THAP1 Conjugated Antibody

Total Page:16

File Type:pdf, Size:1020Kb

THAP1 Conjugated Antibody Product Datasheet THAP1 Conjugated Antibody Catalog No: #C48420 Package Size: #C48420-AF350 100ul #C48420-AF405 100ul #C48420-AF488 100ul Orders: [email protected] Support: [email protected] #C48420-AF555 100ul #C48420-AF594 100ul #C48420-AF647 100ul #C48420-AF680 100ul #C48420-AF750 100ul #C48420-Biotin 100ul Description Product Name THAP1 Conjugated Antibody Host Species Mouse Clonality Monoclonal Species Reactivity Hu Immunogen Description Recombinant protein Conjugates Biotin AF350 AF405 AF488 AF555 AF594 AF647 AF680 AF750 Other Names 4833431A01Rik antibody DYT6 antibody FLJ10477 antibody MGC33014 antibody Nuclear proapoptotic factor antibody THAP 1 antibody THAP domain containing 1 antibody THAP domain containing apoptosis associated protein 1 antibody THAP domain containing protein 1 antibody THAP domain protein 1 antibody THAP domain-containing protein 1 antibody Thap1 antibody THAP1_HUMAN antibody Accession No. Swiss-Prot#:Q9NVV9 Calculated MW 25 kDa Formulation 0.01M Sodium Phosphate, 0.25M NaCl, pH 7.6, 5mg/ml Bovine Serum Albumin, 0.02% Sodium Azide Storage Store at 4°C in dark for 6 months Application Details Suggested Dilution: AF350 conjugated: most applications: 1: 50 - 1: 250 AF405 conjugated: most applications: 1: 50 - 1: 250 AF488 conjugated: most applications: 1: 50 - 1: 250 AF555 conjugated: most applications: 1: 50 - 1: 250 AF594 conjugated: most applications: 1: 50 - 1: 250 AF647 conjugated: most applications: 1: 50 - 1: 250 AF680 conjugated: most applications: 1: 50 - 1: 250 AF750 conjugated: most applications: 1: 50 - 1: 250 Biotin conjugated: working with enzyme-conjugated streptavidin, most applications: 1: 50 - 1: 1,000 Background THAP1 (THAP domain containing, apoptosis associated protein 1) is a 213 amino acid protein that localizes to the nucleoplasm and contains one THAP-type zinc finger, a conserved DNA-binding domain. Interacting with PAR4, THAP1 functions as a pro-apoptotic protein that acts in a zinc-dependent manner and enhances the likelihood of both TNF- and serum withdrawal-induced apoptosis, possibly playing a role in promyelocytic leukemia. The gene encoding THAP1 maps to human chromosome 8, which consists of nearly 146 million base pairs, houses more than 800 genes and is associated with a variety of diseases and malignancies. Schizophrenia, bipolar disorder, Trisomy 8, Pfeiffer syndrome, congenital hypothyroidism, Waardenburg syndrome and some leukemias and lymphomas are thought to occur as a result of defects in specific genes that map to Address: 8400 Baltimore Ave., Suite 302, College Park, MD 20740, USA http://www.sabbiotech.com 1 chromosome 8. Note: This product is for in vitro research use only and is not intended for use in humans or animals. Address: 8400 Baltimore Ave., Suite 302, College Park, MD 20740, USA http://www.sabbiotech.com 2.
Recommended publications
  • 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.
