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Inter-tissue coexpression network analysis reveals DPP4 as an important gene in heart to blood communication
BACKGROUND: Inter-tissue molecular interactions are critical to the function and behavior of biological systems in multicellular organisms, but systematic studies of interactions between tissues are lacking. Also, existing studies of inter-tissue interactions are based on direct gene expression corr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4746932/ https://www.ncbi.nlm.nih.gov/pubmed/26856537 http://dx.doi.org/10.1186/s13073-016-0268-1 |
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author | Long, Quan Argmann, Carmen Houten, Sander M. Huang, Tao Peng, Siwu Zhao, Yong Tu, Zhidong Zhu, Jun |
author_facet | Long, Quan Argmann, Carmen Houten, Sander M. Huang, Tao Peng, Siwu Zhao, Yong Tu, Zhidong Zhu, Jun |
author_sort | Long, Quan |
collection | PubMed |
description | BACKGROUND: Inter-tissue molecular interactions are critical to the function and behavior of biological systems in multicellular organisms, but systematic studies of interactions between tissues are lacking. Also, existing studies of inter-tissue interactions are based on direct gene expression correlations, which can’t distinguish correlations due to common genetic architectures versus biochemical or molecular signal exchange between tissues. METHODS: We developed a novel strategy to study inter-tissue interaction by removing effects of genetic regulation of gene expression (genetic decorrelation). We applied our method to the comprehensive atlas of gene expression across nine human tissues in the Genotype-Tissue Expression (GTEx) project to generate novel genetically decorrelated inter-tissue networks. From this we derived modules of genes important in inter-tissue interactions that are likely driven by biological signal exchange instead of their common genetic basis. Importantly we highlighted communication between tissues and elucidated gene activities in one tissue inducing gene expression changes in others. RESULTS: We reveal global unidirectional inter-tissue coordination of specific biological pathways such as protein synthesis. Using our data, we highlighted a clinically relevant example whereby heart expression of DPP4 was coordinated with a gene expression signature characteristic for whole blood proliferation, potentially impacting peripheral stem cell mobilization. We also showed that expression of the poorly characterized FOCAD in heart correlated with protein biosynthetic processes in the lung. CONCLUSIONS: In summary, this is the first resource of human multi-tissue networks enabling the investigation of molecular inter-tissue interactions. With the networks in hand, we may systematically design combination therapies that simultaneously target multiple tissues or pinpoint potential side effects of a drug in other tissues. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-016-0268-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4746932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47469322016-02-10 Inter-tissue coexpression network analysis reveals DPP4 as an important gene in heart to blood communication Long, Quan Argmann, Carmen Houten, Sander M. Huang, Tao Peng, Siwu Zhao, Yong Tu, Zhidong Zhu, Jun Genome Med Research BACKGROUND: Inter-tissue molecular interactions are critical to the function and behavior of biological systems in multicellular organisms, but systematic studies of interactions between tissues are lacking. Also, existing studies of inter-tissue interactions are based on direct gene expression correlations, which can’t distinguish correlations due to common genetic architectures versus biochemical or molecular signal exchange between tissues. METHODS: We developed a novel strategy to study inter-tissue interaction by removing effects of genetic regulation of gene expression (genetic decorrelation). We applied our method to the comprehensive atlas of gene expression across nine human tissues in the Genotype-Tissue Expression (GTEx) project to generate novel genetically decorrelated inter-tissue networks. From this we derived modules of genes important in inter-tissue interactions that are likely driven by biological signal exchange instead of their common genetic basis. Importantly we highlighted communication between tissues and elucidated gene activities in one tissue inducing gene expression changes in others. RESULTS: We reveal global unidirectional inter-tissue coordination of specific biological pathways such as protein synthesis. Using our data, we highlighted a clinically relevant example whereby heart expression of DPP4 was coordinated with a gene expression signature characteristic for whole blood proliferation, potentially impacting peripheral stem cell mobilization. We also showed that expression of the poorly characterized FOCAD in heart correlated with protein biosynthetic processes in the lung. CONCLUSIONS: In summary, this is the first resource of human multi-tissue networks enabling the investigation of molecular inter-tissue interactions. With the networks in hand, we may systematically design combination therapies that simultaneously target multiple tissues or pinpoint potential side effects of a drug in other tissues. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-016-0268-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-02-09 /pmc/articles/PMC4746932/ /pubmed/26856537 http://dx.doi.org/10.1186/s13073-016-0268-1 Text en © Long et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Long, Quan Argmann, Carmen Houten, Sander M. Huang, Tao Peng, Siwu Zhao, Yong Tu, Zhidong Zhu, Jun Inter-tissue coexpression network analysis reveals DPP4 as an important gene in heart to blood communication |
title | Inter-tissue coexpression network analysis reveals DPP4 as an important gene in heart to blood communication |
title_full | Inter-tissue coexpression network analysis reveals DPP4 as an important gene in heart to blood communication |
title_fullStr | Inter-tissue coexpression network analysis reveals DPP4 as an important gene in heart to blood communication |
title_full_unstemmed | Inter-tissue coexpression network analysis reveals DPP4 as an important gene in heart to blood communication |
title_short | Inter-tissue coexpression network analysis reveals DPP4 as an important gene in heart to blood communication |
title_sort | inter-tissue coexpression network analysis reveals dpp4 as an important gene in heart to blood communication |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4746932/ https://www.ncbi.nlm.nih.gov/pubmed/26856537 http://dx.doi.org/10.1186/s13073-016-0268-1 |
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