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Adaptation of Imaging Mass Cytometry to Explore the Single Cell Alloimmune Landscape of Liver Transplant Rejection

Rejection continues to be an important cause of graft loss in solid organ transplantation, but deep exploration of intragraft alloimmunity has been limited by the scarcity of clinical biopsy specimens. Emerging single cell immunoprofiling technologies have shown promise in discerning mechanisms of a...

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Autores principales: Ung, Nolan, Goldbeck, Cameron, Man, Cassandra, Hoeflich, Julianne, Sun, Ren, Barbetta, Arianna, Matasci, Naim, Katz, Jonathan, Lee, Jerry S. H., Chopra, Shefali, Asgharzadeh, Shahab, Warren, Mika, Sher, Linda, Kohli, Rohit, Akbari, Omid, Genyk, Yuri, Emamaullee, Juliet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009043/
https://www.ncbi.nlm.nih.gov/pubmed/35432320
http://dx.doi.org/10.3389/fimmu.2022.831103
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author Ung, Nolan
Goldbeck, Cameron
Man, Cassandra
Hoeflich, Julianne
Sun, Ren
Barbetta, Arianna
Matasci, Naim
Katz, Jonathan
Lee, Jerry S. H.
Chopra, Shefali
Asgharzadeh, Shahab
Warren, Mika
Sher, Linda
Kohli, Rohit
Akbari, Omid
Genyk, Yuri
Emamaullee, Juliet
author_facet Ung, Nolan
Goldbeck, Cameron
Man, Cassandra
Hoeflich, Julianne
Sun, Ren
Barbetta, Arianna
Matasci, Naim
Katz, Jonathan
Lee, Jerry S. H.
Chopra, Shefali
Asgharzadeh, Shahab
Warren, Mika
Sher, Linda
Kohli, Rohit
Akbari, Omid
Genyk, Yuri
Emamaullee, Juliet
author_sort Ung, Nolan
collection PubMed
description Rejection continues to be an important cause of graft loss in solid organ transplantation, but deep exploration of intragraft alloimmunity has been limited by the scarcity of clinical biopsy specimens. Emerging single cell immunoprofiling technologies have shown promise in discerning mechanisms of autoimmunity and cancer immunobiology. Within these applications, Imaging Mass Cytometry (IMC) has been shown to enable highly multiplexed, single cell analysis of immune phenotypes within fixed tissue specimens. In this study, an IMC panel of 10 validated markers was developed to explore the feasibility of IMC in characterizing the immune landscape of chronic rejection (CR) in clinical tissue samples obtained from liver transplant recipients. IMC staining was highly specific and comparable to traditional immunohistochemistry. A single cell segmentation analysis pipeline was developed that enabled detailed visualization and quantification of 109,245 discrete cells, including 30,646 immune cells. Dimensionality reduction identified 11 unique immune subpopulations in CR specimens. Most immune subpopulations were increased and spatially related in CR, including two populations of CD45+/CD3+/CD8+ cytotoxic T-cells and a discrete CD68+ macrophage population, which were not observed in liver with no rejection (NR). Modeling via principal component analysis and logistic regression revealed that single cell data can be utilized to construct statistical models with high consistency (Wilcoxon Rank Sum test, p=0.000036). This study highlights the power of IMC to investigate the alloimmune microenvironment at a single cell resolution during clinical rejection episodes. Further validation of IMC has the potential to detect new biomarkers, identify therapeutic targets, and generate patient-specific predictive models of clinical outcomes in solid organ transplantation.
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spelling pubmed-90090432022-04-15 Adaptation of Imaging Mass Cytometry to Explore the Single Cell Alloimmune Landscape of Liver Transplant Rejection Ung, Nolan Goldbeck, Cameron Man, Cassandra Hoeflich, Julianne Sun, Ren Barbetta, Arianna Matasci, Naim Katz, Jonathan Lee, Jerry S. H. Chopra, Shefali Asgharzadeh, Shahab Warren, Mika Sher, Linda Kohli, Rohit Akbari, Omid Genyk, Yuri Emamaullee, Juliet Front Immunol Immunology Rejection continues to be an important cause of graft loss in solid organ transplantation, but deep exploration of intragraft alloimmunity has been limited by the scarcity of clinical biopsy specimens. Emerging single cell immunoprofiling technologies have shown promise in discerning mechanisms of autoimmunity and cancer immunobiology. Within these applications, Imaging Mass Cytometry (IMC) has been shown to enable highly multiplexed, single cell analysis of immune phenotypes within fixed tissue specimens. In this study, an IMC panel of 10 validated markers was developed to explore the feasibility of IMC in characterizing the immune landscape of chronic rejection (CR) in clinical tissue samples obtained from liver transplant recipients. IMC staining was highly specific and comparable to traditional immunohistochemistry. A single cell segmentation analysis pipeline was developed that enabled detailed visualization and quantification of 109,245 discrete cells, including 30,646 immune cells. Dimensionality reduction identified 11 unique immune subpopulations in CR specimens. Most immune subpopulations were increased and spatially related in CR, including two populations of CD45+/CD3+/CD8+ cytotoxic T-cells and a discrete CD68+ macrophage population, which were not observed in liver with no rejection (NR). Modeling via principal component analysis and logistic regression revealed that single cell data can be utilized to construct statistical models with high consistency (Wilcoxon Rank Sum test, p=0.000036). This study highlights the power of IMC to investigate the alloimmune microenvironment at a single cell resolution during clinical rejection episodes. Further validation of IMC has the potential to detect new biomarkers, identify therapeutic targets, and generate patient-specific predictive models of clinical outcomes in solid organ transplantation. Frontiers Media S.A. 2022-03-31 /pmc/articles/PMC9009043/ /pubmed/35432320 http://dx.doi.org/10.3389/fimmu.2022.831103 Text en Copyright © 2022 Ung, Goldbeck, Man, Hoeflich, Sun, Barbetta, Matasci, Katz, Lee, Chopra, Asgharzadeh, Warren, Sher, Kohli, Akbari, Genyk and Emamaullee https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Ung, Nolan
Goldbeck, Cameron
Man, Cassandra
Hoeflich, Julianne
Sun, Ren
Barbetta, Arianna
Matasci, Naim
Katz, Jonathan
Lee, Jerry S. H.
Chopra, Shefali
Asgharzadeh, Shahab
Warren, Mika
Sher, Linda
Kohli, Rohit
Akbari, Omid
Genyk, Yuri
Emamaullee, Juliet
Adaptation of Imaging Mass Cytometry to Explore the Single Cell Alloimmune Landscape of Liver Transplant Rejection
title Adaptation of Imaging Mass Cytometry to Explore the Single Cell Alloimmune Landscape of Liver Transplant Rejection
title_full Adaptation of Imaging Mass Cytometry to Explore the Single Cell Alloimmune Landscape of Liver Transplant Rejection
title_fullStr Adaptation of Imaging Mass Cytometry to Explore the Single Cell Alloimmune Landscape of Liver Transplant Rejection
title_full_unstemmed Adaptation of Imaging Mass Cytometry to Explore the Single Cell Alloimmune Landscape of Liver Transplant Rejection
title_short Adaptation of Imaging Mass Cytometry to Explore the Single Cell Alloimmune Landscape of Liver Transplant Rejection
title_sort adaptation of imaging mass cytometry to explore the single cell alloimmune landscape of liver transplant rejection
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009043/
https://www.ncbi.nlm.nih.gov/pubmed/35432320
http://dx.doi.org/10.3389/fimmu.2022.831103
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