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相关概念视频

Proteomics01:33

Proteomics

9.4K
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...
9.4K
Ribosome Profiling02:24

Ribosome Profiling

4.1K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
4.1K

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相关实验视频

Updated: Jan 18, 2026

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
07:01

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

872

一个更新的生物导体工作流程,用于对应性分析亚细胞蛋白质组学.

Charlotte Hutchings1, Thomas Krueger2, Oliver M Crook3

  • 1Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, CB2 1QR, UK.

F1000Research
|September 11, 2025
PubMed
概括
此摘要是机器生成的。

这项研究提出了一个新的R工作流程,用于分析从质谱学的亚细胞蛋白质组学数据. 它能够准确地分类蛋白质局部化,并预测跨条件的差异化局部化事件.

关键词:
洛皮特 (LOPIT) 公司在QFeatures中,我们可以看到QFeatures.亚细胞空间蛋白质组学一个带带的带子.相关性分析的概况质谱测量质谱测量质谱测量质谱测量质量测量质谱测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量pRolocc 的意思是蛋白质的定位蛋白质的定位.

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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

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相关实验视频

Last Updated: Jan 18, 2026

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
07:01

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

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科学领域:

  • 蛋白质组学是指蛋白质组学.
  • 细胞生物学 细胞生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 蛋白质亚细胞局部化对于蛋白质功能至关重要.
  • 基于质谱的相关性分析有助于分类蛋白质定位.
  • 通过比较静态局部化,可以发现不同的蛋白质局部化事件.

研究的目的:

  • 为处理和分析亚细胞蛋白质组学数据提供全面的工作流.
  • 为了实现高可靠性蛋白质局部化分类和差异性局部化预测.
  • 为了促进各种质谱数据类型的工作流程的调整.

主要方法:

  • 使用来自生物导体的开源R软件包.
  • 采用QFeatures基础设施来生成蛋白质相关性概况.
  • 集成机器学习用于蛋白质亚细胞局部化分类.

主要成果:

  • 一个强大的工作流程来处理和分析亚细胞蛋白质组学数据.
  • 产生了高质量的蛋白质相关性概况.
  • 准确的蛋白质定位分类和差异定位预测.

结论:

  • 一个全面的从头到尾的工作流程,用于相关性概况,亚细胞蛋白质组学实验.
  • 该工作流在R版本4.5.0中与生物导体版本3.21.0一起实现.