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Gene Symbol Gene Description ACVR1B Activin a Receptor, Type IB
Table S1. Kinase clones included in human kinase cDNA library for yeast two-hybrid screening Gene Symbol Gene Description ACVR1B activin A receptor, type IB ADCK2 aarF domain containing kinase 2 ADCK4 aarF domain containing kinase 4 AGK multiple substrate lipid kinase;MULK AK1 adenylate kinase 1 AK3 adenylate kinase 3 like 1 AK3L1 adenylate kinase 3 ALDH18A1 aldehyde dehydrogenase 18 family, member A1;ALDH18A1 ALK anaplastic lymphoma kinase (Ki-1) ALPK1 alpha-kinase 1 ALPK2 alpha-kinase 2 AMHR2 anti-Mullerian hormone receptor, type II ARAF v-raf murine sarcoma 3611 viral oncogene homolog 1 ARSG arylsulfatase G;ARSG AURKB aurora kinase B AURKC aurora kinase C BCKDK branched chain alpha-ketoacid dehydrogenase kinase BMPR1A bone morphogenetic protein receptor, type IA BMPR2 bone morphogenetic protein receptor, type II (serine/threonine kinase) BRAF v-raf murine sarcoma viral oncogene homolog B1 BRD3 bromodomain containing 3 BRD4 bromodomain containing 4 BTK Bruton agammaglobulinemia tyrosine kinase BUB1 BUB1 budding uninhibited by benzimidazoles 1 homolog (yeast) BUB1B BUB1 budding uninhibited by benzimidazoles 1 homolog beta (yeast) C9orf98 chromosome 9 open reading frame 98;C9orf98 CABC1 chaperone, ABC1 activity of bc1 complex like (S. pombe) CALM1 calmodulin 1 (phosphorylase kinase, delta) CALM2 calmodulin 2 (phosphorylase kinase, delta) CALM3 calmodulin 3 (phosphorylase kinase, delta) CAMK1 calcium/calmodulin-dependent protein kinase I CAMK2A calcium/calmodulin-dependent protein kinase (CaM kinase) II alpha CAMK2B calcium/calmodulin-dependent -
Selective Targeting of Cyclin E1-Amplified High-Grade Serous Ovarian Cancer by Cyclin-Dependent Kinase 2 and AKT Inhibition
Published OnlineFirst September 23, 2016; DOI: 10.1158/1078-0432.CCR-16-0620 Biology of Human Tumors Clinical Cancer Research Selective Targeting of Cyclin E1-Amplified High-Grade Serous Ovarian Cancer by Cyclin- Dependent Kinase 2 and AKT Inhibition George Au-Yeung1,2, Franziska Lang1, Walid J. Azar1, Chris Mitchell1, Kate E. Jarman3, Kurt Lackovic3,4, Diar Aziz5, Carleen Cullinane1,6, Richard B. Pearson1,2,7, Linda Mileshkin2,8, Danny Rischin2,8, Alison M. Karst9, Ronny Drapkin10, Dariush Etemadmoghadam1,2,5, and David D.L. Bowtell1,2,7,11 Abstract Purpose: Cyclin E1 (CCNE1) amplification is associated with Results: We validate CDK2 as a therapeutic target by demon- primary treatment resistance and poor outcome in high-grade strating selective sensitivity to gene suppression. However, we found serous ovarian cancer (HGSC). Here, we explore approaches to that dinaciclib did not trigger amplicon-dependent sensitivity in a target CCNE1-amplified cancers and potential strategies to over- panel of HGSC cell lines. A high-throughput compound screen come resistance to targeted agents. identified synergistic combinations in CCNE1-amplified HGSC, Experimental Design: To examine dependency on CDK2 in including dinaciclib and AKT inhibitors. Analysis of genomic data CCNE1-amplified HGSC, we utilized siRNA and conditional from TCGA demonstrated coamplification of CCNE1 and AKT2. shRNA gene suppression, and chemical inhibition using dina- Overexpression of Cyclin E1 and AKT isoforms, in addition to ciclib, a small-molecule CDK2 inhibitor. High-throughput mutant TP53, imparted malignant characteristics in untransformed compound screening was used to identify selective synergistic fallopian tube secretory cells, the dominant site of origin of HGSC. -
Hidden Targets in RAF Signalling Pathways to Block Oncogenic RAS Signalling
G C A T T A C G G C A T genes Review Hidden Targets in RAF Signalling Pathways to Block Oncogenic RAS Signalling Aoife A. Nolan 1, Nourhan K. Aboud 1, Walter Kolch 1,2,* and David Matallanas 1,* 1 Systems Biology Ireland, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland; [email protected] (A.A.N.); [email protected] (N.K.A.) 2 Conway Institute of Biomolecular & Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland * Correspondence: [email protected] (W.K.); [email protected] (D.M.) Abstract: Oncogenic RAS (Rat sarcoma) mutations drive more than half of human cancers, and RAS inhibition is the holy grail of oncology. Thirty years of relentless efforts and harsh disappointments have taught us about the intricacies of oncogenic RAS signalling that allow us to now get a pharma- cological grip on this elusive protein. The inhibition of effector pathways, such as the RAF-MEK-ERK pathway, has largely proven disappointing. Thus far, most of these efforts were aimed at blocking the activation of ERK. Here, we discuss RAF-dependent pathways that are regulated through RAF functions independent of catalytic activity and their potential role as targets to block oncogenic RAS signalling. We focus on the now well documented roles of RAF kinase-independent functions in apoptosis, cell cycle progression and cell migration. Keywords: RAF kinase-independent; RAS; MST2; ASK; PLK; RHO-α; apoptosis; cell cycle; cancer therapy Citation: Nolan, A.A.; Aboud, N.K.; Kolch, W.; Matallanas, D. Hidden Targets in RAF Signalling Pathways to Block Oncogenic RAS Signalling. -
ACVR1 Antibody Cat
ACVR1 Antibody Cat. No.: 4791 Western blot analysis of ACVR1 in A549 cell lysate with ACVR1 antibody at 1 μg/mL in (A) the absence and (B) the presence of blocking peptide. Specifications HOST SPECIES: Rabbit SPECIES REACTIVITY: Human, Mouse HOMOLOGY: Predicted species reactivity based on immunogen sequence: Bovine: (100%), Rat: (93%) ACVR1 antibody was raised against a 14 amino acid synthetic peptide near the amino terminus of the human ACVR1. IMMUNOGEN: The immunogen is located within the first 50 amino acids of ACVR1. TESTED APPLICATIONS: ELISA, WB ACVR1 antibody can be used for detection of ACVR1 by Western blot at 1 μg/mL. APPLICATIONS: Antibody validated: Western Blot in human samples. All other applications and species not yet tested. At least four isoforms of ACVR1 are known to exist. This antibody is predicted to have no SPECIFICITY: cross-reactivity to ACVR1B or ACVR1C. POSITIVE CONTROL: 1) Cat. No. 1203 - A549 Cell Lysate Properties October 1, 2021 1 https://www.prosci-inc.com/acvr1-antibody-4791.html PURIFICATION: ACVR1 Antibody is affinity chromatography purified via peptide column. CLONALITY: Polyclonal ISOTYPE: IgG CONJUGATE: Unconjugated PHYSICAL STATE: Liquid BUFFER: ACVR1 Antibody is supplied in PBS containing 0.02% sodium azide. CONCENTRATION: 1 mg/mL ACVR1 antibody can be stored at 4˚C for three months and -20˚C, stable for up to one STORAGE CONDITIONS: year. As with all antibodies care should be taken to avoid repeated freeze thaw cycles. Antibodies should not be exposed to prolonged high temperatures. Additional Info OFFICIAL SYMBOL: ACVR1 ACVR1 Antibody: FOP, ALK2, SKR1, TSRI, ACTRI, ACVR1A, ACVRLK2, Activin receptor type-1, ALTERNATE NAMES: Activin receptor type I, ACTR-I ACCESSION NO.: NP_001096 PROTEIN GI NO.: 4501895 GENE ID: 90 USER NOTE: Optimal dilutions for each application to be determined by the researcher. -
Nucleotide Sequence and Analysis of the 58.3 to 65.5-Kb Early Region of Bacteriophage T4
Volume 14 Number 21 1986 Nucleic Acids Research Nucleotide sequence and analysis of the 58.3 to 65.5-kb early region of bacteriophage T4 Kristoffer Valerie 13.4, John Stevens', Mark Lynch'5, Earl E.Henderson12 and Jon K.de Riel1 'Fels Research Institute, and 2Department of Microbiology and Immunology, Temple University School of Medicine, Philadelphia, PA 19140, USA and 3Department of Biochemistry and Biotechnology, Royal Institute of Technology, S-100 44 Stockholm, Sweden Received 21 July 1986; Revised and Accepted 30 September 1986 ABSTRACT The complete 7.2-kb nucleotide sequence from the 58.3 to 65.5-kb early region of bacteriophage T4 has been determined by Maxam and Gilbert sequencing. Computer analysis revealed at least 20 open reading frames (ORFs) within this sequence. All major ORFs are transcribed from the left strand, suggesting that they are expressed early during infection. Among the ORFs, we have identified the pIIII, II, denV and tk genes. The ORFs are very tightly spaced, even over Lapping in some instances, and when ORF interspacing occurs, promoter-like sequences can be implicated. Several of the sequences preceding the ORFs, in particular those at ipIII, ipII, denV, and orf6l.9, can potentially form stable stem-loop structures. INTRODUCTION Recently, considerable progress has been made studying the bacteriophage T4 genome at the molecular level due to the development of T4 strains with unmod- ified DNA suitable for digestion with restriction endonucleases (1). Many T4 genes have since been cloned, sequenced, and their gene products overproduced in Escherichia coli (for review see ref. 2). A majority of the T4 genes studied so far have been essential and non-essential genes with well-characterized pheno- types. -
Characterization of Pulmonary Arteriovenous Malformations in ACVRL1 Versus ENG Mutation Carriers in Hereditary Hemorrhagic Telangiectasia
© American College of Medical Genetics and Genomics ORIGINAL RESEARCH ARTICLE Characterization of pulmonary arteriovenous malformations in ACVRL1 versus ENG mutation carriers in hereditary hemorrhagic telangiectasia Weiyi Mu, ScM1, Zachary A. Cordner, MD, PhD2, Kevin Yuqi Wang, MD3, Kate Reed, MPH, ScM4, Gina Robinson, RN5, Sally Mitchell, MD5 and Doris Lin, MD, PhD5 Purpose: Pulmonary arteriovenous malformations (pAVMs) are mutation carriers to have pAVMs (P o 0.001) or multiple lesions major contributors to morbidity and mortality in hereditary (P = 0.03), and to undergo procedural intervention (P = 0.02). hemorrhagic telangiectasia (HHT). Mutations in ENG and ACVRL1 Additionally, pAVMs in ENG carriers were more likely to exhibit underlie the vast majority of clinically diagnosed cases. The aims of bilateral lung involvement and growth over time, although this did this study were to characterize and compare the clinical and not reach statistical significance. The HHT severity score was morphologic features of pAVMs between these two genotype significantly higher in ENG than in ACVRL1 (P = 0.02). groups. Conclusion: The propensity and multiplicity of ENG-associated Methods: Sixty-six patients with HHT and affected family pAVMs may contribute to the higher disease severity in this members were included. Genotype, phenotypic data, and imaging genotype, as reflected by the HHT severity score and the frequency were obtained from medical records. Morphologic features of of interventional procedures. pAVMs were analyzed using computed tomography angiography. Genet Med HHT symptoms, pAVM imaging characteristics, frequency of advance online publication 19 October 2017 procedural intervention, and HHT severity scores were compared Key Words: ACVRL1; ENG; genotype-phenotype correlation; between ENG and ACVRL1 genotype groups. -
Defining the Akt1 Interactome and Its Role in Regulating the Cell Cycle
www.nature.com/scientificreports OPEN Defning the Akt1 interactome and its role in regulating the cell cycle Shweta Duggal1,3, Noor Jailkhani2, Mukul Kumar Midha2, Namita Agrawal3, Kanury V. S. Rao1 & Ajay Kumar1 Received: 13 July 2017 Cell growth and proliferation are two diverse processes yet always linked. Akt1, a serine/threonine Accepted: 8 January 2018 kinase, is a multi-functional protein implicated in regulation of cell growth, survival and proliferation. Published: xx xx xxxx Though it has a role in G1/S progression, the manner by which Akt1 controls cell cycle and blends cell growth with proliferation is not well explored. In this study, we characterize the Akt1 interactome as the cell cycle progresses from G0 to G1/S and G2 phase. For this, Akt1-overexpressing HEK293 cells were subjected to AP-MS. To distinguish between individual cell cycle stages, cells were cultured in the light, medium and heavy labelled SILAC media. We obtained 213 interacting partners of Akt1 from these studies. GO classifcation revealed that a signifcant number of proteins fall into functional classes related to cell growth or cell cycle processes. Of these, 32 proteins showed varying association with Akt1 in diferent cell cycle stages. Further analyses uncovered a subset of proteins showing counteracting efects so as to tune stage-specifc progression through the cycle. Thus, our study provides some novel perspectives on Akt1-mediated regulation of the cell cycle and ofers the framework for a detailed resolution of the downstream cellular mechanisms that are mediated by this kinase. Te mammalian cell cycle consists of an ordered series of events and is a highly coordinated and regulated pro- cess1. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Advancing a Clinically Relevant Perspective of the Clonal Nature of Cancer
Advancing a clinically relevant perspective of the clonal nature of cancer Christian Ruiza,b, Elizabeth Lenkiewicza, Lisa Eversa, Tara Holleya, Alex Robesona, Jeffrey Kieferc, Michael J. Demeurea,d, Michael A. Hollingsworthe, Michael Shenf, Donna Prunkardf, Peter S. Rabinovitchf, Tobias Zellwegerg, Spyro Moussesc, Jeffrey M. Trenta,h, John D. Carpteni, Lukas Bubendorfb, Daniel Von Hoffa,d, and Michael T. Barretta,1 aClinical Translational Research Division, Translational Genomics Research Institute, Scottsdale, AZ 85259; bInstitute for Pathology, University Hospital Basel, University of Basel, 4031 Basel, Switzerland; cGenetic Basis of Human Disease, Translational Genomics Research Institute, Phoenix, AZ 85004; dVirginia G. Piper Cancer Center, Scottsdale Healthcare, Scottsdale, AZ 85258; eEppley Institute for Research in Cancer and Allied Diseases, Nebraska Medical Center, Omaha, NE 68198; fDepartment of Pathology, University of Washington, Seattle, WA 98105; gDivision of Urology, St. Claraspital and University of Basel, 4058 Basel, Switzerland; hVan Andel Research Institute, Grand Rapids, MI 49503; and iIntegrated Cancer Genomics Division, Translational Genomics Research Institute, Phoenix, AZ 85004 Edited* by George F. Vande Woude, Van Andel Research Institute, Grand Rapids, MI, and approved June 10, 2011 (received for review March 11, 2011) Cancers frequently arise as a result of an acquired genomic insta- on the basis of morphology alone (8). Thus, the application of bility and the subsequent clonal evolution of neoplastic cells with purification methods such as laser capture microdissection does variable patterns of genetic aberrations. Thus, the presence and not resolve the complexities of many samples. A second approach behaviors of distinct clonal populations in each patient’s tumor is to passage tumor biopsies in tissue culture or in xenografts (4, 9– may underlie multiple clinical phenotypes in cancers. -
