English Cole D, Kazi Kira J, Konig Isaac, Ivantsova Emma, Souders Ii Christopher L, Martyniuk Christopher J
Center for Environmental and Human Toxicology, Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, 32611, USA.
Department of Chemistry, Federal University of Lavras (UFLA), Minas Gerais, Brazil.
Data Brief. 2023 Mar 29;48:109099. doi: 10.1016/j.dib.2023.109099. eCollection 2023 Jun.
Ifosfamide is a cancer-fighting chemotherapeutic that has been detected in aquatic ecosystems. Zebrafish larvae were exposed to either 0, 1 or 100 µg/L ifosfamide in the water for 7 days, and fish were subjected to total RNA extraction and RNA-seq analysis with the Illumina NovoSeq 6000 instrument. Raw sequence data were processed through fastp and clean reads obtained by removing adapter and poly-N sequences, as well as low quality reads. Differential gene expression was performed using the abundance of transcripts that mapped to the zebrafish genome. To uncover putative targets regulated by microRNAs, Pathway Studio 12.0 was used to conduct a subnetwork enrichment analysis. Expression data were used to predict which microRNAs were important for the response to ifosfamide exposure. There were 21 common microRNAs identified in both the "IFOS1" and "IFOS100" datasets. These were MIR150, MIR6515, MIR657, MIR216A, m_Mir741, MIRLET7E, miR-let-7, MIR2392, r_Mir3551, MIR181B1, MIR33A, MIR502, MIR193B, MIR146A, MIR431, MIR647, m_Mir1192, MIR297, MIR328, and MIR4717. Data can be re-used to advance adverse outcome pathways in regulatory toxicology and to refine biomarker discovery for antineoplastics in aquatic environments.
异环磷酰胺是一种已在水生生态系统中被检测到的抗癌化疗药物。将斑马鱼幼体暴露于水中浓度为0、1或100μg/L的异环磷酰胺中7天,然后对鱼进行总RNA提取,并使用Illumina NovoSeq 6000仪器进行RNA测序分析。原始序列数据通过fastp进行处理,通过去除接头和多聚N序列以及低质量读段获得干净的读段。使用映射到斑马鱼基因组的转录本丰度进行差异基因表达分析。为了揭示受微小RNA调控的假定靶点,使用Pathway Studio 12.0进行子网富集分析。表达数据用于预测哪些微小RNA对异环磷酰胺暴露的反应很重要。在“IFOS1”和“IFOS100”数据集中共鉴定出21种常见的微小RNA。它们是MIR150、MIR6515、MIR657、MIR216A、m_Mir741、MIRLET7E、miR-let-7、MIR2392、r_Mir3551、MIR181B1、MIR33A、MIR502、MIR193B、MIR146A、MIR431、MIR647、m_Mir1192、MIR297、MIR328和MIR4717。这些数据可被重新利用,以推进监管毒理学中的不良结局途径,并完善水生环境中抗肿瘤药物的生物标志物发现。