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DEPs in osteosarcoma cells comparing to osteoblastic cells Biological Process Protein Percentage of Hits metabolic process (GO:0008152) 29.3 29.3% cellular process (GO:0009987) 20.2 20.2% localization (GO:0051179) 9.4 9.4% biological regulation (GO:0065007) 8 8.0% developmental process (GO:0032502) 7.8 7.8% response to stimulus (GO:0050896) 5.6 5.6% cellular component organization (GO:0071840) 5.6 5.6% multicellular organismal process (GO:0032501) 4.4 4.4% immune system process (GO:0002376) 4.2 4.2% biological adhesion (GO:0022610) 2.7 2.7% apoptotic process (GO:0006915) 1.6 1.6% reproduction (GO:0000003) 0.8 0.8% locomotion (GO:0040011) 0.4 0.4% cell killing (GO:0001906) 0.1 0.1% 100.1% Genes 2179Hits 3870 biological adhesion apoptotic process … reproduction (GO:0000003) , 0.8% (GO:0022610) , 2.7% locomotion (GO:0040011) ,… immune system process cell killing (GO:0001906) , 0.1% (GO:0002376) , 4.2% multicellular organismal process (GO:0032501) , metabolic process 4.4% (GO:0008152) , 29.3% cellular component organization (GO:0071840) , 5.6% response to stimulus (GO:0050896), 5.6% developmental process (GO:0032502) , 7.8% biological regulation (GO:0065007) , 8.0% cellular process (GO:0009987) , 20.2% localization (GO:0051179) , 9. -
Propranolol-Mediated Attenuation of MMP-9 Excretion in Infants with Hemangiomas
Supplementary Online Content Thaivalappil S, Bauman N, Saieg A, Movius E, Brown KJ, Preciado D. Propranolol-mediated attenuation of MMP-9 excretion in infants with hemangiomas. JAMA Otolaryngol Head Neck Surg. doi:10.1001/jamaoto.2013.4773 eTable. List of All of the Proteins Identified by Proteomics This supplementary material has been provided by the authors to give readers additional information about their work. © 2013 American Medical Association. All rights reserved. Downloaded From: https://jamanetwork.com/ on 10/01/2021 eTable. List of All of the Proteins Identified by Proteomics Protein Name Prop 12 mo/4 Pred 12 mo/4 Δ Prop to Pred mo mo Myeloperoxidase OS=Homo sapiens GN=MPO 26.00 143.00 ‐117.00 Lactotransferrin OS=Homo sapiens GN=LTF 114.00 205.50 ‐91.50 Matrix metalloproteinase‐9 OS=Homo sapiens GN=MMP9 5.00 36.00 ‐31.00 Neutrophil elastase OS=Homo sapiens GN=ELANE 24.00 48.00 ‐24.00 Bleomycin hydrolase OS=Homo sapiens GN=BLMH 3.00 25.00 ‐22.00 CAP7_HUMAN Azurocidin OS=Homo sapiens GN=AZU1 PE=1 SV=3 4.00 26.00 ‐22.00 S10A8_HUMAN Protein S100‐A8 OS=Homo sapiens GN=S100A8 PE=1 14.67 30.50 ‐15.83 SV=1 IL1F9_HUMAN Interleukin‐1 family member 9 OS=Homo sapiens 1.00 15.00 ‐14.00 GN=IL1F9 PE=1 SV=1 MUC5B_HUMAN Mucin‐5B OS=Homo sapiens GN=MUC5B PE=1 SV=3 2.00 14.00 ‐12.00 MUC4_HUMAN Mucin‐4 OS=Homo sapiens GN=MUC4 PE=1 SV=3 1.00 12.00 ‐11.00 HRG_HUMAN Histidine‐rich glycoprotein OS=Homo sapiens GN=HRG 1.00 12.00 ‐11.00 PE=1 SV=1 TKT_HUMAN Transketolase OS=Homo sapiens GN=TKT PE=1 SV=3 17.00 28.00 ‐11.00 CATG_HUMAN Cathepsin G OS=Homo -
A Cell Line P53 Mutation Type UM
