Advances in Proteomics Allow Insights Into Neuronal Proteomes.
Advances in Proteomics Allow Insights Into Neuronal Proteomes.
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DOI：
10.3389/fnmol.2021.647451
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发表时间：
2021
影响因子：
4.8
通讯作者：
Roche KW
中科院分区：
文献类型：
--
作者：
Fingleton E;Li Y;Roche KW
蛋白质-蛋白质相互作用网络和信号复合物对正常的脑功能至关重要，并且在神经系统疾病中经常失调。然而，解开神经元和突触特异性蛋白质相互作用网络仍然是一个技术挑战。然而，新技术已经允许高分辨率和高通量分析，使各种神经元蛋白群体的量化和表征成为可能。在过去的十年中，质谱（MS）已成为串联分析多种蛋白质样品的主要方法，可以精确定量蛋白质组学数据。此外，复杂的蛋白质标记技术的发展使质谱具有较高的时间和空间分辨率，有助于分析各种神经元亚结构、细胞类型和亚细胞区室。最近的研究利用这些新技术揭示了表征良好的神经元过程的蛋白质组学基础，如轴突引导、长期增强和稳态可塑性。转化质谱研究促进了对复杂神经系统疾病的更好理解，如阿尔茨海默病（AD）、精神分裂症（SCZ）和自闭症谱系障碍（ASD）。这些疾病的蛋白质组学研究不仅使研究人员对疾病机制有了新的认识，而且还用于验证疾病模型和确定新的研究靶点。
Protein–protein interaction networks and signaling complexes are essential for normal brain function and are often dysregulated in neurological disorders. Nevertheless, unraveling neuron- and synapse-specific proteins interaction networks has remained a technical challenge. New techniques, however, have allowed for high-resolution and high-throughput analyses, enabling quantification and characterization of various neuronal protein populations. Over the last decade, mass spectrometry (MS) has surfaced as the primary method for analyzing multiple protein samples in tandem, allowing for the precise quantification of proteomic data. Moreover, the development of sophisticated protein-labeling techniques has given MS a high temporal and spatial resolution, facilitating the analysis of various neuronal substructures, cell types, and subcellular compartments. Recent studies have leveraged these novel techniques to reveal the proteomic underpinnings of well-characterized neuronal processes, such as axon guidance, long-term potentiation, and homeostatic plasticity. Translational MS studies have facilitated a better understanding of complex neurological disorders, such as Alzheimer’s disease (AD), Schizophrenia (SCZ), and Autism Spectrum Disorder (ASD). Proteomic investigation of these diseases has not only given researchers new insight into disease mechanisms but has also been used to validate disease models and identify new targets for research.
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DOI：
10.1016/j.bbrc.2014.02.041
发表时间：
2014-03-21
影响因子：
3.1
作者：
Catherman, Adam D.;Skinner, Owen S.;Kelleher, Neil L.
通讯作者：
Kelleher, Neil L.
影响因子：
--
作者：
Bai B;Tan H;Pagala VR;High AA;Ichhaporia VP;Hendershot L;Peng J
通讯作者：
Peng J
影响因子：
4.3
作者：
Ghiassian SD;Menche J;Barabási AL
通讯作者：
Barabási AL
影响因子：
6.2
作者：
Broek JA;Guest PC;Rahmoune H;Bahn S
通讯作者：
Bahn S
影响因子：
46.9
作者：
Alvarez-Castelao, Beatriz;Schanzenbaecher, Christoph T.;Schuman, Erin M.
通讯作者：
Schuman, Erin M.