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A comprehensive p75 neurotrophin receptor gene network and pathway analyses identifying new target genes

机译:综合P75神经营养素受体基因网络和途径分析鉴定新的靶基因

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P75 neurotrophic receptor (p75NTR) is an important receptor for the role of neurotrophins in modulating brain plasticity and apoptosis. The current understanding of the role of p75NTR in cellular adaptation following pathological insults remains blurred, which makes p75NTR’s related signaling networks an interesting and challenging initial point of investigation. We identified p75NTR and related genes through extensive data mining of a PubMed literature search including published works related to p75NTR from the past 20?years. Bioinformatic network and pathway analyses of identified genes (n?=?235) were performed using ReactomeFIViz in Cytoscape based on the highly reliable Reactome functional interaction network algorithm. This approach merges interactions extracted from human curated pathways with predicted interactions from machine learning. Genome-wide pathway analysis showed total of 16 enriched hierarchical clusters. A total of 278 enriched single pathways were also identified (p??0.05, false discovery rate corrected). Gene network analyses showed multiple known and new targets in the p75NTR gene network. This study provides a comprehensive analysis and investigation into the current knowledge of p75NTR signaling networks and pathways. These results also identify several genes and their respective protein products as involved in the p75NTR network, which have not previously been clearly studied in this pathway. These results can be used to generate novel hypotheses to gain a greater understanding of p75NTR in acute brain injuries, neurodegenerative diseases and general response to cellular damage.
机译:P75神经营养受体(P75NTR)是神经营养素在调节脑塑性和细胞凋亡中的作用的重要受体。目前对P75NTR在病理侮辱之后蜂窝适应中的作用的理解仍然模糊,这使得P75NTR相关的信号网络是一个有趣和具有挑战性的初始调查点。我们通过广泛的数据挖掘确定了P75NTR和相关基因,包括从过去20年的P75NTR相关的公布作品.年。基于高度可靠的反应功能交互网络算法,在Cytostomape中使用ReactomeFiviz进行鉴定基因的生物信息网络和途径分析。这种方法合并从人类策划途径提取的相互作用,从机器学习中的预测相互作用。基因组途径分析显示总共16个富集的分层簇。还鉴定了总共278个富集的单途径(P?<?0.05,校正虚假发现率)。基因网络分析显示了P75NTR基因网络中的多种已知和新的目标。本研究提供了对P75NTR信号通信网络和途径的目前了解的全面分析和调查。这些结果还识别了P75NTR网络中涉及的几种基因及其各自的蛋白质产品,其先前未在本途径中清楚地研究。这些结果可用于产生新颖的假设,以更高了解急性脑损伤,神经变性疾病和对细胞损伤的一般反应中P75NTR。

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