Bioinformatic analysis of specific genes in diabetic nephropathy.
Ren Fail
; 37(7): 1219-24, 2015 Aug.
Article
en En
| MEDLINE
| ID: mdl-26156684
ABSTRACT
OBJECTIVE:
We attempt to explore the pathogenesis and specific genes with aberrant expression in diabetic nephropathy (DN).METHODS:
The gene expression profile of GSE1009 was downloaded from Gene Expression Omnibus database, including 3 normal function glomeruli and DN glomeruli from cadaveric donor kidneys. The differentially expressed genes (DEGs) were analyzed and the aberrant gene-related functions were predicted by informatics methods. The protein-protein interaction (PPI) networks for DEGs were constructed and the functional sub-network was screened.RESULTS:
A total of 416 DEGs were found to be differentially expressed in DN samples comparing with normal controls, including 404 up-regulated genes and 12 down-regulated genes. DEGs were involved in the process of combination to saccharides and the decline of tissue repairing ability of the organisms. The genes of VEGFA, ACTG1, HSP90AA1 had high degree in the PPI network. The main biological process of genes in the sub-network was related with cell proliferation and signal transmitting of cell membrane receptor.CONCLUSION:
Significant nodes in PPI network provide new insights to understand the mechanism of DN. VEGFA, ACTG1 and HSP90AA1 may be the potential targets in the DN treatment.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Biología Computacional
/
Análisis de Secuencia por Matrices de Oligonucleótidos
/
Perfilación de la Expresión Génica
/
Nefropatías Diabéticas
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Ren Fail
Asunto de la revista:
NEFROLOGIA
Año:
2015
Tipo del documento:
Article
País de afiliación:
China