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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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Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

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Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
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相关实验视频

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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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空间蛋白质组学朝着细胞分辨率的方向发展

Yumi Kwon1, James M Fulcher1, Ljiljana Paša-Tolić1

  • 1Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.

Expert review of proteomics
|December 23, 2024
PubMed
概括

非定位质谱空间蛋白质学为理解组织中的分子组织提供了一种强大的方法. 组织剖析,样本处理和LC-MS方面的进步正在推动空间蛋白质组学朝着细胞分辨率发展.

关键词:
激光捕获微解剖的微解剖方法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纳米POTSTS 纳米POTS 的时间.蛋白质组学 蛋白质组学单细胞蛋白组学 单细胞蛋白组学空间生物学空间生物学空间的奥米克.

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科学领域:

  • 空间生物学和奥米克技术.
  • 组织微环境的分子分析.

背景情况:

  • 空间生物学利用空间奥米克进行生物发现.
  • 诸如空间转录学,基因组学,免疫光学和代谢学等技术使高分辨率的空间分析成为可能.
  • 这些进展加深了对组织微环境中的分子组织的理解.

研究的目的:

  • 为了提供一个非目标的,自下而上的基于质谱 (MS) 的空间蛋白质组学的概述.
  • 突出最近在关键工作流组件的进展.
  • 讨论未来发展空间蛋白质组学的方向.

主要方法:

  • 基于自下而上质谱 (MS) 的空间蛋白质组学工作流程的概述.
  • 讨论组织剖析技术.
  • 对样本处理和液态染色学 (LC) -MS技术的审查.

主要成果:

  • 组织剖析,样本处理和LC-MS技术的近期进展正在推动空间蛋白质组学.
  • 当前的工作流正在将空间蛋白质组学转向细胞分辨率.

结论:

  • 基于非目标性MS的空间蛋白质组学是一个快速发展的领域,具有显著的前景.
  • 数据分析,自动组织剖析和高通量LC-MS的进一步进步至关重要.
  • 在剖析技术,仪器仪表和计算工具方面需要取得重大进展,才能充分发挥潜力.