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相关概念视频

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Peptide Identification Using Tandem Mass Spectrometry01:33

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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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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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一个以XIC为中心的战略,以改善蛋白质组数据分析中的识别和量化.

Guanghui Wang1, Zheng Zhang1, Yi Liu1

  • 1Mass Spectrometry Data Center, Biomolecular Measurement Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States.

Journal of proteome research
|April 10, 2024
PubMed
概括

本研究引入了一种双向,以XIC为中心的蛋白质组数据分析方法. 这种方法提高了识别和量化准确性,提高了基于质谱的蛋白质组学的整体可重现性.

关键词:
十一 十一 十一 十一 十一一个以XIC为中心的XIC.葡萄糖酸糖是一种葡萄糖.标识 标识 标识 标识 标识一个同位素的单一同位素.量化量化量化的量化.可复制性的可复制性验证验证的时间

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科学领域:

  • 蛋白质组学是指蛋白质组学.
  • 质谱测量质量谱测量
  • 生物化学 生物化学

背景情况:

  • 蛋白质组学中的可复制性仍然是一个重大挑战.
  • 当前的数据分析工作流通常使用单向的方法来识别和量化.
  • 提取离子染色图 (XICs) 是至关重要的,但可能存在错误.

研究的目的:

  • 提出和验证一个以XIC为中心的,双向的蛋白质组学数据分析方法.
  • 为了提高糖的识别和量化准确度.
  • 提高蛋白质组数据分析的整体可重复性.

主要方法:

  • 开发了一个以XIC为中心的战略,采用双向数据流.
  • 使用基于XIC的单同位素复选用于数据验证.
  • 利用了从糖蛋白和人类头发样本中获取的液体染色学-质谱数据.

主要成果:

  • 以XIC为中心的方法显著提高了识别和量化准确性.
  • 单同位素复制揭露了错误的识别,并拯救了非排名第一的葡萄糖.
  • 一个XIC峰值与多个唯一标识相关的情况减少,这是不可重复性的关键来源.

结论:

  • 拟议的以XIC为中心的战略提高了蛋白质组数据分析的准确性.
  • 这种方法解决了在糖标识中常见的挑战.
  • 这种方法可以提高识别和量化准确性,最终提高蛋白质组学中的可重复性.