Plant Proteomics Service

Plant Proteomics is a branch of proteomics aimed at studying the composition, structure, function, interactions, and regulatory mechanisms of plant proteins. Its research methods are similar to those in proteomics with core techniques used in protein separation, purification, identification, functional annotation, interaction studies, and expression regulation studies. Research in plant proteomics can not only provide a material basis for understanding the law of plant growth, development, and stress adaptation but also offer theoretical foundation and solution for improving crop resistance and quality. By comparing the proteome of plants growing in different conditions, different plant varieties, and individuals under normal and stressed conditions, we can identify specific protein that can serve as targets for genetic improvement and biotechnological strategies or provide molecular markers for the impact of environmental changes on plant growth.

 

Services at MtoZ Biolabs

1. Protein Identification and Functional Annotation

Using high-resolution mass spectrometry (Thermo Fisher's Q Exactive and Orbitrap mass spectrometers) combined with bioinformatics databases and software, we identify detected proteins and provide detailed functional annotation.

 

2. Quantitative Proteomics Analysis

We offer labeled (iTRAQ, TMT, SILAC) and label-free methods for quantitative protein analysis.

 

3. Protein-Protein Interaction Studies

Techniques like immunoprecipitation (IP), Co-immunoprecipitation (Co-IP), and affinity purification mass spectrometry (AP-MS) are used to study the interactions between proteins of interest and other proteins. Subsequently, LC-MS/MS is used to identify proteins/protein mixtures in purified samples such as IP, Co-IP, and GST fusion protein pull-down samples.

 

4. Protein Post-Translational Modifications (PTMs) Analysis

We offer identification and quantification of PTMs like phosphorylation, glycosylation, ubiquitination, acetylation, methylation, disulfide bonds, nitrosylation, and modification sites.

 

5. Differential Protein Expression Analysis

By comparing proteomic data of plants under different treatment conditions, we perform statistical analysis of differential protein expression (Venn diagrams, volcano plots) and clustering analysis (hierarchical clustering analysis, K-means clustering analysis).

 

Applications

1. Gene Research

Analyzing differential expression of plant proteins provides information in gene function prediction, gene regulatory network research, and plant physiological ecology.

 

2. Agricultural Improvement

Studying protein components and metabolic pathways of plant products can offer references for agricultural biotechnology.

 

3. Ecological Research

Understanding the biological mechanisms behind plant adaptive changes can aid ecological protection and biodiversity research.

 

4. Plant Disease Diagnosis

Researching the molecular mechanisms of diseases can provide important information for disease diagnosis and prevention.

 

Sample Submission Requirements

1. Fresh Tissues: Leaves, roots, stems, flowers, seeds, etc.; at least 100 mg

2. Dried Tissues: Plant tissues processed by freeze-drying or drying; at least 50 mg

3. Cells: Plant cell suspension or cell lysate; at least 1x10⁷ cells

4. Protein Extracts: Protein samples extracted, at least 100 μg with their concentration not less than 1 μg/μL

 

Deliverables

1. Experimental Procedures

2. Relevant Mass Spectrometry Parameters

3. Detailed Information on Plant Proteomics Analysis

4. Mass Spectrometry Images

5. Raw Data