Structural and Functional Insights Into Human Nuclear Cyclophilins
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32-2709: PPIL1 Recombinant Protein Description Product Info Application
9853 Pacific Heights Blvd. Suite D. San Diego, CA 92121, USA Tel: 858-263-4982 Email: [email protected] 32-2709: PPIL1 Recombinant Protein Alternative Name : Peptidyl-Prolyl Cis-Trans Isomerase-Like 1,PPIL-1,CYPL1,hCyPX,MGC678,PPIase,CGI-124,PPIL1. Description Source : Escherichia Coli. PPIL1 Human Recombinant protein produced in E.Coli is a single, non-glycosylated, polypeptide chain containing 174 amino acids (1-166) and having a molecular mass of 19.3 kDa. PPIL1 is fused to 8 amino acid His Tag at C-terminus and is purified by proprietary chromatographic techniques. PPIL1 belongs to the cyclophilin family of peptidylprolyl isomerases (PPIases). The cyclophilins are a well conserved, ubiquitous family, members of which take an significant part in protein folding, immunosuppression by cyclosporin A, and infection of HIV-1 virions. PPIL1 protein increases the folding of proteins and catalyze the cis-trans isomerization of proline imidic peptide bonds in oligopeptides. PPIL1 is involved in proliferation of cancer cells through modulation of phosphorylation of stathmin. PPIL1 is a novel molecular target for colon- cancer therapy. Product Info Amount : 50 µg Purification : Greater than 95.0% as determined by SDS-PAGE. Content : PPIL1 solution containing 20 mM Tris-HCl buffer (pH 8.0) and 20% glycerol PPIL1 Human Recombinant although stable at 4°C for 1 week, should be stored desiccated below Storage condition : -18°C. Please prevent freeze thaw cycles. Amino Acid : MAAIPPDSWQ PPNVYLETSM GIIVLELYWK HAPKTCKNFA ELARRGYYNG TKFHRIIKDF MIQGGDPTGT GRGGASIYGK QFEDELHPDL KFTGAGILAM ANAGPDTNGS QFFVTLAPTQ WLDGKHTIFG RVCQGIGMVN RVGMVETNSQ DRPVDDVKII KAYPSGLEHH HHHH. Application Note Specific activity is > 300 nmoles/min/mg, and is defined as the amount of enzyme that cleaves 1umole of suc-AAFP-pNA per minute at 25C in Tris-Hcl pH8.0 using chymotrypsin. -
Premature Termination Codons in PRPF31 Cause Retinitis Pigmentosa Via Haploinsufficiency Due to Nonsense-Mediated Mrna Decay
Premature termination codons in PRPF31 cause retinitis pigmentosa via haploinsufficiency due to nonsense-mediated mRNA decay Thomas Rio Frio, … , Jacques S. Beckmann, Carlo Rivolta J Clin Invest. 2008;118(4):1519-1531. https://doi.org/10.1172/JCI34211. Research Article Genetics Dominant mutations in the gene encoding the mRNA splicing factor PRPF31 cause retinitis pigmentosa, a hereditary form of retinal degeneration. Most of these mutations are characterized by DNA changes that lead to premature termination codons. We investigated 6 different PRPF31 mutations, represented by single-base substitutions or microdeletions, in cell lines derived from 9 patients with dominant retinitis pigmentosa. Five of these mutations lead to premature termination codons, and 1 leads to the skipping of exon 2. Allele-specific measurement of PRPF31 transcripts revealed a strong reduction in the expression of mutant alleles. As a consequence, total PRPF31 protein abundance was decreased, and no truncated proteins were detected. Subnuclear localization of the full-length PRPF31 that was present remained unaffected. Blocking nonsense-mediated mRNA decay significantly restored the amount of mutant PRPF31 mRNA but did not restore the synthesis of mutant proteins, even in conjunction with inhibitors of protein degradation pathways. Our results indicate that most PRPF31 mutations ultimately result in null alleles through the activation of surveillance mechanisms that inactivate mutant mRNA and, possibly, proteins. Furthermore, these data provide compelling evidence that the pathogenic effect of PRPF31 mutations is likely due to haploinsufficiency rather than to gain of function. Find the latest version: https://jci.me/34211/pdf Research article Premature termination codons in PRPF31 cause retinitis pigmentosa via haploinsufficiency due to nonsense-mediated mRNA decay Thomas Rio Frio,1 Nicholas M. -
Identification of the Binding Partners for Hspb2 and Cryab Reveals