    [Show full text]
  • Structural Basis for the Regulatory Interactions of Proapoptotic Par-4
    Cell Death and Differentiation (2017) 24, 1540–1547 Official journal of the Cell Death Differentiation Association OPEN www.nature.com/cdd Structural basis for the regulatory interactions of proapoptotic Par-4 Udaya K Tiruttani Subhramanyam1,2, Jan Kubicek2,3, Ulf B Eidhoff2 and Joerg Labahn*,1,2 Par-4 is a unique proapoptotic protein with the ability to induce apoptosis selectively in cancer cells. The X-ray crystal structure of the C-terminal domain of Par-4 (Par-4CC), which regulates its apoptotic function, was obtained by MAD phasing. Par-4 homodimerizes by forming a parallel coiled-coil structure. The N-terminal half of Par-4CC contains the homodimerization subdomain. This structure includes a nuclear export signal (Par-4NES) sequence, which is masked upon dimerization indicating a potential mechanism for nuclear localization. The heteromeric-interaction models specifically showed that charge interaction is an important factor in the stability of heteromers of the C-terminal leucine zipper subdomain of Par-4 (Par-4LZ). These heteromer models also displayed NES masking capacity and therefore the ability to influence intracellular localization. Cell Death and Differentiation (2017) 24, 1540–1547; doi:10.1038/cdd.2017.76; published online 16 June 2017 Par-4 is a 332 amino-acid proapoptotic protein with tumor mainly shown to mediates the interaction with partner proteins suppressor activity. Par-4 had been predicted to be largely such as PKCζ,15 WT1,16 Akt1,13 apoptosis antagonizing disordered.1 Its downregulation or non-functional state
    [Show full text]
  • FARE2021WINNERS Sorted by Institute
    FARE2021WINNERS Sorted By Institute Swati Shah Postdoctoral Fellow CC Radiology/Imaging/PET and Neuroimaging Characterization of CNS involvement in Ebola-Infected Macaques using Magnetic Resonance Imaging, 18F-FDG PET and Immunohistology The Ebola (EBOV) virus outbreak in Western Africa resulted in residual neurologic abnormalities in survivors. Many case studies detected EBOV in the CSF, suggesting that the neurologic sequelae in survivors is related to viral presence. In the periphery, EBOV infects endothelial cells and triggers a “cytokine stormâ€. However, it is unclear whether a similar process occurs in the brain, with secondary neuroinflammation, neuronal loss and blood-brain barrier (BBB) compromise, eventually leading to lasting neurological damage. We have used in vivo imaging and post-necropsy immunostaining to elucidate the CNS pathophysiology in Rhesus macaques infected with EBOV (Makona). Whole brain MRI with T1 relaxometry (pre- and post-contrast) and FDG-PET were performed to monitor the progression of disease in two cohorts of EBOV infected macaques from baseline to terminal endpoint (day 5-6). Post-necropsy, multiplex fluorescence immunohistochemical (MF-IHC) staining for various cellular markers in the thalamus and brainstem was performed. Serial blood and CSF samples were collected to assess disease progression. The linear mixed effect model was used for statistical analysis. Post-infection, we first detected EBOV in the serum (day 3) and CSF (day 4) with dramatic increases until euthanasia. The standard uptake values of FDG-PET relative to whole brain uptake (SUVr) in the midbrain, pons, and thalamus increased significantly over time (p<0.01) and positively correlated with blood viremia (p≤0.01).
    [Show full text]
  • DNABERT: Pre-Trained Bidirectional Encoder Representations from Transformers Model for DNA-Language in Genome
    bioRxiv preprint doi: https://doi.org/10.1101/2020.09.17.301879; this version posted September 19, 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. DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome Yanrong Ji1,†, Zhihan Zhou2,†, Han Liu2,* and Ramana V Davuluri3,* 1 Division of Health and Biomedical Informatics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA 2 Department of Computer Science, Northwestern University, Evanston, IL 60208, USA 3 Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY 11794, USA * To whom correspondence should be addressed. [email protected] and [email protected] † Equal contribution ABSTRACT Deciphering the language of non-coding DNA is one of the fundamental problems in genome research. Gene regulatory code is highly complex due to the existence of polysemy and distant semantic relationship, which previous informatics methods often fail to capture especially in data- scarce scenarios. To address this challenge, we developed a novel pre-trained bidirectional encoder representation, named DNABERT, that forms global and transferrable understanding of genomic DNA sequences based on up and downstream nucleotide contexts. We show that the single pre-trained transformers model can simultaneously achieve state-of-the-art performance on many sequence predictions tasks, after easy fine-tuning using small task-specific data. Further, DNABERT enables direct visualization of nucleotide-level importance and semantic relationship within input sequences for better interpretability and accurate identification of conserved sequence motifs and functional genetic variants.
    [Show full text]
  • Expression of PAWR Predicts Prognosis of Ovarian Cancer Jiahong Tan1,2, Kangjia Tao1,2, Xu Zheng1,2, Dan Liu1,2, Ding Ma1,2 and Qinglei Gao1,2*
    Tan et al. Cancer Cell Int (2020) 20:598 https://doi.org/10.1186/s12935-020-01704-y Cancer Cell International PRIMARY RESEARCH Open Access Expression of PAWR predicts prognosis of ovarian cancer Jiahong Tan1,2, Kangjia Tao1,2, Xu Zheng1,2, Dan Liu1,2, Ding Ma1,2 and Qinglei Gao1,2* Abstract Background: Ovarian cancer greatly threatens the general health of women worldwide. Implementation of predic- tive prognostic biomarkers aids in ovarian cancer management. Methods: Using online databases, the general expression profle, target-disease associations, and interaction net- work of PAWR were explored. To identify the role of PAWR in ovarian cancer, gene correlation analysis, survival analysis, and combined analysis of drug responsiveness and PAWR expression were performed. The predictive prognostic value of PAWR was further validated in clinical samples. Results: PAWR was widely expressed in normal and cancer tissues, with decreased expression in ovarian cancer tissues compared with normal tissues. PAWR was associated with various cancers including ovarian cancer. PAWR formed a regulatory network with a group of proteins and correlated with several genes, which were both implicated in ovarian cancer and drug responsiveness. High PAWR expression denoted better survival in ovarian cancer patients (OS: HR 0.84, P 0.0077; PFS, HR 0.86, P 0.049). Expression of PAWR could predict platinum responsiveness in ovarian =cancer and= there was a positive= correlation= between PAWR gene efect and paclitaxel sensitivity. In 12 paired clinical samples, the cancerous tissues exhibited signifcantly lower PAWR expression than matched normal fallopian tubes. The predictive prognostic value of PAWR was maintained in a cohort of 50 ovarian cancer patients.
    [Show full text]
  • THAP1 Gene THAP Domain Containing 1
    THAP1 gene THAP domain containing 1 Normal Function The THAP1 gene provides instructions for making a protein that is a transcription factor, which means that it attaches (binds) to specific regions of DNA and regulates the activity of other genes. Through this function, it is thought to help control several processes in the body, including the growth and division (proliferation) of endothelial cells, which line the inside surface of blood vessels and other circulatory system structures called lymphatic vessels. The THAP1 protein also plays a role in the self- destruction of cells that are no longer needed (apoptosis). Health Conditions Related to Genetic Changes Dystonia 6 More than 70 THAP1 gene mutations have been identified in people with dystonia 6. Dystonia 6 is one of many forms of dystonia, which is a group of conditions characterized by involuntary movements, twisting (torsion) and tensing of various muscles, and unusual positioning of affected body parts. Most of the THAP1 gene mutations that cause dystonia 6 change single protein building blocks (amino acids) in the THAP1 protein or result in a premature stop signal that leads to an abnormally short protein. Studies indicate that many of the mutations affect the stability of the THAP1 protein, reducing the amount of functional THAP1 protein available for DNA binding. Others may impair the protein's ability to bind with the correct regions of DNA. Problems with DNA binding likely disrupt the proper regulation of gene activity, leading to the signs and symptoms of dystonia 6. A particular THAP1 gene mutation is specific to a Mennonite population in the Midwestern United States in which dystonia 6 was first described.
    [Show full text]
  • A Woman with a Novel Mutation of THAP1 with a Prominent Response to Deep Brain Stimulation of the Globus Pallidus Internus
    Clinical Review & Education Images in Neurology A Woman With a Novel Mutation of THAP1 With a Prominent Response to Deep Brain Stimulation of the Globus Pallidus Internus Jung E. Park, MD; Nora Vanegas-Arroyave, MD; Mark Hallett, MD; Codrin Lungu, MD A 27-year-old woman presented with generalized dystonia that be- den = 3). Whole-exome sequencing revealed a frameshift mutation, gan at age 15 years as dystonic posturing of the right hand when writ- confirmed as a novel 2–base pair deletion mutation in exon 3 of the ing. She was diagnosed with cervical dystonia and botulinum toxin THAP1 gene (heterozygous exon 3 c.377_378delCT,p.Pro126Args*2) injections were tried, providing via full sequencing analysis of DYT6. minimal pain relief and no im- Video at jamaneurology.com provement of the dystonia. The Discussion cervical dystonia was partially DYT6 dystonia is an autosomal dominant form of isolated dysto- responsive to sensory tricks (Video, A). She was most bothered by nia, presenting in adolescence or adulthood.1 Symptoms are vari- her cervical dystonia, and disability was 6 on Part II of the Toronto able, commonly affecting the cranio-cervical region.1 The locus has Western Spasmodic Torticollis Rating Scale (TWSTRS). been identified on chromosome 8p21-q22 and the gene is desig- On examination, she had increased rate of eye blinking and oc- nated THAP1 (Thanatos-associated protein 1).2 casional spasms involving the lower face, mouth, and jaw, and mild Deep brain stimulation of the GPi in patients with primary gener- dysarthria. Severe right torticollis and an intermittent head tremor alizedorsegmentaldystoniacanresultinsignificantimprovementdur- were present.
