Protein Qualitative/Quantitative Analysis

In the field of drug development, scientists have been dedicated to exploring innovative therapies for specific diseases. Differential protein analysis has become a key tool for gaining insight into disease molecular mechanisms, identifying effective therapeutic targets, and providing critical clues and scientific evidence for the discovery and development of novel drugs. This technology empowers researchers to systematically detect changes in protein expression, discover disease-related target proteins, and guide the design of new drug development and personalized treatment strategies.

With the development and application of cutting-edge technologies such as high-throughput sequencing and mass spectrometry, the accuracy and coverage of differential protein analysis have significantly improved. This advancement enables researchers to delve deeply into and meticulously evaluate potential drug targets in disease progression based on large-scale data. Therefore, in modern biomedical research, differential protein analysis is not only a key approach to unraveling the complex biological processes of diseases but also an essential engine driving the progress of new drug development.

Technical Platform

Chomix offers standardized sample processing protocols, protein qualitative and quantitative identification, and professional data analysis strategies.

① Label-Free Quantitation (LFQ)

Technique: Protein quantification by spectral count or XIC intensity, MS1-level quantification

Advantages: No isotope labeling, high throughput

Sample requirements: Cell, tissue, blood samples etc.

② Stable Isotope Labeling by Reductive Dimethylation (ReDi)

Technology: Either regular (light) or deuterated (heavy) forms of formaldehyde and sodium cyanoborohydride are used to add two methyl groups to the peptide N terminus and the side chain of lysine residues. MS1-level quantification

Advantages: Duplex and triplex chemical labelling, low cost, fast reaction rate, high reproducibility, no limitation of samples;

Sample requirements: Cell, tissue, blood samples etc.

③ Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC)

Technology: Cell culture in medium containing stable isotope labeling essential amino acids for proteome quantification in different samples; MS1-level quantification

Advantages: Duplex metabolic labeling, less system error;

Sample requirements: Living cell samples.

④ Tandem Mass Tags (TMT/IBT)

Technology: Relative quantification of peptide intensity by its reporter group in different samples; MS2-level quantification

Advantages: Up to 16 samples quantification, accurate quantification;

Sample requirements: Cell, tissue, blood samples etc.

Our Advantages

1. Professional Excellence: Our team boasts extensive experience and publications in top journals, offering industry-leading technical services.
2. Efficient Solutions: We employ reliable methods to drive projects forward swiftly, providing worry-free solutions.
3. Rigorous Quality Management: Adhering to ISO 9001 standards, our mature quality management system ensures the authenticity and reliability of our reports.
4. Systematic Project Management: From consultation to report delivery, we provide timely progress updates, ensuring customer satisfaction and efficient project execution.
5. Cutting-Edge Equipment: Equipped with advanced mass spectrometers like the Thermo Fisher Orbitrap Exploris 480 and Bruker timsTOF, we facilitate groundbreaking research.

Our Service

Project	Qualitative/Quantitative Proteomics Analysis
Sample	Tissue, cell precipitate, lysate, purified protein
Hardware Platform	VanquishNeo UPLC coupled with Orbitrap Exploris 480 mass spectrometer (Thermo Fisher Scientific); EASY-nLC1200 UPLC coupled with Q Exactive HF-X mass spectrometer (Thermo Fisher Scientific)
Project Duration	4-8 weeks
Deliverables	Project Report (including lists of qualitatively/quantitatively identified proteins, bioinformatics analysis, quality control analysis, etc.)
Price	Click to consult

Case Study

In order to compare the changes at the whole proteome level between the drug-treated group and the control group cell samples, aiming to reveal the molecular mechanisms associated with the drug phenotype, we applied a quantitative proteomics approach based on TMT technology to three biological replicates of each group. This enabled us to accurately identify and quantify differentially expressed proteins.