When infested by foreign fungi, plants will achieve sensing, transmission, and biological defense against fungal infestation signals by changing the expression pattern of their proteome or the activity of enzymes and other lifestyles. Proteins have specific activity patterns, such as protein structure formation, modification and processing, translocation and localization, and protein-protein interactions, which usually cannot be reflected directly from genomic information. The rapid development and refinement of proteomics technologies provide a range of powerful tools to directly study gene function at the protein level in a high-throughput manner. We can help our customers explore the pathogenesis and metabolic network structure of plant fungi using conventional proteomics research methods.
Lifeasible can use proteomic methods to study the process of fungal infestation of plants, analyze the relevant genes and proteins, and help customers explore the mechanisms of plant-fungal interactions at the molecular level.
Figure 1. Scheme of quantitative proteomic methods. (Gonzalez-Fernandez R, et al., 2012)
The proteomics analysis techniques we can provide are listed below.
Isotope labeling | Two-dimensional polyacrylamide gel electrophoresis |
Mass spectrometry | Peptide sequence labeling |
Protein microarrays | Nuclear magnetic resonance techniques |
Lifeasible works on differential proteome expression during plant-fungal interactions to help customers understand the mechanisms of plant fungal infestation. As your trusted partner, we can meet all your fungal proteomics analysis needs and provide you with efficient and high-quality services. If you want to know the details, please contact us.
Reference
Lifeasible has established a one-stop service platform for plants. In addition to obtaining customized solutions for plant genetic engineering, customers can also conduct follow-up analysis and research on plants through our analysis platform. The analytical services we provide include but are not limited to the following: