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相关概念视频

Proteomics01:33

Proteomics

9.2K
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...
9.2K

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相关实验视频

Updated: Jan 8, 2026

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
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Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

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一个超敏感的空间组织蛋白质组学工作流,每天超过100个蛋白质组.

Melissa Klingeberg1, Christoph Krisp2, Sonja Fritzsche1

  • 1Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Spatial Proteomics Group, Berlin, Germany; MDC-Bruker Center of Excellence for Single Cell Omics, Berlin, Germany; Humboldt University of Berlin, Faculty of Life Science, Berlin, Germany.

Molecular & cellular proteomics : MCP
|December 19, 2025
PubMed
概括

优化的空间组织蛋白质组学工作流可以实现高分辨率的蛋白质组分析. 这项研究详细介绍了cellenONE协议和Evosep ONE Whisper Zoom梯度,实现了超过7500个蛋白质定量,并支持大规模的翻译研究.

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions
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A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions

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相关实验视频

Last Updated: Jan 8, 2026

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
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Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

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科学领域:

  • 蛋白质组学是指蛋白质组学.
  • 质谱测量质量谱测量
  • 组织分析 组织分析

背景情况:

  • 高分辨率的空间组织蛋白质体需要优化样本处理,染色学和质谱 (MS) 采集.
  • 平衡这些因素对于全面的蛋白质组覆盖至关重要.

研究的目的:

  • 为减少损失的组织加工提供先进的cellenONE协议.
  • 在timsUltra AIP质谱仪上比较Evosep ONE Whisper Zoom梯度和常见的DIA采集方案.
  • 为了评估组织类型,梯度长度和样本数量对蛋白质覆盖的影响.

主要方法:

  • 使用先进的cellenONE协议进行组织处理.
  • 雇佣的 Evosep ONE Whisper 缩放梯度 (每天20,40,80,120个样本).
  • 在timsUltra AIP质谱仪上使用了三种常见的数据独立采集 (DIA) 方案.

主要成果:

  • 组织类型,梯度长度和样本量显著影响蛋白质组覆盖范围.
  • 增加的组织采样为短梯度 (120/80 SPD) 带来了减少的回报,但对较长梯度 (40/20 SPD) 带来了实质性的收益.
  • 使用较长的梯度和较高的组织数量从0.5nL桃体T细胞中量化了超过7500种蛋白质;使用120 SPD方法从0.04nL量化了3200种蛋白质.

结论:

  • 开发的工作流允许每天准备和获取100多个高质量的空间组织蛋白质.
  • 这便于队列大小的空间组织蛋白质组学用于翻译研究.
  • 已证明适用于口腔状细胞癌,揭示疾病途径和特定区域的变化.