Optimizing performance of glycopeptide capture for plasma proteomics
about
Protein-centric N-glycoproteomics analysis of membrane and plasma membrane proteinsIndex-ion triggered MS2 ion quantification: a novel proteomics approach for reproducible detection and quantification of targeted proteins in complex mixtures.Novel nanomaterials used for sample preparation for protein analysis.Preparation of hydrazine functionalized polymer brushes hybrid magnetic nanoparticles for highly specific enrichment of glycopeptides.Simultaneous Enrichment of Plasma Soluble and Extracellular Vesicular Glycoproteins Using Prolonged Ultracentrifugation-Electrostatic Repulsion-hydrophilic Interaction Chromatography (PUC-ERLIC) Approach.Quantification of the N-glycosylated secretome by super-SILAC during breast cancer progression and in human blood samples.Quantitative Profiling of Post-translational Modifications by Immunoaffinity Enrichment and LC-MS/MS in Cancer Serum without Immunodepletion.Contributions of immunoaffinity chromatography to deep proteome profiling of human biofluidsUsing a cell line breast cancer progression system to identify biomarker candidates.Glycoprotein profiles of human breast cells demonstrate a clear clustering of normal/benign versus malignant cell lines and basal versus luminal cell lines.Recent advances in the MS analysis of glycoproteins: Theoretical considerations.Magnetic nanoparticles-based digestion and enrichment methods in proteomics analysis.Glycopeptide enrichment and separation for protein glycosylation analysis.Glycoproteomic strategies: From discovery to clinical application of cancer carbohydrate biomarkers.Interaction modes and approaches to glycopeptide and glycoprotein enrichment.Mass spectrometry-based N-glycoproteomics for cancer biomarker discovery.Quantitative mass spectrometric analysis of glycoproteins combined with enrichment methods.New Opportunities and Challenges of Smart Polymers in Post-Translational Modification Proteomics.A universal chemical enrichment method for mapping the yeast N-glycoproteome by mass spectrometry (MS)In-depth characterization of the cerebrospinal fluid (CSF) proteome displayed through the CSF proteome resource (CSF-PR).Bottom-Up Mass Spectrometry-Based Proteomics as an Investigative Analytical Tool for Discovery and Quantification of Proteins in Biological Samples.LC-MS/MS quantitation of esophagus disease blood serum glycoproteins by enrichment with hydrazide chemistry and lectin affinity chromatography.Cerebrospinal fluid proteome comparison between multiple sclerosis patients and controls.Simultaneous Enrichment of Plasma Extracellular Vesicles and Glycoproteome for Studying Disease Biomarkers.Identification of Post-Translational Modifications from Serum/Plasma by Immunoaffinity Enrichment and LC-MS/MS Analysis Without Depletion of Abundant Proteins.
P2860
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P2860
Optimizing performance of glycopeptide capture for plasma proteomics
description
2010 nî lūn-bûn
@nan
2010 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Optimizing performance of glycopeptide capture for plasma proteomics
@ast
Optimizing performance of glycopeptide capture for plasma proteomics
@en
type
label
Optimizing performance of glycopeptide capture for plasma proteomics
@ast
Optimizing performance of glycopeptide capture for plasma proteomics
@en
prefLabel
Optimizing performance of glycopeptide capture for plasma proteomics
@ast
Optimizing performance of glycopeptide capture for plasma proteomics
@en
P2093
P2860
P356
P1476
Optimizing performance of glycopeptide capture for plasma proteomics
@en
P2093
Frode S Berven
Karl R Clauser
Rushdy Ahmad
Steven A Carr
P2860
P304
P356
10.1021/PR900845M
P577
2010-04-01T00:00:00Z