期刊文献+

乳腺癌癌症干细胞的特异基因识别 被引量:2

Identification of Specific Genes of Cancer Stem Cells of Breast Cancer
下载PDF
导出
摘要 乳腺癌是一种严重威胁女性健康的恶性肿瘤,癌症干细胞假说的提出为乳腺癌的起因以及治疗提供了新的模型。对746个乳腺癌样本中的18409个基因和1035个miRNAs,通过生物信息学方法构建共表达网络,将其划分到不同的共表达模块中;利用胚胎干细胞和间充质干细胞的特性进一步筛选模块,得到两个大小分别为2019和859且与上述两类干细胞相关的基因集;最后通过构建这两个基因集的调控网络,筛选出两个胚胎干细胞的特异性关键基因TPX2和MCM10,以及间充质干细胞的特异基因COL5A2。这些基因可以作为癌症干细胞的候选特异性标志物,有望成为潜在的乳腺癌治疗标靶。 Breast cancer is a kind of malignant tumor which seriously threats the health of global female. However, the hypothesis of cancer stem cell (CSC) provides a new model for breast cancer causes and treatment. In the paper, coexpression network was constructed with the bioinformatics method for 18409 genes and 1oa5 miRNA in 746 breast cancer samples, and they were divided into different coexpression modules. The characteristics of embryonic stem cells and mesenchymal stem cells were utilized to further screen the modules, and two gene sets related to the above two types of stem cells (size. 2019 and 859) were gained respectively. Finally, regulatory network for the two gene sets were constructed to screen specific hub genes TPX2 and MCMIO of two embryonic stem ceils as well as specific gene COL5A2 of mesenchymal stem cells. These genes can be considered as candidate specific biomarkers of CSC and potential therapeutic targets in the treatment of breast cancer.
出处 《浙江理工大学学报(自然科学版)》 2017年第3期451-460,共10页 Journal of Zhejiang Sci-Tech University(Natural Sciences)
基金 国家自然科学基金项目(61170110 61272312) 浙江省自然科学基金项目(LY14F020049)
关键词 乳腺癌 胚胎干细胞 间充质干细胞 基因调控网络 关键基因 breast cancer embryonic stem cells mesenchymal stem cells gene regulatory network hub genes
  • 相关文献

参考文献3

二级参考文献28

  • 1Aggarwal A,Guo D.L,Hoshida Y,Yuen S.T, Chu K.M, So S, Boussioutas A, Chen X, Bowtell D, Aburatani H, Leung S.Y, and Tan P. Topological and functional discov-ery in a gene coexpression meta-network of gastric cancer[J].{H}CANCER RESEARCH,2006,(01):232-241. 被引量:1
  • 2Barabási A.L. Scale-free networks:A decade and beyond[J].{H}SCIENCE,2009,(5939):412-413. 被引量:1
  • 3Carter S.L,Brechbühler C.M,Griffin M,Bond A.T. Gene co-expression network topology provides a framework for molecular characterization of cellular state[J].Bioinformat-ics,2004,(14):2242-2250. 被引量:1
  • 4Childs K.L,Davidson R.M,Buell C.R. Gene coex-pression network analysis as a source of functional annota-tion for rice genes[J].PLoS One,2011,(07):e22196. 被引量:1
  • 5Dewey F.E,Perez M.V,Wheeler M.T,Watt C, Spin J, Langfelder P, Horvath S, Hannenhalli S,Cappola T.P,and Ashley E.A. Gene coexpression network topolo-gy of cardiac development, hypertrophy, and failure[J].Circ Cardiovasc Genet,2010,(01):26-35. 被引量:1
  • 6Dong J,Horvath S. Understanding network concepts in modules[J].BMC Syst Biol,2007.24. 被引量:1
  • 7Farber C.R. Identification of a gene module associated with BMD through the integration of network analysis and genome-wide association data[J].{H}Journal of Bone and Mineral Research,2010,(11):2359-2367. 被引量:1
  • 8Ficklin S.P,Feltus F.A. Gene coexpression network alignment and conservation of gene modules between two grassspecies:Maizeandrice[J].{H}Plant Physiology,2011,(03):1244-1256. 被引量:1
  • 9Horvath S,Zhang B,Carlson M,Lu K.V, Zhu S, Felciano R.M, Laurance M.F, Zhao W, Qi S, Chen Z, Lee Y, Scheck A.C, Liau L.M, Wu H, Geschwind D.H, Febbo P.G, Kornblum H.I, Cloughesy T.F, Nelson S.F, and Mis-chel P.S. Analysis of oncogenic signaling networks in glioblastoma identifies ASPM as a novel molecular target[J].{H}Proceedings of the National Academy of Sciences(USA),2006,(46):17402-17407. 被引量:1
  • 10Kiel D.P,Demissie S,Dupuis J,Lunetta K.L, Murabito J.M, and Karasik D. Genome-wide association with bone mass and geometry in the framingham heart study[J].BMC Med Genet,2007,(Suppl 1):S14. 被引量:1

共引文献29

同被引文献5

引证文献2

二级引证文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部