Tumor Promoting Effect of BMP Signaling in Endometrial Cancer
International Journal of Molecular Sciences Article Tumor Promoting Effect of BMP Signaling in Endometrial Cancer Tomohiko Fukuda 1,* , Risa Fukuda 1, Kohei Miyazono 1,2,† and Carl-Henrik Heldin 1,*,† 1 Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Box 582, Uppsala University, SE-751 23 Uppsala, Sweden; [email protected] (R.F.); [email protected] (K.M.) 2 Department of Molecular Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan * Correspondence: [email protected] (T.F.); [email protected] (C.-H.H.); Tel.: +46-18-4714738 (T.F.); +46-18-4714738 (C.-H.H.) † These authors contributed equally to this work. Abstract: The effects of bone morphogenetic proteins (BMPs), members of the transforming growth factor-β (TGF-β) family, in endometrial cancer (EC) have yet to be determined. In this study, we analyzed the TCGA and MSK-IMPACT datasets and investigated the effects of BMP2 and of TWSG1, a BMP antagonist, on Ishikawa EC cells. Frequent ACVR1 mutations and high mRNA expressions of BMP ligands and receptors were observed in EC patients of the TCGA and MSK-IMPACT datasets. Ishikawa cells secreted higher amounts of BMP2 compared with ovarian cancer cell lines. Exogenous BMP2 stimulation enhanced EC cell sphere formation via c-KIT induction. BMP2 also induced EMT of EC cells, and promoted migration by induction of SLUG. The BMP receptor kinase inhibitor LDN193189 augmented the growth inhibitory effects of carboplatin. Analyses of mRNAs of several BMP antagonists revealed that TWSG1 mRNA was abundantly expressed in Ishikawa cells. -
Saracatinib Is an Efficacious Clinical Candidate for Fibrodysplasia Ossificans Progressiva
RESEARCH ARTICLE Saracatinib is an efficacious clinical candidate for fibrodysplasia ossificans progressiva Eleanor Williams,1 Jana Bagarova,2 Georgina Kerr,1 Dong-Dong Xia,2 Elsie S. Place,3 Devaveena Dey,2 Yue Shen,2 Geoffrey A. Bocobo,2 Agustin H. Mohedas,2 Xiuli Huang,4 Philip E. Sanderson,4 Arthur Lee,4 Wei Zheng,4 Aris N. Economides,5 James C. Smith,3 Paul B. Yu,2 and Alex N. Bullock1 1Centre for Medicines Discovery, University of Oxford, Oxford, United Kingdom. 2Department of Medicine, Cardiovascular Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA. 3Developmental Biology Laboratory, Francis Crick Institute, London, United Kingdom. 4National Center for Advancing Translational Sciences, NIH, Bethesda, Maryland, USA. 5Regeneron Pharmaceuticals Inc., Tarrytown, New York, USA. Currently, no effective therapies exist for fibrodysplasia ossificans progressiva (FOP), a rare congenital syndrome in which heterotopic bone is formed in soft tissues owing to dysregulated activity of the bone morphogenetic protein (BMP) receptor kinase ALK2 (also known as ACVR1). From a screen of known biologically active compounds, we identified saracatinib as a potent ALK2 kinase inhibitor. In enzymatic and cell-based assays, saracatinib preferentially inhibited ALK2, compared with other receptors of the BMP/TGF-β signaling pathway, and induced dorsalization in zebrafish embryos consistent with BMP antagonism. We further tested the efficacy of saracatinib using an inducible ACVR1Q207D-transgenic mouse line, which provides a model of heterotopic ossification (HO), as well as an inducible ACVR1R206H-knockin mouse, which serves as a genetically and physiologically faithful FOP model. In both models, saracatinib was well tolerated and potently inhibited the development of HO, even when administered transiently following soft tissue injury. -
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