Exploratory Meta-Analysis of Hypoxic Transcriptomes Using Precise Transcript Reference Sequence Set

Abstract

AbstractGene expression studies are intrinsically biased, with many studies influenced by concomitant information such as gene-disease associations. This limitation can be overcome using a data-driven analysis approach without relying on ancillary information. The FANTOM CAGE Associated Transcriptome (FANTOM-CAT) project provides a comprehensive meta-assembly of the human transcriptome using coding and non-coding genes. Hypoxia strongly influences gene expression; additionally, non-coding RNA (ncRNA) metabolism is downregulated in response to hypoxic stimuli. We evaluated the differential response of various transcripts to hypoxia by determining their hypoxia responsiveness scores. Enrichment analysis revealed that several genes associated with ncRNA metabolism, particularly those involved in ribosomal RNA processing, were downregulated in response to hypoxia. Previously published information from the FANTOM-CAT project was suitable for meta-analysis of the transcriptome sequencing data from both coding and ncRNAs, and evaluate the hypoxia responsiveness of target transcripts and relationship between sense-antisense transcripts from the same locus. Our results may facilitate functional annotation of various transcripts including ncRNAs, allowing for both sense and antisense and coding and non-coding evaluations.Summary blurbExploratory meta-analysis of hypoxic RNA-seq data using FANTOM-CAT as a reference transcriptome facilitates the evaluation of relationship between sense-antisense transcripts from the same locus.