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Single-Cell Spatial MIST for Versatile, Scalable Detection of Protein Markers

High-multiplex detection of protein biomarkers across tissue regions has been an attractive spatial biology approach due to significant advantages over traditional immunohistochemistry (IHC) methods. Different from most methods, spatial multiplex in situ tagging (MIST) transfers the spatial protein...

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Autores principales: Meah, Arafat, Vedarethinam, Vadanasundari, Bronstein, Robert, Gujarati, Nehaben, Jain, Tanya, Mallipattu, Sandeep K., Li, Yueming, Wang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526469/
https://www.ncbi.nlm.nih.gov/pubmed/37754086
http://dx.doi.org/10.3390/bios13090852
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author Meah, Arafat
Vedarethinam, Vadanasundari
Bronstein, Robert
Gujarati, Nehaben
Jain, Tanya
Mallipattu, Sandeep K.
Li, Yueming
Wang, Jun
author_facet Meah, Arafat
Vedarethinam, Vadanasundari
Bronstein, Robert
Gujarati, Nehaben
Jain, Tanya
Mallipattu, Sandeep K.
Li, Yueming
Wang, Jun
author_sort Meah, Arafat
collection PubMed
description High-multiplex detection of protein biomarkers across tissue regions has been an attractive spatial biology approach due to significant advantages over traditional immunohistochemistry (IHC) methods. Different from most methods, spatial multiplex in situ tagging (MIST) transfers the spatial protein expression information to an ultrahigh-density, large-scale MIST array. This technique has been optimized to reach single-cell resolution by adoption of smaller array units and 30% 8-arm PEG polymer as transfer medium. Tissue cell nuclei stained with lamin B have been clearly visualized on the MIST arrays and are colocalized with detection of nine mouse brain markers. Pseudocells defined at 10 μm in size have been used to fully profile tissue regions including cells and the intercellular space. We showcased the versatility of our technology by successfully detecting 20 marker proteins in kidney samples with the addition of five minutes atop the duration of standard immunohistochemistry protocols. Spatial MIST is amenable to iterative staining and detection on the same tissue samples. When 25 proteins were co-detected on 1 mouse brain section for each round and 5 rounds were executed, an ultrahigh multiplexity of 125 proteins was obtained for each pseudocell. With its unique abilities, this single-cell spatial MIST technology has the potential to become an important method in advanced diagnosis of complex diseases.
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spelling pubmed-105264692023-09-28 Single-Cell Spatial MIST for Versatile, Scalable Detection of Protein Markers Meah, Arafat Vedarethinam, Vadanasundari Bronstein, Robert Gujarati, Nehaben Jain, Tanya Mallipattu, Sandeep K. Li, Yueming Wang, Jun Biosensors (Basel) Article High-multiplex detection of protein biomarkers across tissue regions has been an attractive spatial biology approach due to significant advantages over traditional immunohistochemistry (IHC) methods. Different from most methods, spatial multiplex in situ tagging (MIST) transfers the spatial protein expression information to an ultrahigh-density, large-scale MIST array. This technique has been optimized to reach single-cell resolution by adoption of smaller array units and 30% 8-arm PEG polymer as transfer medium. Tissue cell nuclei stained with lamin B have been clearly visualized on the MIST arrays and are colocalized with detection of nine mouse brain markers. Pseudocells defined at 10 μm in size have been used to fully profile tissue regions including cells and the intercellular space. We showcased the versatility of our technology by successfully detecting 20 marker proteins in kidney samples with the addition of five minutes atop the duration of standard immunohistochemistry protocols. Spatial MIST is amenable to iterative staining and detection on the same tissue samples. When 25 proteins were co-detected on 1 mouse brain section for each round and 5 rounds were executed, an ultrahigh multiplexity of 125 proteins was obtained for each pseudocell. With its unique abilities, this single-cell spatial MIST technology has the potential to become an important method in advanced diagnosis of complex diseases. MDPI 2023-08-27 /pmc/articles/PMC10526469/ /pubmed/37754086 http://dx.doi.org/10.3390/bios13090852 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Meah, Arafat
Vedarethinam, Vadanasundari
Bronstein, Robert
Gujarati, Nehaben
Jain, Tanya
Mallipattu, Sandeep K.
Li, Yueming
Wang, Jun
Single-Cell Spatial MIST for Versatile, Scalable Detection of Protein Markers
title Single-Cell Spatial MIST for Versatile, Scalable Detection of Protein Markers
title_full Single-Cell Spatial MIST for Versatile, Scalable Detection of Protein Markers
title_fullStr Single-Cell Spatial MIST for Versatile, Scalable Detection of Protein Markers
title_full_unstemmed Single-Cell Spatial MIST for Versatile, Scalable Detection of Protein Markers
title_short Single-Cell Spatial MIST for Versatile, Scalable Detection of Protein Markers
title_sort single-cell spatial mist for versatile, scalable detection of protein markers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526469/
https://www.ncbi.nlm.nih.gov/pubmed/37754086
http://dx.doi.org/10.3390/bios13090852
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