    [Show full text]
  • STAT3 Targets Suggest Mechanisms of Aggressive Tumorigenesis in Diffuse Large B Cell Lymphoma
    STAT3 Targets Suggest Mechanisms of Aggressive Tumorigenesis in Diffuse Large B Cell Lymphoma Jennifer Hardee*,§, Zhengqing Ouyang*,1,2,3, Yuping Zhang*,4 , Anshul Kundaje*,†, Philippe Lacroute*, Michael Snyder*,5 *Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305; §Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06520; and †Department of Computer Science, Stanford University School of Engineering, Stanford, CA 94305 1The Jackson Laboratory for Genomic Medicine, Farmington, CT 06030 2Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269 3Department of Genetics and Developmental Biology, University of Connecticut Health Center, Farmington, CT 06030 4Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT 06520 5Corresponding author: Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305. Email: [email protected] DOI: 10.1534/g3.113.007674 Figure S1 STAT3 immunoblotting and immunoprecipitation with sc-482. Western blot and IPs show a band consistent with expected size (88 kDa) of STAT3. (A) Western blot using antibody sc-482 versus nuclear lysates. Lanes contain (from left to right) lysate from K562 cells, GM12878 cells, HeLa S3 cells, and HepG2 cells. (B) IP of STAT3 using sc-482 in HeLa S3 cells. Lane 1: input nuclear lysate; lane 2: unbound material from IP with sc-482; lane 3: material IP’d with sc-482; lane 4: material IP’d using control rabbit IgG. Arrow indicates the band of interest. (C) IP of STAT3 using sc-482 in K562 cells. Lane 1: input nuclear lysate; lane 2: material IP’d using control rabbit IgG; lane 3: material IP’d with sc-482.
    [Show full text]
  • Whole-Genome Association Analyses of Sleep-Disordered Breathing Phenotypes in the NHLBI Topmed Program Brian E
    Cade et al. Genome Medicine (2021) 13:136 https://doi.org/10.1186/s13073-021-00917-8 RESEARCH Open Access Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program Brian E. Cade1,2,3* , Jiwon Lee1, Tamar Sofer1,2, Heming Wang1,2,3, Man Zhang4, Han Chen5,6, Sina A. Gharib7, Daniel J. Gottlieb1,2,8, Xiuqing Guo9, Jacqueline M. Lane1,2,3,10, Jingjing Liang11, Xihong Lin12, Hao Mei13, Sanjay R. Patel14, Shaun M. Purcell1,2,3, Richa Saxena1,2,3,10, Neomi A. Shah15, Daniel S. Evans16, Craig L. Hanis5, David R. Hillman17, Sutapa Mukherjee18,19, Lyle J. Palmer20, Katie L. Stone16, Gregory J. Tranah16, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Gonçalo R. Abecasis21,EricA.Boerwinkle5,22, Adolfo Correa23,24, L. Adrienne Cupples25,26,RobertC.Kaplan27, Deborah A. Nickerson28,29,KariE.North30,BruceM.Psaty31,32, Jerome I. Rotter9,StephenS.Rich33, Russell P. Tracy34, Ramachandran S. Vasan26,35,36, James G. Wilson37,XiaofengZhu11, Susan Redline1,2,38 andTOPMedSleepWorkingGroup Abstract Background: Sleep-disordered breathing is a common disorder associated with significant morbidity. The genetic architecture of sleep-disordered breathing remains poorly understood. Through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, we performed the first whole-genome sequence analysis of sleep-disordered breathing. Methods: The study sample was comprised of 7988 individuals of diverse ancestry. Common-variant and pathway analyses included an additional 13,257 individuals. We examined five complementary traits describing different aspects of sleep-disordered breathing: the apnea-hypopnea index, average oxyhemoglobin desaturation per event, average and minimum oxyhemoglobin saturation across the sleep episode, and the percentage of sleep with oxyhemoglobin saturation < 90%.
