PT  - JOURNAL ARTICLE
AU  - Revanth Reddy
AU  - Liwei Yang
AU  - Jesse Liu
AU  - Zhuojie Liu
AU  - Jun Wang
TI  - Spatial MIST Technology for Rapid, Highly Multiplexed Detection of Protein Distribution on Brain Tissue
AID  - 10.1101/2022.01.11.475923
DP  - 2022 Jan 01
TA  - bioRxiv
PG  - 2022.01.11.475923
4099  - http://biorxiv.org/content/early/2022/01/12/2022.01.11.475923.short
4100  - http://biorxiv.org/content/early/2022/01/12/2022.01.11.475923.full
AB  - 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 StatementThe authors have declared no competing interest.