A Cell line p53 mutation Type UM-SCC 1 wt UM-SCC5 Exon 5, 157 GTC --> TTC Missense mutation by transversion (Valine --> Phenylalanine UM-SCC6 wt UM-SCC9 wt UM-SCC11A wt UM-SCC11B Exon 7, 242 TGC --> TCC Missense mutation by transversion (Cysteine --> Serine) UM-SCC22A Exon 6, 220 TAT --> TGT Missense mutation by transition (Tyrosine --> Cysteine) UM-SCC22B Exon 6, 220 TAT --> TGT Missense mutation by transition (Tyrosine --> Cysteine) UM-SCC38 Exon 5, 132 AAG --> AAT Missense mutation by transversion (Lysine --> Asparagine) UM-SCC46 Exon 8, 278 CCT --> CGT Missense mutation by transversion (Proline --> Alanine) B 1 Supplementary Methods Cell Lines and Cell Culture A panel of ten established HNSCC cell lines from the University of Michigan series (UM-SCC) was obtained from Dr. T. E. Carey at the University of Michigan, Ann Arbor, MI. The UM-SCC cell lines were derived from eight patients with SCC of the upper aerodigestive tract (supplemental Table 1). Patient age at tumor diagnosis ranged from 37 to 72 years. The cell lines selected were obtained from patients with stage I-IV tumors, distributed among oral, pharyngeal and laryngeal sites. All the patients had aggressive disease, with early recurrence and death within two years of therapy. Cell lines established from single isolates of a patient specimen are designated by a numeric designation, and where isolates from two time points or anatomical sites were obtained, the designation includes an alphabetical suffix (i.e., "A" or "B"). The cell lines were maintained in Eagle's minimal essential media supplemented with 10% fetal bovine serum and penicillin/streptomycin. -
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. -
Protein Identities in Evs Isolated from U87-MG GBM Cells As Determined by NG LC-MS/MS
Protein identities in EVs isolated from U87-MG GBM cells as determined by NG LC-MS/MS. No. Accession Description Σ Coverage Σ# Proteins Σ# Unique Peptides Σ# Peptides Σ# PSMs # AAs MW [kDa] calc. pI 1 A8MS94 Putative golgin subfamily A member 2-like protein 5 OS=Homo sapiens PE=5 SV=2 - [GG2L5_HUMAN] 100 1 1 7 88 110 12,03704523 5,681152344 2 P60660 Myosin light polypeptide 6 OS=Homo sapiens GN=MYL6 PE=1 SV=2 - [MYL6_HUMAN] 100 3 5 17 173 151 16,91913397 4,652832031 3 Q6ZYL4 General transcription factor IIH subunit 5 OS=Homo sapiens GN=GTF2H5 PE=1 SV=1 - [TF2H5_HUMAN] 98,59 1 1 4 13 71 8,048185945 4,652832031 4 P60709 Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 - [ACTB_HUMAN] 97,6 5 5 35 917 375 41,70973209 5,478027344 5 P13489 Ribonuclease inhibitor OS=Homo sapiens GN=RNH1 PE=1 SV=2 - [RINI_HUMAN] 96,75 1 12 37 173 461 49,94108966 4,817871094 6 P09382 Galectin-1 OS=Homo sapiens GN=LGALS1 PE=1 SV=2 - [LEG1_HUMAN] 96,3 1 7 14 283 135 14,70620005 5,503417969 7 P60174 Triosephosphate isomerase OS=Homo sapiens GN=TPI1 PE=1 SV=3 - [TPIS_HUMAN] 95,1 3 16 25 375 286 30,77169764 5,922363281 8 P04406 Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 - [G3P_HUMAN] 94,63 2 13 31 509 335 36,03039959 8,455566406 9 Q15185 Prostaglandin E synthase 3 OS=Homo sapiens GN=PTGES3 PE=1 SV=1 - [TEBP_HUMAN] 93,13 1 5 12 74 160 18,68541938 4,538574219 10 P09417 Dihydropteridine reductase OS=Homo sapiens GN=QDPR PE=1 SV=2 - [DHPR_HUMAN] 93,03 1 1 17 69 244 25,77302971 7,371582031 11 P01911 HLA class II histocompatibility antigen, -
Structural Heterogeneity of Cellular K5/K14 Filaments As Revealed by Cryo
bioRxiv preprint doi: https://doi.org/10.1101/2021.05.12.442145; this version posted May 14, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Structural heterogeneity of cellular K5/K14 filaments as revealed by cryo- 2 electron microscopy 3 4 Short title: Structural heterogeneity of keratin filaments 5 6 7 Miriam S. Weber1, Matthias Eibauer1, Suganya Sivagurunathan2, Thomas M. Magin3, Robert D. 8 Goldman2, Ohad Medalia1* 9 1Department of Biochemistry, University of Zurich, Switzerland 10 2Department of Cell and Developmental Biology, Northwestern University Feinberg School of 11 Medicine, USA 12 3Institute of Biology, University of Leipzig, Germany 13 14 * Corresponding author: [email protected] 15 16 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.05.12.442145; this version posted May 14, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 17 Abstract 18 Keratin intermediate filaments are an essential and major component of the cytoskeleton in epithelial 19 cells. They form a stable yet dynamic filamentous network extending from the nucleus to the cell 20 periphery. Keratin filaments provide cellular resistance to mechanical stresses, ensure cell and tissue 21 integrity in addition to regulatory functions. Mutations in keratin genes are related to a variety of 22 epithelial tissue diseases that mostly affect skin and hair. Despite their importance, the molecular 23 structure of keratin filaments remains largely unknown. In this study, we analyzed the structure of 24 keratin 5/keratin 14 filaments within ghost keratinocytes by cryo-electron microscopy and cryo- 25 electron tomography. -
P63 Transcription Factor Regulates Nuclear Shape and Expression of Nuclear Envelope
Durham Research Online Deposited in DRO: 21 September 2017 Version of attached le: Published Version Peer-review status of attached le: Peer-reviewed Citation for published item: Rapisarda, Valentina and Malashchuk, Igor and Asamaowei, Inemo E. and Poterlowicz, Krzysztof and Fessing, Michael Y. and Sharov, Andrey A. and Karakesisoglou, Iakowos and Botchkarev, Vladimir A. and Mardaryev, Andrei (2017) 'p63 transcription factor regulates nuclear shape and expression of nuclear envelope-associated genes in epidermal keratinocytes.', Journal of investigative dermatology., 137 (10). pp. 2157-2167. Further information on publisher's website: https://doi.org/10.1016/j.jid.2017.05.013 Publisher's copyright statement: This article is available under the terms of the Creative Commons Attribution License (CC BY). You may copy and distribute the article, create extracts, abstracts and new works from the article, alter and revise the article, text or data mine the article and otherwise reuse the article commercially (including reuse and/or resale of the article) without permission from Elsevier. You must give appropriate credit to the original work, together with a link to the formal publication through the relevant DOI and a link to the Creative Commons user license above. You must indicate if any changes are made but not in any way that suggests the licensor endorses you or your use of the work. Additional information: Use policy The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that: • a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Cloud-Clone 16-17
