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Zeng L, Kaoud TS, Zamora-Olivares D, Bohanon AL, Li Y, Pridgen JR, Ekpo YE, Zhuang DL, Nye JR, Telles M, Winkler M, Rivera S, Marini F, Dalby KN, Anslyn EV. Multiplexing the Quantitation of MAP Kinase Activities Using Differential Sensing. J Am Chem Soc 2022; 144:4017-4025. [PMID: 35195411 DOI: 10.1021/jacs.1c12757] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Protein kinases are therapeutic targets for many human diseases, but the lack of user-friendly quantitative assays limits the ability to follow the activities of numerous kinases at once (multiplexing). To develop such an assay, we report an array of sulfonamido-oxine (SOX)-labeled peptides showing cross-reactivity to different mitogen-activated protein kinases (MAPKs) for use in a differential sensing scheme. We first verified using linear discriminant analysis that the array could differentiate MAPK isoforms. Then, using principal component analysis, the array was optimized based on the discrimination imparted by each SOX-peptide. Next, the activity of individual MAPK families in ternary mixtures was quantified by support vector machine regression. Finally, we multiplexed the quantification of three MAPK families using partial least squares regression in A549 cell lysates, which has possible interference from other kinase classes. Thus, our method simultaneously quantifies the activity of multiple kinases. The technique could be applied to other protein kinase families and the monitoring of diseases.
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Affiliation(s)
- Lingyu Zeng
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Tamer S Kaoud
- Division of Chemical Biology and Medicinal Chemistry, College of Pharmacy, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Diana Zamora-Olivares
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States.,Texas Institute for Discovery Education in Science and Freshman Research Initiative, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Amanda L Bohanon
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Yiru Li
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Jacey R Pridgen
- Division of Chemical Biology and Medicinal Chemistry, College of Pharmacy, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Yakndara E Ekpo
- Texas Institute for Discovery Education in Science and Freshman Research Initiative, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Deborah L Zhuang
- Texas Institute for Discovery Education in Science and Freshman Research Initiative, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Jessica R Nye
- Texas Institute for Discovery Education in Science and Freshman Research Initiative, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Mitchell Telles
- Texas Institute for Discovery Education in Science and Freshman Research Initiative, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Michelle Winkler
- Texas Institute for Discovery Education in Science and Freshman Research Initiative, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Sebastian Rivera
- Texas Institute for Discovery Education in Science and Freshman Research Initiative, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Federico Marini
- Department of Chemistry, University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Kevin N Dalby
- Division of Chemical Biology and Medicinal Chemistry, College of Pharmacy, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Eric V Anslyn
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States
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2
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Tsuji K, Hymel D, Burke TR. A new genre of fluorescence recovery assay to evaluate polo-like kinase 1 ATP-competitive inhibitors. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2020; 12:4418-4421. [PMID: 32970049 PMCID: PMC7523589 DOI: 10.1039/d0ay01223h] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Using a probe consisting of a fluorescein-labeled variant of the potent polo-like kinase 1 (Plk1) inhibitor BI2536 [FITC-PEG-Lys(BI2536) 4], we were able to determine half maximal inhibitory concentration (IC50) of ATP-competitive Type 1 inhibitors of Plk1 by means of a fluorescence recovery assay. This methodology represents a cost-effective and simple alternative to traditional kinase assays for initial screening of potential Plk1 inhibitors.
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Affiliation(s)
- Kohei Tsuji
- Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, Maryland, 21702 USA.
