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Spatial MIST Technology for Rapid, Highly Multiplexed Detection of Protein Distribution on Brain Tissue

Revanth Reddy, Liwei Yang, Jesse Liu, Zhuojie Liu, Jun Wang
doi: https://doi.org/10.1101/2022.01.11.475923
Revanth Reddy
1Multiplex Biotechnology Laboratory, Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, NY 11794
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Liwei Yang
1Multiplex Biotechnology Laboratory, Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, NY 11794
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Jesse Liu
1Multiplex Biotechnology Laboratory, Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, NY 11794
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Zhuojie Liu
1Multiplex Biotechnology Laboratory, Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, NY 11794
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Jun Wang
1Multiplex Biotechnology Laboratory, Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, NY 11794
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  • For correspondence: jun.wang.5@stonybrook.edu
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Abstract

Highly multiplexed analysis of biospecimens significantly advances the understanding of biological basics of diseases, but these techniques are limited by the number of multiplexity and the speed of processing. Here, we present a rapid multiplex method for quantitative detection of protein markers on brain sections with the cellular resolution. This spatial multiplex in situ tagging (MIST) technology is built upon a MIST microarray that contains millions of small microbeads carrying barcoded oligonucleotides. Using antibodies tagged with UV cleavable oligonucleotides, the distribution of protein markers on a tissue slice could be “printed” on the MIST microarray with high fidelity. The performance of this technology in detection sensitivity, resolution and signal-to-noise level has been fully characterized by detecting brain cell markers. We showcase the codetection of 31 proteins simultaneously within 2 h which is about 10 times faster than the other immunofluorescence-based approaches of similar multiplexity. A full set of computational toolkits was developed to segment the small regions and identify the regional differences across the entire mouse brain. This technique enables us to rapidly and conveniently detect dozens of biomarkers on a tissue specimen, and it can find broad applications in clinical pathology and disease mechanistic studies.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted January 13, 2022.
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Spatial MIST Technology for Rapid, Highly Multiplexed Detection of Protein Distribution on Brain Tissue
Revanth Reddy, Liwei Yang, Jesse Liu, Zhuojie Liu, Jun Wang
bioRxiv 2022.01.11.475923; doi: https://doi.org/10.1101/2022.01.11.475923
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Spatial MIST Technology for Rapid, Highly Multiplexed Detection of Protein Distribution on Brain Tissue
Revanth Reddy, Liwei Yang, Jesse Liu, Zhuojie Liu, Jun Wang
bioRxiv 2022.01.11.475923; doi: https://doi.org/10.1101/2022.01.11.475923

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