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匿名使用者
匿名使用者 發問時間: 社會與文化語言 · 7 年前

英文翻譯 Introduction 部分

It is well known that bone is capable of modelling and remodelling in response to the mechanical loading Understanding the cellular responses leading to the formation of new bone and the remodelling of existing matrix is crucial in the understanding of the physiology and pathology of the bone. The osteocytes are the most abundant cell type in the bone.They are embedded in the matrix of bone bearing external load and maintain an extensive and interconnected network via multiple processes withincanaliculi.They are ideally placed and are assumed to be the first cells to perceive strains in bone induced by external load and to translate mechanical strain into biochemical signals that regulate bone modelling and remodelling.Consequently, one major research focus in this field has been the study of mechanical responses of osteocytes .

Although a number of studies have shown expression of individual genes in osteocytes in response to mechanical loading, few have studied simultaneous expression of multiple genes, which could not only provide more information on genes involved in the cellular responses of mechanosensitive osteocytes to mechanical loading, but also information on previously unrecognized patterns of gene regulation.

Microarray technology is a powerful tool that would allow such study

– providing information on the expression patterns of thousands of genes at the same time.

Owing to the fact that relatively little is known about the temporal response of genes to mechanical stimuli in osteocytes, and that these genes may be relevant to bone modelling and remodelling, or other diseases, we investigated gene expression

patterns in cultured murine long bone osteocyte-like MLO-Y4 cells at different time-points in response to CCF using the oligonucleotide microarray approach.

Global gene expression patterns were identified by self-organizing maps (SOM) algorithms, and the data were validated by qRT-PCR.In order to

1 個解答

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  • Shuang
    Lv 7
    7 年前
    最佳解答

    這是眾所周知的,骨能夠響應的機械負荷,了解導致新骨的形成和現有的基質重塑的細胞的反應是至關重要的骨的生理和病理的理解建模和重塑。骨細胞是最豐富的細胞類型在骨頭內.它們是嵌入在基質中的骨軸承外部負載,並保持廣泛而通過多個進程在細管之間.它們是互聯網絡的理想的放置,並且被假定為第一細胞感知菌株骨誘導和,機械應變翻譯成生化信號調節骨骼建模和重模組化.最後,一個主要的研究重點一直在這一領域的研究骨的力學響應外部負載。

    雖然一些研究表明個體骨細胞中的基因表達的機械負載,很少有研究多個基因的同時表達,不僅可以提供更多信息,機械負載的機械敏感性骨細胞的細胞的反應中所涉及的基因,但先前未確認的基因調控模式的信息。

    基因芯片技術是一種強大的工具,決不會允許這類研究

    - 提供數以千計的基因的表達模式在同一時間上的信息。

    由於相對較少被了解基因在骨細胞的機械性刺激的響應時間,並且,這些基因可能是相關的建模和骨重塑,或其他疾病的事實,我們調查基因的表達

    模式培養的小鼠長骨骨細胞樣MLO-Y4細胞CCF使用寡核苷酸基因芯片的方法在不同的時間點。

    全球基因表達模式確定了自組織圖(SOM)算法和數據由定量RT-PCR.In命令驗證

    參考資料: me + google + revised
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