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Integrative Genomics Reveals a Role for GNA13 in Lymphomagenesis.

机译:整合基因组学揭示了GNA13在淋巴瘤发生中的作用。

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摘要

Lymphomas comprise a diverse group of malignancies derived from immune cells. High throughput sequencing has recently emerged as a powerful and versatile method for analysis of the cancer genome and transcriptome. As these data continue to emerge, the crucial work lies in sorting through the wealth of information to hone in on the critical aspects that will give us a better understanding of biology and new insight for how to treat disease. Finding the important signals within these large data sets is one of the major challenges of next generation sequencing.;In this dissertation, I have developed several complementary strategies to describe the genetic underpinnings of lymphomas. I begin with developing a better method for RNA sequencing that enables strand-specific total RNA sequencing and alternative splicing profiling in the same analysis. I then combine this RNA sequencing technique with whole exome sequencing to better understand the global landscape of aberrations in these diseases. Finally, I use traditional cell and molecular biology techniques to define the consequences of major genetic alterations in lymphoma.;Through this analysis, I find recurrent silencing mutations in the G alpha binding protein GNA13 and associated focal adhesion proteins. I aim to describe how loss-of-function mutations in GNA13 can be oncogenic in the context of germinal center B cell biology. Using in vitro techniques including liquid chromatography-mass spectrometry and knockdown and overexpression of genes in B cell lymphoma cell lines, I determine protein binding partners and downstream effectors of GNA13. I also develop a transgenic mouse model to study the role of GNA13 in the germinal center in vivo to determine effects of GNA13 deletion on germinal center structure and cell migration.;Thus, I have developed complementary approaches that span the spectrum from discovery to context-dependent gene models that afford a better understanding of the biological function of aberrant events and ultimately result in a better understanding of disease.
机译:淋巴瘤包括源自免疫细胞的多种恶性肿瘤。高通量测序最近已成为一种强大而通用的方法,用于分析癌症基因组和转录组。随着这些数据的不断涌现,关键的工作在于整理大量的信息,以深入研究关键的方面,这将使我们对生物学有更好的了解,并为如何治疗疾病提供了新的见识。在这些大数据集中寻找重要信号是下一代测序的主要挑战之一。在本文中,我开发了几种互补的策略来描述淋巴瘤的遗传基础。我首先开发一种更好的RNA测序方法,该方法可在同一分析中实现链特异性总RNA测序和其他剪接图谱分析。然后,我将这种RNA测序技术与整个外显子组测序相结合,以更好地了解这些疾病中的畸变的整体情况。最后,我使用传统的细胞和分子生物学技术来确定淋巴瘤主要遗传改变的后果。通过此分析,我发现了G alpha结合蛋白GNA13和相关的粘着斑蛋白中的反复沉默突变。我的目的是描述在生发中心B细胞生物学的背景下,GNA13中的功能丧失突变是如何致癌的。使用体外技术,包括液相色谱-质谱法和B细胞淋巴瘤细胞系中基因的敲低和过表达,我确定了GNA13的蛋白结合伴侣和下游效应物。我还开发了一种转基因小鼠模型,以研究GNA13在体内生发中心中的作用,以确定GNA13缺失对生发中心结构和细胞迁移的影响。因此,我已经开发了从发现到背景的整个范围的互补方法,依赖性基因模型,可以更好地理解异常事件的生物学功能,并最终导致对疾病的更好理解。

著录项

  • 作者

    Greenough, Adrienne.;

  • 作者单位

    Duke University.;

  • 授予单位 Duke University.;
  • 学科 Genetics.;Oncology.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 168 p.
  • 总页数 168
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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