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阐明黑暗的激酶组:利用多重肽活性阵列对研究不足的激酶进行功能注释。

Illuminating the dark kinome: utilizing multiplex peptide activity arrays to functionally annotate understudied kinases.

机构信息

Department of Neurosciences and Psychiatry, University of Toledo College of Medicine, Toledo, OH, USA.

Department of Biomedical Informatics, University of Cincinnati, Cincinnati, OH, USA.

出版信息

Cell Commun Signal. 2024 Oct 17;22(1):501. doi: 10.1186/s12964-024-01868-4.

Abstract

Protein kinases are critical components of a myriad biological processes and strongly associated with various diseases. While kinase research has been a point of focus in biomedical research for several decades, a large portion of the kinome is still considered understudied or "dark," because prior research is targeted towards a subset of kinases with well-established roles in cellular processes. We present an empirical and in-silico hybrid workflow to extend the functional knowledge of understudied kinases. Utilizing multiplex peptide activity arrays and robust in-silico analyses, we extended the functional knowledge of five dark tyrosine kinases (AATK, EPHA6, INSRR, LTK, TNK1) and explored their roles in schizophrenia, Alzheimer's dementia (AD), and major depressive disorder (MDD). Using this hybrid approach, we identified 195 novel kinase-substrate interactions with variable degrees of affinity and linked extended functional networks for these kinases to biological processes that are impaired in psychiatric and neurological disorders. Biochemical assays and mass spectrometry were used to confirm a putative substrate of EPHA6, an understudied dark tyrosine kinase. We examined the EPHA6 network and knowledgebase in schizophrenia using reporter peptides identified and validated from the multi-plex array with high affinity for phosphorylation by EPHA6. Identification and confirmation of putative substrates for understudied kinases provides a wealth of actionable information for the development of new drug treatments as well as exploration of the pathophysiology of disease states using signaling network approaches.

摘要

蛋白激酶是无数生物过程的关键组成部分,与各种疾病密切相关。尽管激酶研究在几十年前一直是生物医学研究的重点,但由于先前的研究针对的是在细胞过程中具有明确作用的激酶亚群,因此大部分激酶组仍被认为研究不足或“黑暗”。我们提出了一种经验和计算混合工作流程,以扩展研究不足的激酶的功能知识。我们利用多重肽活性阵列和强大的计算分析,扩展了五种暗酪氨酸激酶(AATK、EPHA6、INSRR、LTK、TNK1)的功能知识,并探讨了它们在精神分裂症、阿尔茨海默病(AD)和重度抑郁症(MDD)中的作用。使用这种混合方法,我们鉴定了 195 种新型激酶-底物相互作用,其亲和力具有不同程度,并将这些激酶的扩展功能网络与在精神和神经障碍中受损的生物学过程联系起来。生化测定和质谱分析用于确认 EPHA6(一种研究不足的暗酪氨酸激酶)的假定底物。我们使用通过多plex 阵列鉴定和验证的、对 EPHA6 磷酸化具有高亲和力的报道肽,在精神分裂症中检查了 EPHA6 网络和知识库。鉴定和确认研究不足的激酶的假定底物为开发新的药物治疗方法以及使用信号网络方法探索疾病状态的病理生理学提供了丰富的可操作信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2727/11484317/e1fe44ff9064/12964_2024_1868_Fig1_HTML.jpg

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