The Amniotic Fluid Proteome Differs Significantly Between Donor And
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Supplemental Information to Mammadova-Bach Et Al., “Laminin Α1 Orchestrates VEGFA Functions in the Ecosystem of Colorectal Carcinogenesis”
Supplemental information to Mammadova-Bach et al., “Laminin α1 orchestrates VEGFA functions in the ecosystem of colorectal carcinogenesis” Supplemental material and methods Cloning of the villin-LMα1 vector The plasmid pBS-villin-promoter containing the 3.5 Kb of the murine villin promoter, the first non coding exon, 5.5 kb of the first intron and 15 nucleotides of the second villin exon, was generated by S. Robine (Institut Curie, Paris, France). The EcoRI site in the multi cloning site was destroyed by fill in ligation with T4 polymerase according to the manufacturer`s instructions (New England Biolabs, Ozyme, Saint Quentin en Yvelines, France). Site directed mutagenesis (GeneEditor in vitro Site-Directed Mutagenesis system, Promega, Charbonnières-les-Bains, France) was then used to introduce a BsiWI site before the start codon of the villin coding sequence using the 5’ phosphorylated primer: 5’CCTTCTCCTCTAGGCTCGCGTACGATGACGTCGGACTTGCGG3’. A double strand annealed oligonucleotide, 5’GGCCGGACGCGTGAATTCGTCGACGC3’ and 5’GGCCGCGTCGACGAATTCACGC GTCC3’ containing restriction site for MluI, EcoRI and SalI were inserted in the NotI site (present in the multi cloning site), generating the plasmid pBS-villin-promoter-MES. The SV40 polyA region of the pEGFP plasmid (Clontech, Ozyme, Saint Quentin Yvelines, France) was amplified by PCR using primers 5’GGCGCCTCTAGATCATAATCAGCCATA3’ and 5’GGCGCCCTTAAGATACATTGATGAGTT3’ before subcloning into the pGEMTeasy vector (Promega, Charbonnières-les-Bains, France). After EcoRI digestion, the SV40 polyA fragment was purified with the NucleoSpin Extract II kit (Machery-Nagel, Hoerdt, France) and then subcloned into the EcoRI site of the plasmid pBS-villin-promoter-MES. Site directed mutagenesis was used to introduce a BsiWI site (5’ phosphorylated AGCGCAGGGAGCGGCGGCCGTACGATGCGCGGCAGCGGCACG3’) before the initiation codon and a MluI site (5’ phosphorylated 1 CCCGGGCCTGAGCCCTAAACGCGTGCCAGCCTCTGCCCTTGG3’) after the stop codon in the full length cDNA coding for the mouse LMα1 in the pCIS vector (kindly provided by P. -
Oral Absorption of Peptides and Nanoparticles Across the Human Intestine: Opportunities, Limitations and Studies in Human Tissues☆
Advanced Drug Delivery Reviews 106 (2016) 256–276 Contents lists available at ScienceDirect Advanced Drug Delivery Reviews journal homepage: www.elsevier.com/locate/addr Oral absorption of peptides and nanoparticles across the human intestine: Opportunities, limitations and studies in human tissues☆ P. Lundquist, P. Artursson ⁎ Department of Pharmacy, Uppsala University, Box 580, SE-752 37 Uppsala, Sweden article info abstract Article history: In this contribution, we review the molecular and physiological barriers to oral delivery of peptides and nanopar- Received 2 May 2016 ticles. We discuss the opportunities and predictivity of various in vitro systems with special emphasis on human Received in revised form 2 July 2016 intestine in Ussing chambers. First, the molecular constraints to peptide absorption are discussed. Then the phys- Accepted 8 July 2016 iological barriers to peptide delivery are examined. These include the gastric and intestinal environment, the Available online 3 August 2016 mucus barrier, tight junctions between epithelial cells, the enterocytes of the intestinal epithelium, and the Keywords: subepithelial tissue. Recent data from human proteome studies are used to provide information about the protein fi Oral drug delivery expression pro les of the different physiological barriers to peptide and nanoparticle absorption. Strategies that Peptide drugs have been employed to increase peptide absorption across each of the barriers are discussed. Special consider- Nanoparticles ation is given to attempts at utilizing endogenous transcytotic pathways. To reliably translate in vitro data on Ussing chamber peptide or nanoparticle permeability to the in vivo situation in a human subject, the in vitro experimental system Peptide permeability needs to realistically capture the central aspects of the mentioned barriers. -
