ArticleGenome medicine2016
Inter-tissue coexpression network analysis reveals DPP4 as an important gene in heart to blood communication.
Article in Genome medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed, 35 citations in OpenAlex.
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- A computational framework for detecting inter-tissue gene-expression coordination changes with aging.Scientific reports · 2025Article
- Alzheimer's disease rewires gene coexpression networks coupling different brain regions.NPJ systems biology and applications · 2024Article
- IntiCom-DB: A Manually Curated Database of Inter-Tissue Communication Molecules and Their Communication Routes.Biology · 2023Article
- Integrating Multimorbidity into a Whole-Body Understanding of Disease Using Spatial Genomics.Results and problems in cell differentiation · 2022Article
- Defining the Roles of Cardiokines in Human Aging and Age-Associated Diseases.Frontiers in aging · 2022Review
- Processing and Analysis of RNA-seq Data from Public Resources.Methods in molecular biology (Clifton, N.J.) · 2021Review
- CD14, CD163, and CCR1 are involved in heart and blood communication in ischemic cardiac diseases.The Journal of international medical research · 2020Article
- Comparison of brain connectomes by MRI and genomics and its implication in Alzheimer's disease.BMC medicine · 2020Article
- Hindlimb motor responses to unilateral brain injury: spinal cord encoding and left-right asymmetry.Brain communications · 2020Article
- Batch correction evaluation framework using a-priori gene-gene associations: applied to the GTEx dataset.BMC bioinformatics · 2019Article
- Systems-based approaches for investigation of inter-tissue communication.Journal of lipid research · 2019Review
- Using Network Pharmacology to Explore Potential Treatment Mechanism for Coronary Heart Disease Using Chuanxiong and Jiangxiang Essential Oils in Jingzhi Guanxin Prescriptions.Evidence-based complementary and alternative medicine : eCAM · 2019Article
- A Strategy for Discovery of Endocrine Interactions with Application to Whole-Body Metabolism.Cell metabolism · 2018Article
- THD-Module Extractor: An Application for CEN Module Extraction and Interesting Gene Identification for Alzheimer's Disease.Scientific reports · 2016Article
- Disease-specific classification using deconvoluted whole blood gene expression.Scientific reports · 2016Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
backgroundInter-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.
methodsWe 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.
resultsWe 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.
conclusionsIn 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.
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