Cloud-Clone - 2016-17 Catalog Description Pack Size Supplier Rupee(RS) ACB028Hu CLIA Kit for Anti-Albumin Antibody (AAA) 96T Cloud-Clone 74750 AEA044Hu ELISA Kit for Anti-Growth Hormone Antibody (Anti-GHAb) 96T Cloud-Clone 74750 AEA255Hu ELISA Kit for Anti-Apolipoprotein Antibodies (AAHA) 96T Cloud-Clone 74750 AEA417Hu ELISA Kit for Anti-Proteolipid Protein 1, Myelin Antibody (Anti-PLP1) 96T Cloud-Clone 74750 AEA421Hu ELISA Kit for Anti-Myelin Oligodendrocyte Glycoprotein Antibody (Anti- 96T Cloud-Clone 74750 MOG) AEA465Hu ELISA Kit for Anti-Sperm Antibody (AsAb) 96T Cloud-Clone 74750 AEA539Hu ELISA Kit for Anti-Myelin Basic Protein Antibody (Anti-MBP) 96T Cloud-Clone 71250 AEA546Hu ELISA Kit for Anti-IgA Antibody 96T Cloud-Clone 71250 AEA601Hu ELISA Kit for Anti-Myeloperoxidase Antibody (Anti-MPO) 96T Cloud-Clone 71250 AEA747Hu ELISA Kit for Anti-Complement 1q Antibody (Anti-C1q) 96T Cloud-Clone 74750 AEA821Hu ELISA Kit for Anti-C Reactive Protein Antibody (Anti-CRP) 96T Cloud-Clone 74750 AEA895Hu ELISA Kit for Anti-Insulin Receptor Antibody (AIRA) 96T Cloud-Clone 74750 AEB028Hu ELISA Kit for Anti-Albumin Antibody (AAA) 96T Cloud-Clone 71250 AEB264Hu ELISA Kit for Insulin Autoantibody (IAA) 96T Cloud-Clone 74750 AEB480Hu ELISA Kit for Anti-Mannose Binding Lectin Antibody (Anti-MBL) 96T Cloud-Clone 88575 AED245Hu ELISA Kit for Anti-Glutamic Acid Decarboxylase Antibodies (Anti-GAD) 96T Cloud-Clone 71250 AEK505Hu ELISA Kit for Anti-Heparin/Platelet Factor 4 Antibodies (Anti-HPF4) 96T Cloud-Clone 71250 CCA005Hu CLIA Kit for Angiotensin II -
ADVISORY COMMISSION on CHILDHOOD VACCINES TABLE of CONTENTS December 8, 2017
ADVISORY COMMISSION ON CHILDHOOD VACCINES TABLE OF CONTENTS December 8, 2017 TAB • ACCV Agenda 1 • ACCV Charter • ACCV Roster • 2017 Meeting Dates • Meeting Minutes 2 o Draft Minutes – September 8, 2017 • Vaccine Injury Compensation Trust Fund Statement 3 o Vaccine Injury Compensation Trust Fund Summary Sheet for the Period of 10/1/2016 – 9/30/2017 • VICP Data and Statistics 4 • Meeting Presentations & Updates 5 o Report from the Division of Injury Compensation Programs 5.1 o Report from the Department of Justice 5.2 o Petitions to Add Injuries to the Vaccine Injury Table Introduction 5.3 o Petition to Add Tics as an Injury to the Vaccine Injury Table 5.4 o Petition to Add Asthma as an Injury to the Vaccine Injury Table 5.5 5.6 o Petition to Add Pediatric Autoimmune Neuropsychiatric Syndrome (PANS), Pediatric Infection-Triggered Autoimmune Neuropsychiatric Disorders (PITANDS), and Pediatric Autoimmune Neuropsychiatric Disorders (PANDAS) as Injuries to the Vaccine Injury Table o Petition to Add Experimental Autoimmune Encephalomyelitis (EAE) and/or 5.7 Acute Demyelinating Encephalomyelitis (ADEM) as injuries to the Vaccine Injury Table 5.8 o Update on the Immunization Safety Office Vaccine Activities (CDC) o Update on the National Institute of Allergy and Infectious Diseases Vaccine 5.9 Activities (NIH) o Update on the Center for Biologics, Evaluation and Research Vaccine 5.10 Activities (FDA) 5.11 o Update from the National Vaccine Program Office • Program Related Articles 6 6.1 o Popular Science, “Why Are We So Bad At Producing The Right -
And Detoxification (Benzola]Pyrene Quinones/Oxygen Radicals/NADPH-Cytochrome P-450 Reductase) PAUL L
