Cyclic microchip assay for measurement of hundreds of functional proteins in single neurons

Liwei Yang, Avery Ball, Jesse Liu, Tanya Jain, Yue-Ming Li, Firoz Akhter, Donghui Zhu and Jun Wang ()
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Liwei Yang: Stony Brook University
Avery Ball: Stony Brook University
Jesse Liu: Stony Brook University
Tanya Jain: Memorial Sloan Kettering Cancer Center
Yue-Ming Li: Memorial Sloan Kettering Cancer Center
Firoz Akhter: Stony Brook University
Donghui Zhu: Stony Brook University
Jun Wang: Stony Brook University

Nature Communications, 2022, vol. 13, issue 1, 1-11

Abstract: Abstract Despite the fact that proteins carry out nearly all cellular functions and mark the differences of cells, the existing single-cell tools can only analyze dozens of proteins, a scale far from full characterization of cells and tissue yet. Herein, we present a single-cell cyclic multiplex in situ tagging (CycMIST) technology that affords the comprehensive functional proteome profiling of single cells. We demonstrate the technology by detecting 182 proteins that include surface markers, neuron function proteins, neurodegeneration markers, signaling pathway proteins, and transcription factors. Further studies on cells derived from the 5XFAD mice, an Alzheimer’s Disease (AD) model, validate the utility of our technology and reveal the deep heterogeneity of brain cells. Through comparison with control mouse cells, we have identified differentially expressed proteins in AD pathology. Our technology could offer new insights into cell machinery and thus may advance many fields including drug discovery, molecular diagnostics, and clinical studies.

Date: 2022
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DOI: 10.1038/s41467-022-31336-x

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