PKIS Deep Dive Yields a Chemical Starting Point for Dark Kinases and a Cell Active BRSK2 Inhibitor Tigist Y
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Evolution, Expression and Meiotic Behavior of Genes Involved in Chromosome Segregation of Monotremes
G C A T T A C G G C A T genes Article Evolution, Expression and Meiotic Behavior of Genes Involved in Chromosome Segregation of Monotremes Filip Pajpach , Linda Shearwin-Whyatt and Frank Grützner * School of Biological Sciences, The University of Adelaide, Adelaide, SA 5005, Australia; fi[email protected] (F.P.); [email protected] (L.S.-W.) * Correspondence: [email protected] Abstract: Chromosome segregation at mitosis and meiosis is a highly dynamic and tightly regulated process that involves a large number of components. Due to the fundamental nature of chromosome segregation, many genes involved in this process are evolutionarily highly conserved, but duplica- tions and functional diversification has occurred in various lineages. In order to better understand the evolution of genes involved in chromosome segregation in mammals, we analyzed some of the key components in the basal mammalian lineage of egg-laying mammals. The chromosome passenger complex is a multiprotein complex central to chromosome segregation during both mitosis and meio- sis. It consists of survivin, borealin, inner centromere protein, and Aurora kinase B or C. We confirm the absence of Aurora kinase C in marsupials and show its absence in both platypus and echidna, which supports the current model of the evolution of Aurora kinases. High expression of AURKBC, an ancestor of AURKB and AURKC present in monotremes, suggests that this gene is performing all necessary meiotic functions in monotremes. Other genes of the chromosome passenger complex complex are present and conserved in monotremes, suggesting that their function has been preserved Citation: Pajpach, F.; in mammals. -
Supplementary Information Material and Methods
MCT-11-0474 BKM120: a potent and specific pan-PI3K inhibitor Supplementary Information Material and methods Chemicals The EGFR inhibitor NVP-AEE788 (Novartis), the Jak inhibitor I (Merck Calbiochem, #420099) and anisomycin (Alomone labs, # A-520) were prepared as 50 mM stock solutions in 100% DMSO. Doxorubicin (Adriablastin, Pfizer), EGF (Sigma Ref: E9644), PDGF (Sigma, Ref: P4306) and IL-4 (Sigma, Ref: I-4269) stock solutions were prepared as recommended by the manufacturer. For in vivo administration: Temodal (20 mg Temozolomide capsules, Essex Chemie AG, Luzern) was dissolved in 4 mL KZI/glucose (20/80, vol/vol); Taxotere was bought as 40 mg/mL solution (Sanofi Aventis, France), and prepared in KZI/glucose. Antibodies The primary antibodies used were as follows: anti-S473P-Akt (#9271), anti-T308P-Akt (#9276,), anti-S9P-GSK3β (#9336), anti-T389P-p70S6K (#9205), anti-YP/TP-Erk1/2 (#9101), anti-YP/TP-p38 (#9215), anti-YP/TP-JNK1/2 (#9101), anti-Y751P-PDGFR (#3161), anti- p21Cip1/Waf1 (#2946), anti-p27Kip1 (#2552) and anti-Ser15-p53 (#9284) antibodies were from Cell Signaling Technologies; anti-Akt (#05-591), anti-T32P-FKHRL1 (#06-952) and anti- PDGFR (#06-495) antibodies were from Upstate; anti-IGF-1R (#SC-713) and anti-EGFR (#SC-03) antibodies were from Santa Cruz; anti-GSK3α/β (#44610), anti-Y641P-Stat6 (#611566), anti-S1981P-ATM (#200-301), anti-T2609 DNA-PKcs (#GTX24194) and anti- 1 MCT-11-0474 BKM120: a potent and specific pan-PI3K inhibitor Y1316P-IGF-1R were from Bio-Source International, Becton-Dickinson, Rockland, GenTex and internal production, respectively. The 4G10 antibody was from Millipore (#05-321MG). -
