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Meta-Analysis of Transcriptomic Datasets Quantifies Differential Gene Expression, Affected Pathways, and Predicted Drugs from Hantavirus-Infected Human Material

2022-07-01

Abstract excerpt

<h4>Background: </h4> We performed a meta-analysis that consisted of re-analyzing publicly available RNA-sequencing datasets across representative species within Orthohantavirus and across host cell types to identify differentially expressed genes associated with hantavirus infection. In addition, we determined signaling pathways that were significantly perturbed in human tissue, as well as predicted existing drug...

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Literature Corpus work
30795f94-3d02-5935-a69f-8125963f82a6
DOI
10.21203/rs.3.rs-1766515/v1
Open publication

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Meta-Analysis of Transcriptomic Datasets Quantifies Differential Gene Expression, Affected Pathways, and Predicted Drugs from Hantavirus-Infected Human MaterialDOI 10.21203/rs.3.rs-1766515/v1
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