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Proteomics

Proteomics

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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Updated: Jun 4, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

不针对的空间代谢学和空间蛋白学在同一组织部分.

Gregory W Vandergrift¹, Marija Veličković¹, Le Z Day¹

¹Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.

Analytical chemistry

|December 21, 2024

概括

这项研究引入了一种新的空间多原子工作流程,使用脱电喷射电离-质谱成像 (DESI-MSI) 来在单个组织部分同时进行空间代谢和蛋白质组,从而实现集成的分子洞察力.

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A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions

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Expanding the Comprehension of the Tumor Microenvironment using Mass Spectrometry Imaging of Formalin-Fixed and Paraffin-Embedded Tissue Samples

Expanding the Comprehension of the Tumor Microenvironment using Mass Spectrometry Imaging of Formalin-Fixed and Paraffin-Embedded Tissue Samples

Published on: June 29, 2022

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Last Updated: Jun 4, 2025

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Expanding the Comprehension of the Tumor Microenvironment using Mass Spectrometry Imaging of Formalin-Fixed and Paraffin-Embedded Tissue Samples

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Published on: June 29, 2022

科学领域:

生物化学生物化学
蛋白质组学是指蛋白质组学.
代谢学代谢学代谢学

背景情况:

现有的空间多原子工作流通常需要串行段或具有不兼容的基板需求.
脱电喷雾电离-质谱成像 (DESI-MSI) 为组织上代谢物分析提供了一个潜在的解决方案.

研究的目的:

开发和验证一个新的,集成的空间多原子工作流.
为了使同一个组织部分的空间代谢和蛋白质同时发生.

主要方法:

利用DESI-MSI用于在老鼠大脑部分的组织空间代谢.
采用METASPACE进行代谢物注释,并生成一个细分图.
在同一组织段中对选定的感兴趣区域 (ROI) 进行下游空间蛋白质组学.

主要成果:

确定了160个代谢物注释与DESI-MSI (≤20%的FDR).
使用空间蛋白质组学量化38884717个蛋白质每次ROI (200μm × 200μm).
证明了陶胺局部化和SMPD3蛋白质丰富度之间的相关性.
展示了蛋白质的丰富性,解决了代谢物异构体的模糊性.

结论:

集成的DESI-MSI工作流允许从单个组织部分获得互补的空间和分子信息.
这种方法通过最大限度地减少样本破坏和基质限制来优化空间蛋白质组学试验.
工作流程有助于更深入地了解组织分子结构和功能.