<HashMap><database>iProX</database><scores/><additional><omics_type>Proteomics</omics_type><submitter>Xiuling Li</submitter><species>Homo Sapiens</species><species>Mus Musculus</species><full_dataset_link>http://www.iprox.org/page/project.html?id=IPX0009561000</full_dataset_link><submitter_email>lixiuling@dicp.ac.cn</submitter_email><submitter_affiliation>Dalian Institute of Chemical Physics</submitter_affiliation><sample_protocol></sample_protocol><repository>iProX</repository><data_protocol></data_protocol><pubmed_abstract>Serial multi-omic analysis of proteome, phosphoproteome, and glycoproteome is pivotal for elucidating drug mechanisms, discovering biomarkers, and identifying therapeutic targets. However, simultaneous multi-level post-translational modifications (PTMs) analysis via parallel processing is hampered by laborious, time-consuming procedures and inconsistent reproducibility. We present an integrated Multi-level PTMs-Proteomic Enrichment platform (MuPPE), enabling sequential glycoproteome, phosphoproteome, and proteome analysis from single biological samples. It combines protein aggregation capture with on-bead digestion and tandem enrichment, achieving superior reproducibility (CV 12.3% vs 17.6% conventional methods) while reducing processing time by 87.5% (4 hours vs 32 hours). MuPPE also enhances coverage, identifying more serum glycopeptides and brain phosphopeptides than other platforms. Applied to aging mouse cohorts, the platform uncovers tissue-specific PTMs remodeling and brain barrier dysfunction. For arsenic mechanisms of action, MuPPE reveals drug-induced PTMs crosstalk between glycosylation and phosphorylation-driven pathway regulation. MuPPE offers a transformative tool for advancing multi-omics insights across precision medicine and disease research.</pubmed_abstract><pubmed_title>A versatile platform for sequential glyco-, phospho-, and proteomics with multi-PTMs integration.</pubmed_title><pubmed_authors>Dong Xuefang X, Xiong Fangfang F, Du Guangzhu G, Yang Yunfei Y, Chen Cheng C, Cui Yun Y, Ding Xinlian X, Li Xiuling X, Shen Yidong Y, Liang Xinmiao X</pubmed_authors></additional><is_claimable>false</is_claimable><name>Mass spectrometry data for proteomics and PTM proteomics</name><description>Mass spectrometry data for proteomics and PTM proteomics</description><dates><publication>Sat Jan 11 00:00:00 GMT 2025</publication></dates><accession>PXD059701</accession><cross_references><TAXONOMY>10090</TAXONOMY><TAXONOMY>9606</TAXONOMY><pubmed>41605919</pubmed></cross_references></HashMap>