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相关概念视频

Proteomics01:33

Proteomics

7.3K
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...
7.3K

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相关实验视频

Updated: Jun 21, 2025

Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry
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Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry

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顶向下的蛋白质组学

David S Roberts1,2, Joseph A Loo3, Yury O Tsybin4

  • 1Department of Chemistry, Stanford University, Stanford, CA, USA.

Nature reviews. Methods primers
|July 15, 2024
PubMed
概括
此摘要是机器生成的。

顶向下蛋白质组学 (TDP) 分析整个蛋白质,以了解它们在疾病中的功能和作用. 这种方法提供了对蛋白质组的整体观点,推进了精准医学和生物系统的理解.

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Bottom-up and Shotgun Proteomics to Identify a Comprehensive Cochlear Proteome
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Bottom-up and Shotgun Proteomics to Identify a Comprehensive Cochlear Proteome

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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相关实验视频

Last Updated: Jun 21, 2025

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Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry

Published on: October 24, 2018

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Bottom-up and Shotgun Proteomics to Identify a Comprehensive Cochlear Proteome
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科学领域:

  • 蛋白质组学是指蛋白质组学.
  • 生物化学 生物化学
  • 分子生物学分子生物学

背景情况:

  • 由遗传和翻译后变异产生的蛋白质形式是重要的生物驱动因素.
  • 了解蛋白质形式是将基因型与表型联系起来,理解生物复杂性的关键.
  • 顶向下蛋白质组学 (TDP) 通过分析完整的蛋白质,提供了整体的蛋白质组观.

研究的目的:

  • 为了提供一个全面的Top-down蛋白质组学 (TDP) 概述.
  • 探索TDP的原则,最近的进展和未来的方向.
  • 突出TDP在各种科学和临床领域的应用.

主要方法:

  • 在没有先前消化的情况下进行完整的蛋白质分离和分析.
  • 使用双重质谱测量来进行详细的蛋白质形状表征.
  • 数据采集,处理和分析用于蛋白质形状的识别和量化.

主要成果:

  • 通过TDP,可以破译蛋白质功能和疾病机制.
  • 成功识别,表征和量化蛋白形状.
  • 证明了TDP在生物医学,生物制药和临床研究中的实用性.

结论:

  • "自上而下的蛋白质组学对于解开生物复杂性和推进精准医学至关重要.
  • 该方法提供了对蛋白质组的整体理解,这对于发现疾病机制至关重要.
  • 未来的TDP进步有望扩大各种科学领域的应用.