Brigham Young University BYU ScholarsArchive Theses and Dissertations 2013-12-12 Identification of the Binding arP tners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non- Redundant Roles for Small Heat Shock Proteins Kelsey Murphey Langston Brigham Young University - Provo Follow this and additional works at: https://scholarsarchive.byu.edu/etd Part of the Microbiology Commons BYU ScholarsArchive Citation Langston, Kelsey Murphey, "Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non-Redundant Roles for Small Heat Shock Proteins" (2013). Theses and Dissertations. 3822. https://scholarsarchive.byu.edu/etd/3822 This Thesis is brought to you for free and open access by BYU ScholarsArchive. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of BYU ScholarsArchive. For more information, please contact [email protected], [email protected]. Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non-Redundant Roles for Small Heat Shock Proteins Kelsey Langston A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Science Julianne H. Grose, Chair William R. McCleary Brian Poole Department of Microbiology and Molecular Biology Brigham Young University December 2013 Copyright © 2013 Kelsey Langston All Rights Reserved ABSTRACT Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactors and Non-Redundant Roles for Small Heat Shock Proteins Kelsey Langston Department of Microbiology and Molecular Biology, BYU Master of Science Small Heat Shock Proteins (sHSP) are molecular chaperones that play protective roles in cell survival and have been shown to possess chaperone activity. -
Alternative Cleavage and Polyadenylation During Colorectal Cancer Development
Author Manuscript Published OnlineFirst on August 8, 2012; DOI: 10.1158/1078-0432.CCR-12-0543 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Alternative cleavage and polyadenylation during colorectal cancer development Adam R. Morris1#, Arnold Bos1#, Begoña Diosdado2, Koos Rooijers1, Ran Elkon1, Anne S. Bolijn2, Beatriz Carvalho2, Gerrit A. Meijer2, and Reuven Agami1,3$ 1. Division of Gene Regulation, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands 2. Department of Pathology VU medical centre, De Boelelaan 1117, 1081HV Amsterdam, The Netherlands 3. The Centre for Biomedical Genetics, The Netherlands Running Title: Alternative polyadenylation in colorectal cancer Keywords: Alternative cleavage and polyadenylation, colorectal cancer, next generation sequencing, Adenoma, carcinoma Conflicts of interest: none Word count: 4055 Tables: 2; Figures: 3 # These authors contributed equally to this work $Email: [email protected] Tel. +31(0)20 512 2079 Fax. +31(0)20 512 1999 Downloaded from clincancerres.aacrjournals.org on September 28, 2021. © 2012 American Association for Cancer Research. Author Manuscript Published OnlineFirst on August 8, 2012; DOI: 10.1158/1078-0432.CCR-12-0543 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. ABSTRACT Purpose: Alternative cleavage and polyadenylation (APA) of mRNAs is a phenomenon that alters 3'-untranslated region length leading to altered posttranscriptional regulation of gene expression. Changing APA patterns have been shown to result in mis-regulation of genes involved in carcinogenesis, therefore we hypothesized that altered APA contributes to progression of colorectal cancer, and that measurement of APA may lead to discovery of novel biomarkers. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Genome-Wide Association Study of Copy Number Variations (Cnvs) with Opioid Dependence
Neuropsychopharmacology (2015) 40, 1016–1026 & 2015 American College of Neuropsychopharmacology. All rights reserved 0893-133X/15 www.neuropsychopharmacology.org Genome-Wide Association Study of Copy Number Variations (CNVs) with Opioid Dependence Dawei Li*,1,2,3,4, Hongyu Zhao5,6, Henry R Kranzler7, Ming D Li8, Kevin P Jensen1, Tetyana Zayats1, Lindsay A Farrer9 and Joel Gelernter1,6,10 1 2 Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, USA; Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, VT, USA; 3Department of Computer Science, University of Vermont, Burlington, VT, USA; 4Neuroscience, Behavior, and Health Initiative, University