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Gomez SM, Axtman AD, Willson TM, Major MB, Townsend RR, Sorger PK, Johnson GL. Illuminating function of the understudied druggable kinome. Drug Discov Today 2024; 29:103881. [PMID: 38218213 PMCID: PMC11262466 DOI: 10.1016/j.drudis.2024.103881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 12/21/2023] [Accepted: 01/09/2024] [Indexed: 01/15/2024]
Abstract
The human kinome, with more than 500 proteins, is crucial for cell signaling and disease. Yet, about one-third of kinases lack in-depth study. The Data and Resource Generating Center for Understudied Kinases has developed multiple resources to address this challenge including creation of a heavy amino acid peptide library for parallel reaction monitoring and quantitation of protein kinase expression, use of understudied kinases tagged with a miniTurbo-biotin ligase to determine interaction networks by proximity-dependent protein biotinylation, NanoBRET probe development for screening chemical tool target specificity in live cells, characterization of small molecule chemical tools inhibiting understudied kinases, and computational tools for defining kinome architecture. These resources are available through the Dark Kinase Knowledgebase, supporting further research into these understudied protein kinases.
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Affiliation(s)
- Shawn M Gomez
- University of North Carolina School of Medicine, Chapel Hill, NC, USA.
| | - Alison D Axtman
- University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Timothy M Willson
- University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Michael B Major
- Washington University School of Medicine in St. Louis, MO, USA
| | - Reid R Townsend
- Washington University School of Medicine in St. Louis, MO, USA
| | | | - Gary L Johnson
- University of North Carolina School of Medicine, Chapel Hill, NC, USA.
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Wang Y, Chi Y, Zhu C, Zhang Y, Li K, Chen J, Jiang X, Chen K, Li S. A novel anoikis-related gene signature predicts prognosis in patients with sepsis and reveals immune infiltration. Sci Rep 2024; 14:2313. [PMID: 38281996 PMCID: PMC10822872 DOI: 10.1038/s41598-024-52742-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 01/23/2024] [Indexed: 01/30/2024] Open
Abstract
Sepsis is a common acute and severe medical condition with a high mortality rate. Anoikis, an emerging form of cell death, plays a significant role in various diseases. However, the role of anoikis in sepsis remains poorly understood. Based on the datasets from Gene Expression Omnibus and anoikis-related genes from GeneCards, the differentially expressed anoikis-related genes (DEARGs) were identified. Based on hub genes of DEARGs, a novel prognostic risk model was constructed, and the pattern of immune infiltration was investigated by CIBERSORT algorithm. And small molecule compounds targeting anoikis in sepsis were analyzed using Autodock. Of 23 DEARGs, CXCL8, CFLAR, FASLG and TP53 were significantly associated with the prognosis of sepsis (P < 0.05). Based on the prognostic risk model constructed with these four genes, high-risk population of septic patients had significant lower survival probability than low-risk population (HR = 3.30, P < 0.001). And the level of CFLAR was significantly correlated with the number of neutrophils in septic patients (r = 0.54, P < 0.001). Moreover, tozasertib had low binding energy with CXCL8, CFLAR, FASLG and TP53, and would be a potential compound for sepsis. Conclusively, our results identified a new prognostic model and potential therapeutic molecular for sepsis, providing new insights on mechanism and treatment of sepsis.
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Affiliation(s)
- Yonghua Wang
- Department of Emergency, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, Sichuan, People's Republic of China
| | - Yanqi Chi
- School of Public Health, Chengdu Medical College, Chengdu, 610500, Sichuan, People's Republic of China
| | - Cheng Zhu
- Department of Emergency, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, Sichuan, People's Republic of China
| | - Yuxuan Zhang
- Department of Critical Care Medicine, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, Sichuan, People's Republic of China
| | - Ke Li
- Department of Emergency, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, Sichuan, People's Republic of China
| | - Jiajia Chen
- Department of Emergency, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, Sichuan, People's Republic of China
| | - Xiying Jiang
- Department of Emergency, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, Sichuan, People's Republic of China
| | - Kejie Chen
- School of Public Health, Chengdu Medical College, Chengdu, 610500, Sichuan, People's Republic of China.
| | - Shuping Li
- Department of Emergency, The First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, Sichuan, People's Republic of China.
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Stephenson EH, Higgins JMG. Pharmacological approaches to understanding protein kinase signaling networks. Front Pharmacol 2023; 14:1310135. [PMID: 38164473 PMCID: PMC10757940 DOI: 10.3389/fphar.2023.1310135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 11/27/2023] [Indexed: 01/03/2024] Open
Abstract
Protein kinases play vital roles in controlling cell behavior, and an array of kinase inhibitors are used successfully for treatment of disease. Typical drug development pipelines involve biological studies to validate a protein kinase target, followed by the identification of small molecules that effectively inhibit this target in cells, animal models, and patients. However, it is clear that protein kinases operate within complex signaling networks. These networks increase the resilience of signaling pathways, which can render cells relatively insensitive to inhibition of a single kinase, and provide the potential for pathway rewiring, which can result in resistance to therapy. It is therefore vital to understand the properties of kinase signaling networks in health and disease so that we can design effective multi-targeted drugs or combinations of drugs. Here, we outline how pharmacological and chemo-genetic approaches can contribute to such knowledge, despite the known low selectivity of many kinase inhibitors. We discuss how detailed profiling of target engagement by kinase inhibitors can underpin these studies; how chemical probes can be used to uncover kinase-substrate relationships, and how these tools can be used to gain insight into the configuration and function of kinase signaling networks.
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Affiliation(s)
| | - Jonathan M. G. Higgins
- Faculty of Medical Sciences, Biosciences Institute, Newcastle University, Newcastle uponTyne, United Kingdom
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