Identification of key genes and pathways in diabetic nephropathy by bioinformatics analysis-Reference-Cited by-同舟云学术

Identification of key genes and pathways in diabetic nephropathy by bioinformatics analysis

Published:2019-01-21 Issue:4 Volume:10 Page:972-984
ISSN:2040-1116
Container-title:Journal of Diabetes Investigation
language:en
Short-container-title:J Diabetes Investig

Author:

Geng Xiao‐dong¹²,Wang Wei‐wei³,Feng Zhe¹,Liu Ran¹,Cheng Xiao‐long¹,Shen Wan‐jun¹,Dong Zhe‐yi¹,Cai Guang‐yan¹,Chen Xiang‐mei¹,Hong Quan¹,Wu Di¹

Affiliation:

1. Department of Nephrology Chinese PLA General Hospital Chinese PLA Institute of Nephrology State Key Laboratory of Kidney Diseases National Clinical Research Center for Kidney Diseases Chinese PLA Medical School BeijingChina

2. Kidney Therapeutic Center of Traditional Chinese and Western Medicine Beidaihe Sanatorium of Beijing Military Region QinhuangdaoChina

3. Department of Thoracic Surgery Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine,Endocrinology, Diabetes and Metabolism,Internal Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jdi.12986

Reference24 articles.

1. Molecular Profiling of Diabetic Mouse Kidney Reveals Novel Genes Linked to Glomerular Disease

2. Microarray Analysis of Gene Expression in the Kidneys of New- and Post-Onset Diabetic NOD Mice

3. Transcriptome Analysis of Human Diabetic Kidney Disease