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Induction of Chromosome Instability by Gene Dosage and Over-Expression in Saccharomyces cerevisiae.

机译:基因剂量和过量表达在酿酒酵母中诱导染色体不稳定。

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摘要

At least 723 genes contribute to the stability of chromosomes in yeast. While much has been studied about the isolated functions of these single genes, less has been studied about the emergent properties of the system of genes as a whole. To understand these properties, we report novel chromosome instability phenotypes induced by gene over-expression and compare these to the loss-of-function phenotypes that were reported previously. We performed 136 focused assays and report 52 novel chromosome-instability phenotypes. Using imaging flow cytometry, we report that over-expression of genes that promote G1 tend to induce chromosome/marker gain; the genes that promote the later stages of the cell cycle tend to induce chromosome/marker loss. We modeled the biochemical dynamics of a possible mechanism, "mitotic slippage," using a previously published system of differential equations. To systematically explore additional mechanisms, we assayed the growth phenotypes of 252 double mutants; each pair of mutants consisted of one of our gain-of-function mutations paired with a deletion mutation that was previously implicated in chromosome instability. We report that 71 double mutants demonstrated synthetic dosage sickness or lethality, while 22 double mutants demonstrated dosage suppression. Dosage suppression was observed consistently using CDC20, a gene that induced mitotic slippage in silico. Sickness and lethality was induced consistently by the ectopic expression of IME2, REC8, and NDT80, genes that normally function during meiosis. One application for understanding these over-expression phenotypes is the search for drug targets for the chemoprevention of mutagenesis and cancer.
机译:至少有723个基因有助于酵母中染色体的稳定性。尽管已经对这些单个基因的分离功能进行了很多研究,但对整个基因系统的新兴特性的研究却很少。为了理解这些特性,我们报告了由基因过度表达引起的新型染色体不稳定性表型,并将其与先前报道的功能丧失表型进行了比较。我们进行了136个重点分析,并报告了52种新的染色体不稳定性表型。使用成像流式细胞仪,我们报告说,促进G1的基因的过度表达往往会诱导染色体/标记的获得。促进细胞周期后期的基因倾向于诱导染色体/标记丢失。我们使用以前发布的微分方程组对可能的机制“有丝分裂滑移”进行了生物化学动力学建模。为了系统地探索其他机制,我们分析了252个双突变体的生长表型。每对突变体都由我们的功能获得突变之一与先前与染色体不稳定有关的缺失突变组成。我们报告71个双重突变体表现出合成剂量病或致死性,而22个双重突变体表现出剂量抑制。使用CDC20(一种在计算机上诱导有丝分裂滑移的基因)可始终观察到剂量抑制。 IME2,REC8和NDT80的异位表达始终诱导疾病和致死,这是在减数分裂过程中正常起作用的基因。理解这些过表达表型的一种应用是寻找化学预防诱变和癌症的药物靶标。

著录项

  • 作者

    Frumkin, Jesse Peter.;

  • 作者单位

    The Claremont Graduate University.;

  • 授予单位 The Claremont Graduate University.;
  • 学科 Biology General.;Biology Systematic.;Biology Genetics.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 369 p.
  • 总页数 369
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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