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Cross-species gene modules emerge from a systems biology approach to osteoarthritis

机译:跨物种的基因模块来自系统生物学方法治疗骨关节炎

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Complexities in degenerative disorders, such as osteoarthritis, arise from multiscale biological, environmental, and temporal perturbations. Animal models serve to provide controlled representations of the natural history of degenerative disorders, but in themselves represent an additional layer of complexity. Comparing transcriptomic networks arising from gene co-expression data across species can facilitate an understanding of the preservation of functional gene modules and establish associations with disease phenotypes. This study demonstrates the preservation of osteoarthritis-associated gene modules, described by immune system and system development processes, across human and rat studies. Class prediction analysis establishes a minimal gene signature, including the expression of the Rho GDP dissociation inhibitor ARHGDIB , which consistently defined healthy human cartilage from osteoarthritic cartilage in an independent data set. The age of human clinical samples remains a strong confounder in defining the underlying gene regulatory mechanisms in osteoarthritis; however, defining preserved gene models across species may facilitate standardization of animal models of osteoarthritis to better represent human disease and control for ageing phenomena.
机译:退化性疾病(例如骨关节炎)的复杂性是由多尺度的生物学,环境和时间扰动引起的。动物模型可提供变性疾病自然史的受控表示,但它们本身又代表了复杂性的另一层。比较跨物种的基因共表达数据产生的转录组网络可以促进对功能基因模块的保存的了解,并建立与疾病表型的关联。这项研究证明了在人类和大鼠研究中,由免疫系统和系统发育过程描述的骨关节炎相关基因模块的保存。类别预测分析建立了最小的基因特征,包括Rho GDP解离抑制剂ARHGDIB的表达,后者在独立的数据集中一致地从骨关节炎软骨中定义了健康的人类软骨。在确定骨关节炎的潜在基因调控机制时,人类临床样品的年龄仍然是一个强大的混淆因素。然而,跨物种定义保存的基因模型可能有助于骨关节炎动物模型的标准化,从而更好地代表人类疾病并控制衰老现象。

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