MicroRNA heterogeneity in endometrial cancer cell lines revealed by deep sequencing

被引:12
|
作者
Lu, Jiafeng [1 ]
Zhang, Xueli [2 ]
Zhang, Rong [3 ]
Ge, Qinyu [1 ,4 ]
机构
[1] Southeast Univ, State Key Lab Bioelect, Nanjing 210096, Jiangsu, Peoples R China
[2] Fengxian Cent Hosp, Dept Surg, Shanghai 201400, Peoples R China
[3] Fengxian Cent Hosp, Dept Obstet & Gynecol, Shanghai 201400, Peoples R China
[4] Southeast Univ, Res Ctr Learning Sci, Nanjing 210096, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
deep sequencing; endometrial cancer; HEC-1B; Ishikawa; microRNA; MIR-200; FAMILY; ADENOCARCINOMA; EXPRESSION; MIR-17-92; CLUSTER; PROFILE; ZEB1;
D O I
10.3892/ol.2015.3776
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The aim of the present study was to obtain comprehensive microRNA (miRNA) profiles of type I [Ishikawa (ISK)] and type II (HEC-1B) human endometrial adenocarcinoma cell lines, utilizing the latest high-throughput sequencing techniques. RNA was extracted from ISK and HEC-1B cell lines. Sequencing results were obtained from a next-generation sequencing platform. Using the miRBase database and a series of software pipelines, miRNA expression was analyzed in the ISK and HEC-1B cell lines. It was revealed that the type and quantity of miRNAs in the two cell types varied significantly; 34 miRNAs were upregulated and 105 miRNAs were downregulated in HEC-1B cells compared with those of ISK cells. Furthermore, it was observed that the expression pattern of the miRNA (miR)-17-92 cluster differed between the two cell types, and the expression levels of the miR-200 family in ISK cells were markedly increased compared with those of HEC-1B cells. The present study therefore identified potential novel biomarkers, which may be useful in the differentiation between type I and type II endometrial cancer, and also revealed miRNA alterations that may be associated with endometrial cancer and its underlying pathogenic mechanisms.
引用
收藏
页码:3457 / 3465
页数:9
相关论文
共 50 条
  • [11] MicroRNA-106b modulates epithelial-mesenchymal transition by targeting TWIST1 in invasive endometrial cancer cell lines
    Dong, Peixin
    Kaneuchi, Masanori
    Watari, Hidemichi
    Sudo, Satoko
    Sakuragi, Noriaki
    MOLECULAR CARCINOGENESIS, 2014, 53 (05) : 349 - 359
  • [12] Endometrial cancer and its cell lines
    Kristijan Skok
    Uroš Maver
    Lidija Gradišnik
    Nejc Kozar
    Iztok Takač
    Darja Arko
    Molecular Biology Reports, 2020, 47 : 1399 - 1411
  • [13] Developmental Heterogeneity of Microglia and Brain Myeloid Cells Revealed by Deep Single-Cell RNA Sequencing
    Li, Qingyun
    Cheng, Zuolin
    Zhou, Lu
    Darmanis, Spyros
    Neff, Norma F.
    Okamoto, Jennifer
    Gulati, Gunsagar
    Bennett, Mariko L.
    Sun, Lu O.
    Clarke, Laura E.
    Marschallinger, Julia
    Yu, Guoqiang
    Quake, Stephen R.
    Wyss-Coray, Tony
    Barres, Ben A.
    NEURON, 2019, 101 (02) : 207 - +
  • [14] MicroRNA and endometrial cancer: Roles of small RNAs in human tumors and clinical applications
    Yanokura, Megumi
    Banno, Kouji
    Kobayashi, Yusuke
    Kisu, Iori
    Ueki, Arisa
    Ono, Asuka
    Masuda, Kennta
    Nomura, Hiroyuki
    Hirasawa, Akira
    Susumu, Nobuyuki
    Aoki, Daisuke
    ONCOLOGY LETTERS, 2010, 1 (06) : 935 - 940
  • [15] microRNA 31 functions as an endometrial cancer oncogene by suppressing Hippo tumor suppressor pathway
    Mitamura, Takashi
    Watari, Hidemichi
    Wang, Lei
    Kanno, Hiromi
    Kitagawa, Makiko
    Hassan, Mohamed Kamel
    Kimura, Taichi
    Tanino, Mishie
    Nishihara, Hiroshi
    Tanaka, Shinya
    Sakuragi, Noriaki
    MOLECULAR CANCER, 2014, 13
  • [16] Differential Expression Profiles of the Transcriptome in Breast Cancer Cell Lines Revealed by Next Generation Sequencing
    Shi, Yu
    Ye, Peng
    Long, Xinghua
    CELLULAR PHYSIOLOGY AND BIOCHEMISTRY, 2017, 44 (02) : 804 - 816
  • [17] Integrated analysis of microRNA regulatory network in nasopharyngeal carcinoma with deep sequencing
    Wang, Fan
    Lu, Juan
    Peng, Xiaohong
    Wang, Jie
    Liu, Xiong
    Chen, Xiaomei
    Jiang, Yiqi
    Li, Xiangping
    Zhang, Bao
    JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH, 2016, 35
  • [18] MicroRNA identity and abundance in porcine skeletal muscles determined by deep sequencing
    Nielsen, M.
    Hansen, J. H.
    Hedegaard, J.
    Nielsen, R. O.
    Panitz, F.
    Bendixen, C.
    Thomsen, B.
    ANIMAL GENETICS, 2010, 41 (02) : 159 - 168
  • [19] Deep sequencing of microRNA precursors reveals extensive 3′ end modification
    Newman, Martin A.
    Mani, Vidya
    Hammond, Scott M.
    RNA, 2011, 17 (10) : 1795 - 1803
  • [20] MicroRNA repertoire for functional genome research in tilapia identified by deep sequencing
    Yan, Biao
    Wang, Zhen-Hua
    Zhu, Chang-Dong
    Guo, Jin-Tao
    Zhao, Jin-Liang
    MOLECULAR BIOLOGY REPORTS, 2014, 41 (08) : 4953 - 4963