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Identification of differentially expressed miRNAs on normal cell, fatty liver cell and processed cell by monoammonium glycyrrhizinate from cattle (Bos indicus) by deep sequencing approach
Animal Biotechnology ( IF 3.7 ) Pub Date : 2020-03-26 , DOI: 10.1080/10495398.2020.1744617
Yong Huang 1 , Cai Zhang 1 , Xihong Sun 1
Affiliation  

Abstract

Cattle fatty liver has caused mass damage in milk production during the past few years. In our study, to identify different miRNAs involved in cell physiological regulation in fatty liver, we performed miRNA deep sequencing on a normal liver cell (S01), fatty liver cell (S02) and processed cell by monoammonium glycyrrhizinate (S03). As a result, a total of 15,277,462, 14,190,360 and 13,771,060 raw reads representing 13,904,074, 12,784,128 and 11,017,604 clean reads per library were obtained separately. Through bioinformatics analysis, a total of 511 known miRNAs were identified when they were aligned with the known animal miRNAs, and 197 novel miRNAs were predicted using mirDeep2 software. A total of 511 miRNAs including 101 known and 51 novel miRNAs were expressed significantly different. Additionally, expression levels of eight randomly selected miRNAs were confirmed using the stem-loop qPCR, and their expression profiles were consistent with the deep sequencing results. For better understanding the functions of miRNAs, a total of 14,231 targets were predicted. These predicted target genes were further analyzed by function annotation and enrichment pathways, the results showed that these targets of the identified miRNAs are involved in a broad range of physiological functions.



中文翻译:

牛(Bos indicus)甘草酸一铵通过深度测序方法鉴定正常细胞、脂肪肝细胞和加工细胞上差异表达的miRNA

摘要

在过去的几年中,牛脂肪肝对牛奶生产造成了大规模损害。在我们的研究中,为了鉴定参与脂肪肝细胞生理调节的不同 miRNA,我们对正常肝细胞 (S01)、脂肪肝细胞 (S02) 和经甘草酸单铵处理的细胞 (S03) 进行了 miRNA 深度测序。结果,分别获得了 15,277,462、14,190,360 和 13,771,060 个原始读取,分别代表每个文库的 13,904,074、12,784,128 和 11,017,604 个干净读取。通过生物信息学分析,共鉴定出511个已知miRNAs与已知动物miRNAs进行比对,利用mirDeep2软件预测出197个新miRNAs。共有 511 种 miRNA,包括 101 种已知和 51 种新型 miRNA,其表达显着不同。此外,使用茎环 qPCR 确认了 8 个随机选择的 miRNA 的表达水平,其表达谱与深度测序结果一致。为了更好地理解 miRNA 的功能,总共预测了 14,231 个目标。通过功能注释和富集途径对这些预测的靶基因进行了进一步分析,结果表明所鉴定的miRNA的这些靶标参与了广泛的生理功能。

更新日期:2020-03-26
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