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Creating atlases of gene expression using voxelation.

机译:使用体素创建基因表达图谱。

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摘要

Gene expression signatures in the mammalian brain hold the key to understanding neural development and neurological diseases. The goal of this research is to provide atlases of gene and protein expression for the mouse genome in the brain. In order to accomplish this, voxelation was employed in combination with microarray and high-throughput mass spectrometry analysis. Voxelation involves dicing the brain into spatially registered voxels (cubes) at a resolution of 1 mm3. The studies presented here show gene and protein expression patterns in a coronal slice at the level of the striatum. At the most basic level, 20,000 gene and 1,500 protein expression images for this coronal slice are now available to the neuroscience community for reference to other studies. Good reliability of the microarray results were confirmed using multiple replicates, subsequent quantitative RT-PCR voxelation, mass spectrometry voxelation and publicly available in situ hybridization data. Higher levels of analysis identify clusters of genes that have unexpected patterns, such as a dorsal/ventral gradient of expression not restricted to known anatomical boundaries. Additionally, this cross-modality study investigates the relationship between transcript and protein levels which have previously been thought to be difficult to relate directly.;The final study of this dissertation involves characterizing two pharmacological mouse models of Parkinson's disease using transcriptomic and proteomic techniques. Microarray and high-throughput mass spectrometry analyses of the mouse striatum demonstrate a large number of genes and proteins that are differentially regulated in response to treatment. Again, this cross-modality study provides insights into potential translation controls of drug response. MicroRNA suppression of protein expression is a strong candidate as a controlling agent in this process. The findings of this study provide the neuroscience community with further insights into the molecular architecture of the brain in two pharmacological models of Parkinson's disease in the mouse.
机译:哺乳动物大脑中的基因表达特征是理解神经发育和神经系统疾病的关键。这项研究的目的是为大脑中的小鼠基因组提供基因和蛋白质表达图谱。为了实现此目的,体素化与微阵列和高通量质谱分析结合使用。体素化涉及以1 mm3的分辨率将大脑切成空间对齐的体素(立方体)。这里介绍的研究显示了纹状体水平的冠状切片中的基因和蛋白质表达模式。在最基本的水平上,该冠状切片的20,000个基因和1,500个蛋白质表达图像现已提供给神经科学界,以供其他研究参考。使用多次重复,随后的定量RT-PCR体素化,质谱法体素化和公开可用的原位杂交数据,证实了微阵列结果的良好可靠性。较高的分析水平可确定具有意外模式的基因簇,例如表达的背侧/腹侧梯度不限于已知的解剖学边界。此外,该跨模态研究还探讨了转录物与蛋白质水平之间的关系,而以前人们认为这种关系很难直接关联。本论文的最终研究包括使用转录组学和蛋白质组学技术对帕金森氏病的两种药理小鼠模型进行表征。小鼠纹状体的微阵列和高通量质谱分析表明,大量的基因和蛋白质在响应治疗后受到差异调节。同样,这项跨模式研究提供了对潜在药物反应翻译控制的见解。在此过程中,抑制蛋白表达的MicroRNA是作为控制剂的强力候选者。这项研究的发现为神经科学界提供了在小鼠帕金森氏病的两种药理模型中对大脑分子结构的进一步了解。

著录项

  • 作者

    Chin, Mark Henry.;

  • 作者单位

    University of California, Los Angeles.;

  • 授予单位 University of California, Los Angeles.;
  • 学科 Biology Bioinformatics.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 154 p.
  • 总页数 154
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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