Baheti Kalifu1,2, Abulaihaiti Maitiseyiti2, Xiaohu Ge2, Xiong Chen1, Yuan Meng2. 1. Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China. 2. Department of Vascular and Hepatobilliry Surgery, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Abstract
OBJECTIVE: The aim of the present study was to investigate the expression profiles of circular RNAs (circRNAs) in the pericystic tissue of patients with cystic echinococcosis (CE). PATIENTS AND METHODS: CircRNA expression profiles were obtained by circRNA microarray of four matched pairs of pericystic tissues affected by CE and adjacent normal liver tissues. qRT-PCR was used to validate the differential expression of some circRNAs identified by the microarray analysis. The potential functions of the differentially expressed circRNAs in the CE pericystic tissues were predicted by bioinformatic analysis. RESULTS: Compared with the adjacent normal liver tissues, 177 circRNAs were upregulated and 166 circRNAs were downregulated in CE pericystic tissues based on a ≥2.0-fold change. The top 10 upregulated circRNAs were hsa_circRNA_001654,hsa_circRNA_103361,hsa_circRNA_001490,hsa_circRNA_104310,hsa_circRNA_100395,hsa_circRNA_102485,hsa_circRNA_001459,hsa_circRNA_104193,hsa_circRNA_400043, and hsa_circRNA_006773; The top 10 downregulated circRNAs were hsa_circRNA_400633,hsa_circRNA_404974,hsa_circRNA_068482 ,hsa_circRNA_100974,hsa_circRNA_049637,hsa_circRNA_404798,hsa_circRNA_400064,hsa_circRNA_004045,hsa_circRNA_101379, and hsa_circRNA_016771;The circRNA-seq results for 15 selected differentially expressed circRNAs were validated by qRT-PCR. The qRT-PCR analysis showed that hsa_circRNA_006773, hsa_circRNA_049637, hsa_circRNA_104349, and hsa_circRNA_406281 were differentially expressed in CE pericystic tissues when compared with their expression in the adjacent normal liver tissues. Interestingly, 319 miRNAs and 52 mRNAs were predicted to be adsorbed by these four differentially expressed circRNAs. Gene Ontology analysis revealed that these circRNAs may be involved in the response to organic cyclic compounds and endogenous stimuli and in cellular organismal processes. CONCLUSION: Differential expression of circRNAs may be associated with the development and progression of CE, and these circRNAs might be useful as biomarkers for prognosis prediction and as treatment targets.
OBJECTIVE: The aim of the present study was to investigate the expression profiles of circular RNAs (circRNAs) in the pericystic tissue of patients with cystic echinococcosis (CE). PATIENTS AND METHODS: CircRNA expression profiles were obtained by circRNA microarray of four matched pairs of pericystic tissues affected by CE and adjacent normal liver tissues. qRT-PCR was used to validate the differential expression of some circRNAs identified by the microarray analysis. The potential functions of the differentially expressed circRNAs in the CE pericystic tissues were predicted by bioinformatic analysis. RESULTS: Compared with the adjacent normal liver tissues, 177 circRNAs were upregulated and 166 circRNAs were downregulated in CE pericystic tissues based on a ≥2.0-fold change. The top 10 upregulated circRNAs were hsa_circRNA_001654,hsa_circRNA_103361,hsa_circRNA_001490,hsa_circRNA_104310,hsa_circRNA_100395,hsa_circRNA_102485,hsa_circRNA_001459,hsa_circRNA_104193,hsa_circRNA_400043, and hsa_circRNA_006773; The top 10 downregulated circRNAs were hsa_circRNA_400633,hsa_circRNA_404974,hsa_circRNA_068482 ,hsa_circRNA_100974,hsa_circRNA_049637,hsa_circRNA_404798,hsa_circRNA_400064,hsa_circRNA_004045,hsa_circRNA_101379, and hsa_circRNA_016771;The circRNA-seq results for 15 selected differentially expressed circRNAs were validated by qRT-PCR. The qRT-PCR analysis showed that hsa_circRNA_006773, hsa_circRNA_049637, hsa_circRNA_104349, and hsa_circRNA_406281 were differentially expressed in CE pericystic tissues when compared with their expression in the adjacent normal liver tissues. Interestingly, 319 miRNAs and 52 mRNAs were predicted to be adsorbed by these four differentially expressed circRNAs. Gene Ontology analysis revealed that these circRNAs may be involved in the response to organic cyclic compounds and endogenous stimuli and in cellular organismal processes. CONCLUSION: Differential expression of circRNAs may be associated with the development and progression of CE, and these circRNAs might be useful as biomarkers for prognosis prediction and as treatment targets.