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相关概念视频

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
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MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

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Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.
Matrix-assisted laser desorption ionization (MALDI) is a commonly...
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Mitochondrial Precursor Proteins01:39

Mitochondrial Precursor Proteins

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Mitochondrial precursors are partially unfolded or loosely folded polypeptide chains. Newly synthesized precursors are inhibited from spontaneously folding into their native conformation by the cytosolic chaperones, heat shock proteins 70 (Hsp70), and mitochondrial import stimulation factors (MSFs). Precursors bound to MSFs are guided to the TOM70-TOM37 receptors, while precursors bound to Hsp70  chaperones are targetted to TOM20-TOM22 receptor complexes.
Most of the mitochondrial...
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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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相关实验视频

Updated: Jun 15, 2025

Detection of Protein Ubiquitination Sites by Peptide Enrichment and Mass Spectrometry
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Detection of Protein Ubiquitination Sites by Peptide Enrichment and Mass Spectrometry

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深度学习使蛋白质识别从前体MS信息的前体MS信息.

Yameng Dai1, Yi Yang2, Enhui Wu1

  • 1Department of Chemistry, and Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China.

Journal of proteome research
|August 21, 2024
PubMed
概括
此摘要是机器生成的。

这项研究介绍了MonoMS1,一种新的计算方法,通过利用MS1特征与并联质谱法 (MS/MS) 一起提高蛋白质组分析. 这种方法显著改善了和蛋白质的识别,特别是复杂和低丰度样本.

关键词:
这是MS1的特点.深度学习是一种深度学习.蛋白质组学 蛋白质组学血清蛋白质组的血清蛋白质组是一个单细胞的单细胞.

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Last Updated: Jun 15, 2025

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.
  • 计算生物学 计算生物学
  • 质谱测量质量谱测量

背景情况:

  • 双重质谱法 (MS/MS) 是蛋白质组分析的主要技术.
  • MS/MS经常低利用MS1的特征,导致不完整的识别,特别是在低丰度或广泛动态范围的样本中.
  • 补充MS/MS与MS1特征提供了一个有前途的战略,以提高蛋白质覆盖范围.

研究的目的:

  • 开发和验证MonoMS1,一种用于MS1特征识别的新型计算方法.
  • 改进复杂蛋白质样本中和蛋白质的全面识别.
  • 为了证明MonoMS1在增强低丰度和广泛动态范围样本的蛋白质组分析中的实用性.

主要方法:

  • 开发了MonoMS1,集成深度学习用于保留时间,离子移动性和可检测性预测.
  • 使用基于MS1特征识别的基于后勤回归的评分.
  • 将MonoMS1方法应用于各种蛋白质组数据集,包括大肠杆菌,人体血清和单细胞蛋白质组样本.

主要成果:

  • MonoMS1显著提高了在*大肠杆菌*数据集中的MS1特征识别.
  • 该方法在很大程度上补充了基于MS/MS的识别在人血清 (广泛的动态范围) 和单细胞 (低丰度) 蛋白质样本中.
  • 通过整合MS1特征,证明了增强的和蛋白质覆盖率.

结论:

  • MonoMS1为MS1特征识别在蛋白质组分析中提供了一种强大的新方法.
  • 这种方法显著提高了复杂和具有挑战性的蛋白质组样本的识别能力.
  • MonoMS1代表了蛋白质组研究的宝贵进步,特别是在需要深度覆盖的领域.