中国组织工程研究 ›› 2016, Vol. 20 ›› Issue (23): 3407-3412.doi: 10.3969/j.issn.2095-4344.2016.23.009

• 肿瘤干细胞 cancer stem cells • 上一篇    下一篇

生物信息学分析肝癌干细胞中致瘤基因表达的差异

李淑娜,宋娜娜   

  1. 中南大学湘雅医学院医学检验系,湖南省长沙市  410013
  • 收稿日期:2016-05-01 出版日期:2016-06-03 发布日期:2016-06-03
  • 通讯作者: 李淑娜,中南大学湘雅医学院医学检验系,湖南省长沙市 410013
  • 作者简介:李淑娜,1989年生,女,汉族,山西省太原市人,在读硕士。

Bioinformatics analysis of differentially expressed oncogenes in liver cancer stem cells

Li Shu-na, Song Na-na   

  1. Department of Laboratory Medicine, Xiangya Medical College of Central South University, Changsha 410013, Hunan Province, China
  • Received:2016-05-01 Online:2016-06-03 Published:2016-06-03
  • Contact: Li Shu-na, Department of Laboratory Medicine, Xiangya Medical College of Central South University, Changsha 410013, Hunan Province, China
  • About author:Li Shu-na, Studying for master’s degree, Department of Laboratory Medicine, Xiangya Medical College of Central South University, Changsha 410013, Hunan Province, China

摘要:

文章快速阅读:

文题释义:
肝癌干细胞:
具有CD90+,CD133+的肝癌细胞具有肿瘤干细胞的强增殖能力、克隆形成能力以及致瘤性特性,可以作为是肝癌肿瘤细胞的标志,而HepG2可以检测到两种细胞的表达。
基因芯片:又称 DNA 芯片、生物芯片。基因芯片技术系指将大量探针分子固定于支持物上后与标记的样品分子进行杂交,通过检测每个探针分子的杂交信号强度进而获取样品分子的数量和序列信息。通俗地说,就是通过微加工技术,将数以万计、乃至百万计的特定序列的DNA片段,有规律地排列固定于2 cm2的硅片、玻片等支持物上,构成的一个二维DNA探针阵列,与计算机的电子芯片十分相似,所以被称为基因芯片。

 

摘要
背景:
研究认为,肝癌干细胞中致瘤基因表达与肝癌的发生、发展具有一定的关系,但目前尚缺乏对生物信息学和机制的研究。
目的:对于肝癌干细胞相关的致瘤性差异基因进行筛选,并对其进行生物信息学分析。
方法:将人肝癌细胞株HepG2作为肝癌干细胞的细胞工具制备总RNA并进行荧光标记,使用基因芯片进行杂交试验,将获得的mRNA表达谱进行筛选后获得差异性mRNAs,利用生物信息学进行GO注释和Pathway注释分析。
结果与结论:芯片杂交实验的检出率为73.21%,说明杂交试验是成功的;实验共有38 342个mRNA被发现,进一步分析后,筛选差异性表达基因1 236个(P < 0.05,fold change≥2),其中上调和下调表达基因的数量分别为599和637个(P < 0.05);表达差异基因的生物学功能主要涉及到了组蛋白的H4乙酰化,细胞的有丝分裂以及增殖、细胞相关蛋白质的合成以及分解、染色体的分离、细胞的分化以及凋亡、信号的转导、营养物质的运输、转录;Pathway注释主要涉及细胞因子介导的炎症信号通路、Wnt信号通路、Hedgehog通路以及Notch通路、TGF-Beta和Jak-STAT等。结果证实,肝癌干细胞中的差异表达基因与肝癌的发生有关,也可能参与信号通路的调控,这可为肝癌的治疗提供一种新靶点。

 

中国组织工程研究杂志出版内容重点:干细胞;骨髓干细胞;造血干细胞;脂肪干细胞;肿瘤干细胞;胚胎干细胞;脐带脐血干细胞;干细胞诱导;干细胞分化;组织工程
ORCID:
0000-0002-2029-4953(李淑娜)

关键词: 干细胞, 肿瘤干细胞, 肝癌, 致瘤基因, 生物信息学, 信号通路, 生物功能, 细胞培养, 差异基因, 基因芯片, 组织工程

Abstract:

BACKGROUND: Studies have suggested that oncogene expression in liver cancer stem cells has a certain relationship with the occurrence and development of liver cancer, but there is still a lack of research on bioinformatics and mechanisms.
OBJECTIVE: To identify differentially expressed genes in liver cancer stem cells and to analyze these genes by bioinformatics.
METHODS: The human hepatoma cell line HepG2 was the cell tool of liver cancer stem cells to prepare total RNA, and fluorescent labeling experiment was conducted. Using gene chips hybridization, mRNA expression profiles were obtained and were screened, and then differentially expressed mRNAs were obtained, GO and Pathway annotations were analyzed using bioinformatics.
RESULTS AND CONCLUSION: The detection rate was 73.21% for hybridization experiment, indicating the hybridization experiment is successful. In this study, a total of 38 342 mRNA were found, and after further analysis, 1 236 differentially expressed genes were screened (P < 0.05, fold change ≥ 2), including 599 up-regulated and 637 down-regulated genes, respectively (P < 0.05). Biological functions of differentially expressed genes were mainly involved in the histone H4 acetylation, cell mitosis and proliferation, synthesis and decomposition of cell-associated proteins, chromosome segregation, cell differentiation and apoptosis, signal transduction, as well as nutrient transportation and transcription. Pathway annotations were mainly related to cytokine-mediated inflammatory signaling pathway, Wnt signaling pathway, Hedgehog and Notch signaling pathways, TGF-Beta, Jak-STAT and so on. These results demonstrate that differentially expressed genes in liver cancer stem cells are related to the occurrence of liver cancer, and may be involved in the regulation of signaling pathways, which provides a new target for the treatment of liver cancer.

 

中国组织工程研究杂志出版内容重点:干细胞;骨髓干细胞;造血干细胞;脂肪干细胞;肿瘤干细胞;胚胎干细胞;脐带脐血干细胞;干细胞诱导;干细胞分化;组织工程

Key words: Stem cells, Liver Neoplasm, Tissue Engineering

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