Molecular Pattern Recognition Research Group, Medical Faculty, Otto-von-Guericke-University Magdeburg, Germany.
N Biotechnol. 2012 Jun 15;29(5):599-610. doi: 10.1016/j.nbt.2011.12.004. Epub 2011 Dec 21.
Functional super-resolution (fSR) microscopy is based on the automated toponome imaging system (TIS). fSR-TIS provides insight into the myriad of different cellular functionalities by direct imaging of large subcellular protein networks in morphologically intact cells and tissues, referred to as the toponome. By cyclical fluorescence imaging of at least 100 molecular cell components, fSR-TIS overcomes the spectral limitations of fluorescence microscopy, which is the essential condition for the detection of protein network structures in situ/in vivo. The resulting data sets precisely discriminate between cell types, subcellular structures, cell states and diseases (fSR). With up to 16 bits per protein, the power of combinatorial molecular discrimination (PCMD) is at least 2(100) per subcellular data point. It provides the dimensionality necessary to uncover thousands of distinct protein clusters including their subcellular hierarchies controlling protein network topology and function in the one cell or tissue section. Here we review the technology and findings showing that functional protein networks of the cell surface in different cancers encompass the same hierarchical and spatial coding principle, but express cancer-specific toponome codes within that scheme (referred to as TIS codes). Findings suggest that TIS codes, extracted from large-scale toponome data, have the potential to be next-generation biomarkers because of their cell type and disease specificity. This is functionally substantiated by the observation that blocking toponome-specific lead proteins results in disassembly of molecular networks and loss of function.
功能超分辨率(fSR)显微镜基于自动拓扑组像系统(TIS)。fSR-TIS 通过直接在形态完整的细胞和组织中对大型亚细胞蛋白质网络进行成像,提供了对无数不同细胞功能的深入了解,这些网络被称为拓扑组。通过至少 100 个分子细胞成分的周期性荧光成像,fSR-TIS 克服了荧光显微镜的光谱限制,这是原位/体内检测蛋白质网络结构的必要条件。所得数据集能够准确地区分细胞类型、亚细胞结构、细胞状态和疾病(fSR)。通过对每个蛋白质进行多达 16 位的编码,组合分子鉴别(PCMD)的能力至少为每个亚细胞数据点的 2(100)。它提供了必要的维度,以揭示数千个独特的蛋白质簇,包括控制蛋白质网络拓扑和功能的亚细胞层次结构,这些蛋白质簇在一个细胞或组织切片中。在这里,我们回顾了这项技术和相关发现,表明不同癌症中细胞表面的功能蛋白质网络包含相同的层次和空间编码原则,但在该方案中表达了癌症特异性的拓扑组代码(称为 TIS 代码)。研究结果表明,从大规模拓扑组数据中提取的 TIS 代码具有成为下一代生物标志物的潜力,因为它们具有细胞类型和疾病特异性。观察到阻断拓扑组特异性先导蛋白会导致分子网络解体和功能丧失,这从功能上证实了这一点。