2023
DOI: 10.1016/j.molcel.2023.01.015
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Multiplexed kinase interactome profiling quantifies cellular network activity and plasticity

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Cited by 12 publications
(6 citation statements)
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“…RALBP1 is an effector of Ral GTPase that can interact with the μ2 subunit of AP2 and regulate endocytosis (Jullien-Flores et al, 2000). Importantly, human AAK1 interacted with both RALBP1 and REPS1 in several high-throughput mass spectrometry analyses (Huttlin et al, 2017; Huttlin et al, 2021; Cho et al, 2022; Golkowski et al, 2023). SEL-5 thus could regulate the AP2 complex indirectly via interaction with the REPS1-RALBP1 complex.…”
Section: Discussionmentioning
confidence: 99%
“…RALBP1 is an effector of Ral GTPase that can interact with the μ2 subunit of AP2 and regulate endocytosis (Jullien-Flores et al, 2000). Importantly, human AAK1 interacted with both RALBP1 and REPS1 in several high-throughput mass spectrometry analyses (Huttlin et al, 2017; Huttlin et al, 2021; Cho et al, 2022; Golkowski et al, 2023). SEL-5 thus could regulate the AP2 complex indirectly via interaction with the REPS1-RALBP1 complex.…”
Section: Discussionmentioning
confidence: 99%
“…Developments in computational approaches are also likely to be key to unlocking the potential of pharmacological approaches to understand protein kinase signaling networks. Efforts to rationalize the inhibitor libraries used for phenotypic studies, either to create libraries of high selectivity for each target kinase ( Moret et al, 2019 ; Wells et al, 2021 ) or suitable for deconvolution approaches ( Gujral et al, 2014b ; Rata et al, 2020 ; Watson et al, 2020 ; Golkowski et al, 2023 ), will help optimize the trade-off between library size and experimental practicality. Further work should help to determine which algorithms are most effective for identifying relevant kinases and pathways from inhibitor-induced perturbations in the phosphoproteome, for target deconvolution based on phenotypic screens, and for rational design of polypharmacological agents and drug combinations ( Gujral et al, 2014b ; Hernandez-Armenta et al, 2017 ; Tang, 2017 ; Rocca and Kholodenko, 2021 ) Finally, machine learning is poised to provide notable advances in determining features of kinase networks that predict drug efficacy for personalized medicine, as well as in these other areas.…”
Section: Discussionmentioning
confidence: 99%
“…Similar to KiPIK, by correlating the known inhibition fingerprints for kinases with displacement fingerprints of putative kinase-associated proteins determined by mass spectrometry, the “kiCCA” method was able to identify proteins associated with 238 different kinases. In this way, local context-specific kinase PPI networks can be examined ( Golkowski et al, 2023 ).…”
Section: Pharmacological Approaches For Analyzing Kinase Signaling Ne...mentioning
confidence: 99%
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“…Many past studies, including ours, have demonstrated that protein-protein interactions (PPIs) play a critical role in oncogenic signaling in addition to the role of oncogenic proteins themselves [55,56].…”
Section: Discussionmentioning
confidence: 99%