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Transcriptional networks in organogenesis: Microarray analysis of mammary gland development.

机译:器官发生过程中的转录网络:乳腺发育的微阵列分析。

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摘要

Breast cancer is the second leading cause of cancer-related mortality among women in the United States and as such is a problem of tremendous clinical significance. Given the relationship between the timing of normal developmental events and breast cancer risk, elucidation of the regulatory networks underlying mammary gland organogenesis may yield important clues to mechanisms of carcinogenesis. Oligonucleotide microarrays were used to survey the expression of ∼5300 genes in the murine mammary gland during neonatal development, puberty, pregnancy, lactation, and postlactational involution.; To address the inherent difficulty of interpreting gene expression patterns within a complex tissue, an automated approach for the unbiased identification of biologically relevant patterns of gene expression was developed. This approach was applied to mammary gland development and validated through the identification of cellular processes and pathways of known importance. Additionally, this approach permitted the identification of genetic pathways with previously unelucidated patterns of developmental regulation and suggested a novel role for the mammary gland in adaptive thermogenesis. The results of this study suggest that this approach will be broadly applicable to studies of vertebrate development.; To confirm and extend these results, the expression of ∼9500 genes was determined at each of the previously examined developmental stages. These data were used to identify the relationship between global patterns of gene expression at a variety of points in mammary gland development. Additionally, triplicate data were used to identify genes that are differentially regulated during the rapid ductal growth of puberty.; Finally, microarray analysis was used to analyze the effect of inducibly overexpressing c-MYC within the murine mammary epithelium. In addition to identifying genes involved in proliferation, cell growth, and apoptosis, expression data suggested a potential role for c-MYC in promoting mammary epithelial differentiation. Comparisons of mammary gene expression patterns resulting from c-MYC overexpression with those found during normal mammary gland development suggests the possibility that chronic c-MYC expression is sufficient to activate a developmental program the mimics features of normal pregnancy and involution. These studies demonstrate the utility of large-scale expression profiling for the analysis of developmental perturbations.
机译:在美国,乳腺癌是与癌症相关的死亡率的第二大主要原因,因此这是具有巨大临床意义的问题。考虑到正常发育事件的发生时间与乳腺癌风险之间的关系,对乳腺器官发生基础调控网络的阐明可能为癌变机理提供重要线索。寡核苷酸微阵列用于调查新生儿发育,青春期,妊娠,哺乳和泌乳后复旧过程中鼠乳腺中约5300个基因的表达。为了解决解释复杂组织内基因表达模式的固有困难,开发了一种自动方法,用于公正地鉴定基因表达的生物学相关模式。该方法已应用于乳腺发育,并通过鉴定已知重要的细胞过程和途径进行了验证。另外,该方法允许鉴定具有先前未阐明的发育调节模式的遗传途径,并提出了乳腺在适应性生热中的新作用。这项研究的结果表明,这种方法将广泛适用于脊椎动物发育的研究。为了证实和扩展这些结果,在每个先前研究的发育阶段都测定了约9500个基因的表达。这些数据用于确定乳腺发育中各个点的基因表达整体模式之间的关系。此外,使用一式三份的数据来鉴定在青春期快速导管生长过程中差异调节的基因。最后,微阵列分析用于分析鼠乳腺上皮细胞中诱导型过表达c-MYC的作用。除了鉴定涉及增殖,细胞生长和凋亡的基因外,表达数据还表明c-MYC在促进乳腺上皮分化中具有潜在作用。由c-MYC过表达导致的乳腺基因表达模式与正常乳腺发育过程中发现的基因表达模式的比较表明,慢性c-MYC表达足以激活类似于正常妊娠和内卷的发育程序的可能性。这些研究证明了大规模表达谱分析对发育扰动的分析的实用性。

著录项

  • 作者

    Master, Stephen Reis.;

  • 作者单位

    University of Pennsylvania.;

  • 授予单位 University of Pennsylvania.;
  • 学科 Biology Molecular.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 212 p.
  • 总页数 212
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分子遗传学;
  • 关键词

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