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Comparative Analyses of Signature Genes in Acute Rejection and Operational Tolerance

Using biomarkers as prediction tools or therapeutic targets can be a valuable strategy in transplantation. Recent studies identified biomarkers of acute rejection (AR) and operational tolerance (TOL) through the application of meta-analysis. In this study, we comparatively analyzed the signature gen...

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Autores principales: Choi, Jeong-Woo, Kim, Yong-Hee, Oh, Ji Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Association of Immunologists 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577301/
https://www.ncbi.nlm.nih.gov/pubmed/28860953
http://dx.doi.org/10.4110/in.2017.17.4.237
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author Choi, Jeong-Woo
Kim, Yong-Hee
Oh, Ji Won
author_facet Choi, Jeong-Woo
Kim, Yong-Hee
Oh, Ji Won
author_sort Choi, Jeong-Woo
collection PubMed
description Using biomarkers as prediction tools or therapeutic targets can be a valuable strategy in transplantation. Recent studies identified biomarkers of acute rejection (AR) and operational tolerance (TOL) through the application of meta-analysis. In this study, we comparatively analyzed the signature genes in acute rejection and operational tolerance seen in human allogeneic transplantations using massive bioinformatical meta-analysis. To identify the signature genes in opposite immunological conditions, AR and TOL, we first collected the 1,252 gene expression data specifically intended for those circumstances. Then we excluded based on biological cut-values, Principal Component Analysis (PCA) as well as Multi-Dimensional Scaling (MDS). Using differentially expressed genes (DEGs) from meta-analysis, we then applied a ranked scoring system to identify the signature genes of AR and TOL. We identified 53 up-regulated and 32 down-regulated signature genes in acute rejection condition. Among them, ISG20, CXCL9, CXCL10, CCL19, FCER1G, PMSE1, UBD are highly expressed in AR condition. In operational tolerance, we identified 110 up-regulated and 48 down-regulated signature genes. TCL1A, BLNK, MS4A1, EBF1, IGHM are up-regulated in TOL condition. These genes are highly representative of AR or TOL across the different organs such as liver, kidney and heart. Since immune response is the sum of complex biological and molecular dynamics, these signature genes as well as pathway analysis using a systems biology approach could be used to catch the insights of the certain pathways that would be overlooked with the conventional gene-level comparative analysis.
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spelling pubmed-55773012017-08-31 Comparative Analyses of Signature Genes in Acute Rejection and Operational Tolerance Choi, Jeong-Woo Kim, Yong-Hee Oh, Ji Won Immune Netw Original Article Using biomarkers as prediction tools or therapeutic targets can be a valuable strategy in transplantation. Recent studies identified biomarkers of acute rejection (AR) and operational tolerance (TOL) through the application of meta-analysis. In this study, we comparatively analyzed the signature genes in acute rejection and operational tolerance seen in human allogeneic transplantations using massive bioinformatical meta-analysis. To identify the signature genes in opposite immunological conditions, AR and TOL, we first collected the 1,252 gene expression data specifically intended for those circumstances. Then we excluded based on biological cut-values, Principal Component Analysis (PCA) as well as Multi-Dimensional Scaling (MDS). Using differentially expressed genes (DEGs) from meta-analysis, we then applied a ranked scoring system to identify the signature genes of AR and TOL. We identified 53 up-regulated and 32 down-regulated signature genes in acute rejection condition. Among them, ISG20, CXCL9, CXCL10, CCL19, FCER1G, PMSE1, UBD are highly expressed in AR condition. In operational tolerance, we identified 110 up-regulated and 48 down-regulated signature genes. TCL1A, BLNK, MS4A1, EBF1, IGHM are up-regulated in TOL condition. These genes are highly representative of AR or TOL across the different organs such as liver, kidney and heart. Since immune response is the sum of complex biological and molecular dynamics, these signature genes as well as pathway analysis using a systems biology approach could be used to catch the insights of the certain pathways that would be overlooked with the conventional gene-level comparative analysis. Korean Association of Immunologists 2017-08 2017-08-28 /pmc/articles/PMC5577301/ /pubmed/28860953 http://dx.doi.org/10.4110/in.2017.17.4.237 Text en Copyright © 2017. The Korean Association of Immunologists https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Choi, Jeong-Woo
Kim, Yong-Hee
Oh, Ji Won
Comparative Analyses of Signature Genes in Acute Rejection and Operational Tolerance
title Comparative Analyses of Signature Genes in Acute Rejection and Operational Tolerance
title_full Comparative Analyses of Signature Genes in Acute Rejection and Operational Tolerance
title_fullStr Comparative Analyses of Signature Genes in Acute Rejection and Operational Tolerance
title_full_unstemmed Comparative Analyses of Signature Genes in Acute Rejection and Operational Tolerance
title_short Comparative Analyses of Signature Genes in Acute Rejection and Operational Tolerance
title_sort comparative analyses of signature genes in acute rejection and operational tolerance
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577301/
https://www.ncbi.nlm.nih.gov/pubmed/28860953
http://dx.doi.org/10.4110/in.2017.17.4.237
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