Cyclin-Dependent Kinase 11 (CDK11)
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Defective Lymphocyte Chemotaxis in Я-Arrestin2- and GRK6-Deficient Mice
Defective lymphocyte chemotaxis in -arrestin2- and GRK6-deficient mice Alan M. Fong*, Richard T. Premont*, Ricardo M. Richardson*, Yen-Rei A. Yu†, Robert J. Lefkowitz*‡§, and Dhavalkumar D. Patel*†¶ Departments of *Medicine, ‡Biochemistry, and †Immunology, and §Howard Hughes Medical Institute, Duke University Medical Center, Durham, NC 27710 Contributed by Robert J. Lefkowitz, April 4, 2002 Lymphocyte chemotaxis is a complex process by which cells move kinase, extracellular receptor kinase, and c-jun terminal kinase within tissues and across barriers such as vascular endothelium and activation (9–12), they might also act as positive regulators of is usually stimulated by chemokines such as stromal cell-derived chemotaxis. To evaluate the role of the GRK-arrestin pathway factor-1 (CXCL12) acting via G protein-coupled receptors. Because in chemotaxis, we studied the chemotactic responses of lym- members of this receptor family are regulated (‘‘desensitized’’) by phocytes from -arrestin- and GRK-deficient mice toward G protein-coupled receptor kinase (GRK)-mediated receptor phos- gradients of stromal cell-derived factor 1 (CXCL12), a well  phorylation and -arrestin binding, we examined signaling and characterized chemokine whose receptor is CXCR4, a core- chemotactic responses in splenocytes derived from knockout mice ceptor for HIV. deficient in various -arrestins and GRKs, with the expectation that these responses might be enhanced. Knockouts of -arrestin2, Materials and Methods GRK5, and GRK6 were examined because all three proteins are :expressed at high levels in purified mouse CD3؉ T and B220؉ B Mice. The following mouse strains were used in this study splenocytes. CXCL12 stimulation of membrane GTPase activity was -arrestin2-deficient (back-crossed for six generations onto the unaffected in splenocytes derived from GRK5-deficient mice but C57͞BL6 background; ref. -
Combined Integrin Phosphoproteomic Analyses and Small Interfering RNA–Based Functional Screening Identify Key Regulators for Cancer Cell Adhesion and Migration
Published OnlineFirst April 7, 2009; DOI: 10.1158/0008-5472.CAN-08-2515 Published Online First on April 7, 2009 as 10.1158/0008-5472.CAN-08-2515 Research Article Combined Integrin Phosphoproteomic Analyses and Small Interfering RNA–Based Functional Screening Identify Key Regulators for Cancer Cell Adhesion and Migration Yanling Chen,1 Bingwen Lu,2 Qingkai Yang,1 Colleen Fearns,3 John R. Yates III,2 and Jiing-Dwan Lee1 Departments of 1Immunology, 2Chemical Physiology, and 3Chemistry, The Scripps Research Institute, La Jolla, California Abstract cytoskeletal components (2, 7) and regulation of cell survival, Integrins interact with extracellular matrix (ECM) and deliver proliferation, differentiation, cell cycle, and migration (8, 9). Understanding the mechanism by which integrins modulate these intracellular signaling for cell proliferation, survival, and motility. During tumor metastasis, integrin-mediated cell cellular activities is of significant biological importance. adhesion to and migration on the ECM proteins are required The most common cancers in human include breast cancer, for cancer cell survival and adaptation to the new microen- prostate cancer, lung cancer, colon cancer, and ovarian cancer (10, 11), and their metastasis is the leading cause of mortality in vironment. Using stable isotope labeling by amino acids in cell cancer patients, causing 90% of deaths from solid tumors (11, 12). culture–mass spectrometry, we profiled the phosphoproteo- During the process of metastasis, tumor cells leave the primary mic changes induced by the interactions of cell integrins with site, travel via blood and/or lymphatic circulatory systems, attach type I collagen, the most common ECM substratum. Integrin- to the substratum of ECM at a distant site, and establish a ECM interactions modulate phosphorylation of 517 serine, secondary tumor, accompanied by angiogenesis of the newly threonine, or tyrosine residues in 513 peptides, corresponding formed neoplasm (12). -
Investigating the Role of Cdk11in Animal Cytokinesis
Investigating the Role of CDK11 in Animal Cytokinesis by Thomas Clifford Panagiotou A thesis submitted in conformity with the requirements for the degree of Master of Science Department of Molecular Genetics University of Toronto © Copyright by Thomas Clifford Panagiotou (2020) Investigating the Role of CDK11 in Animal Cytokinesis Thomas Clifford Panagiotou Master of Science Department of Molecular Genetics University of Toronto 2020 Abstract Finely tuned spatio-temporal regulation of cell division is required for genome stability. Cytokinesis constitutes the final stages of cell division, from chromosome segregation to the physical separation of cells, abscission. Abscission is tightly regulated to ensure it occurs after earlier cytokinetic events, like the maturation of the stem body, the regulatory platform for abscission. Active Aurora B kinase enforces the abscission checkpoint, which blocks abscission until chromosomes have been cleared from the cytokinetic machinery. Currently, it is unclear how this checkpoint is overcome. Here, I demonstrate that the cyclin-dependent kinase CDK11 is required for cytokinesis. Both inhibition and depletion of CDK11 block abscission. Furthermore, the mitosis-specific CDK11p58 kinase localizes to the stem body, where its kinase activity rescues the defects of CDK11 depletion and inhibition. These results suggest a model whereby CDK11p58 antagonizes Aurora B kinase to overcome the abscission checkpoint to allow for successful completion of cytokinesis. ii Acknowledgments I am very grateful for the support of my family and friends throughout my studies. I would also like to express my deep gratitude to Wilde Lab members, both past and present, for their advice and collaboration. In particular, I am very grateful to Matthew Renshaw, whose work comprises part of this thesis. -
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Electronic Supplementary Material (ESI) for RSC Advances. This journal is © The Royal Society of Chemistry 2014 Supporting Information Design and synthesis of pyrrole–5-(2,6-dichlorobenzyl)sulfonylindolin-2-ones with C- 3’ side chains as potent Met kinase inhibitors Chia-Wei Liu,a Chun-Liang Lai,a Yu-Hsiang Lin,a Li-Wei Teng,a Sheng-chuan Yang,a Win-Yin Wei,a Shu Fu Lin,a Ju-Ying Yang,a Hung-Jyun Huang,a Ru-Wen Wang,a Chao-Cheng Chiang,a Mei-Hui Lee,a Yu- Chuan Wang,b Shih-Hsien Chuang,a Jia-Ming Chang,a Ying-Shuan E. Lee,a and Jiann-Jyh Huang*a,b aDevelopment Center for Biotechnology, No. 101, Lane 169, Kangning St., Xizhi District, New Taipei City 22180, Taiwan bDepartment of Applied Chemistry, National Chiayi University, No. 300, Syuefu Rd., Chiayi City 60004, Taiwan *Corresponding Author. Tel.: +886 5 271 7959; Fax: +886 5 271 7901. E-mail address: [email protected] (J.-J. Huang) Table of Contents: Page Supporting Figure. Ligplot diagrams of the ATP binding site of Met S2 complexed with compounds 2 and 20. Supporting Table. Kinase profiling data of compound 20. S3 References S10 - S1 - Supporting Figure. Ligplot diagrams1 of the ATP binding site of Met complexed with compounds 2 and 20: (A) Met with 2, and (B) Met with 20. - S2 - Supporting Table. Kinase profiling data of 20. Ambit KinomeScan Kinase Profiling (1.0 μM test concentration): Percentage of Percentage of Ambit Gene Symbol control (%) Ambit Gene Symbol control (%) 20 20 AAK1 68 ARK5 27 ABL1(E255K)-phosphorylated 85 ASK1 100 ABL1(F317I)-nonphosphorylated 78 ASK2 67 -
