Deep sequencing analysis of microRNA expression in human melanocyte and melanoma cell lines
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- 作者：Nan Dinga ; b ; 1 ; Shaobin Wanga ; 1 ; Qiong Yanga ; b ; 1 ; Yongjun Lia ; Hua Chengc ; Junyun Wanga ; b ; Dong Wangd ; Youhui Denga ; b ; Yadong Yanga ; Songnian Hua ; Hua Zhaod ; luckhua301@163.com" class="auth_mail" title="E-mail the corresponding author ; Xiangdong Fanga ; fangxd@big.ac.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：miRNA ; microRNA ; RNA-seq ; RNA sequencing ; UV rays ; ultraviolet rays ; NGF ; nerve growth factor ; RT-qPCR ; quantitative reverse transcription polymerase chain reaction ; UU ; miRNAs that up-regulated in A375 compared to HEMn-LP and then up-regulated again in A2058 compared to A375 ; UF ; miRNAs that up-regulated in A375 compared to HEMn-LP and then have no significant changes in A2058 compared to A375 ; UD ; miRNAs that up-regulated in A375 compared to HEMn-LP and then down-regulated in A2058 compared to
- 刊名：Gene
- 出版年：2015
- 出版时间：1 November 2015
- 年：2015
- 卷：572
- 期：1
- 页码：135-145
- 全文大小：1930 K
文摘
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We used melanocyte cell line (HEMn-LP) and melanoma cell lines (A375 and A2058) to model malignant progression.
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We integrated miRNA and mRNA sequencing data to characterize the melanoma transcriptome.
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Combined network and pathway analysis identified miRNAs regulating melanoma malignancy.
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Analysis of clinical samples and public datasets validated our bioinformatic data on novel and mature miRNAs.