Innovation - Mapping normal and cancer cell signalling networks: towards single-cell proteomics
Innovation - Mapping normal and cancer cell signalling networks: towards single-cell proteomics
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DOI：
10.1038/nrc1804
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发表时间：
2006-02-01
影响因子：
78.5
通讯作者：
Nolan, GP
中科院分区：
文献类型：
--
作者：
Irish, JM;Kotecha, N;Nolan, GP
肿瘤发生和肿瘤进展受到细胞信号传导改变的支持。使用流式细胞术，现在可以跟踪和分析单个癌细胞中的信号事件。来自这种类型的分析的数据可用于创建每个细胞中信号传导的网络图，并将特定的信号传导谱与临床结果联系起来。这种形式的“单细胞蛋白质组学”可以识别在治疗抗性细胞中激活的途径，并可以为癌症诊断和确定患者预后提供生物标志物。
Oncogenesis and tumour progression are supported by alterations in cell signalling. Using flow cytometry, it is now possible to track and analyse signalling events in individual cancer cells. Data from this type of analysis can be used to create a network map of signalling in each cell and to link specific signalling profiles with clinical outcomes. This form of 'single-cell proteomics' can identify pathways that are activated in therapy-resistant cells and can provide biomarkers for cancer diagnosis and for determining patient prognosis.