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Live cell analysis in Arabidopsis thaliana using randomly generated markers.

机译:使用随机生成的标记对拟南芥进行活细胞分析。

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摘要

This thesis describes the use of the green fluorescent protein (GFP) to explore cellular organization by marking subcellular structures using random fusions between GFP and cDNAs. This approach was tested by conducting a large scale microscope-based screen of 5700 Arabidopsis seedlings transformed with random GFP::cDNA fusions. This yielded 120 markers of a wide array of known and novel subcellular structures, including the plasma membrane, endoplasmic reticulum (ER), peroxisome, vacuole and nucleus, efficiently yielding a collection of markers for live-cell analysis that was previously unavailable in Arabidopsis.; To characterize the markers isolated, the cDNA inserts for over 100 markers were end-sequenced. This yielded the surprising result that about half of the markers isolated were targeted to several subcellular structures (particularly peroxisomes) by fusions to out-of-frame cDNAs. Thus, “random” targeting, presumably created by the existence of a variety of low-information content targeting signals, was pervasive in our experiments.; By exploiting an observation made during the course of my experiments, the marker collection was used to create a descriptive model of plant cell death. These studies show that wounding induces a stereotyped mode of cell death in cells adjacent to wound sites that is marked by nuclear contraction, separation of the nuclear envelope, ER degeneration, cellular collapse and loss of plasma membrane integrity. Herbicide induced cell death triggers rapid cellular collapse but not nuclear contraction, demonstrating these events can be uncoupled. These dynamic multi-organelle portraits illuminate several previously unrecognized alterations in cellular architecture that accompany plant cell death and create a new framework for their analyses using genetic and biochemical approaches. In addition, they illustrate a previously unappreciated degree of similarity between the responses of plants to wounding and the hypersensitive response to pathogen attack at the cellular level.
机译:本文介绍了绿色荧光蛋白(GFP)通过使用GFP和cDNA之间的随机融合标记亚细胞结构来探索细胞组织的用途。通过对5700个用随机GFP :: cDNA融合体转化的拟南芥幼苗进行基于显微镜的大规模筛选,测试了该方法。这样就产生了120种多种已知和新型亚细胞结构的标志物,包括质膜,内质网(ER),过氧化物酶体,液泡和细胞核,有效地产生了用于活细胞分析的一系列标志物,而以前在拟南芥中是不可用的。 ;为了表征分离的标记,对100多个标记的cDNA插入片段进行了末端测序。这产生了令人惊讶的结果,即通过与框架外cDNA融合,大约一半分离出的标记物被靶向到几个亚细胞结构(特别是过氧化物酶体)。因此,在我们的实验中,“随机”定位很普遍,大概是由于存在各种低信息含量的定位信号所造成的。通过利用我在实验过程中所做的观察,将标记物集合用于创建植物细胞死亡的描述性模型。这些研究表明,伤口会在伤口部位附近的细胞中引起刻板印象的细胞死亡,其特征是核收缩,核膜分离,ER变性,细胞塌陷和质膜完整性丧失。除草剂诱导的细胞死亡触发了快速的细胞崩溃,但没有引起核收缩,表明这些事件可能是不相关的。这些动态的多细胞器肖像照亮了一些以前无法识别的细胞结构变化,这些变化伴随着植物细胞死亡,并为使用遗传和生化方法进行分析提供了新的框架。此外,它们在细胞水平上说明了植物对创伤的反应与对病原体侵袭的超敏反应之间的相似度,以前是未知的。

著录项

  • 作者

    Cutler, Sean Randolph.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Biology Cell.; Biology Microbiology.; Biology Botany.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 p.4314
  • 总页数 230
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 细胞生物学;
  • 关键词

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