Sarah Barakat, Fan Yang, Hayriye Ecem Yelkenci, Kıvanç Kök, Giovanni E Mann, Emrah Eroğlu
{"title":"不同氧水平下脑微血管内皮细胞的蛋白质组学数据和药物意义。","authors":"Sarah Barakat, Fan Yang, Hayriye Ecem Yelkenci, Kıvanç Kök, Giovanni E Mann, Emrah Eroğlu","doi":"10.1038/s41597-025-05160-z","DOIUrl":null,"url":null,"abstract":"<p><p>Hyperoxia in standard cell cultures (18 kPa O<sub>2</sub>) imposes cellular oxidative stress, potentially skewing research and drug screening outcomes. Cerebral microvascular endothelial cells (hCMEC/D3) experience no more than 7 kPa O<sub>2</sub> in vivo. In this study, hCMEC/D3 cells were adapted to 5 kPa O<sub>2</sub> for 5 days to optimize an in vitro physiological cell culture model. Using a SYNAPT G2-Si mass spectrometer, we compared the proteomic profiles of cells cultured under 5 kPa versus 18 kPa O<sub>2</sub>. A substantial proteomic shift under hyperoxia highlighted the strong impact of oxygen levels on protein expression. We further investigated the effect of oxygen levels on drug screening using sulforaphane (SFN), an inducer of NRF2-regulated antioxidant defense genes. SFN induced more pronounced changes in proteomic profiles under 18 kPa O<sub>2</sub> compared to 5 kPa, indicating oxygen-dependent cellular drug responses. This dataset offers a valuable resource for analyzing oxygen-sensitive proteomic changes. Comparative studies using different drugs or cell types could further elucidate oxygen-dependent signaling and inform the development of therapies aligned with physiological oxygen levels.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"989"},"PeriodicalIF":5.8000,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12162840/pdf/","citationCount":"0","resultStr":"{\"title\":\"Proteomic Data and Drug Implications for Cerebral Microvascular Endothelial Cells Under Varying Oxygen Levels.\",\"authors\":\"Sarah Barakat, Fan Yang, Hayriye Ecem Yelkenci, Kıvanç Kök, Giovanni E Mann, Emrah Eroğlu\",\"doi\":\"10.1038/s41597-025-05160-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Hyperoxia in standard cell cultures (18 kPa O<sub>2</sub>) imposes cellular oxidative stress, potentially skewing research and drug screening outcomes. Cerebral microvascular endothelial cells (hCMEC/D3) experience no more than 7 kPa O<sub>2</sub> in vivo. In this study, hCMEC/D3 cells were adapted to 5 kPa O<sub>2</sub> for 5 days to optimize an in vitro physiological cell culture model. Using a SYNAPT G2-Si mass spectrometer, we compared the proteomic profiles of cells cultured under 5 kPa versus 18 kPa O<sub>2</sub>. A substantial proteomic shift under hyperoxia highlighted the strong impact of oxygen levels on protein expression. We further investigated the effect of oxygen levels on drug screening using sulforaphane (SFN), an inducer of NRF2-regulated antioxidant defense genes. SFN induced more pronounced changes in proteomic profiles under 18 kPa O<sub>2</sub> compared to 5 kPa, indicating oxygen-dependent cellular drug responses. This dataset offers a valuable resource for analyzing oxygen-sensitive proteomic changes. Comparative studies using different drugs or cell types could further elucidate oxygen-dependent signaling and inform the development of therapies aligned with physiological oxygen levels.</p>\",\"PeriodicalId\":21597,\"journal\":{\"name\":\"Scientific Data\",\"volume\":\"12 1\",\"pages\":\"989\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2025-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12162840/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Data\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41597-025-05160-z\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Data","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41597-025-05160-z","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Proteomic Data and Drug Implications for Cerebral Microvascular Endothelial Cells Under Varying Oxygen Levels.
Hyperoxia in standard cell cultures (18 kPa O2) imposes cellular oxidative stress, potentially skewing research and drug screening outcomes. Cerebral microvascular endothelial cells (hCMEC/D3) experience no more than 7 kPa O2 in vivo. In this study, hCMEC/D3 cells were adapted to 5 kPa O2 for 5 days to optimize an in vitro physiological cell culture model. Using a SYNAPT G2-Si mass spectrometer, we compared the proteomic profiles of cells cultured under 5 kPa versus 18 kPa O2. A substantial proteomic shift under hyperoxia highlighted the strong impact of oxygen levels on protein expression. We further investigated the effect of oxygen levels on drug screening using sulforaphane (SFN), an inducer of NRF2-regulated antioxidant defense genes. SFN induced more pronounced changes in proteomic profiles under 18 kPa O2 compared to 5 kPa, indicating oxygen-dependent cellular drug responses. This dataset offers a valuable resource for analyzing oxygen-sensitive proteomic changes. Comparative studies using different drugs or cell types could further elucidate oxygen-dependent signaling and inform the development of therapies aligned with physiological oxygen levels.
期刊介绍：
Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data.
The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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