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Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
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Mass Spectrometers01:16

Mass Spectrometers

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This lesson details the instrumentation of a mass spectrometer—a physical instrument to perform mass spectrometry on analyte molecules and record the characteristic mass spectra. This is achieved via three chief functions:
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Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
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在尺度上的函数量回归与应用到质量谱仪的质量回归 质量学数据 质量学数据

Yusha Liu1, Meng Li1, Jeffrey S Morris2

  • 1Rice University.

The annals of applied statistics
|November 20, 2023
PubMed
概括

本研究介绍了大质谱蛋白质组学数据的贝叶斯定量回归框架. 该方法提高了癌症生物标志物的检测,特别是那些在患者子集中存在的生物标志物,优于传统的平均回归方法.

科学领域:

  • 蛋白质组学是指蛋白质组学.
  • 生物标志物发现发现
  • 统计生物信息学是统计的.

背景情况:

  • 质谱蛋白质组学产生复杂的,异质的数据.
  • 癌症的特点是患者间的异质性,使生物标志物识别复杂化.
  • 传统的平均回归方法可能会错过仅在癌症患者的一个子集中存在的生物标志物.

研究的目的:

  • 开发一个统一的贝叶斯框架用于功能蛋白质组学数据的量子回归.
  • 改善检测癌症生物标志物,这些生物标志物被传统的基于平均值的分析遗漏了.
  • 为了确定胰腺癌的蛋白质生物标志物,在一组患者中差异地表达.

主要方法:

  • 一个贝叶斯框架,利用非对称拉普拉斯工作概率用于量子回归.
  • 函数系数的基本表示,以便借用强度.
  • 全球-本地收缩前值基于适应性调整的基础系数.
  • 一个可扩展的吉布斯采样器用于后置推理和多重测试调整.
  • 一种调整程序,以增强后置推理的频率特征.

主要成果:

  • 拟议的框架统一了量子回归和系数规范化,以提高性能.
  • 与竞争方法相比,模拟研究表明性能优越.
关键词:
贝叶斯的等级模型是贝叶斯的等级模型.功能性数据分析数据分析.功能反应回归的功能反应回归.全球-本地收缩缩量蛋白质组生物标志物是一种蛋白质组生物标志物.定量回归的定量回归方法

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  • 该模型成功地确定了胰腺癌中蛋白质生物标志物,平均回归错过了.

    • 结论:

    • 贝叶斯定量回归为分析异质质谱蛋白质组学数据提供了一种强大的方法.
    • 这种方法增强了特定于子集的癌症生物标志物的发现.
    • 该框架为胰腺癌等复杂疾病的生物标志物识别提供了强大的工具.