The long chain of non-coding RNA (lncRNA) is a class of non-coding RNA, which plays an important role in regulating eukaryotic gene expression. So, it assumed an extremely important role in all aspects of cell life activities.Transcriptome studies has become one of the hot issues of the forefront of life science research. Through which platform, scholars found the abnormal expressions of lncRNAs can lead to the development of certain diseases. However, the research between lncRNAs and endometriosis (EMs) is still blank now. The present project groundbreaking the use of lncRNA chips build the significant difference lncRNAs expression profile of endometriosis; then expand the sample size to verify the significant difference lncRNAs expression by Realtime RT-PCR and FISH. The most related mRNA with the significant difference lncRNAs is filtered out by mRNA co-expression analysis. RNA immunization of precipitation technology (RNA-RIP) is used to study the interactions between the differences lncRNAs and relevant mRNA encoding protein. Finally, the functions of significant difference lncRNAs are explored by in vitro and in vivo models. difference development of endometriosis, including sexual lncRNAs function study. The project intends to stand in a new perspective, from the source of the disease to learn up to the pathogenesis and development of EMs. We hope to find specific early diagnosis molecular markers, explore related lncRNAs functions and provide a new strategy for the treatment of EMs.
长链非编码RNA(lncRNA)是在真核生物基因表达调控中发挥重要作用的一类非编码RNA,它在细胞生命活动的各个环节中承担了极其重要的作用。学者通过转录组研究发现lncRNA的异常表达能够导致相关疾病的发生发展,而有关lncRNA在子宫内膜异位症的研究国内外尚属空白。本项目利用lncRNA芯片构建内异症差异性lncRNAs表达谱;而后扩大样本量,采用Realtime RT-PCR及FISH技术验证差异性lncRNAs表达并定位;再通过mRNA的共表达分析筛选出与差异性lncRNAs表达水平显著相关的mRNA并验证,采用RNA免疫共沉淀技术(RNA-RIP技术)研究差异性lncRNAs与其表达水平显著相关的mRNA编码蛋白间的相互作用;最后通过体外细胞及体内动物模型,对差异性lncRNAs在内异症发生发展中的功能进行研究。本项目拟站在全新的角度,为内异症的早期诊断、筛查及治疗提供新的策略。
长链非编码RNA(lncRNA)是长度大于200nt的非编码RNA,可在基因复制、转录、翻译等多个水平发挥重要的调控作用。对子宫内膜异位症(EMs)相关性lncRNA的研究,国内外仍处于起步阶段。本项目创新性的应用高通量测序技术,构建EMs相关的lncRNA及circRNA表达谱,筛选差异表达的lncRNA及circRNA分子;并应用qPCR技术对测序结果进行验证。同时依据cis、trans作用及来源基因,推测非编码RNA的功能。在GO及KEGG通路富集分析的基础上,从分子层面表征EMs的生物学特性。最后通过构建Coding-Non-Coding共表达网络,阐释EMs发生过程中复杂的转录调控机制,以期为EMs诊断与治疗提供新的思路和靶点。
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数据更新时间:2023-05-31
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