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3
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Albanese SK, Parton DL, Işık M, Rodríguez-Laureano L, Hanson SM, Behr JM, Gradia S, Jeans C, Levinson NM, Seeliger MA, Chodera JD. An Open Library of Human Kinase Domain Constructs for Automated Bacterial Expression. Biochemistry 2018; 57:4675-4689. [PMID: 30004690 PMCID: PMC6081246 DOI: 10.1021/acs.biochem.7b01081] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Kinases play a critical role in cellular signaling and are dysregulated in a number of diseases, such as cancer, diabetes, and neurodegeneration. Therapeutics targeting kinases currently account for roughly 50% of cancer drug discovery efforts. The ability to explore human kinase biochemistry and biophysics in the laboratory is essential to designing selective inhibitors and studying drug resistance. Bacterial expression systems are superior to insect or mammalian cells in terms of simplicity and cost effectiveness but have historically struggled with human kinase expression. Following the discovery that phosphatase coexpression produced high yields of Src and Abl kinase domains in bacteria, we have generated a library of 52 His-tagged human kinase domain constructs that express above 2 μg/mL of culture in an automated bacterial expression system utilizing phosphatase coexpression (YopH for Tyr kinases and lambda for Ser/Thr kinases). Here, we report a structural bioinformatics approach to identifying kinase domain constructs previously expressed in bacteria and likely to express well in our protocol, experiments demonstrating our simple construct selection strategy selects constructs with good expression yields in a test of 84 potential kinase domain boundaries for Abl, and yields from a high-throughput expression screen of 96 human kinase constructs. Using a fluorescence-based thermostability assay and a fluorescent ATP-competitive inhibitor, we show that the highest-expressing kinases are folded and have well-formed ATP binding sites. We also demonstrate that these constructs can enable characterization of clinical mutations by expressing a panel of 48 Src and 46 Abl mutations. The wild-type kinase construct library is available publicly via Addgene.
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Affiliation(s)
- Steven K Albanese
- Louis V. Gerstner, Jr Graduate School of Biomedical Sciences , Memorial Sloan Kettering Cancer Center , New York , New York 10065 , United States
- Computational and Systems Biology Program, Sloan Kettering Institute , Memorial Sloan Kettering Cancer Center , New York , New York 10065 , United States
| | - Daniel L Parton
- Computational and Systems Biology Program, Sloan Kettering Institute , Memorial Sloan Kettering Cancer Center , New York , New York 10065 , United States
| | - Mehtap Işık
- Computational and Systems Biology Program, Sloan Kettering Institute , Memorial Sloan Kettering Cancer Center , New York , New York 10065 , United States
- Tri-Institutional PhD Program in Chemical Biology, Weill Cornell Graduate School of Medical Sciences , Cornell University , New York , New York 10065 , United States
| | - Lucelenie Rodríguez-Laureano
- Computational and Systems Biology Program, Sloan Kettering Institute , Memorial Sloan Kettering Cancer Center , New York , New York 10065 , United States
| | - Sonya M Hanson
- Computational and Systems Biology Program, Sloan Kettering Institute , Memorial Sloan Kettering Cancer Center , New York , New York 10065 , United States
| | - Julie M Behr
- Computational and Systems Biology Program, Sloan Kettering Institute , Memorial Sloan Kettering Cancer Center , New York , New York 10065 , United States
- Tri-Institutional Program in Computational Biology and Medicine, Weill Cornell Graduate School of Medical Sciences , Cornell University , New York , New York 10065 , United States
| | - Scott Gradia
- QB3MacroLab , University of California , Berkeley , California 94720 , United States
| | - Chris Jeans
- QB3MacroLab , University of California , Berkeley , California 94720 , United States
| | - Nicholas M Levinson
- Department of Pharmacology , University of Minnesota , Minneapolis , Minnesota 55455 , United States
| | - Markus A Seeliger
- Department of Pharmacological Sciences , Stony Brook University Medical School , Stony Brook , New York 11794 , United States
| | - John D Chodera
- Computational and Systems Biology Program, Sloan Kettering Institute , Memorial Sloan Kettering Cancer Center , New York , New York 10065 , United States
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4
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Barreto K, Aparicio A, Bharathikumar VM, DeCoteau JF, Geyer CR. Yeast two-hybrid screening of cyclic peptide libraries using a combination of random and PI-deconvolution pooling strategies. Protein Eng Des Sel 2012; 25:453-64. [PMID: 22763264 DOI: 10.1093/protein/gzs029] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