of Vermont, Burlington, VT, USA; 5Department of Biostatistics, Yale School of Public Health, New Haven, 6 7 CT, USA; Department of Genetics, School of Medicine, Yale University, New Haven, CT, USA; Department of Psychiatry, University of 8 Pennsylvania School of Medicine and VISN 4 MIRECC, Philadelphia VAMC, Philadelphia, PA, USA; Department of Psychiatry and 9 Neurobehavioral Sciences, University of Virginia, Charlottesville, VA, USA; Departments of Medicine (Biomedical Genetics), Neurology, Ophthalmology, Genetics and Genomics, Biostatistics, and Epidemiology, Boston University Schools of Medicine and Public Health, Boston, MA, USA; 10VA Connecticut Healthcare Center, Department of Neurobiology, Yale University School of Medicine, New Haven, CT, USA Single-nucleotide polymorphisms that have been associated with opioid dependence (OD) altogether account for only a small proportion of the known heritability. Most of the genetic risk factors are unknown. Some of the ‘missing heritability’ might be explained by copy number variations (CNVs) in the human genome. We used Illumina HumanOmni1 arrays to genotype 5152 African-American and European-American OD cases and screened controls and implemented combined CNV calling methods. -
Molecular Basis for the Distinct Cellular Functions of the Lsm1-7 and Lsm2-8 Complexes
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.22.055376; this version posted April 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Molecular basis for the distinct cellular functions of the Lsm1-7 and Lsm2-8 complexes Eric J. Montemayor1,2, Johanna M. Virta1, Samuel M. Hayes1, Yuichiro Nomura1, David A. Brow2, Samuel E. Butcher1 1Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA. 2Department of Biomolecular Chemistry, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA. Correspondence should be addressed to E.J.M. ([email protected]) and S.E.B. ([email protected]). Abstract Eukaryotes possess eight highly conserved Lsm (like Sm) proteins that assemble into circular, heteroheptameric complexes, bind RNA, and direct a diverse range of biological processes. Among the many essential functions of Lsm proteins, the cytoplasmic Lsm1-7 complex initiates mRNA decay, while the nuclear Lsm2-8 complex acts as a chaperone for U6 spliceosomal RNA. It has been unclear how these complexes perform their distinct functions while differing by only one out of seven subunits. Here, we elucidate the molecular basis for Lsm-RNA recognition and present four high-resolution structures of Lsm complexes bound to RNAs. The structures of Lsm2-8 bound to RNA identify the unique 2′,3′ cyclic phosphate end of U6 as a prime determinant of specificity. In contrast, the Lsm1-7 complex strongly discriminates against cyclic phosphates and tightly binds to oligouridylate tracts with terminal purines. -
Posters A.Pdf
INVESTIGATING THE COUPLING MECHANISM IN THE E. COLI MULTIDRUG TRANSPORTER, MdfA, BY FLUORESCENCE SPECTROSCOPY N. Fluman, D. Cohen-Karni, E. Bibi Department of Biological Chemistry, Weizmann Institute of Science, Rehovot, Israel In bacteria, multidrug transporters couple the energetically favored import of protons to export of chemically-dissimilar drugs (substrates) from the cell. By this function, they render bacteria resistant against multiple drugs. In this work, fluorescence spectroscopy of purified protein is used to unravel the mechanism of coupling between protons and substrates in MdfA, an E. coli multidrug transporter. Intrinsic fluorescence of MdfA revealed that binding of an MdfA substrate, tetraphenylphosphonium (TPP), induced a conformational change in this transporter. The measured affinity of MdfA-TPP was increased in basic pH, raising a possibility that TPP might bind tighter to the deprotonated state of MdfA. Similar increases in affinity of TPP also occurred (1) in the presence of the substrate chloramphenicol, or (2) when MdfA is covalently labeled by the fluorophore monobromobimane at a putative chloramphenicol interacting site. We favor a mechanism by which basic pH, chloramphenicol binding, or labeling with monobromobimane, all induce a conformational change in MdfA, which