摘要
目的研究大鼠肾脏纤维化(RF)模型尿液中差异表达的基因,并对其进行生物信息学分析。方法将大鼠分为对照组和纤维化模型组,单侧输尿管结扎术建立大鼠肾脏纤维化模型,收集尿液。提取总RNA,构建测序文库并进行转录组测序。对差异表达的mRNA进行了GO分析和KEGG分析,并对miRNA的前体和lncRNA的家族进行预测和分类。结果肾脏纤维化模型组的尿液和对照组相比,得到813条表达上调转录本数据以及213条表达下调的转录本数据。结论利用转录组高通量测序结合相关生物信息学分析,可为肾脏纤维化诊断靶点提供新的可能。
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.
出处
《基础医学与临床》
CSCD
2017年第4期500-505,共6页
Basic and Clinical Medicine
基金
国家重点基础研究发展计划(2013CB530800)
关键词
肾脏纤维化
生物信息学分析
转录组测序
单侧输尿管结扎
renal fibrosis
bioinformatics analysis
transcriptome sequencing
unilateral ureteric obstruction
