Additional file 1 of Urine proteomics identifies biomarkers for diabetic kidney disease at different stages

Autor: 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
Rok vydání: 2021
DOI: 10.6084/m9.figshare.17701544.v1
Popis: Additional file 1: Figure S1. A brief summary of proteomics analysis of human urine proteome. a. Pearson correlation coefficients of representative LC-MS/MS analyses of 293T cells as quality control samples. b. The dynamic range of urine protein abundance of high analytical confidence proteins. c. Number of GPs quantified in each urinary sample. d. Scatter plots showing the negative correlation between the three significant urinary proteins (RBP4, C7, ALB) and glomerular filtration rate.
Databáze: OpenAIRE