MtoZ Biolabs - Model targeted-metabolomics -Targeted Metabolomics

Targeted metabolomics is a study in which defined metabolites in a sample are identified and quantitatively analyzed. Quantitation and semi-quantitation of defined metabolites are undertaken through the use of internal standard compounds. Targeted metabolomics has an advantage of high specificity and accuracy. Thus, this method has been widely used to analyze and compare multiple targeted metabolites under different physiological states, and is a critical analytical method for discovery of new biomarker in metabolic diseases and study of early diagnosis of diseases.

MtoZ Biolabs offers targeted metabolomics analysis service using an LC-MS-based multiple reaction monitoring (MRM) and GC-MS-based single ion monitoring (SIM) metabolomics platforms, which have characteristics of high accuracy, specificity, and sensitivity. We guarantee accurate analysis of targeted metabolites, even in low abundance. With our optimized sample preparation methods, interference from high-abundance dominant metabolites can be hugely reduced, thus further increase the detecting sensitivity.

1. Data Collection: Targeted Metabolites Standards Are Synthesized and the MRM Transition Values of the Standards Are Measured by Triple Quadrupole MS

2. Quantitative Analysis of Samples Along with the Standards Using Triple Quadrupole MS

3. Statistical Analysis and Bioinformatics Explanation: ANOVA, PCA, KEGG Annotation, etc.

1. Cells and Microbes Samples: Cellular activities should be terminated instantly, whereas maintaining the cell integrity.

2. Animal Body Fluids Samples: Such as urine, blood, saliva, etc. Samples must be added with anticoagulant and preservative reagents right after sample collection, followed by freezing at -80°C.

3. Plant Tissues: 200 mg/sample. Samples should be frozen in liquid nitrogen right after sample collection, and then transferred to -80°C for storage.

4. Serum Samples: Repeated freezing and thawing of sample must be eliminated. Serum samples should be settled down at room temperature for 30 min in the collection tube, and then transferred to centrifuge tube and centrifuged at 8,000 rpm, 5 min. After centrifugation, supernatant is aliquoted to freezing tubes with 500 uL/sample, and stored at -80°C.

5. Urine Samples: 1 mL/sample. Urine samples can be aliquoted to centrifuge tubes with 1 mL each tube, with addition 1/100 (w/v) sodium azide, and stored at -80°C.

6. Faeces Samples: 10 mg/sample.

1. Experiment Procedures

2. Parameters of Liquid Chromatography and Mass Spectrometer

3. MS Raw Data Files

4. MS Data Quality Checks

5. Metabolites Quantification Data

6. Bioinformatics Analysis (PCA, KEGG, etc.)

Metabolomics

Targeted Metabolomics

Untargeted Metabolomics

Lipidomics

Quantitative Proteomics

Label-Free

iTRAQ/TMT

SILAC/Dimethyl

SWATH

MRM

Protein Analysis

Protein Identification

Protein Mass Measurement

PTMs Identification

MtoZ Biolabs is an integrate contract research organization (CRO) providing advanced proteomics, metabolomics, bioinformatics, and biopharmaceutical analysis services to researchers in biochemistry, biotechnology, and biopharmaceutical fields. The name of MtoZ represents “mass to charge ratio” in mass spectrometry analysis, as most of our services are provided based on our well-established mass spectrometry platforms. Our services allow for the rapid and efficient development of research projects, including protein analysis, proteomics, and metabolomics programs.

MtoZ Biolabs is specialized in quantitative multiplexed proteomics and metabolomics applications through the establishment of state-of-the-art mass spectrometry platforms, coupled with high-performance liquid chromatography technology. We are committed to developing efficient, and effective tools for addressing core bioinformatics problems. With a continuing focus on quality, MtoZ Biolabs is well equipped to help you with your needs in proteomics, metabolomics, bioinformatics, and biopharmaceutical research. Our ultimate aim is to provide more rapid, high-throughput, and cost-effective analysis, with exceptional data quality and minimal sample.

Email: [email protected]