Multiplexed protein profiling reveals spatial subcellular signaling networks.

Multiplexed protein profiling reveals spatial subcellular signaling networks.
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DOI:
10.1016/j.isci.2022.104980
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发表时间:
2022-09-16
期刊:
影响因子:
5.8
通讯作者:
Coskun, Ahmet F.
Coskun, Ahmet F.
中科院分区:
综合性期刊2区
文献类型:
--
作者:
Cai, Shuangyi;Hu, Thomas;Venkatesan, Mythreye;Allam, Mayar;Schneider, Frank;Ramalingam, Suresh S.;Sun, Shi-Yong;Coskun, Ahmet F.

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Protein-protein interaction networks are altered in multi-gene dysregulations in many disorders. Image-based protein multiplexing sheds light on signaling pathways to dissect cell-to-cell heterogeneity, previously masked by the bulk assays. Herein, we present a rapid multiplexed immunofluorescence (RapMIF) method measuring up to 25-plex spatial protein maps from cultures and tissues at subcellular resolution, providing combinatorial 272 pairwise and 1,360 tri-protein signaling states across 33 multiplexed pixel-level clusters. The RapMIF pipeline automated staining, bleaching, and imaging of the biospecimens in a single platform. RapMIF showed that WNT/β-catenin signaling upregulated upon the inhibition of the AKT/mTOR pathway. Subcellular protein images demonstrated translocation patterns, spatial receptor discontinuity, and subcellular signaling clusters in single cells. Signaling networks exhibited spatial redistribution of signaling proteins in drug-responsive cultures. Machine learning analysis predicted the phosphorylated β-catenin expression from interconnected signaling protein images. RapMIF is an ideal signaling discovery approach for precision therapy design. Pixel clustering maps revealed the neighborhood of signaling proteins Osimertinib downregulated p-AKT and inhibited cell proliferation and survival Multiplexed profiling dissects signaling networks for drug response prediction Biological sciences; Biotechnology; Biological sciences research methodologies; Biology experimental methods
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