Comparison of Oxidative and Hypoxic Stress Responsive Genes from Meta-Analysis of Public Transcriptomes
| Autor: | Hidemasa Bono, Yoko Ono, Takayuki Suzuki |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
QH301-705.5
hypoxia Cell Medicine (miscellaneous) Oxidative phosphorylation Computational biology Hypoxia (medical) Biology medicine.disease_cause General Biochemistry Genetics and Molecular Biology oxidative stress RNA-seq meta-analysis Article Transcriptome medicine.anatomical_structure Downregulation and upregulation Gene expression medicine Biology (General) medicine.symptom Gene Oxidative stress |
| Zdroj: | Biomedicines Biomedicines; Volume 9; Issue 12; Pages: 1830 Biomedicines, Vol 9, Iss 1830, p 1830 (2021) |
| ISSN: | 2227-9059 |
| Popis: | Analysis of RNA-sequencing (RNA-seq) data is an effective means to analyze the gene expression levels under specific conditions and discover new biological knowledge. More than 74000 experimental series with RNA-seq have been stored in public databases as of October 20, 2021. Since this huge amount of expression data accumulated from past studies is a promising source of new biological insights, we focused on a meta-analysis of 1783 runs of RNA-seq data under the conditions of two types of stresses: oxidative stress (OS) and hypoxia. The collected RNA-seq data of OS were organized as the OS dataset to retrieve and analyze differentially expressed genes (DEGs). The OS-induced DEGs were compared with the hypoxia-induced DEGs retrieved from a previous study. The results from the meta-analysis of OS transcriptomes revealed two genes, CRIP1 and CRIP3, which were particularly downregulated, suggesting a relationship between OS and zinc homeostasis. The comparison between meta-analysis of OS and hypoxia showed that several genes were differentially expressed under both stress conditions, and it was inferred that the downregulation of cell cycle-related genes is a mutual biological process in both OS and hypoxia. |
| Databáze: | OpenAIRE |
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