A systematic integrative approach reveals novel microRNAs in diabetic nephropathy.

ABSTRACT:

Background

Despite huge efforts, the underlying molecular mechanisms of diabetic nephropathy (DN) are yet elusive, and holistic views have rarely been generated. Considering the complexity of DN pathogenesis, the integration of datasets from different molecular types to construct a multilayer map of DN can provide a comprehensive insight toward the disease mechanisms and also can generate new knowledge. Here, we have re-analyzed two mRNA microarray datasets related to glomerular and tubulointerstitial compartments of human diabetic kidneys.

Materials and methods

The quality of the datasets was confirmed by unsupervised hierarchical clustering and principal component analysis. For each dataset, differentially expressed (DE) genes were identified, and transcription factors (TF

SUBMITTER: Kiyanpour F 

PROVIDER: S-EPMC7003547 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature