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Targeting Protein Kinase CK2 and CDK4/6 Pathways with a Multi-Kinase Inhibitor ON108110 Suppresses Pro-Survival Signaling and Gr
www.oncotarget.com Oncotarget, 2018, Vol. 9, (No. 102), pp: 37753-37765 Research Paper Targeting protein kinase CK2 and CDK4/6 pathways with a multi-kinase inhibitor ON108110 suppresses pro-survival signaling and growth in mantle cell lymphoma and T-acute lymphoblastic leukemia Amol Padgaonkar1,3, Olga Rechkoblit2, Rodgrigo Vasquez-Del Carpio1,4, Venkat Pallela5, Venkata Subbaiah DRC1,6, Stephen C. Cosenza1, Stacey J. Baker1, M.V. Ramana Reddy1, Aneel Aggarwal2 and E. Premkumar Reddy1,2 1Department of Oncological Sciences, Icahn School of Medicine, New York 10029, NY, USA 2Department of Pharmacological Sciences, Icahn School of Medicine, New York 10029, NY, USA 3Present Address: Prescient Healthcare Group, Jersey City 07302, NJ, USA 4Present address: Sandoz, a Novartis Company, Miami 33126, FL, USA 5Present address: Pfizer, Collegeville 19426, PA, USA 6Present address: Carnegie Pharmaceuticals, Monmouth Junction 08852, NJ, USA Correspondence to: E. Premkumar Reddy, email: [email protected] Keywords: mantle cell lumphoma; T-cell acute lymphoblastic leukemia; CDK4; CK2 Received: December 06, 2018 Accepted: December 13, 2018 Published: December 28, 2018 Copyright: Padgaonkar et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Overexpression and constitutive activation of CYCLIN D1 and Casein Kinase 2 are common features of many hematologic malignancies, including mantle cell lymphoma (MCL) and leukemias such as T-cell acute lymphoblastic leukemia (T-ALL). Although both CK2 and CDK4 inhibitors have shown promising results against these tumor types, none of these agents have achieved objective responses in the clinic as monotherapies. -
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. -
Supplement 1 Microarray Studies
EASE Categories Significantly Enriched in vs MG vs vs MGC4-2 Pt1-C vs C4-2 Pt1-C UP-Regulated Genes MG System Gene Category EASE Global MGRWV Pt1-N RWV Pt1-N Score FDR GO Molecular Extracellular matrix cellular construction 0.0008 0 110 genes up- Function Interpro EGF-like domain 0.0009 0 regulated GO Molecular Oxidoreductase activity\ acting on single dono 0.0015 0 Function GO Molecular Calcium ion binding 0.0018 0 Function Interpro Laminin-G domain 0.0025 0 GO Biological Process Cell Adhesion 0.0045 0 Interpro Collagen Triple helix repeat 0.0047 0 KEGG pathway Complement and coagulation cascades 0.0053 0 KEGG pathway Immune System – Homo sapiens 0.0053 0 Interpro Fibrillar collagen C-terminal domain 0.0062 0 Interpro Calcium-binding EGF-like domain 0.0077 0 GO Molecular Cell adhesion molecule activity 0.0105 0 Function EASE Categories Significantly Enriched in Down-Regulated Genes System Gene Category EASE Global Score FDR GO Biological Process Copper ion homeostasis 2.5E-09 0 Interpro Metallothionein 6.1E-08 0 Interpro Vertebrate metallothionein, Family 1 6.1E-08 0 GO Biological Process Transition metal ion homeostasis 8.5E-08 0 GO Biological Process Heavy metal sensitivity/resistance 1.9E-07 0 GO Biological Process Di-, tri-valent inorganic cation homeostasis 6.3E-07 0 GO Biological Process Metal ion homeostasis 6.3E-07 0 GO Biological Process Cation homeostasis 2.1E-06 0 GO Biological Process Cell ion homeostasis 2.1E-06 0 GO Biological Process Ion homeostasis 2.1E-06 0 GO Molecular Helicase activity 2.3E-06 0 Function GO Biological -
Tanibirumab (CUI C3490677) Add to Cart
5/17/2018 NCI Metathesaurus Contains Exact Match Begins With Name Code Property Relationship Source ALL Advanced Search NCIm Version: 201706 Version 2.8 (using LexEVS 6.5) Home | NCIt Hierarchy | Sources | Help Suggest changes to this concept Tanibirumab (CUI C3490677) Add to Cart Table of Contents Terms & Properties Synonym Details Relationships By Source Terms & Properties Concept Unique Identifier (CUI): C3490677 NCI Thesaurus Code: C102877 (see NCI Thesaurus info) Semantic Type: Immunologic Factor Semantic Type: Amino Acid, Peptide, or Protein Semantic Type: Pharmacologic Substance NCIt Definition: A fully human monoclonal antibody targeting the vascular endothelial growth factor receptor 2 (VEGFR2), with potential antiangiogenic activity. Upon administration, tanibirumab specifically binds to VEGFR2, thereby preventing the binding of its ligand VEGF. This may result in the inhibition of tumor angiogenesis and a decrease in tumor nutrient supply. VEGFR2 is a pro-angiogenic growth factor receptor tyrosine kinase expressed by endothelial cells, while VEGF is overexpressed in many tumors and is correlated to tumor progression. PDQ Definition: A fully human monoclonal antibody targeting the vascular endothelial growth factor receptor 2 (VEGFR2), with potential antiangiogenic activity. Upon administration, tanibirumab specifically binds to VEGFR2, thereby preventing the binding of its ligand VEGF. This may result in the inhibition of tumor angiogenesis and a decrease in tumor nutrient supply. VEGFR2 is a pro-angiogenic growth factor receptor -
WO 2017/173206 Al 5 October 2017 (05.10.2017) P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2017/173206 Al 5 October 2017 (05.10.2017) P O P C T (51) International Patent Classification: CA 94121 (US). HUBBARD, Robert; 7684 Marker Road, A61K 31/52 (2006.01) C07D 473/02 (2006.01) San Diego, CA 92087 (US). MIKOLON, David; 6140 A61K 31/505 (2006.01) C07D 473/26 (2006.01) Calle Empinada, San Diego, CA 92120 (US). RAYMON, A61K 31/519 (2006.01) C07D 473/32 (2006.01) Heather; 3520 Vista de la Orilla, San Diego, CA 921 17 (US). SHI, Tao; 4650 Tarantella Lane, San Diego, CA (21) International Application Number: 92130 (US). TRAN, Tam, M.; 8953 Libra Drive, San PCT/US20 17/025252 Diego, CA 92126 (US). TSUJI, Toshiya; 4171 Donald (22) International Filing Date: Court, San Diego, CA 921 17 (US). WONG, Lilly, L.; 871 3 1 March 2017 (3 1.03.2017) Viva Court, Solana Beach, CA 92075 (US). XU, Suichan; 9650 Deer Trail Place, San Diego, CA 92127 (US). ZHU, (25) Filing Language: English Dan; 4432 Calle Mar De Armonia, San Diego, CA 92130 (26) Publication Language: English (US). (30) Priority Data: (74) Agents: BRUNER, Michael, J. et al; Jones Day, 250 Ve- 62/3 17,412 1 April 2016 (01.04.2016) US sey Street, New York, NY 10281-1047 (US). (71) Applicant: SIGNAL PHARMACEUTICALS, LLC (81) Designated States (unless otherwise indicated, for every [US/US]; 10300 Campus Point Drive, Suite 100, San kind of national protection available): AE, AG, AL, AM, Diego, CA 92121 (US). -
Abstract Book
ISSN 0390-6078 Volume 105 OCTOBER 2020 - S2 XVI Congress of the Italian Society of Experimental Hematology Napoli, Italy, October 15-17, 2020 ABSTRACT BOOK www.haematologica.org XVI Congress of the Italian Society of Experimental Hematology Napoli, Italy, October 15-17, 2020 COMITATO SCIENTIFICO Pellegrino Musto, Presidente Antonio Curti, Vice Presidente Mario Luppi, Past President Francesco Albano Niccolò Bolli Antonella Caivano Roberta La Starza Luca Malcovati Luca Maurillo Stefano Sacchi SEGRETERIA SIES Via De' Poeti, 1/7 - 40124 Bologna Tel. 051 6390906 - Fax 051 4210174 e-mail: [email protected] www.siesonline.it SEGRETERIA ORGANIZZATIVA Studio ER Congressi Via De' Poeti, 1/7 - 40124 Bologna Tel. 051 4210559 - Fax 051 4210174 e-mail: [email protected] www.ercongressi.it ABSTRACT BOOK supplement 2 - October 2020 Table of Contents XVI Congress of the Italian Society of Experimental Hematology Napoli, Italy, October 15-17, 2020 Main Program . 1 Best Abstracts . 20 Oral Communications Session 1. C001-C008 Acute Leukemia 1 . 23 Session 2. C009-C016 Chronic Lymphocytic Leukemia 1 . 28 Session 3. C017-C024 Multiple Myeloma 1 . 32 Session 4. C025-C032 Benign Hematology . 36 Session 5. C033-C040 Multiple Myeloma 2 . 42 Session 6. C041-C048 Acute Leukemia 2 . 45 Session 7. C049-C056 Molecular Hematology . 50 Session 8. C057-C064 Lymphomas. 54 Session 9. C065-C072 Chronic Lymphocytic Leukemia 2 . 57 Session 10. C073-C080 Myelodisplastic Syndromes and Acute Leukemia . 62 Session 11. C081-C088 Myeloproliferative Disorders and Chronic Myeloid Leukemia . 66 Session 12. C089-C096 Stem Cell Transplantation. 71 Posters Session 1. P001 Stem cells and growth factors . -
Targeting Stat3 and Kinases in Lymphoid Malignancies
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
The Metabolic Serine Hydrolases and Their Functions in Mammalian Physiology and Disease Jonathan Z
REVIEW pubs.acs.org/CR The Metabolic Serine Hydrolases and Their Functions in Mammalian Physiology and Disease Jonathan Z. Long* and Benjamin F. Cravatt* The Skaggs Institute for Chemical Biology and Department of Chemical Physiology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, United States CONTENTS 2.4. Other Phospholipases 6034 1. Introduction 6023 2.4.1. LIPG (Endothelial Lipase) 6034 2. Small-Molecule Hydrolases 6023 2.4.2. PLA1A (Phosphatidylserine-Specific 2.1. Intracellular Neutral Lipases 6023 PLA1) 6035 2.1.1. LIPE (Hormone-Sensitive Lipase) 6024 2.4.3. LIPH and LIPI (Phosphatidic Acid-Specific 2.1.2. PNPLA2 (Adipose Triglyceride Lipase) 6024 PLA1R and β) 6035 2.1.3. MGLL (Monoacylglycerol Lipase) 6025 2.4.4. PLB1 (Phospholipase B) 6035 2.1.4. DAGLA and DAGLB (Diacylglycerol Lipase 2.4.5. DDHD1 and DDHD2 (DDHD Domain R and β) 6026 Containing 1 and 2) 6035 2.1.5. CES3 (Carboxylesterase 3) 6026 2.4.6. ABHD4 (Alpha/Beta Hydrolase Domain 2.1.6. AADACL1 (Arylacetamide Deacetylase-like 1) 6026 Containing 4) 6036 2.1.7. ABHD6 (Alpha/Beta Hydrolase Domain 2.5. Small-Molecule Amidases 6036 Containing 6) 6027 2.5.1. FAAH and FAAH2 (Fatty Acid Amide 2.1.8. ABHD12 (Alpha/Beta Hydrolase Domain Hydrolase and FAAH2) 6036 Containing 12) 6027 2.5.2. AFMID (Arylformamidase) 6037 2.2. Extracellular Neutral Lipases 6027 2.6. Acyl-CoA Hydrolases 6037 2.2.1. PNLIP (Pancreatic Lipase) 6028 2.6.1. FASN (Fatty Acid Synthase) 6037 2.2.2. PNLIPRP1 and PNLIPR2 (Pancreatic 2.6.2. -
Table S2.Up Or Down Regulated Genes in Tcof1 Knockdown Neuroblastoma N1E-115 Cells Involved in Differentbiological Process Anal
Table S2.Up or down regulated genes in Tcof1 knockdown neuroblastoma N1E-115 cells involved in differentbiological process analysed by DAVID database Pop Pop Fold Term PValue Genes Bonferroni Benjamini FDR Hits Total Enrichment GO:0044257~cellular protein catabolic 2.77E-10 MKRN1, PPP2R5C, VPRBP, MYLIP, CDC16, ERLEC1, MKRN2, CUL3, 537 13588 1.944851 8.64E-07 8.64E-07 5.02E-07 process ISG15, ATG7, PSENEN, LOC100046898, CDCA3, ANAPC1, ANAPC2, ANAPC5, SOCS3, ENC1, SOCS4, ASB8, DCUN1D1, PSMA6, SIAH1A, TRIM32, RNF138, GM12396, RNF20, USP17L5, FBXO11, RAD23B, NEDD8, UBE2V2, RFFL, CDC GO:0051603~proteolysis involved in 4.52E-10 MKRN1, PPP2R5C, VPRBP, MYLIP, CDC16, ERLEC1, MKRN2, CUL3, 534 13588 1.93519 1.41E-06 7.04E-07 8.18E-07 cellular protein catabolic process ISG15, ATG7, PSENEN, LOC100046898, CDCA3, ANAPC1, ANAPC2, ANAPC5, SOCS3, ENC1, SOCS4, ASB8, DCUN1D1, PSMA6, SIAH1A, TRIM32, RNF138, GM12396, RNF20, USP17L5, FBXO11, RAD23B, NEDD8, UBE2V2, RFFL, CDC GO:0044265~cellular macromolecule 6.09E-10 MKRN1, PPP2R5C, VPRBP, MYLIP, CDC16, ERLEC1, MKRN2, CUL3, 609 13588 1.859332 1.90E-06 6.32E-07 1.10E-06 catabolic process ISG15, RBM8A, ATG7, LOC100046898, PSENEN, CDCA3, ANAPC1, ANAPC2, ANAPC5, SOCS3, ENC1, SOCS4, ASB8, DCUN1D1, PSMA6, SIAH1A, TRIM32, RNF138, GM12396, RNF20, XRN2, USP17L5, FBXO11, RAD23B, UBE2V2, NED GO:0030163~protein catabolic process 1.81E-09 MKRN1, PPP2R5C, VPRBP, MYLIP, CDC16, ERLEC1, MKRN2, CUL3, 556 13588 1.87839 5.64E-06 1.41E-06 3.27E-06 ISG15, ATG7, PSENEN, LOC100046898, CDCA3, ANAPC1, ANAPC2, ANAPC5, SOCS3, ENC1, SOCS4, -
Supplementary Information
Supplementary information (a) (b) Figure S1. Resistant (a) and sensitive (b) gene scores plotted against subsystems involved in cell regulation. The small circles represent the individual hits and the large circles represent the mean of each subsystem. Each individual score signifies the mean of 12 trials – three biological and four technical. The p-value was calculated as a two-tailed t-test and significance was determined using the Benjamini-Hochberg procedure; false discovery rate was selected to be 0.1. Plots constructed using Pathway Tools, Omics Dashboard. Figure S2. Connectivity map displaying the predicted functional associations between the silver-resistant gene hits; disconnected gene hits not shown. The thicknesses of the lines indicate the degree of confidence prediction for the given interaction, based on fusion, co-occurrence, experimental and co-expression data. Figure produced using STRING (version 10.5) and a medium confidence score (approximate probability) of 0.4. Figure S3. Connectivity map displaying the predicted functional associations between the silver-sensitive gene hits; disconnected gene hits not shown. The thicknesses of the lines indicate the degree of confidence prediction for the given interaction, based on fusion, co-occurrence, experimental and co-expression data. Figure produced using STRING (version 10.5) and a medium confidence score (approximate probability) of 0.4. Figure S4. Metabolic overview of the pathways in Escherichia coli. The pathways involved in silver-resistance are coloured according to respective normalized score. Each individual score represents the mean of 12 trials – three biological and four technical. Amino acid – upward pointing triangle, carbohydrate – square, proteins – diamond, purines – vertical ellipse, cofactor – downward pointing triangle, tRNA – tee, and other – circle. -
