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相关概念视频

The Proteasome01:13

The Proteasome

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Eukaryotic cells can degrade proteins through several pathways. One of the most important among these is the ubiquitin-proteasome pathway. It helps the cell eliminate the misfolded, damaged, or unwarranted cytoplasmic proteins in a highly specific manner.
In this pathway, the target proteins are first tagged with small proteins called ubiquitin. This involves participation of a series of enzymes including— E1 (ubiquitin-activating enzyme), E2 (ubiquitin-conjugating enzyme), and E3...
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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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The Proteasome Structure01:17

The Proteasome Structure

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The ubiquitin-proteasome pathway is a well-known mechanism utilized by eukaryotic cells to remove cytoplasmic proteins that are misfolded, damaged, or no longer needed. In this pathway, the protein that needs to be eliminated undergoes a process called ubiquitination, where a chain of ubiquitin molecules is attached to the 48th lysine residue of the target protein. This ubiquitin modification helps the proteasome distinguish between a target protein and a healthy protein.
The proteasome is an...
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相关实验视频

Updated: Jun 17, 2025

Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot
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术语R:从猎枪蛋白质组学数据中提取内源蛋白质分解处理的信息.

Miguel Cosenza-Contreras1,2, Adrianna Seredynska1,2, Daniel Vogele1,2,3

  • 1Faculty of Biology, University of Freiburg, Freiburg, Germany.

Proteomics
|August 10, 2024
PubMed
概括
此摘要是机器生成的。

TermineR通过注释分裂特异性和分析N-终端模式来增强蛋白质组分析. 这种方法有助于从质谱数据中了解蛋白质加工和蛋白质分解活性.

关键词:
处理数据的数据处理.多囊性脏疾病多囊性脏疾病蛋白质溶解过程中的蛋白质溶解.术语学 术语学 是一个术语学.

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相关实验视频

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科学领域:

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

背景情况:

  • 先进的质谱学和生物信息学可以识别可变特征,包括翻译后修饰,而无需生物化学丰富.
  • 半特异性蛋白质组搜索识别出原生蛋白质末端和来自蛋白质分解活性的蛋白质末端 (新N-末端分析或N-末端学).
  • 从复杂的蛋白质组搜索输出中提取生物学见解,特别是N-terminomics数据,提出了重要的数据挖掘和分析挑战.

研究的目的:

  • 介绍TermineR,一种新的数据分析方法,旨在应对采矿和分析蛋白质组数据的挑战,特别是N-terminomics.
  • 根据酶分裂特异性和已知的蛋白质加工,使的全面注释成为可能.
  • 促进N终端序列模式的差异丰度和丰富性分析,并可视化新N终端位置.

主要方法:

  • TermineR通过酶分裂特异性和蛋白质加工特征提供的注释.
  • 该方法包括对N端序列模式的差异丰度和丰富性分析.
  • TermineR提供了可视化工具,用于新N-termini的位置.

主要成果:

  • TermineR被应用于来自多囊性脏病小鼠模型的双重质量标签 (TMT) 基础蛋白质组学数据.
  • 该研究评估了对生物解读裂变事件的半特定搜索.
  • 评估了蛋白质溶解产品对整体蛋白质丰度的可变贡献.

结论:

  • TermineR提供了一个强大的框架,用于分析和解释来自半特定蛋白质组搜索的N-terminomics数据.
  • 这种方法有助于更深入地了解蛋白质加工,蛋白质分解活性及其对蛋白质丰富性的影响.
  • 该 TermineR R 包可用于更广泛的应用在研究界.