A molecular systems architecture of neuromuscular junction in amyotrophic lateral sclerosis.

IF 3.5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
V A Shiva Ayyadurai, Prabhakar Deonikar, Roger D Kamm
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引用次数: 0

Abstract

A molecular systems architecture is presented for the neuromuscular junction (NMJ) in order to provide a framework for organizing complexity of biomolecular interactions in amyotrophic lateral sclerosis (ALS) using a systematic literature review process. ALS is a fatal motor neuron disease characterized by progressive degeneration of the upper and lower motor neurons that supply voluntary muscles. The neuromuscular junction contains cells such as upper and lower motor neurons, skeletal muscle cells, astrocytes, microglia, Schwann cells, and endothelial cells, which are implicated in pathogenesis of ALS. This molecular systems architecture provides a multi-layered understanding of the intra- and inter-cellular interactions in the ALS neuromuscular junction microenvironment, and may be utilized for target identification, discovery of single and combination therapeutics, and clinical strategies to treat ALS.

肌萎缩性侧索硬化症神经肌肉连接处的分子系统结构。
通过系统的文献回顾过程,提出了神经肌肉连接(NMJ)的分子系统架构,以便为肌萎缩侧索硬化症(ALS)中组织生物分子相互作用的复杂性提供一个框架。肌萎缩侧索硬化症是一种致命的运动神经元疾病,其特征是支配随意肌的上下运动神经元进行性变性。神经肌肉连接处包含上下运动神经元、骨骼肌细胞、星形胶质细胞、小胶质细胞、雪旺细胞和内皮细胞等细胞,这些细胞与ALS的发病有关。这种分子系统结构提供了对肌萎缩侧索硬化症神经肌肉连接处微环境中细胞内和细胞间相互作用的多层理解,并可用于靶点识别、单一和联合治疗方法的发现以及治疗肌萎缩侧索硬化症的临床策略。
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来源期刊
NPJ Systems Biology and Applications
NPJ Systems Biology and Applications Mathematics-Applied Mathematics
CiteScore
5.80
自引率
0.00%
发文量
46
审稿时长
8 weeks
期刊介绍: npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology. We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.
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