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 -
Kinase Profiling Book
Custom and Pre-Selected Kinase Prof iling to f it your Budget and Needs! As of July 1, 2021 19.8653 mm 128 196 12 Tyrosine Serine/Threonine Lipid Kinases Kinases Kinases Carna Biosciences, Inc. 2007 Carna Biosciences, Inc. Profiling Assays available from Carna Biosciences, Inc. As of July 1, 2021 Page Kinase Name Assay Platform Page Kinase Name Assay Platform 4 ABL(ABL1) MSA 21 EGFR[T790M/C797S/L858R] MSA 4 ABL(ABL1)[E255K] MSA 21 EGFR[T790M/L858R] MSA 4 ABL(ABL1)[T315I] MSA 21 EPHA1 MSA 4 ACK(TNK2) MSA 21 EPHA2 MSA 4 AKT1 MSA 21 EPHA3 MSA 5 AKT2 MSA 22 EPHA4 MSA 5 AKT3 MSA 22 EPHA5 MSA 5 ALK MSA 22 EPHA6 MSA 5 ALK[C1156Y] MSA 22 EPHA7 MSA 5 ALK[F1174L] MSA 22 EPHA8 MSA 6 ALK[G1202R] MSA 23 EPHB1 MSA 6 ALK[G1269A] MSA 23 EPHB2 MSA 6 ALK[L1196M] MSA 23 EPHB3 MSA 6 ALK[R1275Q] MSA 23 EPHB4 MSA 6 ALK[T1151_L1152insT] MSA 23 Erk1(MAPK3) MSA 7 EML4-ALK MSA 24 Erk2(MAPK1) MSA 7 NPM1-ALK MSA 24 Erk5(MAPK7) MSA 7 AMPKα1/β1/γ1(PRKAA1/B1/G1) MSA 24 FAK(PTK2) MSA 7 AMPKα2/β1/γ1(PRKAA2/B1/G1) MSA 24 FER MSA 7 ARG(ABL2) MSA 24 FES MSA 8 AurA(AURKA) MSA 25 FGFR1 MSA 8 AurA(AURKA)/TPX2 MSA 25 FGFR1[V561M] MSA 8 AurB(AURKB)/INCENP MSA 25 FGFR2 MSA 8 AurC(AURKC) MSA 25 FGFR2[V564I] MSA 8 AXL MSA 25 FGFR3 MSA 9 BLK MSA 26 FGFR3[K650E] MSA 9 BMX MSA 26 FGFR3[K650M] MSA 9 BRK(PTK6) MSA 26 FGFR3[V555L] MSA 9 BRSK1 MSA 26 FGFR3[V555M] MSA 9 BRSK2 MSA 26 FGFR4 MSA 10 BTK MSA 27 FGFR4[N535K] MSA 10 BTK[C481S] MSA 27 FGFR4[V550E] MSA 10 BUB1/BUB3 MSA 27 FGFR4[V550L] MSA 10 CaMK1α(CAMK1) MSA 27 FGR MSA 10 CaMK1δ(CAMK1D) MSA 27 FLT1 MSA 11 CaMK2α(CAMK2A) MSA 28 -
Phosphorylation of Threonine 3 on Histone H3 by Haspin Kinase Is Required for Meiosis I in Mouse Oocytes
ß 2014. Published by The Company of Biologists Ltd | Journal of Cell Science (2014) 127, 5066–5078 doi:10.1242/jcs.158840 RESEARCH ARTICLE Phosphorylation of threonine 3 on histone H3 by haspin kinase is required for meiosis I in mouse oocytes Alexandra L. Nguyen, Amanda S. Gentilello, Ahmed Z. Balboula*, Vibha Shrivastava, Jacob Ohring and Karen Schindler` ABSTRACT a lesser extent. However, it is not known whether haspin is required for meiosis in oocytes. To date, the only known haspin substrates Meiosis I (MI), the division that generates haploids, is prone to are threonine 3 of histone H3 (H3T3), serine 137 of macroH2A and errors that lead to aneuploidy in females. Haspin is a kinase that threonine 57 of CENP-T (Maiolica et al., 2014). Knockdown or phosphorylates histone H3 on threonine 3, thereby recruiting Aurora inhibition of haspin in mitotically dividing tissue culture cell kinase B (AURKB) and the chromosomal passenger complex lines reveal that phosphorylation of H3T3 is essential for the (CPC) to kinetochores to regulate mitosis. Haspin and AURKC, an alignment of chromosomes at the metaphase plate (Dai and AURKB homolog, are enriched in germ cells, yet their significance Higgins, 2005; Dai et al., 2005), regulation of chromosome in regulating MI is not fully understood. Using inhibitors and cohesion (Dai et al., 2009) and establishing a bipolar spindle (Dai overexpression approaches, we show a role for haspin during MI et al., 2009). In mitotic metaphase, phosphorylation of H3T3 is in mouse oocytes. Haspin-perturbed oocytes display abnormalities restricted to kinetochores, and this mark signals recruitment of the in chromosome morphology and alignment, improper kinetochore– chromosomal passenger complex (CPC) (Dai et al., 2005; Wang microtubule attachments at metaphase I and aneuploidy at et al., 2010; Yamagishi et al., 2010). -
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, -
A New AURKC Mutation Causing Macrozoospermia
A new AURKC mutation causing macrozoospermia: implications for human spermatogenesis and clinical diagnosis Mariem Ben Khelifa 1 2 3 , Raoudha Zouari 4 , Radu Harbuz 2 1 , Lazhar Halouani 4 , Christophe Arnoult 1 , Joël Lunardi 2 5 , Pierre F. Ray 1 2 * 1 AGIM, AGeing and IMagery, CNRS FRE3405 Université Joseph Fourier - Grenoble I , Ecole Pratique des Hautes Etudes , CNRS : UMR5525 , Faculté de médecine de Grenoble, 38700 La Tronche,FR 2 Laboratoire de biochimie et génétique moléculaire CHU Grenoble , 38043 Grenoble,FR 3 Molecular Investigation of Genetic Orphan Diseases Research Unit Institut Pasteur de Tunis , Research Unit UR04/SP03,TN 4 Clinique de la reproduction les Jasmins Clinique de la reproduction les Jasmins , 23, Av. Louis BRAILLE, 1002 Tunis,TN 5 GIN, Grenoble Institut des Neurosciences INSERM : U836 , CEA , Université Joseph Fourier - Grenoble I , CHU Grenoble , UJF - Site Santé La Tronche BP 170 38042 Grenoble Cedex 9,FR * Correspondence should be addressed to: Pierre Ray <[email protected] > Abstract The presence of close to 100% large-headed multi-tailed spermatozoa in the ejaculate has been described as a rare phenotype of male infertility with a very poor prognosis. We demonstrated previously that most cases were caused by a homozygous mutation (c.144delC) in the Aurora Kinase C gene (AURKC) leading to the absence or the production of a nonfunctional protein. AURKC deficiency in these patients blocked meiosis and resulted in the production of tetraploid spermatozoa unsuitable for fertilization. We describe here the study of two brothers presenting with large-headed spermatozoa. Molecular analysis of the AURKC gene was carried out in two brothers presenting with a typical large headed spermatozoa phenotype. -
The Genetics of Bipolar Disorder
Molecular Psychiatry (2008) 13, 742–771 & 2008 Nature Publishing Group All rights reserved 1359-4184/08 $30.00 www.nature.com/mp FEATURE REVIEW The genetics of bipolar disorder: genome ‘hot regions,’ genes, new potential candidates and future directions A Serretti and L Mandelli Institute of Psychiatry, University of Bologna, Bologna, Italy Bipolar disorder (BP) is a complex disorder caused by a number of liability genes interacting with the environment. In recent years, a large number of linkage and association studies have been conducted producing an extremely large number of findings often not replicated or partially replicated. Further, results from linkage and association studies are not always easily comparable. Unfortunately, at present a comprehensive coverage of available evidence is still lacking. In the present paper, we summarized results obtained from both linkage and association studies in BP. Further, we indicated new potential interesting genes, located in genome ‘hot regions’ for BP and being expressed in the brain. We reviewed published studies on the subject till December 2007. We precisely localized regions where positive linkage has been found, by the NCBI Map viewer (http://www.ncbi.nlm.nih.gov/mapview/); further, we identified genes located in interesting areas and expressed in the brain, by the Entrez gene, Unigene databases (http://www.ncbi.nlm.nih.gov/entrez/) and Human Protein Reference Database (http://www.hprd.org); these genes could be of interest in future investigations. The review of association studies gave interesting results, as a number of genes seem to be definitively involved in BP, such as SLC6A4, TPH2, DRD4, SLC6A3, DAOA, DTNBP1, NRG1, DISC1 and BDNF. -
Maternally Recruited Aurora C Kinase Is More Stable Than Aurora B to Support Mouse Oocyte Maturation and Early Development
Maternally recruited Aurora C kinase is more stable PNAS PLUS than Aurora B to support mouse oocyte maturation and early development Karen Schindler1,2, Olga Davydenko2, Brianna Fram, Michael A. Lampson3, and Richard M. Schultz3 Department of Biology, University of Pennsylvania, Philadelphia, PA 19104 Edited* by John J. Eppig, The Jackson Laboratory, Bar Harbor, ME, and approved June 14, 2012 (received for review December 14, 2011) Aurora kinases are highly conserved, essential regulators of cell including abnormally condensed chromatin and abnormally division. Two Aurora kinase isoforms, A and B (AURKA and shaped acrosomes, but females were not examined (11). Muta- AURKB), are expressed ubiquitously in mammals, whereas a third tions in human AURKC cause meiotic arrest and formation of isoform, Aurora C (AURKC), is largely restricted to germ cells. tetraploid sperm (12), suggesting an essential role in cytokinesis Because AURKC is very similar to AURKB, based on sequence and in male meiosis. Experiments in mouse oocytes using a chemical functional analyses, why germ cells express AURKC is unclear. We inhibitor of AURKB (ZM447439) do not address the function of −/− report that Aurkc females are subfertile, and that AURKB func- AURKB because AURKC is also inhibited (13–17). Strategies tion declines as development progresses based on increasing se- using dominant-negative versions of AURKC are also difficult to verity of cytokinesis failure and arrested embryonic development. interpret, because the mutant may also compete with AURKB Furthermore, we find that neither Aurkb nor Aurkc is expressed (18). Overexpression studies have similar limitations because after the one-cell stage, and that AURKC is more stable during both kinases interact with inner centromere protein (INCENP) maturation than AURKB using fluorescently tagged reporter and these studies did not report expression levels of AURKB proteins. -
Characterization of a Protein Kinase B Inhibitor in Vitro and in Insulin-Treated Liver Cells Lisa Logie,1 Antonio J
Original Article Characterization of a Protein Kinase B Inhibitor In Vitro and in Insulin-Treated Liver Cells Lisa Logie,1 Antonio J. Ruiz-Alcaraz,1 Michael Keane,2,3 Yvonne L. Woods,2 Jennifer Bain,2 Rudolfo Marquez,3 Dario R. Alessi,1 and Calum Sutherland1 OBJECTIVE—Abnormal expression of the hepatic gluconeo- genic genes (glucose-6-phosphatase [G6Pase] and PEPCK) con- tributes to hyperglycemia. These genes are repressed by insulin, rotein kinase B (PKB) is a member of the AGC but this process is defective in diabetic subjects. Protein kinase family of protein kinases (1–3). In mammals, B (PKB) is implicated in this action of insulin. An inhibitor of there are three isoforms (PKB␣, PKB, and PKB, Akt inhibitor (Akti)-1/2, was recently reported; however, PPKB␥) (1). PKB is activated following induction the specificity and efficacy against insulin-induced PKB was not of phosphatidylinositol 3 (PI3) kinase activity and the reported. Our aim was to characterize the specificity and efficacy resultant generation of the lipid second messengers PI of Akti-1/2 in cells exposed to insulin and then establish whether 3,4,5 trisphosphate and PI 3,4 bisphosphate (4). These inhibition of PKB is sufficient to prevent regulation of hepatic lipids bind to the PH domain of PKB, altering its confor- gene expression by insulin. mation and permitting access to upstream protein kinases RESEARCH DESIGN AND METHODS—Akti-1/2 was assayed (5). Phosphoinositide-dependent protein kinase-1 phos- against 70 kinases in vitro and its ability to block PKB activation phorylates PKB at Thr308 (6), and a second phosphoryla- in cells exposed to insulin fully characterized. -
