Phospho-proteomics

Overview

Phosphorylation is one of the most important PTMs in cellular activities. It is a reversible process, regulated by various kinases and phosphatases respectively. Important as it is, phosphorylation takes part in regulating nearly all the cellular activities, including cell proliferation, differentiation, apoptosis, etc.

As most phosphoproteins are present in low abundance, and have wide dynamic range, enrichment procedures before mass spectrometry analysis are usually necessary for detecting phorsphoproteins. MtoZ Biolabs provides various enrichment methods, according to specific experimental objectives. TiO2 and IMAC enrichment can be employed for enriching the total phosphorylation proteome, and phosphor-Ser/Thr or phospho-Tyrosine antibodies can be applied to analyze specific targeted phosphoproteome. Additionally, we also provide iTRAQ/TMT protein labeling service to further increase the accuracy of quantitative phosphoproteomics analysis.

Based on our well-established phosphoproteome analysis platform, MtoZ Biolabs can provide an accurate all-inclusive service package, including protein purification, digestion, protein labeling, phosphoprotein enrichment, MS analysis, and bioinformatics analysis. All you need to do is to tell us your project objective, and send us your cell samples, and we will complete all the following experiments.

Service Workflow

Key Features

• High accuracy: Phosphoproteome enrichment and sensitive MS analysis
• Less intra-sample difference by coupling with iTRAQ/TMT labeling
• Detecting low abundance phosphoproteins
• Detecting wide dynamic range

Sample Requirement

*Note: We will perform testing experiments before we start official experiments. To ensure the most cost-effective and accurate analysis is provided, only qualified samples will proceed to the official analysis.

Reports

• Experiment procedures
• Parameters of liquid chromatography and mass spectrometer
• MS raw data files
• Peptide identifications and intensities
• Protein sequence and phospho-site mapping
• Bioinformatics analysis

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