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Combining laser capture microdissection and MALDI mass spectrometry for tissue protein profiling: Methodology development and clinical applications.

机译:结合激光捕获显微切割技术和MALDI质谱技术进行组织蛋白分析:方法学的发展和临床应用。

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摘要

The combination of laser capture microdissection (LCM) and matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) for protein profiling from specific cells of interest within heterogeneous tissue is presented in this thesis. The methodology of direct analysis of laser capture microdissected cells using MALDI MS is described. The sensitivity and reproducibility of this approach were reported. High quality protein expression profiles at the mass range of 2,000 to 50,000 Da are obtained. As the protocols were optimized, three clinical applications were studied: (1) protein biomarkers of normal and neoplastic mouse colon, (2) proteomic patterns of glomerulosclerosis and their use for the prediction of sclerosis progression, and (3) proteomic patterns of human breast tissue aimed at the molecular distinction of breast cancer and normal mammary tissue with classification of in situ tumor and invasive tumor. Statistically significant protein markers were identified for each of the tissue groups by amino acid sequence analysis. Immunostaining studies further confirmed the differential expression of some of these protein markers. In summary, LCM combined with MALDI MS is a sensitive, accurate, fast and reliable method to discover protein biomarkers which can aid in disease diagnosis, discovery of drug targets and advance the understanding of underlying mechanisms of diseases.
机译:本文提出了激光捕获显微切割技术(LCM)和基质辅助激光解吸/电离质谱技术(MALDI MS)相结合的方法,用于从异质组织中的特定目标细胞中提取蛋白质。描述了使用MALDI MS直接分析激光捕获显微切割细胞的方法。报道了这种方法的敏感性和可重复性。获得质量范围为2,000至50,000 Da的高质量蛋白质表达谱。随着方案的优化,研究了三种临床应用:(1)正常和赘生性小鼠结肠的蛋白质生物标志物,(2)肾小球硬化的蛋白质组学模式及其在预测硬化过程中的应用,以及(3)人乳房的蛋白质组学模式旨在区分乳腺癌和正常乳腺组织的分子,并根据原位肿瘤和浸润性肿瘤进行分类。通过氨基酸序列分析,为每个组织组鉴定了统计学上重要的蛋白质标记。免疫染色研究进一步证实了其中一些蛋白质标记的差异表达。总之,LCM与MALDI MS相结合是一种发现蛋白质生物标记物的灵敏,准确,快速和可靠的方法,可以帮助疾病诊断,发现药物靶标和增进对疾病潜在机制的理解。

著录项

  • 作者

    Xu, Baogang Jonathan.;

  • 作者单位

    Vanderbilt University.;

  • 授予单位 Vanderbilt University.;
  • 学科 Chemistry Analytical.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 141 p.
  • 总页数 141
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:43:01

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