Human Kinases Info Page
Human Kinase Open Reading Frame Collecon Description: The Center for Cancer Systems Biology (Dana Farber Cancer Institute)- Broad Institute of Harvard and MIT Human Kinase ORF collection from Addgene consists of 559 distinct human kinases and kinase-related protein ORFs in pDONR-223 Gateway® Entry vectors. All clones are clonal isolates and have been end-read sequenced to confirm identity. Kinase ORFs were assembled from a number of sources; 56% were isolated as single cloned isolates from the ORFeome 5.1 collection (horfdb.dfci.harvard.edu); 31% were cloned from normal human tissue RNA (Ambion) by reverse transcription and subsequent PCR amplification adding Gateway® sequences; 11% were cloned into Entry vectors from templates provided by the Harvard Institute of Proteomics (HIP); 2% additional kinases were cloned into Entry vectors from templates obtained from collaborating laboratories. All ORFs are open (stop codons removed) except for 5 (MST1R, PTK7, JAK3, AXL, TIE1) which are closed (have stop codons). Detailed information can be found at: www.addgene.org/human_kinases Handling and Storage: Store glycerol stocks at -80oC and minimize freeze-thaw cycles. To access a plasmid, keep the plate on dry ice to prevent thawing. Using a sterile pipette tip, puncture the seal above an individual well and spread a portion of the glycerol stock onto an agar plate. To patch the hole, use sterile tape or a portion of a fresh aluminum seal. Note: These plasmid constructs are being distributed to non-profit institutions for the purpose of basic -
Exome Sequencing of 457 Autism Families Recruited Online Provides Evidence for Autism Risk Genes
www.nature.com/npjgenmed ARTICLE OPEN Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes Pamela Feliciano1, Xueya Zhou 2, Irina Astrovskaya 1, Tychele N. Turner 3, Tianyun Wang3, Leo Brueggeman4, Rebecca Barnard5, Alexander Hsieh 2, LeeAnne Green Snyder1, Donna M. Muzny6, Aniko Sabo6, The SPARK Consortium, Richard A. Gibbs6, Evan E. Eichler 3,7, Brian J. O’Roak 5, Jacob J. Michaelson 4, Natalia Volfovsky1, Yufeng Shen 2 and Wendy K. Chung1,8 Autism spectrum disorder (ASD) is a genetically heterogeneous condition, caused by a combination of rare de novo and inherited variants as well as common variants in at least several hundred genes. However, significantly larger sample sizes are needed to identify the complete set of genetic risk factors. We conducted a pilot study for SPARK (SPARKForAutism.org) of 457 families with ASD, all consented online. Whole exome sequencing (WES) and genotyping data were generated for each family using DNA from saliva. We identified variants in genes and loci that are clinically recognized causes or significant contributors to ASD in 10.4% of families without previous genetic findings. In addition, we identified variants that are possibly associated with ASD in an additional 3.4% of families. A meta-analysis using the TADA framework at a false discovery rate (FDR) of 0.1 provides statistical support for 26 ASD risk genes. While most of these genes are already known ASD risk genes, BRSK2 has the strongest statistical support and reaches genome-wide significance as a risk gene for ASD (p-value = 2.3e−06).