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 -
Isolated Nigral Degeneration Without Pathological Protein Aggregation In
Takanashi et al. Acta Neuropathologica Communications (2018) 6:105 https://doi.org/10.1186/s40478-018-0617-y RESEARCH Open Access Isolated nigral degeneration without pathological protein aggregation in autopsied brains with LRRK2 p.R1441H homozygous and heterozygous mutations Masashi Takanashi1*† , Manabu Funayama2,3,4†, Eiji Matsuura5, Hiroyo Yoshino2, Yuanzhe Li4, Sho Tsuyama6, Hiroshi Takashima5, Kenya Nishioka4 and Nobutaka Hattori2,3,4* Abstract Leucine-rich repeat kinase 2 (LRRK2) is the most common causative gene for autosomal dominant Parkinson’s disease (PD) and is also known to be a susceptibility gene for sporadic PD. Although clinical symptoms with LRRK2 mutations are similar to those in sporadic PD, their pathologies are heterogeneous and include nigral degeneration with abnormal inclusions containing alpha-synuclein, tau, TAR DNA-binding protein 43, and ubiquitin, or pure nigral degeneration with no protein aggregation pathologies. We discovered two families harboring heterozygous and homozygous c.4332 G > A; p.R1441H in LRRK2 with consanguinity, sharing a common founder. They lived in the city of Makurazaki, located in a rural area of the southern region, the Kagoshima prefecture, in Kyushu, Japan. All patients presented late-onset parkinsonism without apparent cognitive decline and demonstrated a good response to levodopa. We obtained three autopsied cases that all presented with isolated nigral degeneration with no alpha- synuclein or other protein inclusions. This is the first report of neuropathological findings in patients with LRRK2 p.R1441H mutations that includes both homozygous and heterozygous mutations. Our findings in this study suggest that isolated nigral degeneration is the primary pathology in patients with LRRK2 p.R1441H mutations, and that protein aggregation of alpha-synuclein or tau might be secondary changes. -
High Definition Analyses of Single Cohort, Whole Genome Sequencing Data Provides a Direct Route
medRxiv preprint doi: https://doi.org/10.1101/2021.08.28.21262560; this version posted September 1, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. High definition analyses of single cohort, whole genome sequencing data provides a direct route to defining sub-phenotypes and personalising medicine Joyce KE1,2, Onabanjo E3, Brownlow S3, Nur F3, Olupona KO3, Fakayode K3, Sroya M4, Thomas G4, Ferguson T3, Redhead J3, Millar CM3,5, Cooper N3,5, Layton DM3,5, Boardman-Pretty F6, Caulfield MJ6,7, Genomics England Research Consortium6, Shovlin CL2,3,8* 1Imperial College School of Medicine, Imperial College, London UK; 2Genomics England Respiratory Clinical Interpretation Partnership (GeCIP); 3West London Genomic Medicine Centre, Imperial College Healthcare NHS Trust, London UK; 4Department of Surgery and Cancer, Imperial College London, UK; 5Centre for Haematology, Department of Immunology and Inflammation, Imperial College London UK; 6Genomics England, UK; 7 William Harvey Research Institute, Queen Mary University of London, London UK; 8National Heart and Lung Institute, Imperial College London UK. Word Count 4778 Abstract 150 Figures – 5 Data Supplement File- 1 *Corresponding Author: Claire L. Shovlin PhD FRCP, National Heart and Lung Institute, Imperial Centre for Translational and Experimental Medicine, Imperial College London, Hammersmith Campus, Du Cane Road, London W12 0NN, UK. Email [email protected] NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. -
