Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Center and Barnett Institute, Northeastern University, Boston, MA, USA.
Computational Systems Biochemistry Research Group, Max Planck Institute of Biochemistry, Martinsried, Germany.
Nat Methods. 2023 May;20(5):714-722. doi: 10.1038/s41592-023-01830-1. Epub 2023 Apr 3.
Major aims of single-cell proteomics include increasing the consistency, sensitivity and depth of protein quantification, especially for proteins and modifications of biological interest. Here, to simultaneously advance all these aims, we developed prioritized Single-Cell ProtEomics (pSCoPE). pSCoPE consistently analyzes thousands of prioritized peptides across all single cells (thus increasing data completeness) while maximizing instrument time spent analyzing identifiable peptides, thus increasing proteome depth. These strategies increased the sensitivity, data completeness and proteome coverage over twofold. The gains enabled quantifying protein variation in untreated and lipopolysaccharide-treated primary macrophages. Within each condition, proteins covaried within functional sets, including phagosome maturation and proton transport, similarly across both treatment conditions. This covariation is coupled to phenotypic variability in endocytic activity. pSCoPE also enabled quantifying proteolytic products, suggesting a gradient of cathepsin activities within a treatment condition. pSCoPE is freely available and widely applicable, especially for analyzing proteins of interest without sacrificing proteome coverage. Support for pSCoPE is available at http://scp.slavovlab.net/pSCoPE .
单细胞蛋白质组学的主要目标包括提高蛋白质定量的一致性、灵敏度和深度,特别是针对具有生物学意义的蛋白质和修饰物。在这里,为了同时推进所有这些目标,我们开发了优先单细胞蛋白质组学 (pSCoPE)。pSCoPE 一致地分析了所有单细胞中数千个优先肽(从而增加了数据完整性),同时最大限度地利用仪器时间分析可识别的肽,从而增加蛋白质组深度。这些策略提高了灵敏度、数据完整性和蛋白质组覆盖率两倍以上。这些增益使我们能够在未经处理和脂多糖处理的原代巨噬细胞中定量蛋白质变化。在每种条件下,功能集内的蛋白质都存在共变,包括吞噬体成熟和质子转运,在两种处理条件下也类似。这种共变与内吞活性的表型变异性相关。pSCoPE 还能够定量分析蛋白水解产物,表明在一种处理条件下存在组织蛋白酶活性的梯度。pSCoPE 是免费提供的,并且具有广泛的适用性,特别是在不牺牲蛋白质组覆盖率的情况下分析感兴趣的蛋白质。可在 http://scp.slavovlab.net/pSCoPE 获得对 pSCoPE 的支持。