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Single Cell Proteome Mapping of Tissue Heterogeneity Using Microfluidic Nanodroplet Sample Processing and Ultrasensitive LC-MS

机译:单细胞蛋白质组图的组织异质性使用微流控纳米液滴样品处理和超灵敏的LC-MS

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摘要

Biological tissues are highly heterogeneous, consisting of a variety of cell types, subpopulations, and substructures. Understanding heterogeneity at the single cell level is of great interest for biomedical research. While MS-based proteomic analyses are capable of quantifying thousands of proteins, the extension to single cell studies has been largely ineffective. This is primarily due to the large sample losses incurred during sample preparation procedures. We have developed nanoPOTS (Nanodroplet Processing in One-pot for Trace Samples), which significantly minimize sample losses during proteomic preparation. nanoPOTS utilizes a robotic platform to dispense nanoliter volumes of reagents into photolithographically patterned nanowell reaction vessels. Sample preparation utilizes a novel workflow that eliminates the need for multiple reaction vessels and cleanup steps to process cellular tissue into purified tryptic peptides. Single cells can be isolated into nanowells by fluorescence-activated cell sorting (FACS) or laser capture dissection (LCM), processed, and analyzed with low-flow nanoLC Orbitrap mass spectrometry. To date, we have identified >3,000 protein groups from as few as 10 HeLa cells, which is a level of proteome coverage not previously achieved from fewer than thousands of cells, and ∼700 proteins have been identified from single mammalian cells. To enable high-resolution tissue mapping, we developed an automated method to couple LCM with nanoPOTS. This approach is capable of quantifying ∼2000 proteins in 100-µm tissue voxels. We used this approach to study protein expression difference in single pancreas islets from healthy and Type 1 Diabetes human donors. More recently, a high-resolution mapping method was built to generate protein expression images of mouse uterine tissue sections for blastocyst implantation. The ability to map the proteome with high spatial resolution across tissue regions provides a fundamental way to understand the tissue microenvironment, substructure, and cellular organization from a global proteome perspective.
机译:生物组织高度异质,由各种细胞类型,亚群和亚结构组成。对于生物医学研究,在单细胞水平上了解异质性非常重要。尽管基于MS的蛋白质组学分析能够定量分析数千种蛋白质,但扩展到单细胞研究一直没有效果。这主要是由于在样品制备过程中样品损失很大。我们已经开发了nanoPOTS(用于痕量样品的一锅纳滴处理),可在蛋白质组学制备过程中最大程度地减少样品损失。 nanoPOTS利用机器人平台将纳升量的试剂分配到光刻图案化的纳孔反应容器中。样品制备利用新颖的工作流程,无需多个反应容器和清理步骤即可将细胞组织加工成纯化的胰蛋白酶肽。可以通过荧光激活细胞分选(FACS)或激光捕获解剖(LCM)将单细胞分离到纳孔中,进行处理,并用低流量nanoLC Orbitrap质谱仪进行分析。迄今为止,我们已经从最少10个HeLa细胞中鉴定出超过3,000个蛋白质组,这是蛋白质组学覆盖率的水平,以前从未从少于数千个细胞中实现,并且已经从单个哺乳动物细胞中鉴定出约700个蛋白质。为了实现高分辨率组织标测,我们开发了一种将LCM与nanoPOTS结合的自动化方法。这种方法能够定量100 µm组织体素中的2000种蛋白质。我们使用这种方法来研究来自健康人和1型糖尿病人供体的单个胰岛中蛋白质表达的差异。最近,建立了高分辨率映射方法以生成用于胚泡植入的小鼠子宫组织切片的蛋白质表达图像。跨组织区域以高空间分辨率绘制蛋白质组图的能力提供了从全局蛋白质组的角度了解组织微环境,亚结构和细胞组织的基本方法。

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