Quantitative iTRAQ-Based Proteomic Identification of Candidate Biomarkers for Diabetic Nephropathy in Plasma of Type 1 Diabetic Patients

Keyphrases

• Type 1 Diabetic Patient 100%
• Diabetic Nephropathy 100%
• Proteomic Identification 100%
• ITRAQ Analysis 100%
• Cross-sectional Cohort 66%
• Multiplex Immunoassay 66%
• Ingenuity Pathway Analysis 66%
• Apolipoprotein A2 66%
• ITRAQ 66%
• Diabetes 33%
• Clinical Application 33%
• Microalbuminuria 33%
• Apolipoprotein B (Apo B) 33%
• Apolipoprotein A-I (ApoA-I) 33%
• Normoalbuminuria 33%
• Apolipoprotein E 33%
• Liquid Chromatography-tandem Mass Spectrometry (LC-MS/MS) 33%
• Longitudinal Cohort 33%
• Tandem Mass Spectrometry 33%
• Proteome 33%
• Protein Expression Pattern 33%
• Clinical Proteomics 33%
• Protein Ratio 33%
• Apolipoprotein J 33%
• Isobaric Mass Tags 33%
• Electronic Supplementary Material 33%
• Progression Biomarkers 33%
• Hexapeptide Ligand Library 33%
• Authorized Users 33%

Biochemistry, Genetics and Molecular Biology

• Immunoassay 100%
• Proteomics 100%
• Proteome 50%
• Protein Expression 50%
• Apolipoprotein B 50%
• Tandem Mass Spectrometry 50%
• Liquid Chromatography-Mass Spectrometry 50%
• Derived Protein 50%
• Apolipoprotein A1 50%
• Clusterin 50%
• Apolipoprotein A2 50%

Immunology and Microbiology

• Blood Plasma 100%
• Immunoassay 66%
• Protein Expression 33%
• Tandem Mass Spectrometry 33%
• Liquid Chromatography Mass Spectrometry 33%