Insights into Diabetic Kidney Disease Using Urinary Proteomics and Bioinformatics.
about
Proteome profiling in the aorta and kidney of type 1 diabetic rats.Clinicopathological analysis of biopsy-proven diabetic nephropathy based on the Japanese classification of diabetic nephropathy.Applying proteomics to diagnosis of diabetic kidney disease.Patient Engagement in Kidney Research: Opportunities and Challenges Ahead.The Promise of Systems Biology for Diabetic Kidney Disease.How Omics Data Can Be Used in Nephrology.Role of Kidney Biopsies for Biomarker Discovery in Diabetic Kidney Disease.Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathy.Urinary Proteome Analysis Identified Neprilysin and VCAM as Proteins Involved in Diabetic Nephropathy.
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P2860
Insights into Diabetic Kidney Disease Using Urinary Proteomics and Bioinformatics.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
2017年论文
@zh
2017年论文
@zh-cn
name
Insights into Diabetic Kidney Disease Using Urinary Proteomics and Bioinformatics.
@en
Insights into Diabetic Kidney Disease Using Urinary Proteomics and Bioinformatics.
@nl
type
label
Insights into Diabetic Kidney Disease Using Urinary Proteomics and Bioinformatics.
@en
Insights into Diabetic Kidney Disease Using Urinary Proteomics and Bioinformatics.
@nl
prefLabel
Insights into Diabetic Kidney Disease Using Urinary Proteomics and Bioinformatics.
@en
Insights into Diabetic Kidney Disease Using Urinary Proteomics and Bioinformatics.
@nl
P2860
P356
P1476
Insights into Diabetic Kidney Disease Using Urinary Proteomics and Bioinformatics.
@en
P2093
James W Scholey
Julie A D Van
P2860
P304
P356
10.1681/ASN.2016091018
P577
2017-02-03T00:00:00Z