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绘制蛋白质激酶组图谱:当前策略与未来方向。

Mapping the Protein Kinome: Current Strategy and Future Direction.

机构信息

Center for Mitochondrial Biology and Medicine, Douglas C. Wallace Institute for Mitochondrial and Epigenetic Information Sciences, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.

School of Health and Life Science, University of Health and Rehabilitation Sciences, Qingdao 266071, China.

出版信息

Cells. 2023 Mar 17;12(6):925. doi: 10.3390/cells12060925.

Abstract

The kinome includes over 500 different protein kinases, which form an integrated kinase network that regulates cellular phosphorylation signals. The kinome plays a central role in almost every cellular process and has strong linkages with many diseases. Thus, the evaluation of the cellular kinome in the physiological environment is essential to understand biological processes, disease development, and to target therapy. Currently, a number of strategies for kinome analysis have been developed, which are based on monitoring the phosphorylation of kinases or substrates. They have enabled researchers to tackle increasingly complex biological problems and pathological processes, and have promoted the development of kinase inhibitors. Additionally, with the increasing interest in how kinases participate in biological processes at spatial scales, it has become urgent to develop tools to estimate spatial kinome activity. With multidisciplinary efforts, a growing number of novel approaches have the potential to be applied to spatial kinome analysis. In this paper, we review the widely used methods used for kinome analysis and the challenges encountered in their applications. Meanwhile, potential approaches that may be of benefit to spatial kinome study are explored.

摘要

激酶组包括 500 多种不同的蛋白激酶,它们形成一个整合的激酶网络,调节细胞磷酸化信号。激酶组在几乎所有的细胞过程中都起着核心作用,并与许多疾病有很强的联系。因此,在生理环境中评估细胞激酶组对于理解生物过程、疾病发展和靶向治疗至关重要。目前,已经开发出了许多激酶组分析策略,这些策略基于监测激酶或底物的磷酸化。它们使研究人员能够解决越来越复杂的生物学问题和病理过程,并促进了激酶抑制剂的发展。此外,随着人们对激酶如何在空间尺度上参与生物过程的兴趣日益增加,开发估计空间激酶组活性的工具变得尤为迫切。通过多学科的努力,越来越多的新方法有可能应用于空间激酶组分析。本文综述了广泛用于激酶组分析的方法以及它们在应用中遇到的挑战。同时,还探讨了可能对空间激酶组研究有益的潜在方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccfb/10047437/80cc324a9277/cells-12-00925-g001.jpg

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