转录组
原位
蛋白质组学
计算生物学
流式细胞术
化学
细胞生物学
质量细胞仪
质谱法
核糖核酸
蛋白质组
蛋白质表达
补语(音乐)
生物
基因表达
生物物理学
细胞
蛋白质亚细胞定位预测
定量蛋白质组学
生物化学
蛋白质-蛋白质相互作用
高分辨率
基因
钥匙(锁)
分子生物学
补体系统
蛋白质生物合成
信使核糖核酸
作者
Jocelyn S. Baker,Neica I. Joseph,Alison Lao,Julea Vlassakis
标识
DOI:10.1146/annurev-anchem-101724-105925
摘要
Single-cell proteomics (scP) is a crucial complement to transcriptomics, offering deeper insight into cellular heterogeneity, disease mechanisms, and therapeutic vulnerabilities in samples such as 2D cell culture, 3D models, and patient tissue. While transcriptomics enables high-throughput gene expression characterization, RNA levels frequently do not correlate with protein levels even in the same cell. Furthermore, protein isoforms, posttranslational modifications, and complexes are missed by transcriptomic analyses. This review explores modern scP technologies, including flow and mass cytometry, single-cell mass spectrometry, immunohistochemistry, cyclic imaging, and imaging mass cytometry applied to both dissociated and spatially preserved samples. We emphasize applying these techniques to organ-on-a-chip, organoids, spheroids, and intact tissues, highlighting advances in spatial resolution and multiplexing. We also discuss the trade-offs between throughput, spatial fidelity, and protein selectivity across platforms. Finally, we identify key measurement gaps, suggesting future directions toward spatially resolved scP clinical translation.
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