使用DROPPS生成高保真蛋白质组学图谱的方案。
Protocol for generating high-fidelity proteomic profiles using DROPPS.
作者信息
Waas Matthew, Govindarajan Meinusha, Khoo Amanda, Zuo Charlotte, Aastha Aastha, He Jilin, Woolman Michael, Ha Annie, Lin Brian, Kislinger Thomas
机构信息
Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada.
Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada.
出版信息
STAR Protoc. 2024 Dec 20;5(4):103397. doi: 10.1016/j.xpro.2024.103397. Epub 2024 Oct 18.
Deep mass spectrometry-based proteomic profiling of rare cell populations has been constrained by sample input requirements. Here, we present a protocol for droplet-based one-pot preparation for proteomic samples (DROPPS), an accessible low-input platform that generates high-fidelity proteomic profiles of 100-2,500 cells. We describe steps for depositing cellular material, cell lysis, and digesting proteins in the same microliter-droplet well. We anticipate DROPPS will accelerate biology-driven proteomic research for a multitude of rare cell populations. For complete details on the use and execution of this protocol, please refer to Waas et al..
基于质谱的稀有细胞群体深度蛋白质组分析一直受到样品输入要求的限制。在此，我们提出了一种基于液滴的蛋白质组样品一锅法制备方案（DROPPS），这是一个易于使用的低输入平台，可生成100 - 2500个细胞的高保真蛋白质组图谱。我们描述了在同一微升液滴孔中沉积细胞材料、细胞裂解和消化蛋白质的步骤。我们预计DROPPS将加速针对多种稀有细胞群体的生物学驱动的蛋白质组学研究。有关此方案的使用和执行的完整详细信息，请参考瓦斯等人的研究。
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