VExD: a curated resource for human gene expression alterations following viral infection

Author:

Dexheimer Phillip J12ORCID,Pujato Mario1,Roskin Krishna M134,Weirauch Matthew T456

Affiliation:

1. Division of Biomedical Informatics, Cincinnati Children's Hospital , Cincinnati, OH 45229 , USA

2. Department of Biomedical Informatics, University of Cincinnati College of Medicine , Cincinnati, OH 45221 , USA

3. Division of Immunobiology, Cincinnati Children's Hospital , Cincinnati, OH 45229 , USA

4. Department of Pediatrics, University of Cincinnati College of Medicine , Cincinnati, OH 45221 , USA

5. Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital , Cincinnati, OH 45229 , USA

6. Divisions of Human Genetics, Biomedical Informatics and Developmental Biology, Cincinnati Children's Hospital , Cincinnati, OH 45229 , USA

Abstract

Abstract Much of the host antiviral response is mediated through changes to host gene expression levels. Likewise, viruses induce changes to host gene expression levels in order to promote the viral life cycle and evade the host immune system. However, there is no resource that specifically collects human gene expression levels pre- and post-virus infection. Further, public gene expression repositories do not contain enough specialized metadata to easily find relevant experiments. Here, we present the Virus Expression Database (VExD), a freely available website and database, that collects human gene expression datasets in response to viral infection. VExD contains ∼8,000 uniformly processed samples obtained from 289 studies examining 51 distinct human viruses. We show that the VExD processing pipeline captures known antiviral responses in the form of interferon-stimulated genes. We further show that the datasets collected in VExD can be used to quickly identify supporting data for experiments performed in human cells or model organisms. VExD is freely available at https://vexd.cchmc.org/.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology

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