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Transcriptional regulatory networks underlying the reprogramming of spermatogonial stem cells to multipotent stem cells

机译:精子干细胞重编程为多能干细胞的转录调控网络

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Spermatogonial stem cells (SSCs) are germline stem cells located along the basement membrane of seminiferous tubules in testes. Recently, SSCs were shown to be reprogrammed into multipotent SSCs (mSSCs). However, both the key factors and biological networks underlying this reprogramming remain elusive. Here, we present transcriptional regulatory networks (TRNs) that control cellular processes related to the SSC-to-mSSC reprogramming. Previously, we established intermediate SSCs (iSSCs) undergoing the transition to mSSCs and generated gene expression profiles of SSCs, iSSCs and mSSCs. By comparing these profiles, we identified 2643 genes that were up-regulated during the reprogramming process and 15 key transcription factors (TFs) that regulate these genes. Using the TF-target relationships, we developed TRNs describing how these TFs regulate three pluripotency-related processes (cell proliferation, stem cell maintenance and epigenetic regulation) during the reprogramming. The TRNs showed that 4 of the 15 TFs (Oct4/Pou5f1, Cux1, Zfp143 and E2f4) regulated cell proliferation during the early stages of reprogramming, whereas 11 TFs (Oct4/Pou5f1, Foxm1, Cux1, Zfp143, Trp53, E2f4, Esrrb, Nfyb, Nanog, Sox2 and Klf4) regulated the three pluripotency-related processes during the late stages of reprogramming. Our TRNs provide a model for the temporally coordinated transcriptional regulation of pluripotency-related processes during the SSC-to-mSSC reprogramming, which can be further tested in detailed functional studies.
机译:精原干细胞(SSC)是沿睾丸生精小管基底膜定位的种系干细胞。最近,显示SSC被重新编程为多能SSC(mSSC)。但是,重编程背后的关键因素和生物学网络仍然难以捉摸。在这里,我们介绍转录调控网络(TRNs),控制与SSC到mSSC重编程有关的细胞过程。以前,我们建立了过渡到mSSC的中间SSC(iSSC),并生成了SSC,iSSC和mSSC的基因表达谱。通过比较这些配置文件,我们确定了2643个在重编程过程中上调的基因和15个调节这些基因的关键转录因子(TF)。利用TF-靶标关系,我们开发了TRN,描述了这些TF在重编程过程中如何调节三个多能性相关过程(细胞增殖,干细胞维持和表观遗传调控)。 TRN显示15种TF中的4种(Oct4 / Pou5f1,Cux1,Zfp143和E2f4)在重新编程的早期阶段调节细胞增殖,而11种TF(Oct4 / Pou5f1,Foxm1,Cux1,Zfp143,Trp53,E2f4,Esrrb, Nfyb,Nanog,Sox2和Klf4)在重新编程的后期调节了三个与多能性相关的过程。我们的TRN为SSC到mSSC重编程期间多能性相关过程的时间协调转录调控提供了模型,可以在详细的功能研究中进一步测试该模型。

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