We developed a high throughput yeast two-hybrid (Y2H) assay for screening pools of combinatorial cyclic peptide preys against pools of bait proteins. The assay used the PI (pooling with imaginary tags) deconvolution pooling strategy to generate pools of baits and a random pooling strategy to generate pools of cyclic peptide preys. Haploid yeast, expressing pools of baits or preys, were arrayed and mated to each other to generate diploid arrays, where the yeast express both baits and preys. Diploid arrays were scored for activation of the Y2H reporter genes. We used this Y2H pooling strategy, referred to as 'PI-pool-on-random pool', to screen a cyclic peptide library for interactions against Bcr-Abl domains. Seven Bcr-Abl domain baits and LexA control were pooled using the PI deconvolution pooling strategy. The cyclic peptide library was randomly arrayed into pools of ~1000 members. Cyclic peptides were isolated for six of seven Bcr-Abl domain baits. The PI-pool-on-random pooling Y2H assay using high stringency Y2H reporter genes produced no false positives, while missing 20% of real interactions. The high specificity of the PI-pool-on-random pooling Y2H assay eliminates the need to validate interactions. Pooling of baits and preys allows large prey libraries to be screened against multiple baits and takes advantage of PI-deconvolution to determine protein interactions with high sensitivity and specificity. The scalability of this assay allows the peptide preys to be isolated in a high throughput manner against a large number of baits and provides an avenue for generating affinity agents against entire proteomes in the future.
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Affiliation(s)
- K Barreto
- Department of Biochemistry, University of Saskatchewan, Saskatoon, SK, Canada S7N 5E5
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Modulation of fungal sensitivity to staurosporine by targeting proteins identified by transcriptional profiling. Fungal Genet Biol 2011; 48:1130-8. [PMID: 22001288 DOI: 10.1016/j.fgb.2011.09.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2011] [Revised: 09/28/2011] [Accepted: 09/29/2011] [Indexed: 12/19/2022]
Abstract
An analysis of the time-dependent genetic response to the death-inducer staurosporine was performed in Neurospora crassa by transcriptional profiling. Staurosporine induced two major genes encoding an ABC transporter and a protein with similarity to regulatory subunits of potassium channels. The transcriptional response is dependent on the activity of a novel transcription factor. Deletion mutants in differentially expressed genes displayed altered sensitivity to staurosporine, underscoring significant proteins involved in the response to the drug. A null-mutant of the ABC transporter (abc3) is extremely sensitive to staurosporine, accumulates more staurosporine than the wild type strain and is defective in energy-dependent export of the drug, indicating that the ABC3 protein is the first described staurosporine transporter. It was located in the plasma membrane by immunofluorescence microscopy. The combination of inhibitors of ABC transporters or of potassium channels with staurosporine leads to an enhanced activity against N. crassa and pathogenic fungi paving the way to the development of more potent and specific antifungals. Our results highlight the general use of transcriptional profiling for the identification of novel proteins involved in cell death and their potential use as drug targets.
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6
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Chu MLH, Lang Z, Chavas LMG, Neres J, Fedorova OS, Tabernero L, Cherry M, Williams DH, Douglas KT, Eyers PA. Biophysical and X-ray crystallographic analysis of Mps1 kinase inhibitor complexes. Biochemistry 2010; 49:1689-701. [PMID: 20099905 DOI: 10.1021/bi901970c] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
The dual-specificity protein kinase monopolar spindle 1 (Mps1) is a central component of the mitotic spindle assembly checkpoint (SAC), a sensing mechanism that prevents anaphase until all chromosomes are bioriented on the metaphase plate. Partial depletion of Mps1 protein levels sensitizes transformed, but not untransformed, human cells to therapeutic doses of the anticancer agent Taxol, making it an attractive novel therapeutic cancer target. We have previously determined the X-ray structure of the catalytic domain of human Mps1 in complex with the anthrapyrazolone kinase inhibitor SP600125. In order to validate distinct inhibitors that target this enzyme and improve our understanding of nucleotide binding site architecture, we now report a biophysical and structural evaluation of the Mps1 catalytic domain in the presence of ATP and the aspecific model kinase inhibitor staurosporine. Collective in silico, enzymatic, and fluorescent screens also identified several new lead quinazoline Mps1 inhibitors, including a low-affinity compound termed Compound 4 (Cpd 4), whose interaction with the Mps1 kinase domain was further characterized by X-ray crystallography. A novel biophysical analysis demonstrated that the intrinsic fluorescence of SP600125 changed markedly upon Mps1 binding, allowing spectrophotometric displacement analysis and determination of dissociation constants for ATP-competitive Mps1 inhibitors. By illuminating the structure of the Mps1 ATP-binding site our results provide novel biophysical insights into Mps1-ligand interactions that will be useful for the development of specific Mps1 inhibitors, including those employing a therapeutically validated quinazoline template.
