested together with samples
◉ Client publications using Biotree's target metabolomics testing
文章：Title
期刊：Journal
影响因子：IF
| Research Topic | Sample Type |
| Cardiovascular | Mouse serum |
| Drug efficacy | Mouse cells |
| Biological interaction | Yeast supernatant |
| Cardiovascular | Mouse cells |
| Environmental exposure | Zebrafish brain tissue |
Sample Requirement
| Tissue | 50mg/sample |
| Plasma/Serum | 100ul/sample |
| Urine | 100ul/sample |
| Stool | 50mg/sample |
| Cell/Bacteria | 1*10^7/sample |
LC-MS Platform
Qtrap 6500+, Sciex
Applications
◉ Biomarker Screening
◉ Disease Mechanism Research
◉ Drug Development
◉ Therapeutic Evaluation
◉ Gut Microbiota Research
◉ Environmental Toxicology Research
Example Application
Title: The Microbiota-Indole-3-Propionic Acid-Heart Axis Mediates the Protective Effect of Leflunomide Against αPD1-Induced Cardiotoxicity in Mice
Journal: Nature Communications
Impact Factor: 15.7
Key Findings:
Immune checkpoint inhibitors targeting αPD1 are frequently combined with other therapies for cancer treatment; however, this regimen often induces cardiovascular toxicity. This study reveals that Leflunomide (Lef) treatment suppresses αPD1-associated cardiotoxicity without compromising the efficacy of αPD1-mediated immunotherapy.
Specifically, Lef alters the gut microbiota community structure in melanoma mice undergoing αPD1 treatment. Notably, mice receiving fecal microbiota transplantation (FMT) from donors treated with Lef + αPD1 exhibited significantly better cardiac function compared to those receiving transplants from donors treated with αPD1 alone.
Mechanistically, metabolomic analysis identified Indole-3-propionic acid (IPA) as a key protective metabolite. IPA directly binds to the Aryl Hydrocarbon Receptor (AhR), thereby upregulating PI3K expression. This signaling cascade ultimately inhibits cardiomyocyte apoptosis and mitigates cardiac toxicity induced by immune-related injury.
Collectively, these results demonstrate that Leflunomide effectively alleviates αPD1-induced cardiotoxicity in melanoma mice by modulating the Microbiota-IPA-Heart axis.