Profiling Data
Compound Name DiscoveRx Gene Symbol Entrez Gene Percent Compound Symbol Control Concentration (nM) JNK-IN-8 AAK1 AAK1 69 1000 JNK-IN-8 ABL1(E255K)-phosphorylated ABL1 100 1000 JNK-IN-8 ABL1(F317I)-nonphosphorylated ABL1 87 1000 JNK-IN-8 ABL1(F317I)-phosphorylated ABL1 100 1000 JNK-IN-8 ABL1(F317L)-nonphosphorylated ABL1 65 1000 JNK-IN-8 ABL1(F317L)-phosphorylated ABL1 61 1000 JNK-IN-8 ABL1(H396P)-nonphosphorylated ABL1 42 1000 JNK-IN-8 ABL1(H396P)-phosphorylated ABL1 60 1000 JNK-IN-8 ABL1(M351T)-phosphorylated ABL1 81 1000 JNK-IN-8 ABL1(Q252H)-nonphosphorylated ABL1 100 1000 JNK-IN-8 ABL1(Q252H)-phosphorylated ABL1 56 1000 JNK-IN-8 ABL1(T315I)-nonphosphorylated ABL1 100 1000 JNK-IN-8 ABL1(T315I)-phosphorylated ABL1 92 1000 JNK-IN-8 ABL1(Y253F)-phosphorylated ABL1 71 1000 JNK-IN-8 ABL1-nonphosphorylated ABL1 97 1000 JNK-IN-8 ABL1-phosphorylated ABL1 100 1000 JNK-IN-8 ABL2 ABL2 97 1000 JNK-IN-8 ACVR1 ACVR1 100 1000 JNK-IN-8 ACVR1B ACVR1B 88 1000 JNK-IN-8 ACVR2A ACVR2A 100 1000 JNK-IN-8 ACVR2B ACVR2B 100 1000 JNK-IN-8 ACVRL1 ACVRL1 96 1000 JNK-IN-8 ADCK3 CABC1 100 1000 JNK-IN-8 ADCK4 ADCK4 93 1000 JNK-IN-8 AKT1 AKT1 100 1000 JNK-IN-8 AKT2 AKT2 100 1000 JNK-IN-8 AKT3 AKT3 100 1000 JNK-IN-8 ALK ALK 85 1000 JNK-IN-8 AMPK-alpha1 PRKAA1 100 1000 JNK-IN-8 AMPK-alpha2 PRKAA2 84 1000 JNK-IN-8 ANKK1 ANKK1 75 1000 JNK-IN-8 ARK5 NUAK1 100 1000 JNK-IN-8 ASK1 MAP3K5 100 1000 JNK-IN-8 ASK2 MAP3K6 93 1000 JNK-IN-8 AURKA AURKA 100 1000 JNK-IN-8 AURKA AURKA 84 1000 JNK-IN-8 AURKB AURKB 83 1000 JNK-IN-8 AURKB AURKB 96 1000 JNK-IN-8 AURKC AURKC 95 1000 JNK-IN-8 -
Genome-Wide Sirna Screen for Modulators of Cell Death Induced by Proteasome Inhibitor Bortezomib
Published OnlineFirst May 11, 2010; DOI: 10.1158/0008-5472.CAN-09-4428 Published OnlineFirst on May 11, 2010 as 10.1158/0008-5472.CAN-09-4428 Integrated Systems and Technologies Cancer Research Genome-Wide siRNA Screen for Modulators of Cell Death Induced by Proteasome Inhibitor Bortezomib Siquan Chen1, Jonathan L. Blank2, Theodore Peters1, Xiaozhen J. Liu2, David M. Rappoli1, Michael D. Pickard3, Saurabh Menon1, Jie Yu2, Denise L. Driscoll2, Trupti Lingaraj2, Anne L. Burkhardt2, Wei Chen2, Khristofer Garcia1, Darshan S. Sappal2, Jesse Gray1, Paul Hales1, Patrick J. Leroy2, John Ringeling1, Claudia Rabino2, James J. Spelman2, Jay P. Morgenstern1, and Eric S. Lightcap2 Abstract Multiple pathways have been proposed to explain how proteasome inhibition induces cell death, but me- chanisms remain unclear. To approach this issue, we performed a genome-wide siRNA screen to evaluate the genetic determinants that confer sensitivity to bortezomib (Velcade (R); PS-341). This screen identified 100 genes whose knockdown affected lethality to bortezomib and to a structurally diverse set of other proteasome inhibitors. A comparison of three cell lines revealed that 39 of 100 genes were commonly linked to cell death. We causally linked bortezomib-induced cell death to the accumulation of ASF1B, Myc, ODC1, Noxa, BNIP3, Gadd45α, p-SMC1A, SREBF1, and p53. Our results suggest that proteasome inhibition promotes cell death primarily by dysregulating Myc and polyamines, interfering with protein translation, and disrupting essential DNA damage repair pathways, leading to programmed cell death. Cancer Res; 70(11); OF1–9. ©2010 AACR. Introduction active oxygen species (ROS), stabilization of Myc and Noxa, and induction of endoplasmic reticulum (ER) stress, any of The primary targets of most cancer chemotherapies are which may trigger cell death (1–4). -
