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结节性硬化症皮质结节的编码和小型非编码转录景观:对发病机制和治疗的影响。

Coding and small non-coding transcriptional landscape of tuberous sclerosis complex cortical tubers: implications for pathophysiology and treatment.

机构信息

Department of (Neuro) Pathology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.

GenomeScan BV, Leiden, The Netherlands.

出版信息

Sci Rep. 2017 Aug 14;7(1):8089. doi: 10.1038/s41598-017-06145-8.

Abstract

Tuberous Sclerosis Complex (TSC) is a rare genetic disorder that results from a mutation in the TSC1 or TSC2 genes leading to constitutive activation of the mechanistic target of rapamycin complex 1 (mTORC1). TSC is associated with autism, intellectual disability and severe epilepsy. Cortical tubers are believed to represent the neuropathological substrates of these disabling manifestations in TSC. In the presented study we used high-throughput RNA sequencing in combination with systems-based computational approaches to investigate the complexity of the TSC molecular network. Overall we detected 438 differentially expressed genes and 991 differentially expressed small non-coding RNAs in cortical tubers compared to autopsy control brain tissue. We observed increased expression of genes associated with inflammatory, innate and adaptive immune responses. In contrast, we observed a down-regulation of genes associated with neurogenesis and glutamate receptor signaling. MicroRNAs represented the largest class of over-expressed small non-coding RNA species in tubers. In particular, our analysis revealed that the miR-34 family (including miR-34a, miR-34b and miR-34c) was significantly over-expressed. Functional studies demonstrated the ability of miR-34b to modulate neurite outgrowth in mouse primary hippocampal neuronal cultures. This study provides new insights into the TSC transcriptomic network along with the identification of potential new treatment targets.

摘要

结节性硬化症复合征(TSC)是一种罕见的遗传性疾病,由 TSC1 或 TSC2 基因突变引起,导致雷帕霉素靶蛋白复合体 1(mTORC1)的组成性激活。TSC 与自闭症、智力残疾和严重癫痫有关。皮质结节被认为是 TSC 这些致残表现的神经病理学基础。在本研究中,我们使用高通量 RNA 测序结合基于系统的计算方法来研究 TSC 分子网络的复杂性。总的来说,与尸检对照脑组织相比,我们在皮质结节中检测到 438 个差异表达基因和 991 个差异表达的小非编码 RNA。我们观察到与炎症、先天和适应性免疫反应相关的基因表达增加。相比之下,我们观察到与神经发生和谷氨酸受体信号相关的基因下调。miRNA 是结节中表达上调的小非编码 RNA 种类中最大的一类。特别是,我们的分析表明 miR-34 家族(包括 miR-34a、miR-34b 和 miR-34c)显著过表达。功能研究表明,miR-34b 能够调节小鼠原代海马神经元培养物中的神经突生长。这项研究提供了 TSC 转录组网络的新见解,并确定了潜在的新治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad56/5556011/e553776b601d/41598_2017_6145_Fig1_HTML.jpg

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