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Affiliation(s)
- Matthew L H Chu
- Wolfson Centre for Structure-Based Rational Design of Molecular Diagnostics, School of Pharmacy and Pharmaceutical Sciences, University of Manchester, Manchester M13 9PL, UK
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7
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Bisubstrate fluorescent probes and biosensors in binding assays for HTS of protein kinase inhibitors. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2010; 1804:541-6. [DOI: 10.1016/j.bbapap.2009.10.019] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2009] [Revised: 10/18/2009] [Accepted: 10/21/2009] [Indexed: 11/20/2022]
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8
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Smyth LA, Collins I. Measuring and interpreting the selectivity of protein kinase inhibitors. J Chem Biol 2009; 2:131-51. [PMID: 19568781 PMCID: PMC2725273 DOI: 10.1007/s12154-009-0023-9] [Citation(s) in RCA: 133] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2009] [Revised: 05/08/2009] [Accepted: 05/15/2009] [Indexed: 12/23/2022] Open
Abstract
Protein kinase inhibitors are a well-established class of clinically useful drugs, particularly for the treatment of cancer. Achieving inhibitor selectivity for particular protein kinases often remains a significant challenge in the development of new small molecules as drugs or as tools for chemical biology research. This review summarises the methodologies available for measuring kinase inhibitor selectivity, both in vitro and in cells. The interpretation of kinase inhibitor selectivity data is discussed, particularly with reference to the structural biology of the protein targets. Measurement and prediction of kinase inhibitor selectivity will be important for the development of new multi-targeted kinase inhibitors.
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Affiliation(s)
- Lynette A Smyth
- Cancer Research UK Centre for Cancer Therapeutics, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK,
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9
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Vaasa A, Viil I, Enkvist E, Viht K, Raidaru G, Lavogina D, Uri A. High-affinity bisubstrate probe for fluorescence anisotropy binding/displacement assays with protein kinases PKA and ROCK. Anal Biochem 2008; 385:85-93. [PMID: 19017524 DOI: 10.1016/j.ab.2008.10.030] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2008] [Revised: 10/03/2008] [Accepted: 10/15/2008] [Indexed: 10/21/2022]
Abstract
The bisubstrate fluorescent probe ARC-583 (Adc-Ahx-(D-Arg)(6)-d-Lys(5-TAMRA)-NH2) and its application for the characterization of both ATP- and protein/peptide substrate-competitive inhibitors of protein kinases PKA (cyclic AMP-dependent protein kinase) and ROCK (rho kinase) in fluorescence polarization-based assay are described. High affinity of the probe (K(D)=0.48 nM toward PKA) enables its application for the characterization of inhibitors with nanomolar and micromolar potency and determination of the active concentration of the kinase in individual experiments as well as in the high-throughput screening format. The probe can be used for the assessment of protein-protein interactions (e.g., between regulatory and catalytic subunits of PKA) and as a cyclic AMP biosensor.
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Affiliation(s)
- Angela Vaasa
- Institute of Chemistry, University of Tartu, 2 Jakobi St., 51014 Tartu, Estonia
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