Please modifiy the following paragraphPeripheral platelets from16 healthy individuals NC group 32 HCC patients HCC group and 22 mLC patients mLC group were collected and mixed to to conduct large-sca

We collected peripheral platelets from 16 healthy individuals (NC group), 32 HCC patients (HCC group), and 22 mLC patients (mLC group). These platelets were mixed to conduct a large-scale proteomic and site-specific N-glycoproteomic analysis of platelets in the blood of liver cancer patients. To enrich platelet N-glycopeptides, we employed a ZIC-HILIC based method. Complete glycopeptide mass spectrometry analysis was performed using a HCD step energy fragmentation (sceHCD-MS/MS) strategy. Identification and quantification analysis of glycoproteomics data were performed using pGlyco3.0 and pGlycoQuant software, respectively. Additionally, bioinformatics analysis revealed that protein N-glycosylation modifications, particularly high mannose and sialic acid N-glycosylation modifications, better reflected the function and state of platelets in HCC and mLC states compared to platelet protein expression.