Glycosylation Quant Proteomics Study of C Vulgaris

Chlorella, as an efficient photosynthetic organism, has received extensive attention due to its potential in bioenergy, health food, and biosynthetic active substances. In recent years, with the advancement of proteomics technology, quantitative proteomics research on Chlorella glycosylation has gradually become an important means for scientists to decipher its biological characteristics and development potential.

 

The glycosylation process in Chlorella is closely related to its energy production, photosynthesis, and environmental adaptability. Glycosylated proteins play a key role in the photosynthetic efficiency of Chlorella, tolerance of adverse environmental conditions (such as salt stress, heavy metal toxicity), and pathogen defense mechanisms. Therefore, in-depth research on glycosylated proteins in Chlorella through quantitative proteomics technology can provide important information for improving its biotechnological application efficiency and environmental adaptability.

 

Glycosylation Quantitative Proteomics Technology

The study of Chlorella glycosylation quantitative proteomics mainly depends on high-resolution mass spectrometry technology, combined with specific glycosylation enzyme digestion and enrichment strategies, to identify and quantify the glycosylation sites and glycan structures of algal proteins. In addition, by using labeled and unlabeled quantitative methods, scientists can track the impact of environmental changes or bioengineering operations on the glycosylation patterns of Chlorella, thereby gaining a deeper understanding of its biological response mechanisms.

 

In-depth research on protein glycosylation modifications in Chlorella aims to reveal its role in Chlorella's biological characteristics and biotechnological applications. MtoZ Biolabs uses the HCD/ETD "double fragmentation mode" of the new generation combined mass spectrometer Orbitrap Fusion to analyze the complete glycopeptides of complex glycoproteins, and then uses Byonic software to analyze the mass spectrometry raw data, to identify N-glycosylation sites and O-glycosylation sites, and to analyze the glycan composition carried by the corresponding sites.

 

Service Advantages

1. High Sensitivity and Specificity

Through the specific enrichment of glycosylation sites and MS sensitive detection, high sensitivity recognition and quantification of trace glycosylated proteins can be achieved.

 

2. Broad Coverage of Glycosylation Types

It can analyze the two major types of glycosylation modifications, N-glycosylation and O-glycosylation, providing a comprehensive glycosylated proteome for research.

 

3. In-Depth Biological Function Analysis

Combining proteomics data and bioinformatics analysis to reveal the function of glycosylation modifications in Chlorella growth and development, stress response, and metabolic regulation.

 

Applications

1. Bioenergy Research

Exploring the impact of glycosylation modifications on the production of biomass energy and photosynthetic efficiency in Chlorella, optimizing the development and utilization of bioenergy.

 

2. Health Food Development

Research on the contribution of specific glycosylated modified proteins to the nutritional value and biological activity of Chlorella, developing high-value health foods.

 

3. Biosynthetic Active Substance Synthesis

By analyzing the regulatory role of glycosylation modification on the synthesis of endogenous bioactive substances in Chlorella, it guides the production of biological drugs and functional components.

 

Using Thermo Fisher's Q ExactiveHF mass spectrometry platform, Orbitrap Fusion mass spectrometry platform, Orbitrap Fusion Lumos mass spectrometry platform combined with Nano-LC, we have launched a service technology package for Chlorella glycosylation quantitative proteomics analysis. You only need to tell us your experimental purpose and send us your samples. We will be responsible for all subsequent matters of the project, including protein extraction, protein enzymatic hydrolysis, enrichment of glycosylated peptide segments, peptide separation, mass spectrometry analysis, mass spectrometry raw data analysis, and bioinformatics analysis.