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Identification of potential key protein interaction networks of BK virus
nephropathy in patients receiving kidney transplantation
#MMPMID29567951
Jia L
; Fu W
; Jia R
; Wu L
; Li X
; Jia Q
; Zhang H
Sci Rep
2018[Mar]; 8
(1
): 5017
PMID29567951
show ga
We aim to identify the key protein interaction networks and implicated pathways
of BK virus nephropathy (BKVN) via bioinformatic methods. The microarray data
GSE75693 of 30 patients with stable kidney transplantation and 15 with BKVN were
downloaded and analyzed by using the limma package to identify differentially
expressed genes (DEGs). Then the gene ontology (GO) functional enrichment
analysis and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis
were done to investigate the molecular function (MF), biological process (BP),
cellular components (CC) and pathways of DEGs. Finally, protein-protein
interactions (PPIs) were constructed, and the hub proteins were identified. As a
result, 249 up-regulated genes and 253 down-regulated genes of BKVN patients were
selected based on criteria of P?>?0.01 and fold change?>2.0. GO and KEGG showed
that DEGs were mainly located in nucleus and cytosol, and were implicated in the
immune responses. In the PPI analysis, 26 up-regulated and 8 down-regulated
proteins composed the pivotal interaction network. CXCL10, EGF and STAT1 were
identified as hub proteins in BKVN. In conclusion, CXCL10, EGF and STAT1 may
induce kidney injuries by promoting inflammation and prohibiting reparation of
tissue damage in BKVN.
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