Relative Protein Quantitative Service, MS Based
MtoZ Biolabs provides MS-based Relative Protein Quantification Service with label-based and label-free workflows, using DDA or DIA acquisition to compare protein abundance across samples and experimental groups.
Quantification strategies are selected according to sample number, study design, and precision needs, from multiplexed labeling to flexible label-free workflows for larger and longitudinal studies.
- Label-based and label-free quantification options
- High-resolution Orbitrap platforms for proteome quantification
- DDA and DIA acquisition matched to study design
- Flexible workflows for studies with more than 20 samples
Relative quantification of proteins is a MS-based technique that compares the relative proteins expression levels between different samples, analyzing differential protein expression under different conditions and revealing the role of proteins in biological processes. Commonly used methods include stable isotope labeling by amino acids in cell culture (SILAC), isobaric tags for relative and absolute quantification (iTRAQ), and tandem mass tags (TMT). They achieve relative quantification by enzymatic digestion, isotopic labeling, separation, and mass spectrometric analysis.
MtoZ Biolabs offers protein relative quantification services based on Thermo Fisher's Orbitrap Exploris 240 mass spectrometry platform combined with nanoLC-MS/MS nanoscale chromatography, using multiple relative quantification techniques such as isotopic labeling (e.g., SILAC, TMT, iTRAQ) and label-free methods (e.g., SWATH-MS, DDA). We precisely compare protein expression levels across different experimental conditions or biological samples, identify protein-level changes, and help clients rapidly and accurately assess differences in protein expression levels to reveal the molecular mechanisms of biological processes, disease onset, and drug therapy.
Analysis Workflow
1. Sample Preparation
Proteins extraction from different biological samples using suitable methods according to project requirements, followed by purification, concentration, and quality assessment to ensure the sample meets experimental requirements.
2. Protein Digestion
Protein digestion by various enzymes into peptide for subsequent mass spectrometry analysis.
3. Isotopic Labeling
Peptide labeling by isotopic labeling methods such as SILAC, iTRAQ, or TMT.
4. Peptide Separation
Peptide separation by HPLC (e.g., RP-HPLC).
5. Mass Spectrometric Analysis
Analysis and detection of peptides by high-resolution mass spectrometry to obtain data on mass, m/z and other information.
6. Data Analysis
Analysis of mass spectrometry data by specific bioinformatics software to identify and relatively quantify proteins to find significantly different proteins by comparing differential protein expression under different conditions.
Service Advantages
1. High-Throughput Data Acquisition
Advanced Orbitrap Exploris 240 mass spectrometer with high-sensitivity, high-resolution protein detection to quickly acquire large amounts of protein data.
2. Accurate Quantitative Analysis
Efficient data processing workflows and software for accurate and reliable protein quantification.
3. High Sensitivity
Ability to detect low-abundance proteins with high sensitivity.
4. Broad Applicability
Suit for a wide range of biological samples, including cells, tissues, and body fluids to study various biological processes.
5. Customized Analytical Solutions
One-stop services including experimental design, sample processing and data analysis according to project requirements.
Applications
1. Gene Expression Regulation Studies
Compare protein expression differences under different conditions to study the effects of post-transcriptional regulation and post-translational modifications on gene expression.
2. Signal Transduction Pathway Studies
Use quantitative analysis of differential protein expression of signal molecules to reveal activation and inhibition mechanisms of signaling pathways.
3. Comparative Proteomics Studies
Compare protein expression differences among species or subtypes to explore genetic variation, evolutionary relationships, and functional differences in species.
4. Protein Interaction Network Studies
Reveal protein interactions and construct protein interaction networks by quantifying protein expression differences and correlations.
5. Disease Diagnosis and Molecular Mechanism Research
Identify potential disease-related biomarkers and delve into the molecular mechanisms of disease onset by comparing protein expression differences between normal and pathological samples.
Sample Submission Requirements
Service at MtoZ Biolabs
1. Experimental Procedures
2. Relevant Mass Spectrometric Parameters
3. Detailed Information on Protein Relative Quantification
4. Mass Spectrometry Images
5. Raw Data
MtoZ Biolabs, an integrated chromatography and mass spectrometry (MS) services provider.
Related Services
Label-Free Quantitative Proteomics Service, MS Based
