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Updated: Jun 7, 2026

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice

Published on: May 2, 2025

Proteomics database in chronic kidney disease.

Tadashi Yamamoto¹

¹Institute of Nephrology, Structural Pathology, Chuo-ku Niigata, Niigata, Japan. tdsymmt@med.niigata-u.ac.jp

Advances in Chronic Kidney Disease

|November 4, 2010

Summary

This summary is machine-generated.

This article reviews databases for human kidney and urine proteomic analysis. Integrating these resources aids in identifying proteins linked to kidney disease development and progression.

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Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice

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Published on: March 4, 2022

Area of Science:

Nephrology
Proteomics
Bioinformatics

Background:

Proteomic analysis of human kidney tissue and urine is crucial for understanding kidney function and disease.
Existing gene-centric and protein-centric databases can be integrated with specific kidney and urine proteomes.
This integration offers new avenues for nephrology research.

Purpose of the Study:

To discuss databases relevant for human kidney and urine proteomic analysis.
To highlight the potential of integrating general and specific proteomic databases.
To identify proteins associated with kidney disease and chronic kidney disease (CKD) progression.

Main Methods:

Review of existing databases for proteomic analysis.
Discussion on the integration of gene-centric, protein-centric, kidney, and urine proteome databases.
Comparative analysis of proteomic data between healthy and diseased populations.

Main Results:

Identification of key proteins involved in renal disease development.
Identification of proteins contributing to the progression of chronic kidney disease (CKD).
Potential discovery of novel biomarker candidates for renal disease and CKD progression.

Conclusions:

Integration of diverse proteomic databases enhances research in nephrology.
Comparative proteomic analysis is a powerful tool for identifying disease-related proteins and biomarkers.
This approach facilitates a deeper understanding of kidney function and disease mechanisms.