Graduate Institute of Integrated Medicine, China Medical University, Taichung, Taiwan.
Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
PLoS One. 2021 Oct 28;16(10):e0259201. doi: 10.1371/journal.pone.0259201. eCollection 2021.
Gene Set Enrichment Analysis (GSEA) is a powerful algorithm to determine biased pathways between groups based on expression profiling. However, for fruit fly, a popular animal model, gene matrixes for GSEA are unavailable. This study provides the pathway-targeting gene matrixes based on Reactome and KEGG database for fruit fly. An expression profiling containing neurons or glia of fruit fly was used to validate the feasibility of the generated gene matrixes. We validated the gene matrixes and identified characteristic neuronal and glial pathways, including mRNA splicing and endocytosis. In conclusion, we generated and validated the feasibility of Reactome and KEGG gene matrix files, which may benefit future profiling studies using Drosophila.
基因集富集分析(GSEA)是一种强大的算法,可根据表达谱确定组之间的偏向途径。然而,对于果蝇这种流行的动物模型,GSEA 的基因矩阵尚不可用。本研究基于 Reactome 和 KEGG 数据库提供了针对果蝇的靶向途径基因矩阵。使用包含果蝇神经元或神经胶质的表达谱来验证生成的基因矩阵的可行性。我们验证了基因矩阵并鉴定了特征性的神经元和神经胶质途径,包括 mRNA 剪接和内吞作用。总之,我们生成并验证了 Reactome 和 KEGG 基因矩阵文件的可行性,这可能有助于未来使用果蝇进行的分析研究。