不同培养方法对乳腺癌MDA-MB-231细胞DNA甲基化状态的影响

doi:10.13481/j.1671-587x.20160216

吉林大学学报(医学版) ›› 2016, Vol. 42 ›› Issue (02): 271-276.doi: 10.13481/j.1671-587x.20160216

不同培养方法对乳腺癌MDA-MB-231细胞DNA甲基化状态的影响

乔莎¹, 黄映辉², 王世宝¹, 孙延霞¹, 卢振霞¹

1. 吉林大学中日联谊医院肿瘤血液科, 吉林长春 130033;
2. 北京工业大学生命科学与生物工程学院肿瘤研究所, 北京 100124

收稿日期:2015-11-11 发布日期:2016-03-31
通讯作者: 卢振霞,教授,硕士研究生导师(Tel:0431-84995733,E-mail:lzx2010@yahoo.com.cn) E-mail:lzx2010@yahoo.com.cn
作者简介:乔莎(1989-),女,河南省南阳市人,在读医学硕士,主要从事乳腺癌表观遗传学方面的研究。
基金资助:
吉林省科技厅自然科学基金资助课题(201215069)

Influence of different culture methods in DNA methylation status of breast cancer MDA-MB-231 cells

QIAO Sha¹, HUANG Yinghui², WANG Shibao¹, SUN Yanxia¹, LU Zhenxia¹

1. Department of Oncology and Hematology, China-Japan Union Hospitial, Jilin University, Changchun 130033, China;
2. Cancer Institute, College of Life Sciences and Bioengineering, Beijing Polytechnic University, Beijing 100124, China

Received:2015-11-11 Published:2016-03-31

摘要/Abstract

摘要：

目的: 探讨不同细胞培养方法对乳腺癌MDA-MB-231细胞全基因组DNA甲基化状态的影响,阐明基因组甲基化状态与细胞生长环境的关系及其在肿瘤发生发展中的作用。方法: 采用二维(2D)、三维(3D)细胞培养模型及小鼠肿瘤细胞原位移植(Ti)模型培养MDA-MB-231细胞并收集,分别用DNA提取试剂盒对收集的细胞进行DNA提取,DNA甲基化芯片检测3种模型培养后乳腺癌MDA-MB-231细胞全基因组DNA甲基化状态,应用Genomestudio软件计算每1个基因CpG位点的β值、DiffScore和Delta_Beta,并在2种模型之间比较,筛选出差异甲基化基因;采用DAVID在线分析工具对筛选的基因进行GO和Pathway分析。结果: 3D与2D模型培养的MDA-MB-231细胞共发现480个差异甲基化基因(P<0.05),3D与Ti模型有86448个差异甲基化基因(P<0.05),Ti与2D模型有90005个差异甲基化基因(P<0.05); 3D与2D、3D与Ti和Ti与2D模型的差异甲基化基因在多细胞生物体发育和细胞分化条目上有富集(P<0.05);亦在MAPK信号通路、细胞黏附分子和肌动蛋白骨架调节通路上有富集(P<0.05)。结论: 采用2D、3D和Ti模型3种方法培养MDA-MB-231细胞其全基因组DNA甲基化状态存在差异。

关键词: 三维细胞培养, 肿瘤, DNA甲基化, 二维细胞培养, 小鼠原位移植模型

Abstract:

Objective: To explore the influence of different cell culture methods in the genome-wide DNA methylation status of breast cancer MDA-MB-231 cells, and to clarify the relationship between genome-wide DNA methylation status and cell growth environment and the role of genome-wide DNA methylation status in the occurrence and development of tumor.Methods: The MDA-MB-231 cells were cultured with 2D and 3D cell culture models and mouse orthotopic transplantation model (Timodel) and collected, then DNA was extracted by DNA extraction kit and the genome-wide DNA methylation status of MDA-MB-231 cells after cultured with three different culture methods was detected by DNA methylation chip, then the value of beta, DiffScore and Delta_Beta of the CpG loci of each gene were calculated by applying Genomestudio software, and the differential methylation genes were screened by Genomestudio software and GO and Pathway analysis of these genes were performed in DAVID on-line analysis tool.Results: All 480 genes of the MDA-MB-231 cells showed significant differences in the degree of methylation in 3D and 2D models(P<0.05);86 448 genes in 3D and Ti models(P<0.05); 90 005 genes in Ti and 2D models(P<0.05).The differential methylation genes in 3D and 2D, 3D and Ti, and Ti and 2D models were enriched on the multicellular organismal development term and cell differentiation term(P<0.05);also on MAPK signaling pathway, cell adhesion molecules (CAMs), and regulation of actin cytoskeleton(P<0.05).Conclusion: There are differences in genome-wide DNA methylation status of MDA-MB-231 cells cultured in 2D, 3D cell culture and Ti models.

