Work

Additional file 3 of Urine proteomics identifies biomarkers for diabetic kidney disease at different stages

Year: 2021

Type: dataset

Abstract: Additional file 3: Table S1. Data information of 239 samples. Sheet 1: a list of 2946 proteins and their relative abundances (iFOT). Sheet 2: Clinical information of the 239 samples. Sheet 3: Biomarkers discovered in this study and those reported by Van et al. (2017) in reference 31.

Source: Figshare

DOI: 10.6084/m9.figshare.17701550

Authors: Fan, Guanjie, Gong, Tongqing, Lin, Yuping, Wang, Jianping, Sun, Lu, Wei, Hua, Yang, Xing, Liu, Zhenjie, Li, Xinliang, Zhao, Ling, Song, Lan, He, Jiali, Liu, Haibo, Li, Xiuming, Liu, Lifeng, Li, Anxiang, Lu, Qiyun, Zou, Dongyin, Wen, Jianxuan, Xia, Yaqing, Wu, Liyan, Huang, Haoyue, Zhang, Yuan, Xie, Wenwen, Huang, Jinzhu, Luo, Lulu, Wu, Lulu, He, Liu, Liang, Qingshun, Chen, Qubo, Chen, Guowei, Bai, Mingze, Qin, Jun, Ni, Xiaotian, Tang, Xianyu, Wang, Yi

Institutions: Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Chongqing University of Posts and Telecommunications, Beijing Proteome Research Center

Language: English

Topic: Chronic Kidney Disease and Diabetes

Subfield: Nephrology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4394074434

Cites: 30

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Related to: 10