多细胞生物
细胞骨架
计算生物学
生物
细胞器
细胞生物学
人口
多路复用
细胞
计算机科学
蛋白质亚细胞定位预测
亚细胞定位
细胞质
生物化学
社会学
人口学
基因
电信
作者
Gabriele Gut,Markus D. Herrmann,Lucas Pelkmans
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2018-08-03
卷期号:361 (6401)
被引量:537
标识
DOI:10.1126/science.aar7042
摘要
Making multiplexed subcellular protein maps Being able to visualize protein localizations within cells and tissues by means of immuno-fluorescence microscopy has been key to developments in cell biology and beyond. Gut et al. present a high-throughput method that achieves the detection of more than 40 different proteins in biological samples across multiple spatial scales. This allows the simultaneous quantification of their expression levels in thousands of single cells; captures their detailed subcellular distribution to various compartments, organelles, and cellular structures within each of these single cells; and places all this information within a multicellular context. Such a scale-crossing dataset empowers artificial intelligence–based computer vision algorithms to achieve a comprehensive profiling of intracellular protein maps to measure their responses to different multicellular, cellular, and pharmacological contexts, and to reveal new cellular states. Science , this issue p. eaar7042
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