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Microproteomics with microfluidic‐based cell sorting: Application to 1000 and 100 immune cells

机译:基于蛋白质组学的微蛋白质组学:应用于1000和100个免疫细胞

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摘要

Ultimately, cell biology seeks to define molecular mechanisms underlying cellular functions. However, heterogeneity within cell populations must be considered for optimal assay design and data interpretation. Although single‐cell analyses are desirable for addressing this issue, practical considerations, including assay sensitivity, limit their broad application. Therefore, omics studies on small numbers of cells in defined subpopulations represent a viable alternative for elucidating cell functions at the molecular level. MS‐based proteomics allows in‐depth proteome exploration, although analyses of small numbers of cells have not been pursued due to loss during the multistep procedure involved. Thus, optimization of the proteomics workflow to facilitate the analysis of rare cells would be useful. Here, we report a microproteomics workflow for limited numbers of immune cells using non‐damaging, microfluidic chip‐based cell sorting and MS‐based proteomics. Samples of 1000 or 100 THP‐1 cells were sorted, and after enzymatic digestion, peptide mixtures were subjected to nano‐LC‐MS analysis. We achieved reasonable proteome coverage from as few as 100‐sorted cells, and the data obtained from 1000‐sorted cells were as comprehensive as those obtained using 1 μg of whole cell lysate. With further refinement, our approach could be useful for studying cell subpopulations or limited samples, such as clinical specimens.
机译:最终,细胞生物学试图定义细胞功能的分子机制。但是,必须考虑细胞群体内的异质性,以实现最佳的测定设计和数据解释。尽管需要单细胞分析来解决此问题,但包括测定灵敏度在内的实际考虑因素限制了它们的广泛应用。因此,在确定的亚群中对少量细胞进行的组学研究代表了从分子水平阐明细胞功能的可行选择。基于MS的蛋白质组学可以进行深入的蛋白质组学探索,尽管由于涉及的多步操作过程中的损失,尚未进行少量细胞的分析。因此,优化蛋白质组学工作流程以促进稀有细胞的分析将是有用的。在这里,我们报告了一种微蛋白质组学工作流程,该流程使用非破坏性,基于微流体芯片的细胞分选和基于MS的蛋白质组学,用于有限数量的免疫细胞。对1000或100个THP-1细胞的样品进行了分类,酶消化后,对肽混合物进行了nano-LC-MS分析。我们从最少100个分类的细胞中获得了合理的蛋白质组覆盖率,从1000个分类的细胞中获得的数据与使用1μg全细胞裂解液获得的数据一样全面。通过进一步完善,我们的方法可能对研究细胞亚群或有限的样本(例如临床标本)有用。

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