High-throughput targeted metabolomics HM700

Service Description

BGI provides one of the world’s most comprehensive panels for targeted metabolomics research. The HM700 panel uses LC-MS/MS technology for high-throughput targeted metabolomics detection. It covers 700 metabolites including 30 metabolite classes addressing key pathophysiological processes relevant in gut microbiota research and cancer research
areas. This enables greater in-depth mining of metabolome information, while providing accurate quantification, excellent reproducibility, and high throughput. Each metabolite is quantitatively determined using the standard curve.

Mass Spectrometry Service Specification

HM700 high-throughput targeted metabolomics services are performed using Waters ACQUITY UPLC and SCIEX QTRAP 6500+.

Sample Preparation and Services

Each metabolite has a corresponding two kinds of standard curves with broad dynamic range for absolute quantification and was corrected using isotope internal standard

3-NPH derivatization significantly achieve ultra-high sensitivity and cross-magnitude detection

Using LC-MS (SCIEX QTRAP 6500+) to increase the scope of detection

Quality Standard

Summary includes all methods and data analysis

Reports provided in Excel or PDF format

Turn Around Time

Typical 5-7 weeks after sample receipt

Research Applications

• Disease biomarkers research
• Pathogenesis and prognosis study on diseases
• Drug target research
• Animal special behavior mechanism and food/medicinal value research
• Gut microbiota research

  • Tryptophan metabolism: Gut – brain axis signaling, immune response, gut barrier, nervous system protection or toxicity, microbiota – host bridge, etc.
  • Tricarboxylic acid cycle: Provide metabolic intermediates, body functions, affect cancer cell metastasis, etc.
  • Glycolysis / gluconeogenesis:Provide metabolic intermediates, body function, tumor occurrence and development, metabolic diseases, etc.
  • Amino acid metabolism:Nutritional assessment, metabolic syndrome, immune regulation, cardiovascular disease progression, tumor suppression, etc.
  • Fatty acid synthesis:Metabolic syndrome, cardiovascular disease, tumor immune regulation, gut health, etc.
  • Phosphopentose pathway:Provide reducing power, prevent membrane lipid peroxidation, provide raw materials for substance synthesis, etc.
  • Linoleic acid metabolism:Prevention of atherosclerosis, cardiovascular and cerebrovascular diseases.
  • Nucleotide metabolism:Active intermediate metabolites, involved in coenzyme composition, signal transduction.
  • Metabolism of cofactors and vitamins:Active intermediate metabolite, participate in coenzyme composition and signal transduction.
  • Nervous system function:GABAergic synapse, dopaminergic synapse, parkinson’s disease, serotonergic synapse.

Specifications

  • Each metabolite has a corresponding two kinds of standard curves with broad dynamic range for absolute quantification and was corrected using isotope internal standard
  • 3-NPH derivatization significantly achieve ultra-high sensitivity and cross-magnitude detection
  • Using LC-MS (SCIEX QTRAP 6500+) to increase the scope of detection
  • Summary includes all methods and data analysis
  • Reports provided in Excel or PDF format
  • Typical 5-7 weeks after sample receipt

Sample Requirements

SAMPLE TYPE RECOMMENDED SAMPLE AMOUNT MINIMUM SAMPLE AMOUNT
Serum, plasma, urine ≥ 100 µL ≥ 50 µL
Animal and clinical tissues, feces and intestinal contents, microorganism ≥ 50 mg ≥ 20 mg
Cell 1×10^7 1×10^5
Culture medium, fermentation medium ≥ 500 µL ≥ 100 µL

 

Data Analysis

  • Data analysis performed with metaX and BGI Genomics library
  • Data quality control
  • Standard curves
  • Quantification result

HM700


Unique DNBSEQ™ Sequencing Technology

BGI’s RNA Sequencing services are typically executed with proprietary DNBSEQ™ sequencing technology platforms, for great sequencing data at some of the lowest costs in the industry. DNBSEQ™ offers advantages in terms of lower amplification error rates and much lower duplication rates. In addition, studies have shown the lower index hopping rate in DNBSEQ™ platforms.