免疫标记
蛋白质组
多细胞生物
蛋白质亚细胞定位预测
互连性
计算机科学
生物
细胞生物学
生物物理学
计算生物学
细胞
生物信息学
生物化学
基因
人工智能
免疫组织化学
免疫学
作者
Taeyun Ku,Justin Swaney,Jeong Yoon Park,Alexandre Albanese,Evan Murray,Jaehun Cho,Young-Gyun Park,Vamsi Mangena,Jiapei Chen,Kwanghun Chung
摘要
The biology of multicellular organisms is coordinated across multiple size scales, from the subnanoscale of molecules to the macroscale, tissue-wide interconnectivity of cell populations. Here we introduce a method for super-resolution imaging of the multiscale organization of intact tissues. The method, called magnified analysis of the proteome (MAP), linearly expands entire organs fourfold while preserving their overall architecture and three-dimensional proteome organization. MAP is based on the observation that preventing crosslinking within and between endogenous proteins during hydrogel-tissue hybridization allows for natural expansion upon protein denaturation and dissociation. The expanded tissue preserves its protein content, its fine subcellular details, and its organ-scale intercellular connectivity. We use off-the-shelf antibodies for multiple rounds of immunolabeling and imaging of a tissue's magnified proteome, and our experiments demonstrate a success rate of 82% (100/122 antibodies tested). We show that specimen size can be reversibly modulated to image both inter-regional connections and fine synaptic architectures in the mouse brain.
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