鉴定杜氏肌营养不良症犬模型骨骼肌中的参考微RNA

D. Riddell, J. Hildyard, R. Harron, Dominic J. Wells, R. Piercy
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Methods RNA was extracted from WT and DE50-MD dog (N=6 per genotype) vastus lateralis muscle samples collected longitudinally at 3, 6, 9, 12, 15 and 18 months of age, and from muscles collected post-mortem (N=3 per genotype; cranial tibial, semimembranosus, lateral triceps and diaphragm). 87 RNAs were quantified in a subset of 6-month-old WT and DE50-MD muscles (N=4 per genotype) using the QIAcuity miFinder panel. GeNorm, BestKeeper and Normfinder were used to identify a candidate panel of the 8 most stable small RNAs, which were then quantified in all RNA samples, alongside the commonly used reference RNA snRNA U6. Results The most stable miRs of this subset were used to normalise quantities of dystromiRs miR-1, miR-133a and miR-206, and fibromiR miR-214. MicroRNAs miR-191, let-7b, miR-125a and miR-15a were the most stable miRs tested, while snRNA U6 performed poorly. 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摘要

背景 杜兴氏肌营养不良症(DMD)是一种致命的肌肉萎缩性疾病,由肌营养不良蛋白基因突变引起。DE50-MD犬是一种DMD犬科模型,被用作评估有前景的治疗方法的最终转化模型。DE50-MD犬肌肉中的微RNA(miR)表达是潜在的生物标志物,但必须首先确定稳定的参考miR。本文旨在为 WT 狗和 DE50-MD 狗建立一组不同年龄和肌肉群的参考 miR。方法 在狗 3、6、9、12、15 和 18 个月大时纵向采集 WT 和 DE50-MD 狗(每个基因型 6 只)的阔筋肌样本,并从死后采集的肌肉(每个基因型 3 只;颅胫肌、半膜肌、外侧肱三头肌和膈肌)中提取 RNA。使用 QIAcuity miFinder 面板对 6 个月大的 WT 和 DE50-MD 肌肉(每个基因型 4 个)中的 87 个 RNA 进行量化。利用 GeNorm、BestKeeper 和 Normfinder 确定了 8 个最稳定的候选小 RNA,然后在所有 RNA 样品中与常用的参考 RNA snRNA U6 一起进行量化。结果 该子集中最稳定的 miRs 被用来归一化肌营养不良性 RNA miR-1、miR-133a 和 miR-206 以及纤维性 RNA miR-214。microRNAs miR-191、let-7b、miR-125a 和 miR-15a 是所测试的最稳定的 miRs,而 snRNA U6 表现不佳。与 WT 肌肉相比,DE50-MD 的肌张力障碍 miR-1 和 miR-133a 的表达低于参考 miR 小组的几何平均数,而 miR-206 的水平在不同基因型之间没有显著差异。在 DE50-MD 肌肉中,FibromiR miR-214 比 WT 肌肉高 2 到 4 倍。结论 由 miR-191、let-7b、miR-125a 和 miR-15a 导出的归一化因子适用于归一化 WT 和 DE50-MD 肌肉中不同年龄和肌肉类型的 miR 表达数据。
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Identification of reference microRNAs in skeletal muscle of a canine model of Duchenne muscular dystrophy
Background Duchenne muscular dystrophy (DMD) is a fatal muscle wasting disease caused by mutations in the dystrophin gene. DE50-MD dogs are a canine model of DMD used as final translational models for evaluation of promising treatments. MicroRNA (miR) expressions in the muscle of DE50-MD dogs represent potential biomarkers, but stable reference miRs must first be identified. The aim of this paper was to establish a panel of reference miRs for WT and DE50-MD dogs over a range of ages and muscle groups. Methods RNA was extracted from WT and DE50-MD dog (N=6 per genotype) vastus lateralis muscle samples collected longitudinally at 3, 6, 9, 12, 15 and 18 months of age, and from muscles collected post-mortem (N=3 per genotype; cranial tibial, semimembranosus, lateral triceps and diaphragm). 87 RNAs were quantified in a subset of 6-month-old WT and DE50-MD muscles (N=4 per genotype) using the QIAcuity miFinder panel. GeNorm, BestKeeper and Normfinder were used to identify a candidate panel of the 8 most stable small RNAs, which were then quantified in all RNA samples, alongside the commonly used reference RNA snRNA U6. Results The most stable miRs of this subset were used to normalise quantities of dystromiRs miR-1, miR-133a and miR-206, and fibromiR miR-214. MicroRNAs miR-191, let-7b, miR-125a and miR-15a were the most stable miRs tested, while snRNA U6 performed poorly. DystromiR expression, normalised to the geometric mean of the panel of reference miRs, was lower for miR-1 and miR-133a in DE50-MD compared to WT muscles, while miR-206 levels did not significantly differ between genotypes. FibromiR miR-214 was 2- to 4-fold higher in DE50-MD versus WT muscles. Conclusions A normalisation factor derived from miR-191, let-7b, miR-125a and miR-15a is suitable for normalising miR expression data from WT and DE50-MD muscle over a range of ages and muscle types.
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