The Emerging Roles and Therapeutic Potential of Cyclin- Dependent Kinase 11 (CDK11) in Human Cancer
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 26 Review The emerging roles and therapeutic potential of cyclin- dependent kinase 11 (CDK11) in human cancer Yubing Zhou1,2, Jacson K. Shen2, Francis J. Hornicek2, Quancheng Kan1 and Zhenfeng Duan1,2 1 Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China 2 Sarcoma Biology Laboratory, Center for Sarcoma and Connective Tissue Oncology, Massachusetts General Hospital, Boston, MA, United States of America Correspondence to: Quancheng Kan, email: [email protected] Correspondence to: Zhenfeng Duan, email: [email protected] Keywords: CDK11, CDKs inhibitor, cell cycle, therapeutic target, cancer therapy Received: January 20, 2016 Accepted: March 28, 2016 Published: March 31, 2016 ABSTRACT Overexpression and/or hyperactivation of cyclin-dependent kinases (CDKs) are common features of most cancer types. CDKs have been shown to play important roles in tumor cell proliferation and growth by controlling cell cycle, transcription, and RNA splicing. CDK4/6 inhibitor palbociclib has been recently approved by the FDA for the treatment of breast cancer. CDK11 is a serine/threonine protein kinase in the CDK family and recent studies have shown that CDK11 also plays critical roles in cancer cell growth and proliferation. A variety of genetic and epigenetic events may cause universal overexpression of CDK11 in human cancers. Inhibition of CDK11 has been shown to lead to cancer cell death and apoptosis. Significant evidence has suggested that CDK11 may be a novel and promising therapeutic target for the treatment of cancers. This review will focus on the emerging roles of CDK11 in human cancers, and provide a proof-of-principle for continued efforts toward targeting CDK11 for effective cancer treatment. -
Supplementary Table 1. in Vitro Side Effect Profiling Study for LDN/OSU-0212320. Neurotransmitter Related Steroids
Supplementary Table 1. In vitro side effect profiling study for LDN/OSU-0212320. Percent Inhibition Receptor 10 µM Neurotransmitter Related Adenosine, Non-selective 7.29% Adrenergic, Alpha 1, Non-selective 24.98% Adrenergic, Alpha 2, Non-selective 27.18% Adrenergic, Beta, Non-selective -20.94% Dopamine Transporter 8.69% Dopamine, D1 (h) 8.48% Dopamine, D2s (h) 4.06% GABA A, Agonist Site -16.15% GABA A, BDZ, alpha 1 site 12.73% GABA-B 13.60% Glutamate, AMPA Site (Ionotropic) 12.06% Glutamate, Kainate Site (Ionotropic) -1.03% Glutamate, NMDA Agonist Site (Ionotropic) 0.12% Glutamate, NMDA, Glycine (Stry-insens Site) 9.84% (Ionotropic) Glycine, Strychnine-sensitive 0.99% Histamine, H1 -5.54% Histamine, H2 16.54% Histamine, H3 4.80% Melatonin, Non-selective -5.54% Muscarinic, M1 (hr) -1.88% Muscarinic, M2 (h) 0.82% Muscarinic, Non-selective, Central 29.04% Muscarinic, Non-selective, Peripheral 0.29% Nicotinic, Neuronal (-BnTx insensitive) 7.85% Norepinephrine Transporter 2.87% Opioid, Non-selective -0.09% Opioid, Orphanin, ORL1 (h) 11.55% Serotonin Transporter -3.02% Serotonin, Non-selective 26.33% Sigma, Non-Selective 10.19% Steroids Estrogen 11.16% 1 Percent Inhibition Receptor 10 µM Testosterone (cytosolic) (h) 12.50% Ion Channels Calcium Channel, Type L (Dihydropyridine Site) 43.18% Calcium Channel, Type N 4.15% Potassium Channel, ATP-Sensitive -4.05% Potassium Channel, Ca2+ Act., VI 17.80% Potassium Channel, I(Kr) (hERG) (h) -6.44% Sodium, Site 2 -0.39% Second Messengers Nitric Oxide, NOS (Neuronal-Binding) -17.09% Prostaglandins Leukotriene, -
Targeting CDK2 Overcomes Melanoma Resistance Against BRAF and Hsp90 Inhibitors
