Abstract: Objective To investigate the differentially expressed genes of urine samples from renal fibrosis model and carry out bioinformatics analysis. Methods Rat renal fibrosis model was constructed with the method of unilateral ureteric obstruction. Urine were collected from the rats with unilateral obstructive nephropathy and sham group, respectively. Total RNA was extracted and sequencing library was established. Differential expression mRNA were analyzed by GO and KEGG pathway. Known pre-miRNA were detected and novel lncRNA family were classified. Results Compared with the sham group urine, 813 up-regulated mRNA/lncRNA and 213 down-regulated mRNA/lncRNA were collected from the urine of renal fibrosis rats. Conclusions There are significant differential expression profile in urine samples between renal fibrosis rat group and the shame group. With high-throughput transcriptome sequencing and bioinformatics analysis, the exciting possibility was raised for better understanding renal pathologies and development of new diagnostic biomarkers.

Key words: renal fibrosis, bioinformatics analysis, transcriptome sequencing, unilateral ureteric obstruction