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相关概念视频

Proteomics01:33

Proteomics

7.4K
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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Updated: Jul 12, 2025

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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通过改进的标准评估蛋白质学推算方法

Lincoln Harris1, William E Fondrie2, Sewoong Oh3

  • 1Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.

Journal of proteome research
|October 20, 2023
PubMed
概括
此摘要是机器生成的。

在质谱蛋白质组学中输入缺失值可以识别新的定量并改善量化极限. 一般来说,MissForest的表现最好,尽管方法需要更好地考虑到量化变异.

关键词:
不同的表达方式,不同的表达方式.归算是指指责一个人.量化的下限量化.机器学习是机器学习.蛋白质组学 蛋白质组学量化质谱测量量质谱学量化质谱学量化质谱学统计 统计 统计 统计 统计

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Detection of Protein Ubiquitination Sites by Peptide Enrichment and Mass Spectrometry
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科学领域:

  • 蛋白质组学是指蛋白质组学.
  • 定量生物学 定量生物学
  • 生物技术是生物技术.

背景情况:

  • 使用双重质谱的定量蛋白质组学实验通常会产生许多缺失值.
  • 这些缺失值阻碍了可重现性,降低了统计能力,并使交叉样本/实验比较复杂化.
  • 现有的归算方法经常被使用,但通常表现不佳,之前的评估集中在简单的错误指标上.

研究的目的:

  • 评估定量蛋白质组学中常见的缺失值归算方法.
  • 使用实用,以下游为中心的标准来评估性能:识别差异表达的,生成新的定量,并改进的下限量化.
  • 将各种实验类型和获取策略 (数据依赖和数据独立获取) 的方法进行比较.

主要方法:

  • 使用以下游为中心的标准对归算方法的评估.
  • 与数据依赖和数据独立的采集数据进行比较.
  • 基于的量化和差异性表达分析的性能比较.

主要成果:

  • 输入并没有持续改善差异表达的识别.
  • 输入成功识别了新的定量,并提高了的下限量化.
  • 在评估的以下游为中心的标准中,MissForest方法表现出卓越的性能.

结论:

  • 虽然归算可以提高的量化和降低检测极限,但其对差异表达分析的好处并未得到保证.
  • "森林小姐" (MissForest) 成为基于实际实用性的蛋白质组学数据的最高性能归算方法.
  • 对于足够纳入化物量化变异的归算方法有着至关重要的需求.