Direct Data-independent acquisition proteome of the intestinal regenerative tissue of sea cucumbers

This project uses DIA quantitative proteomics technology to conduct research, and a total of 8950 proteins were identified in 5 samples, of which 8950 were quantified. Screen for significantly differentially expressed proteins based on the standard of expression fold change of 2.0 times or more (upregulation greater than 2.0 times or downregulation less than 0.50 times) and P value<0.05. Based on the above data, Annotate the identified proteins in common functional databases, including COG database, GO database, and KEGG database; Next, quantitative analysis of proteins will be conducted, including overall differential analysis of identified proteins, screening of differential proteins, and clustering analysis of expression patterns; Finally, a series of differential protein functional analyses were conducted on the selected differential proteins, including GO, KEGG functional enrichment analysis, and interaction network analysis.