EasySCP以单细胞蛋白质组学分辨率揭示了广泛的肝脏分区
EasySCP unveils extensive liver zonation at single-cell proteomics resolution.
摘要(中文译文)
单细胞蛋白质组学（SCP）在生物学中的更广泛应用受限于复杂的工作流程和对专用仪器的依赖。在此，我们提出EasySCP，一种高通量方法，整合了基于FACS的单细胞分选、384孔板中的一体化单步消化过程以及灵敏的质谱分析。EasySCP从单个HEK293细胞中鉴定出近5000种蛋白质。应用于雌性小鼠肝脏，EasySCP实现了对肝细胞分区化的空间信息蛋白质组学分析，每个肝细胞平均检测到3500种蛋白质，并在5267种蛋白质中揭示了3277种蛋白质的分区化模式。基于215个保守的分区化标志物，我们进一步开发了肝细胞空间状态评分（HSS），能够在单细胞和多组学数据集中重建肝脏分区化。总之，我们的研究介绍了EasySCP，一种广泛可及的工具，可在健康和疾病状态下以单细胞蛋白质组学分辨率解析细胞异质性，有效弥合了转录组学与功能蛋白质组学之间的差距。
Abstract
The broader application of single-cell proteomics (SCP) in biology has been limited by complex workflows and reliance on specialized instrumentation. Here we present EasySCP, a high-throughput method that integrates FACS-based single-cell sorting, an all-in-one, single-step digestion process in 384-well plates, and sensitive mass spectrometry. EasySCP identifies nearly 5000 proteins from individual HEK293 cell. Applied to female murine liver, EasySCP achieves spatially informed proteomics profiling of hepatocytes zonation, detecting an average of 3500 proteins per hepatocyte and uncovering zonation patterns for 3277 out of 5267 proteins. Building on 215 conserved zonation markers, we further develop hepatocyte spatial status score (HSS) that enables reconstruct liver zonation across single-cell and multi-omics datasets. Together, our study introduces EasySCP, a broadly accessible tool for dissecting cellular heterogeneity at single-cell proteomics resolution in both healthy and disease states, effectively bridging the gap between transcriptomics and functional proteomics.
如何引用
AMA
Bingbing Hao, Jinghui Wei, Jiaen Xu, Ying Fu, Qiaoyu Zou, Xu Wang, et al. EasySCP unveils extensive liver zonation at single-cell proteomics resolution.. Nature communications. 2026; doi:10.1038/s41467-026-74525-8.
APA
Bingbing Hao, Jinghui Wei, Jiaen Xu, Ying Fu, Qiaoyu Zou, Xu Wang, et al (2026). EasySCP unveils extensive liver zonation at single-cell proteomics resolution.. Nature communications. https://doi.org/10.1038/s41467-026-74525-8
GB/T 7714
Bingbing Hao, Jinghui Wei, Jiaen Xu, Ying Fu, Qiaoyu Zou, Xu Wang, et al. EasySCP unveils extensive liver zonation at single-cell proteomics resolution.[J]. Nature communications, 2026 doi:10.1038/s41467-026-74525-8.
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