Targeting CDK2 overcomes melanoma resistance against BRAF and Hsp90 inhibitors Downloaded from: https://research.chalmers.se, 2019-05-11 18:56 UTC Citation for the original published paper (version of record): Azimi, A., Caramuta, S., Seashore-Ludlow, B. et al (2018) Targeting CDK2 overcomes melanoma resistance against BRAF and Hsp90 inhibitors Molecular Systems Biology, 14(3) http://dx.doi.org/10.15252/msb.20177858 N.B. When citing this work, cite the original published paper. research.chalmers.se offers the possibility of retrieving research publications produced at Chalmers University of Technology. It covers all kind of research output: articles, dissertations, conference papers, reports etc. since 2004. research.chalmers.se is administrated and maintained by Chalmers Library (article starts on next page) Published online: March 5, 2018 Article Targeting CDK2 overcomes melanoma resistance against BRAF and Hsp90 inhibitors Alireza Azimi1,†, Stefano Caramuta1,†, Brinton Seashore-Ludlow2,†, Johan Boström3 , Jonathan L Robinson4, Fredrik Edfors5, Rainer Tuominen1, Kristel Kemper6, Oscar Krijgsman6 , Daniel S Peeper6 , Jens Nielsen4 , Johan Hansson1, Suzanne Egyhazi Brage1, Mikael Altun3 , Mathias Uhlen5 & Gianluca Maddalo5,* Abstract Introduction Novel therapies are undergoing clinical trials, for example, the Malignant melanoma has the highest somatic mutational rate Hsp90 inhibitor, XL888, in combination with BRAF inhibitors for among cancers (Alexandrov et al, 2013) and its incidence is steadily the treatment of therapy-resistant melanomas. Unfortunately, our increasing (https://training.seer.cancer.gov/melanoma/intro/). In data show that this combination elicits a heterogeneous response the majority of the cases, it harbors BRAF (~60%) or NRAS (~20%) in a panel of melanoma cell lines including PDX-derived models. -
High Constitutive Cytokine Release by Primary Human Acute Myeloid Leukemia Cells Is Associated with a Specific Intercellular Communication Phenotype
Supplementary Information High Constitutive Cytokine Release by Primary Human Acute Myeloid Leukemia Cells Is Associated with a Specific Intercellular Communication Phenotype Håkon Reikvam 1,2,*, Elise Aasebø 1, Annette K. Brenner 2, Sushma Bartaula-Brevik 1, Ida Sofie Grønningsæter 2, Rakel Brendsdal Forthun 2, Randi Hovland 3,4 and Øystein Bruserud 1,2 1 Department of Clinical Science, University of Bergen, 5020, Bergen, Norway 2 Department of Medicine, Haukeland University Hospital, 5021, Bergen, Norway 3 Department of Medical Genetics, Haukeland University Hospital, 5021, Bergen, Norway 4 Institute of Biomedicine, University of Bergen, 5020, Bergen, Norway * Correspondence: [email protected]; Tel.: +55-97-50-00 J. Clin. Med. 2019, 8, x 2 of 36 Figure S1. Mutational studies in a cohort of 71 AML patients. The figure shows the number of patients with the various mutations (upper), the number of mutations in for each patient (middle) and the number of main classes with mutation(s) in each patient (lower). 2 J. Clin. Med. 2019, 8, x; doi: www.mdpi.com/journal/jcm J. Clin. Med. 2019, 8, x 3 of 36 Figure S2. The immunophenotype of primary human AML cells derived from 62 unselected patients. The expression of the eight differentiation markers CD13, CD14, CD15, CD33, CD34, CD45, CD117 and HLA-DR was investigated for 62 of the 71 patients included in our present study. We performed an unsupervised hierarchical cluster analysis and identified four patient main clusters/patient subsets. The mutational profile for each f the 62 patients is also given (middle), no individual mutation of main class of mutations showed any significant association with any of the for differentiation marker clusters (middle). -
Selective Engagement of G Protein Coupled Receptor Kinases (Grks) Encodes Distinct Functions of Biased Ligands