Proc. Nati. Acad. Sci. USA Vol. 81, pp. 1696-1700, March 1984 Biochemistry Mutagenicity of quinones: Pathways of metabolic activation and detoxification (benzola]pyrene quinones/oxygen radicals/NADPH-cytochrome P-450 reductase) PAUL L. CHESIS*, DAVID E. LEVIN*, MARTYN T. SMITHt, LARS ERNSTERt, AND BRUCE N. AMES* Departments of *Biochemistry and tBiomedical and Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA 94720; and tDepartment of Biochemistry, Arrhenius Laboratory, University of Stockholm, S-10691 Stockholm, Sweden Contributed by Bruce N. Ames, December 12, 1983 ABSTRACT The mutagenicity of various quinones, a class nones might also be mutagenic, and we have tested this pos- of compounds widely distributed in nature, is demonstrated in sibility using the TA104 strain, which is sensitive to a wide the Salmonella TA104 tester strain. The metabolic pathways variety of oxidative mutagens (17). We have also attempted by which four quinones, menadione, benzo[alpyrene 3,6-qui- to characterize the pathways by which several different qui- none, 9,10-phenanthrenequinone, and danthron, caused mu- nones are metabolized and to study the potential mutagenic- tagenicity in this test system were investigated in detail as were ity of the metabolites and side products formed. We there- the detoxification pathways. The two-electron reduction of fore decided to investigate only those quinones that required these quinones by NAD(P)H-quinone oxidoreductase (DT-di- metabolic activation to exhibit mutagenicity. To limit the aphorase) was not mutagenic, whereas the one-electron reduc- scope of this project we also chose not to study quinones tion, catalyzed by NADPH-cytochrome P-450 reductase, was that possess reactive leaving groups. -
Knock-Out Validated Antibodies from Cloud-Clone Cat.No
Knock-out validated antibodies from Cloud-Clone Cat.No. Target PAA778Hu01 B-Cell Leukemia/Lymphoma 2 (Bcl2) PAL763Hu01 Myxovirus Resistance 1 (MX1) PAB698Hu01 Lactate Dehydrogenase B (LDHB) PAA009Hu01 Angiopoietin 2 (ANGPT2) PAA849Ra01 Glycogen Phosphorylase, Liver (PYGL) PAA153Hu01 Alpha-Fetoprotein (aFP) PAF460Hu01 Folate Receptor 1, Adult (FOLR1) PAB233Hu01 Cyclin Dependent Kinase 4 (CDK4) PAA150Hu04 Carcinoembryonic Antigen (CEA) PAB905Hu01 Interleukin 7 Receptor (IL7R) PAC823Hu01 Thymidine Kinase 1, Soluble (TK1) PAH838Hu01 Isocitrate Dehydrogenase 2, mitochondrial (IDH2) PAK078Mu01 Fas Associating Death Domain Containing Protein (FADD) PAA537Hu01 Enolase, Neuron Specific (NSE) PAA651Hu01 Hyaluronan Binding Protein 1 (HABP1) PAB215Hu02 Fibrinogen Beta (FGb) PAB769Hu01 S100 Calcium Binding Protein A6 (S100A6) PAB231Hu01 Keratin 18 (KRT18) PAH839Hu01 Isocitrate Dehydrogenase 1, Soluble (IDH1) PAE748Hu01 Karyopherin Alpha 2 (KPNa2) PAB081Hu02 Heat Shock 70kDa Protein 1A (HSPA1A) PAA778Mu01 B-Cell Leukemia/Lymphoma 2 (Bcl2) PAA853Hu03 Caspase 8 (CASP8) PAA399Mu01 High Mobility Group Protein 1 (HMG1) PAA303Mu01 Galectin 3 (GAL3) PAA537Mu02 Enolase, Neuron Specific (NSE) PAA994Ra01 Acid Phosphatase 1 (ACP1) PAB083Ra01 Superoxide Dismutase 2, Mitochondrial (SOD2) PAB449Mu01 Enolase, Non Neuronal (NNE) PAA376Mu01 Actinin Alpha 2 (ACTN2) PAA553Ra01 Matrix Metalloproteinase 9 (MMP9) PAA929Bo01 Retinol Binding Protein 4, Plasma (RBP4) PAA491Ra02 Keratin 2 (KRT2) PAC025Hu01 Keratin 8 (KRT8) PAB231Mu01 Keratin 18 (KRT18) PAC598Hu03 Vanin 1 (VNN1)