Project description:In this study, Pinus yunnanensis was used as the experimental material, with a total of 12 samples assigned into four groups: CK_12, CK_6, T5_12 and T9_6. TMT labeling quantitative proteomics technology was applied, and protein detection was performed using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). Raw mass spectrometry data were processed for quality control, protein identification and quantification. Differentially expressed proteins (DEPs) among groups were screened. Subsequent bioinformatics analyses were conducted, including GO functional enrichment, KEGG metabolic pathway enrichment, protein-protein interaction network analysis, hub node analysis and protein cluster analysis. This work systematically reveals the alterations in protein expression and underlying molecular regulatory mechanisms of Pinus yunnanensis under different treatments. A total of 319 proteins were identified in this experiment, and multiple sets of significantly differentially expressed proteins were obtained via intergroup comparison. The results provide valuable proteomic data for exploring the physiological and molecular mechanisms of Pinus yunnanensis.
