The detection techniques used in biosensors can be broadly classified into label-based and label-free. TMT is a widely used protein marker quantification technique in the field of biological proteomics research . This technique enables the labeling of peptides by binding to their amino terminal or lysine side chain amino groups. In mass spectrometry analysis, the same peptide from different samples, after labeling, has the same mass-to-charge ratio, and is selected for secondary fragmentation at the same time to produce reporter ions with different masses. The quantification of proteins between different samples is achieved by the abundance of reporter ions. This technique is suitable for the quantitative study of differential proteome in different samples.
Figure 1 TMT (Tandem Mass Tags) quantitative proteomics workflow employed for the identification and quantification of proteins.
Table1 Comparison of isotope-labeled and unlabeled quantification
|Repeatability of samples
|Demand for samples
Advantages of service
- It is suitable for the analysis of various animal and plant tissues, cells, microorganisms and body fluid samples
- Simultaneous quantitative analysis of up to 2-10 samples in one experiment (maximum 8 samples in one experiment with iTRAQ technology)
- High-throughput quantitative data can be obtained in one experiment
- Medicine: disease mechanism research, disease marker discovery, drug target screening
- Plants: stress resistance mechanism, growth and development mechanism, breeding protection research, etc.
- Animal husbandry: quality research, animal nutrition, breed breeding, etc.
- Food environment: storage and processing conditions optimization, quality identification, food nutrition
CD Genomics Data Analysis Pipeline
Bioinformatics Analysis Content
- Quality assessment of mass spectrometry data
- Database identification data statistics
- Results of bioinformatics analysis
Heat map analysis of all samples
Differential protein screening and analysis
Functional annotation of differential proteins
PPI, Protein-Protein Interaction networks analysis
- Protein extract ≥ 100 μg
- Cells ≥ 107
≥ 100 mg (animal tissue)
≥ 10 mg (plant tissue)
- Body fluids
≥ 500 μl (serum, plasma)
≥ 25 mL (urine)
≥ 5 mL (saliva, cerebrospinal fluid, etc.)
How It Works
Even if you don't have data yet, we can help you plan your research, provide expert experimental advice, and can schedule your data generation. If you are interested in our services, please contact us or online inquiry for more detailed information.
- Moulder, R., et al., Analysis of the plasma proteome using iTRAQ and TMT-based Isobaric labeling. Mass Spectrom Rev, 2018. 37(5): p. 583-606.
- Marx, H., et al., A proteomic atlas of the legume Medicago truncatula and its nitrogen-fixing endosymbiont Sinorhizobium meliloti. Nature Biotechnology, 2016. 34(11): p. 1198-1205.