Mass spectrometry-based proteomic and glycoproteomic drafts of fifteen human body fluids
Cai, F.; Ling, Y.; Zheng, Q.; Li, L.; Su, T.; Shen, J.; Wu, Z.; Gong, M.; Yang, H.; Zhao, W.; Zhang, Y.
Show abstract
The study of proteins and N-glycosylation in human body fluids (HBFs) is crucial for understanding both physiological and pathological states, offering valuable insights for disease diagnostics and monitoring. In this study, we present a comprehensive proteomics and glycoproteomics dataset featuring 15 types of precious HBFs (plasma (P), urine (U), cerebrospinal fluid (CSF), pleural fluid (PF), ascitic fluid (AF), synovial fluid (SF), pericardial fluid (PCF), peritoneal dialysis effluent (PDE), bile (B), gastric juice (GJ), seminal plasma (SP), saliva (SA), pancreatic juice (PJ), sweat (SW), and tear (T)). We also provide detailed protocols for protein processing specific to each type of HBF. The resulting peptides and enriched intact N-glycopeptides were analyzed via liquid chromatography-tandem mass spectrometry (LC-MS/MS) in data independent acquisition (DIA) and combined electron transfer/higher-energy collisional dissociation and stepped collision energy/higher-energy collisional dissociation (EThcD-sceHCD) mode, respectively. The resulting spectra and searched files have been uploaded to the online repository iProX (www.iprox.cn) and made easily accessible (PXD068799) to facilitate further research into HBF proteomics and glycoproteomics.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Nebulized and intravenous enzyme replacement therapy in mice with mucopolysaccharidosis type II 96%
- Concurrent lipidomics and proteomics on malignant plasma cells from multiple myeloma patients: Probing the lipid metabolome 95%
- Targeted proteomics as a tool to detect SARS-CoV-2 proteins in clinical specimens. 94%
Similar papers in this journal
Similar papers in this journal
- Characterization of cytokine treatment on human pancreatic islets by top-down proteomics 94%
- Parallel Analyses by Mass Spectrometry (MS) and Reverse Phase Protein Array (RPPA) Reveal Complementary Proteomic Profiles in Triple-Negative Breast Cancer (TNBC) Patient Tissues and Cell Cultures 94%
- Molecular characterization of triple negative breast cancer formaldehyde-fixed paraffin-embedded samples by data independent acquisition proteomics 94%
Similar papers in this journal
- Identification of plasma proteins associated with oesophageal cancer chemotherapeutic treatment outcomes using SWATH-MS 96%
- Proteomics study of colorectal cancer and adenomatous polyps identifies TFR1, SAHH, and HV307 as potential biomarkers for screening 95%
- SHIP1 modulation and proteome characterization of microglia 94%