Key words: three-dimensional cell culture, tumor, DNA methylation, two-dimensional cell culture, mouse orthotopic transplantation model

中图分类号:

R73-35

乔莎, 黄映辉, 王世宝, 孙延霞, 卢振霞. 不同培养方法对乳腺癌MDA-MB-231细胞DNA甲基化状态的影响[J]. 吉林大学学报(医学版), 2016, 42(02): 271-276.

QIAO Sha, HUANG Yinghui, WANG Shibao, SUN Yanxia, LU Zhenxia. Influence of different culture methods in DNA methylation status of breast cancer MDA-MB-231 cells[J]. Journal of Jilin University Medicine Edition, 2016, 42(02): 271-276.

参考文献

[1] Ravi M,Paramesh V,Kaviya SR,et al. 3D cell culture systems:advantages and applications[J]. J Cell Physiol,2015,230(1):16-26.

[2] Lovitt CJ,Shelper TB,Avery VM.Evaluation of chemotherapeutics in a three-dimensional breast cancer model[J].J Cancer Res Clin Oncol,2015,141(5):951-959.

[3] Dawson MA,Kouzarides T.Cancer epigenetics:from mechanism to therapy[J].Cell,2012,150(1):12-27.

[4] Teoh-Fitzgerald ML, Fitzgerald MP,Zhong W,et al.Epigenetic reprogramming governs EcSOD expression during human mammary epithelial cell differentiation,tumorigenesis and metastasis[J]. Oncogene,2014,33(3):358-368.

[5] DesRochers TM,Shamis Y,Alt-Holland A,et al. The 3D tissue microenvironment modulates DNA methylation and E-cadherin expression in squamous cell carcinoma[J]. Epigenetics,2012,7(1):34-46.

[6] Cheung KJ,Ewald AJ.Illuminating breast cancer invasion:diverse roles for cell-cell interactions[J]. Curr Opin Cell Biol,2014,30C:99-111.

[7] You JS,Jones PA.Cancer genetics and epigenetics:two sides of the same coin[J].Cancer Cell,2012,22(1):9-20.

[8] Goel A,Boland CR.Epigenetics of colorectal cancer[J].Gastroenterology,2012,143(6):1442-1460.

[9] Bissell MJ,Kenny PA,Radisky DC.Microenvironmental regulators of tissue structure and function also regulate tumor induction and progression:the role of extracellular matrix and its degrading enzymes[J].Cold Spring Harb Symp Quant Biol,2005,70:343-356.

[10] Benton G,Crooke E,George J.Laminin-1 induces E-cadherin expression in 3-dimensional cultured breast cancer cells by inhibiting DNA methyltransferase 1 and reversing promoter methylation status[J]. FASEB J,2009,23(11):3884-3895.

[11] Baranwal S,Alahari SK.Rho GTPase effector functions in tumor cell invasion and metastasis[J]. Curr Drug Targets,2011,12(8):1194-1201.

[12] Luis-Ravelo D,Anton I,Zandueta C,et al. RHOB influences lung adenocarcinoma metastasis and resistance in a host-sensitive manner[J]. Mol Oncol,2014,8(2):196-206.

[13] Ellenbroek SI,Collard JG.Rho GTPases:functions and association with cancer[J].Clin Exp Metastasis,2007,24(8):657-672.

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不同培养方法对乳腺癌MDA-MB-231细胞DNA甲基化状态的影响

Influence of different culture methods in DNA methylation status of breast cancer MDA-MB-231 cells

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