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Proneurogenic Ligands Defined by Modeling Developing Cortex Growth Factor Communication Networks

机译:通过建模发展皮质生长因子通信网络定义的神经原配体。

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The neural stemcell decision to self-renewor differentiate is tightly regulated by its microenvironment. Here, we have asked about this microenvironment, focusing on growth factors in the embryonic cortex at a time when it is largely comprised of neural precursor cells (NPCs) and newborn neurons. We show that cortical NPCs secrete factors that promote their maintenance, while cortical neurons secrete factors that promote differentiation. To define factors important for these activities, we used transcriptome profiling to identify ligands produced by NPCs and neurons, cell-surface mass spectrometry to identify receptors on these cells, and computational modeling to integrate these data. The resultant model predicts a complex growth factor environment with multiple autocrine and paracrine interactions. We tested this communication model, focusing on neurogenesis, and identified IFNg, Neurturin (Nrtn), and glial-derived neurotrophic factor (GDNF) as ligands with unexpected roles in promoting neurogenic differentiation of NPCs in vivo.
机译:神经干细胞决定自我更新的能力受到其微环境的严格控制。在这里,我们询问了这种微环境,重点是胚胎皮层中主要由神经前体细胞(NPC)和新生神经元组成的时间的生长因子。我们显示,皮质NPC分泌促进其维持的因子,而皮质神经元分泌促进分化的因子。为了定义对于这些活动重要的因素,我们使用了转录组分析来鉴定由NPC和神经元产生的配体,使用细胞表面质谱法来鉴定这些细胞上的受体,并使用计算模型来整合这些数据。结果模型预测了具有多种自分泌和旁分泌相互作用的复杂生长因子环境。我们测试了此通信模型,重点研究了神经发生,并确定了IFNg,Neurturin(Nrtn)和神经胶质衍生的神经营养因子(GDNF)作为配体,在促进体内NPC的神经原性分化方面具有意想不到的作用。

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