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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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Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
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相关实验视频

Updated: Jun 27, 2025

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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蛋白质组学为精密瘤疗法增加了一个补充的维度.

Zhaokai Zhou1,2, Ruiqi Zhang1, Aoyang Zhou1

  • 1Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China.

Computational and structural biotechnology journal
|May 1, 2024
PubMed
概括

高通量蛋白质组学可实现精确的蛋白质量化,用于分析分子特征. 本综述探讨了蛋白质组学技术和数据集成,以推进精准医学和瘤治疗.

关键词:
数据整合数据集成分子类型的定型.精确的瘤疗法 精确的瘤治疗蛋白质网络是一种蛋白质网络.蛋白质组学是指蛋白质组学.蛋白质组学分析技术的技术.

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相关实验视频

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Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
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Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors

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科学领域:

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

背景情况:

  • 高通量蛋白质基因分析允许在样本中精确量化多种蛋白质.
  • 数据分析的进步促进了蛋白质组学数据的整合和整合.
  • 蛋白质组学有助于理解分子机制,并识别精准医学中的生物标志物.

研究的目的:

  • 审查当前的蛋白质组学技术.
  • 讨论蛋白质组学数据集成的进展和方法.
  • 探索蛋白质组学在精密医学和临床环境中的整合.

主要方法:

  • 对高通量蛋白质基因分析技术的审查.
  • 对蛋白质组学数据整合方法的分析.
  • 讨论在精密医学和临床环境中的应用.

主要成果:

  • 蛋白质组学技术提供了全面的分子特征分析.
  • 综合蛋白质组学数据可以识别关键的分子机制和生物标志物.
  • 在精准医学中融合蛋白质组学的潜力是显著的.

结论:

  • 蛋白质组学是研究和临床环境中分子分析的强大工具.
  • 数据集成对于在精准医学中利用蛋白质组学至关重要.
  • 进一步整合蛋白质组学将提高瘤的精确治疗.