title: Automated 20 kpsi RPLC-MS and MS/MS with chromatographic peak capacities of 1000-1500 and capabilities in proteomics and metabolomics.
abstract: Proteomics analysis based-on reversed-phase liquid chromatography (RPLC) is widely practiced; however, variations providing cutting-edge RPLC performance have generally not been adopted even though their benefits are well established. Here, we describe an automated format 20 kpsi RPLC system for proteomics and metabolomics that includes on-line coupling of micro-solid phase extraction for sample loading and allows electrospray ionization emitters to be readily replaced. The system uses 50 microm i.d. x 40-200 cm fused-silica capillaries packed with 1.4-3-microm porous C18-bonded silica particles to obtain chromatographic peak capacities of 1000-1500 for complex peptide and metabolite mixtures. This separation quality provided high-confidence identifications of >12 000 different tryptic peptides from >2000 distinct Shewanella oneidensis proteins (approximately 40% of the proteins predicted for the S. oneidensis proteome) in a single 12-h ion trap tandem mass spectrometry (MS/MS) analysis. The protein identification reproducibility approached 90% between replicate experiments. The average protein MS/MS identification rate exceeded 10 proteins/min, and 1207 proteins were identified in 120 min through assignment of 5944 different peptides. The proteomic analysis dynamic range of the 20 kpsi RPLC-ion trap MS/MS was approximately 10(6) based on analyses of a human blood plasma sample, for which 835 distinct proteins were identified with high confidence in a single 12-h run. A single run of the 20 kpsi RPLC-accurate mass MS detected >5000 different compounds from a metabolomics sample.
authors.affiliation: Biological Science Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99352, USA.
authors.forename: Yufeng
authors.initials: Y
authors.lastname: Shen
authors.forename: Rui
authors.initials: R
authors.lastname: Zhang
authors.forename: Ronald J
authors.initials: RJ
authors.lastname: Moore
authors.forename: Jeongkwon
authors.initials: J
authors.lastname: Kim
authors.forename: Thomas O
authors.initials: TO
authors.lastname: Metz
authors.forename: Kim K
authors.initials: KK
authors.lastname: Hixson
authors.forename: Rui
authors.initials: R
authors.lastname: Zhao
authors.forename: Eric A
authors.initials: EA
authors.lastname: Livesay
authors.forename: Harold R
authors.initials: HR
authors.lastname: Udseth
authors.forename: Richard D
authors.initials: RD
authors.lastname: Smith
mesh_terms: D001331:Automation; D001426:Bacterial Proteins / Q000032:analysis / Q000737:chemistry; D002853:Chromatography, Liquid / Q000379:methods*; D013058:Mass Spectrometry / Q000379:methods*; D008660:Metabolism / Q000235:genetics*; D010455:Peptides / Q000032:analysis* / Q000737:chemistry; D011506:Proteins / Q000032:analysis* / Q000737:chemistry; D040901:Proteomics / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D020592:Shewanella / Q000737:chemistry; D012822:Silicon Dioxide / Q000737:chemistry*; D013997:Time Factors
chemical_list: D001426:Bacterial Proteins; D010455:Peptides; D011506:Proteins; D012822:Silicon Dioxide