Selective engagement of G protein coupled receptor kinases (GRKs) encodes distinct functions of biased ligands David A. Zidara, Jonathan D. Violina, Erin J. Whalena, and Robert J. Lefkowitza,b,c,1 Departments of aMedicine, bBiochemistry, and cHoward Hughes Medical Institute, Duke University Medical Center, Durham, NC 27710 Contributed by Robert J. Lefkowitz, April 24, 2009 (sent for review February 13, 2009) CCL19 and CCL21 are endogenous agonists for the seven-trans- to be uniquely required for -arrestin-mediated MAP kinase membrane receptor CCR7. They are equally active in promoting G signaling (16, 17). protein stimulation and chemotaxis. Yet, we find that they result The chemokine receptor CCR7 is particularly important for in striking differences in activation of the G protein-coupled immune responses requiring the coordinated interaction of receptor kinase (GRK)/ß-arrestin system. CCL19 leads to robust various cell types within lymphoid tissues (18, 19). It is unique CCR7 phosphorylation and -arrestin2 recruitment catalyzed by for its high expression on mature, naïve T lymphocytes and is both GRK3 and GRK6 whereas CCL21 activates GRK6 alone. This vital for homeostatic recirculation of these cells through sec- differential GRK activation leads to distinct functional conse- ondary lymphoid tissues. CCR7 has two endogenous ligands, quences. Although each ligand leads to -arrestin2 recruitment, CCL19 and CCL21, which have evolved from a series of complex only CCL19 leads to redistribution of -arrestin2-GFP into endocytic gene duplications and retain 32% amino acid sequence homol- vesicles and classical receptor desensitization. In contrast, these ago- ogy (20–22). They are predicted to be structurally similar except  nists are both capable of signaling through GRK6 and -arrestin2 to that CCL21 has a conserved motif consisting of an additional 37 ERK kinases. -
Detection of Selection Signatures in Farmed Coho Salmon (Oncorhynchus Kisutch) Using Dense Genome‑Wide Information M
www.nature.com/scientificreports OPEN Detection of selection signatures in farmed coho salmon (Oncorhynchus kisutch) using dense genome‑wide information M. E. López1, M. I. Cádiz2, E. B. Rondeau3, B. F. Koop3 & J. M. Yáñez2,4* Animal domestication and artifcial selection give rise to gradual changes at the genomic level in populations. Subsequent footprints of selection, known as selection signatures or selective sweeps, have been traced in the genomes of many animal livestock species by exploiting variation in linkage disequilibrium patterns and/or reduction of genetic diversity. Domestication of most aquatic species is recent in comparison with land animals, and salmonids are one of the most important fsh species in aquaculture. Coho salmon (Oncorhynchus kisutch), cultivated primarily in Chile, has been subjected to breeding programs to improve growth, disease resistance traits, and fesh color. This study aimed to identify selection signatures that may be involved in adaptation to culture conditions and traits of productive interest. To do so, individuals of two domestic populations cultured in Chile were genotyped with 200 thousand SNPs, and analyses were conducted using iHS, XP‑EHH and CLR. Several signatures of selection on diferent chromosomal regions were detected across both populations. Some of the identifed regions under selection contained genes such anapc2, alad, chp2 and myn, which have been previously associated with body weight in Atlantic salmon, or sec24d and robo1, which have been associated with resistance to Piscirickettsia salmonis in coho salmon. Findings in our study can contribute to an integrated genome‑wide map of selection signatures, to help identify the genetic mechanisms of phenotypic diversity in coho salmon.