Data accumulation in public databases has resulted in extensive use of meta-analysis, a statistical analysis that combines the results of multiple studies . Oxidative stress occurs when there is an imbalance between free radical activity and antioxidant activity, which can be studied in insects by transcriptome analysis . This study aimed to apply a meta-analysis approach to evaluate insect oxidative transcriptomes using publicly available data . We collected oxidative stress response-related RNA sequencing (RNA-seq) data for a wide variety of insect species, mainly from public gene expression databases, by manual curation . Only RNA-seq data of Drosophila melanogaster were found and were systematically analyzed using a newly developed RNA-seq analysis workflow for species without a reference genome sequence . The results were evaluated by two metric methods to construct a reference dataset for oxidative stress response studies . Many genes were found to be downregulated under oxidative stress and related to organ system process (GO:0003008) and adherens junction organization (GO:0034332) by gene enrichment analysis . A cross-species analysis was also performed . RNA-seq data of Caenorhabditis elegans were curated, since no RNA-seq data of insect species are currently available in public databases . This method, including the workflow developed, represents a powerful tool for deciphering conserved networks in oxidative stress response.
Index: RNA-seq, insect, meta-analysis, oxidative stress, public database, transcriptome