    [Show full text]
  • MOL #82305 TITLE PAGE Title: Induced CYP3A4 Expression In
    Downloaded from molpharm.aspetjournals.org at ASPET Journals on September 28, 2021 1 This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted. The final version may differ from this version. This article has not been copyedited and formatted.
    [Show full text]
  • Investigating the Effects of Chronic Perinatal Alcohol and Combined
    www.nature.com/scientificreports OPEN Investigating the efects of chronic perinatal alcohol and combined nicotine and alcohol exposure on dopaminergic and non‑dopaminergic neurons in the VTA Tina Kazemi, Shuyan Huang, Naze G. Avci, Yasemin M. Akay & Metin Akay* The ventral tegmental area (VTA) is the origin of dopaminergic neurons and the dopamine (DA) reward pathway. This pathway has been widely studied in addiction and drug reinforcement studies and is believed to be the central processing component of the reward circuit. In this study, we used a well‑ established rat model to expose mother dams to alcohol, nicotine‑alcohol, and saline perinatally. DA and non‑DA neurons collected from the VTA of the rat pups were used to study expression profles of miRNAs and mRNAs. miRNA pathway interactions, putative miRNA‑mRNA target pairs, and downstream modulated biological pathways were analyzed. In the DA neurons, 4607 genes were diferentially upregulated and 4682 were diferentially downregulated following nicotine‑alcohol exposure. However, in the non‑DA neurons, only 543 genes were diferentially upregulated and 506 were diferentially downregulated. Cell proliferation, diferentiation, and survival pathways were enriched after the treatments. Specifcally, in the PI3K/AKT signaling pathway, there were 41 miRNAs and 136 mRNAs diferentially expressed in the DA neurons while only 16 miRNAs and 20 mRNAs were diferentially expressed in the non‑DA neurons after the nicotine‑alcohol exposure. These results depicted that chronic nicotine and alcohol exposures during pregnancy diferentially afect both miRNA and gene expression profles more in DA than the non‑DA neurons in the VTA. Understanding how the expression signatures representing specifc neuronal subpopulations become enriched in the VTA after addictive substance administration helps us to identify how neuronal functions may be altered in the brain.
    [Show full text]
  • BT-CSC Dznep Treated Up-Regulated Genes Gene Symbol Gene Name M
    BT-CSC DZNep treated up-regulated genes Gene Symbol Gene Name M Value KRTAP19-1 keratin associated protein 19-1 5.091638802 VPS53 vacuolar protein sorting 53 homolog (S. cerevisiae) 4.920143235 HEATR2 HEAT repeat containing 2 4.545255947 BRAF v-raf murine sarcoma viral oncogene homolog B1 4.404531741 PCDH7 protocadherin 7 4.378536321 PRKACB protein kinase, cAMP-dependent, catalytic, beta 4.337185544 C6orf166 chromosome 6 open reading frame 166 4.244909909 HIST1H3H histone cluster 1, H3h 4.085723721 CRAMP1L Crm, cramped-like (Drosophila) 3.811674874 RPS15 ribosomal protein S15 3.776296646 EPPK1 epiplakin 1 3.724368921 LAMA4 laminin, alpha 4 3.634864123 SEMA3C sema domain, immunoglobulin domain (Ig), short basic domain, secreted, (semaphorin) 3C 3.504490549 MALAT1 metastasis associated lung adenocarcinoma transcript 1 (non-protein coding) 3.3915307 EPC1 enhancer of polycomb homolog 1 (Drosophila) 3.37404925 ANKRD13C ankyrin repeat domain 13C 3.367543301 HIST2H2BE histone cluster 2, H2be 3.331087945 LOC158301 hypothetical protein LOC158301 3.328891352 LOC56755 hypothetical protein LOC56755 3.233203867 HEXIM1 hexamethylene bis-acetamide inducible 1 3.231227044 SYT11 synaptotagmin XI 3.217641148 KRTAP7-1 keratin associated protein 7-1 3.202664068 TEX14 testis expressed 14 3.19144479 TUG1 taurine upregulated gene 1 3.15045817 KLHL28 kelch-like 28 (Drosophila) 3.074070618 KRTAP19-3 keratin associated protein 19-3 3.056583425 DOCK1 dedicator of cytokinesis 1 3.053526521 NHEDC1 Na+/H+ exchanger domain containing 1 3.013610505 SFN stratifin 3.000939496
    [Show full text]