Mucin Family Genes Are Downregulated in Colorectal
ooggeenneessii iinn ss && rrcc aa MM CC uu tt ff aa Journal ofJournal of oo gg Aziz et al., J Carcinogene Mutagene 2014, S10 ll ee ee aa aa nn nn nn nn ee ee rr rr ss ss uu uu ii ii ss ss oo oo DOI: 4172/2157-2518.S10-009 JJ JJ ISSN: 2157-2518 CarCarcinogenesiscinogenesis & Mutagenesis Research Article Article OpenOpen Access Access Mucin Family Genes are Downregulated in Colorectal Cancer Patients Mohammad Azhar Aziz*, Majed AlOtaibi, Abdulkareem AlAbdulrahman, Mohammed AlDrees and Ibrahim AlAbdulkarim Department of Medical Genomics, KIng Abdullah Intl. Med. Res. Ctr., King Saud Bin Abdul Aziz University for Health Sciences, Riyadh, Saudi Arabia Abstract Mucins are very well known to be associated with different types of cancer. Their role in colorectal cancer has been extensively studied without direct correlation with their change in expression levels. In the present study we employed the human exon array from Affymetrix to provide evidence that mucin family genes are downregulated in colorectal cancer tumor samples. We analyzed 92 samples taken from normal and tumor tissues. All mucin family genes except MUCL1 were downregulated with the fold change value ranging from -3.53 to 1.78 as calculated using AltAnalyze software. Maximum drop in RNA transcripts were observed for MUC2 with a fold change of -3.53. Further, we carried out Integromics analysis to analyze mucin genes using hierarchical clustering. MUC1 and MUC4 were found to be potential biomarkers for human colorectal cancer. Top upstream regulators were identified for mucin genes. Network analyses were carried out to further our understanding about potential mechanisms by which mucins can be involved in causing colorectal cancer. -
The Mucin 5AC Level in Medical Faculty Students with Computer Vision Syndrome (CVS)
ORIGINAL ARTICLE Bali Medical Journal (Bali Med J) 2019, Volume 8, Number 2: 460-463 P-ISSN.2089-1180, E-ISSN.2302-2914 The mucin 5AC level in medical faculty students with ORIGINAL ARTICLE Computer Vision Syndrome (CVS) Published by DiscoverSys CrossMark Doi: http://dx.doi.org/10.15562/bmj.v8i2.1425 I Gusti Ayu Made Juliari,1* Ratna Sari Dewi,1 Ni Luh Made Novi Ratnasari,2 Ariesanti Tri Handayani1 Volume No.: 8 ABSTRACT Introduction: Prolonged computer use will lead to a group of level which less than 186.33 ng/mL categorized as low mucin, while symptoms such as dryness of eyes, tired, headache and others called more than 186.33 ng/mL categorized as normal mucin level. Data was Issue: 2 Computer Vision Syndrome (CVS). The decrease of Mucin 5 AC (MUC5AC) analyzed by crosstabulation table and chi-square test with significant level could be one of the signs of dry eye disease on persons with CVS. value p < 0.05. Objective: The purpose of this study is to describe the Mucin 5AC Result: Most of the students who diagnosed with CVS had lower level in medical faculty students of Udayana University, Bali, Indonesia mucin 5AC levels as much as 77,3% and 33,3% students with CVS had First page No.: 460 with CVS. normal mucin 5AC level. This study analyses found there is significant Method: It is an observational cross-sectional analytic study at association between level of mucin 5AC with CVS. The students with Medical Faculty Udayana University on October 2018. Thirty four low level of mucin 5AC had 6,8 higher risk tend to be CVS (OR=6,8; CI P-ISSN.2089-1180 subject selected by purposive sampling and examined with Schirmer 95%= 1,42-32,37; p=0,012). -
Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. 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. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. 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. Abstract The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes. -
Mucins: the Old, the New and the Promising Factors in Hepatobiliary Carcinogenesis
International Journal of Molecular Sciences Review Mucins: the Old, the New and the Promising Factors in Hepatobiliary Carcinogenesis Aldona Kasprzak 1,* and Agnieszka Adamek 2 1 Department of Histology and Embryology, Poznan University of Medical Sciences, Swiecicki Street 6, 60-781 Pozna´n,Poland 2 Department of Infectious Diseases, Hepatology and Acquired Immunodeficiencies, University of Medical Sciences, Szwajcarska Street 3, 61-285 Pozna´n,Poland; [email protected] * Correspondence: [email protected]; Tel.: +48-61-8546441; Fax: +48-61-8546440 Received: 25 February 2019; Accepted: 10 March 2019; Published: 14 March 2019 Abstract: Mucins are large O-glycoproteins with high carbohydrate content and marked diversity in both the apoprotein and the oligosaccharide moieties. All three mucin types, trans-membrane (e.g., MUC1, MUC4, MUC16), secreted (gel-forming) (e.g., MUC2, MUC5AC, MUC6) and soluble (non-gel-forming) (e.g., MUC7, MUC8, MUC9, MUC20), are critical in maintaining cellular functions, particularly those of epithelial surfaces. Their aberrant expression and/or altered subcellular localization is a factor of tumour growth and apoptosis induced by oxidative stress and several anti-cancer agents. Abnormal expression of mucins was observed in human carcinomas that arise in various gastrointestinal organs. It was widely believed that hepatocellular carcinoma (HCC) does not produce mucins, whereas cholangiocarcinoma (CC) or combined HCC-CC may produce these glycoproteins. However, a growing number of reports shows that mucins can be produced by HCC cells that do not exhibit or are yet to undergo, morphological differentiation to biliary phenotypes. Evaluation of mucin expression levels in precursors and early lesions of CC, as well as other types of primary liver cancer (PLC), conducted in in vitro and in vivo models, allowed to discover the mechanisms of their action, as well as their participation in the most important signalling pathways of liver cystogenesis and carcinogenesis. -
Table S1. Identified Proteins with Exclusive Expression in Cerebellum of Rats of Control, 10Mg F/L and 50Mg F/L Groups
Table S1. Identified proteins with exclusive expression in cerebellum of rats of control, 10mg F/L and 50mg F/L groups. Accession PLGS Protein Name Group IDa Score Q3TXS7 26S proteasome non-ATPase regulatory subunit 1 435 Control Q9CQX8 28S ribosomal protein S36_ mitochondrial 197 Control P52760 2-iminobutanoate/2-iminopropanoate deaminase 315 Control Q60597 2-oxoglutarate dehydrogenase_ mitochondrial 67 Control P24815 3 beta-hydroxysteroid dehydrogenase/Delta 5-->4-isomerase type 1 84 Control Q99L13 3-hydroxyisobutyrate dehydrogenase_ mitochondrial 114 Control P61922 4-aminobutyrate aminotransferase_ mitochondrial 470 Control P10852 4F2 cell-surface antigen heavy chain 220 Control Q8K010 5-oxoprolinase 197 Control P47955 60S acidic ribosomal protein P1 190 Control P70266 6-phosphofructo-2-kinase/fructose-2_6-bisphosphatase 1 113 Control Q8QZT1 Acetyl-CoA acetyltransferase_ mitochondrial 402 Control Q9R0Y5 Adenylate kinase isoenzyme 1 623 Control Q80TS3 Adhesion G protein-coupled receptor L3 59 Control B7ZCC9 Adhesion G-protein coupled receptor G4 139 Control Q6P5E6 ADP-ribosylation factor-binding protein GGA2 45 Control E9Q394 A-kinase anchor protein 13 60 Control Q80Y20 Alkylated DNA repair protein alkB homolog 8 111 Control P07758 Alpha-1-antitrypsin 1-1 78 Control P22599 Alpha-1-antitrypsin 1-2 78 Control Q00896 Alpha-1-antitrypsin 1-3 78 Control Q00897 Alpha-1-antitrypsin 1-4 78 Control P57780 Alpha-actinin-4 58 Control Q9QYC0 Alpha-adducin 270 Control Q9DB05 Alpha-soluble NSF attachment protein 156 Control Q6PAM1 Alpha-taxilin 161 -
Appendix 2. Significantly Differentially Regulated Genes in Term Compared with Second Trimester Amniotic Fluid Supernatant
Appendix 2. Significantly Differentially Regulated Genes in Term Compared With Second Trimester Amniotic Fluid Supernatant Fold Change in term vs second trimester Amniotic Affymetrix Duplicate Fluid Probe ID probes Symbol Entrez Gene Name 1019.9 217059_at D MUC7 mucin 7, secreted 424.5 211735_x_at D SFTPC surfactant protein C 416.2 206835_at STATH statherin 363.4 214387_x_at D SFTPC surfactant protein C 295.5 205982_x_at D SFTPC surfactant protein C 288.7 1553454_at RPTN repetin solute carrier family 34 (sodium 251.3 204124_at SLC34A2 phosphate), member 2 238.9 206786_at HTN3 histatin 3 161.5 220191_at GKN1 gastrokine 1 152.7 223678_s_at D SFTPA2 surfactant protein A2 130.9 207430_s_at D MSMB microseminoprotein, beta- 99.0 214199_at SFTPD surfactant protein D major histocompatibility complex, class II, 96.5 210982_s_at D HLA-DRA DR alpha 96.5 221133_s_at D CLDN18 claudin 18 94.4 238222_at GKN2 gastrokine 2 93.7 1557961_s_at D LOC100127983 uncharacterized LOC100127983 93.1 229584_at LRRK2 leucine-rich repeat kinase 2 HOXD cluster antisense RNA 1 (non- 88.6 242042_s_at D HOXD-AS1 protein coding) 86.0 205569_at LAMP3 lysosomal-associated membrane protein 3 85.4 232698_at BPIFB2 BPI fold containing family B, member 2 84.4 205979_at SCGB2A1 secretoglobin, family 2A, member 1 84.3 230469_at RTKN2 rhotekin 2 82.2 204130_at HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 81.9 222242_s_at KLK5 kallikrein-related peptidase 5 77.0 237281_at AKAP14 A kinase (PRKA) anchor protein 14 76.7 1553602_at MUCL1 mucin-like 1 76.3 216359_at D MUC7 mucin 7, -
MALE Protein Name Accession Number Molecular Weight CP1 CP2 H1 H2 PDAC1 PDAC2 CP Mean H Mean PDAC Mean T-Test PDAC Vs. H T-Test
MALE t-test t-test Accession Molecular H PDAC PDAC vs. PDAC vs. Protein Name Number Weight CP1 CP2 H1 H2 PDAC1 PDAC2 CP Mean Mean Mean H CP PDAC/H PDAC/CP - 22 kDa protein IPI00219910 22 kDa 7 5 4 8 1 0 6 6 1 0.1126 0.0456 0.1 0.1 - Cold agglutinin FS-1 L-chain (Fragment) IPI00827773 12 kDa 32 39 34 26 53 57 36 30 55 0.0309 0.0388 1.8 1.5 - HRV Fab 027-VL (Fragment) IPI00827643 12 kDa 4 6 0 0 0 0 5 0 0 - 0.0574 - 0.0 - REV25-2 (Fragment) IPI00816794 15 kDa 8 12 5 7 8 9 10 6 8 0.2225 0.3844 1.3 0.8 A1BG Alpha-1B-glycoprotein precursor IPI00022895 54 kDa 115 109 106 112 111 100 112 109 105 0.6497 0.4138 1.0 0.9 A2M Alpha-2-macroglobulin precursor IPI00478003 163 kDa 62 63 86 72 14 18 63 79 16 0.0120 0.0019 0.2 0.3 ABCB1 Multidrug resistance protein 1 IPI00027481 141 kDa 41 46 23 26 52 64 43 25 58 0.0355 0.1660 2.4 1.3 ABHD14B Isoform 1 of Abhydrolase domain-containing proteinIPI00063827 14B 22 kDa 19 15 19 17 15 9 17 18 12 0.2502 0.3306 0.7 0.7 ABP1 Isoform 1 of Amiloride-sensitive amine oxidase [copper-containing]IPI00020982 precursor85 kDa 1 5 8 8 0 0 3 8 0 0.0001 0.2445 0.0 0.0 ACAN aggrecan isoform 2 precursor IPI00027377 250 kDa 38 30 17 28 34 24 34 22 29 0.4877 0.5109 1.3 0.8 ACE Isoform Somatic-1 of Angiotensin-converting enzyme, somaticIPI00437751 isoform precursor150 kDa 48 34 67 56 28 38 41 61 33 0.0600 0.4301 0.5 0.8 ACE2 Isoform 1 of Angiotensin-converting enzyme 2 precursorIPI00465187 92 kDa 11 16 20 30 4 5 13 25 5 0.0557 0.0847 0.2 0.4 ACO1 Cytoplasmic aconitate hydratase IPI00008485 98 kDa 2 2 0 0 0 0 2 0 0 - 0.0081 - 0.0