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RNA测序揭示了可能导致突发性感音神经性听力损失的关键微小RNA。

RNA sequencing uncovers the key microRNAs potentially contributing to sudden sensorineural hearing loss.

作者信息

Li Qi, Peng Xiaohong, Huang Haoran, Li Jingjing, Wang Fan, Wang Jie

机构信息

Department of Otolaryngology-Head and Neck Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, P.R. China.

出版信息

Medicine (Baltimore). 2017 Nov;96(47):e8837. doi: 10.1097/MD.0000000000008837.

Abstract

This study aimed to identify miRNAs that may contribute to the pathogenesis of sudden sensorineural hearing loss (SSNHL) by RNA-seq (RNA-sequencing).RNA was extracted from SSNHL patients and healthy volunteers, respectively. Sequencing was performed on HiSeq4000 platform. After filtering, clean reads were mapped to the human reference genome hg19. Differential expression analysis of miRNAs between the SSNHL samples and the normal samples was performed using DEseq to identify differentially expressed microRNAs (DEMs). The target genes of the DEMs were predicted using the online tool miRWalk, which were then mapped to DAVID (https://david.ncifcrf.gov/) for functional annotation based on GO database and for pathway enrichment analysis based on KEGG. Finally, a miRNA-target-protein-protein interaction (PPIs) network was constructed using the DEMs and their target genes with interaction.Differential expression analysis reveals 24 DEMs between the SSNHL group and control group. A total of 1083 target genes were predicted. GO functional annotation analysis reveals that the target genes in the top 10 terms are mainly related to the development of salivary glands, neurotransmission, dendritic development, and other processes. KEGG pathway enrichment analysis reveals that the target genes were functionally enriched in pathways arachidonic acid metabolism, complement and coagulation cascades, linoleic acid metabolism, and MAPK signaling pathway. In the miRNA-target-PPI network, hsa-miR-34a/548n/15a/143/23a/210/1255a/18b/ /1180/99b had the most target genes; genes YWHAG, GSK3B, CDC42, NR3C1, LCK, UNC119, SIN3A, and NFKB2, interact with most other genes among all the predicted target genes.Hsa-miR-34a/15a/23a/210/18b/548n/143 is likely to have a role in the pathogenesis of SSNHL.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ddc/5708990/565c51bc5115/medi-96-e8837-g006.jpg

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