A Detailed Genome-Wide Reconstruction of Mouse Metabolism Based on Human Recon 1
UC San Diego UC San Diego Previously Published Works Title A detailed genome-wide reconstruction of mouse metabolism based on human Recon 1 Permalink https://escholarship.org/uc/item/0ck1p05f Journal BMC Systems Biology, 4(1) ISSN 1752-0509 Authors Sigurdsson, Martin I Jamshidi, Neema Steingrimsson, Eirikur et al. Publication Date 2010-10-19 DOI http://dx.doi.org/10.1186/1752-0509-4-140 Supplemental Material https://escholarship.org/uc/item/0ck1p05f#supplemental Peer reviewed eScholarship.org Powered by the California Digital Library University of California Sigurdsson et al. BMC Systems Biology 2010, 4:140 http://www.biomedcentral.com/1752-0509/4/140 RESEARCH ARTICLE Open Access A detailed genome-wide reconstruction of mouse metabolism based on human Recon 1 Martin I Sigurdsson1,2,3, Neema Jamshidi4, Eirikur Steingrimsson1,3, Ines Thiele3,5*, Bernhard Ø Palsson3,4* Abstract Background: Well-curated and validated network reconstructions are extremely valuable tools in systems biology. Detailed metabolic reconstructions of mammals have recently emerged, including human reconstructions. They raise the question if the various successful applications of microbial reconstructions can be replicated in complex organisms. Results: We mapped the published, detailed reconstruction of human metabolism (Recon 1) to other mammals. By searching for genes homologous to Recon 1 genes within mammalian genomes, we were able to create draft metabolic reconstructions of five mammals, including the mouse. Each draft reconstruction was created in compartmentalized and non-compartmentalized version via two different approaches. Using gap-filling algorithms, we were able to produce all cellular components with three out of four versions of the mouse metabolic reconstruction. -
UC San Diego UC San Diego Electronic Theses and Dissertations
UC San Diego UC San Diego Electronic Theses and Dissertations Title Insights from reconstructing cellular networks in transcription, stress, and cancer Permalink https://escholarship.org/uc/item/6s97497m Authors Ke, Eugene Yunghung Ke, Eugene Yunghung Publication Date 2012 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO Insights from Reconstructing Cellular Networks in Transcription, Stress, and Cancer A dissertation submitted in the partial satisfaction of the requirements for the degree Doctor of Philosophy in Bioinformatics and Systems Biology by Eugene Yunghung Ke Committee in charge: Professor Shankar Subramaniam, Chair Professor Inder Verma, Co-Chair Professor Web Cavenee Professor Alexander Hoffmann Professor Bing Ren 2012 The Dissertation of Eugene Yunghung Ke is approved, and it is acceptable in quality and form for the publication on microfilm and electronically ________________________________________________________________ ________________________________________________________________ ________________________________________________________________ ________________________________________________________________ Co-Chair ________________________________________________________________ Chair University of California, San Diego 2012 iii DEDICATION To my parents, Victor and Tai-Lee Ke iv EPIGRAPH [T]here are known knowns; there are things we know we know. We also know there are known unknowns; that is to say we know there