Genomics

Dataset Information

0

Tissue Transcriptome Driven Identification of Epidermal Growth Factor as a Chronic Kidney Disease Biomarker


ABSTRACT: We identified EGF as the top candidates predicting kidney function through an intrarenal transcriptome-driven approach, and demonstrated it is an independent risk predictor of CKD progression and can significantly improve prediction of renal outcome by established clinical parameters in diverse populations with CKD from a wide spectrum of causes and stages

ORGANISM(S): Homo sapiens

PROVIDER: GSE69438 | GEO | 2015/12/14

SECONDARY ACCESSION(S): PRJNA285492

REPOSITORIES: GEO

Similar Datasets

2015-12-14 | E-GEOD-69438 | biostudies-arrayexpress
2015-09-01 | GSE71736 | GEO
2013-01-08 | E-GEOD-28471 | biostudies-arrayexpress
2015-09-01 | E-GEOD-71736 | biostudies-arrayexpress
2013-01-08 | GSE28471 | GEO
2016-06-22 | PXD003326 | Pride
2020-10-19 | PXD019008 | Pride
| S-EPMC4861144 | biostudies-literature
2024-04-01 | GSE252293 | GEO
2007-11-29 | E-GEOD-5282 | biostudies-arrayexpress