results in deprotonation of the transporter and increase in the affinity of TPP. PHENOTYPE CHARACTERIZATION OF AZOSPIRILLUM BRASILENSE Sp7 ABC TRANSPORTER (wzm) MUTANT A. Lerner1,2, S. Burdman1, Y. Okon1,2 1Department of Plant Pathology and Microbiology, Faculty of Agricultural, Food and Environmental Quality Sciences, Hebrew University of Jerusalem, Rehovot, Israel, 2The Otto Warburg Center for Agricultural Biotechnology, Faculty of Agricultural, Food and Environmental Quality Sciences, Hebrew University of Jerusalem, Rehovot, Israel Azospirillum, a free-living nitrogen fixer, belongs to the plant growth promoting rhizobacteria (PGPR), living in close association with plant roots. -
Figure S1. DMD Module Network. the Network Is Formed by 260 Genes from Disgenet and 1101 Interactions from STRING. Red Nodes Are the Five Seed Candidate Genes
Figure S1. DMD module network. The network is formed by 260 genes from DisGeNET and 1101 interactions from STRING. Red nodes are the five seed candidate genes. Figure S2. DMD module network is more connected than a random module of the same size. It is shown the distribution of the largest connected component of 10.000 random modules of the same size of the DMD module network. The green line (x=260) represents the DMD largest connected component, obtaining a z-score=8.9. Figure S3. Shared genes between BMD and DMD signature. A) A meta-analysis of three microarray datasets (GSE3307, GSE13608 and GSE109178) was performed for the identification of differentially expressed genes (DEGs) in BMD muscle biopsies as compared to normal muscle biopsies. Briefly, the GSE13608 dataset included 6 samples of skeletal muscle biopsy from healthy people and 5 samples from BMD patients. Biopsies were taken from either biceps brachii, triceps brachii or deltoid. The GSE3307 dataset included 17 samples of skeletal muscle biopsy from healthy people and 10 samples from BMD patients. The GSE109178 dataset included 14 samples of controls and 11 samples from BMD patients. For both GSE3307 and GSE10917 datasets, biopsies were taken at the time of diagnosis and from the vastus lateralis. For the meta-analysis of GSE13608, GSE3307 and GSE109178, a random effects model of effect size measure was used to integrate gene expression patterns from the two datasets. Genes with an adjusted p value (FDR) < 0.05 and an │effect size│>2 were identified as DEGs and selected for further analysis. A significant number of DEGs (p<0.001) were in common with the DMD signature genes (blue nodes), as determined by a hypergeometric test assessing the significance of the overlap between the BMD DEGs and the number of DMD signature genes B) MCODE analysis of the overlapping genes between BMD DEGs and DMD signature genes. -
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. -
Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia. -
Molecular Signatures in IASLC/ATS/ERS Classified Growth Patterns of Lung Adenocarcinoma
RESEARCH ARTICLE Molecular signatures in IASLC/ATS/ERS classified growth patterns of lung adenocarcinoma 1 1 1,2 1¤a Heike ZabeckID *, Hendrik Dienemann , Hans Hoffmann , Joachim Pfannschmidt , Arne Warth2,3, Philipp A. Schnabel3¤b, Thomas Muley2,4, Michael Meister2,4, Holger SuÈ ltmann2,5, Holger FroÈ hlich6, Ruprecht Kuner2,5¤c, Felix Lasitschka3 1 Department of Thoracic Surgery, Thoraxklinik, University Hospital Heidelberg, Heidelberg, Germany, 2 Translational Lung Research Centre Heidelberg (TLRC-H), German Centre for Lung Research (DZL), a1111111111 Heidelberg, Germany, 3 Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany, a1111111111 4 Translational Research Unit (STF), Thoraxklinik, University of Heidelberg, Heidelberg, Germany, 5 Cancer a1111111111 Genome Research (B063), German Cancer Research Center (DKFZ) and German Cancer Consortium a1111111111 (DKTK), Heidelberg, Germany, 6 Institute for Computer Science, c/o Bonn-Aachen International Center for a1111111111 IT, Algorithmic Bioinformatics, University of Bonn, Bonn, Germany ¤a Current address: Department of Thoracic Surgery, Lung Clinic Heckeshorn at HELIOS Hospital Emil von Behring, Berlin, Germany ¤b Current address: Institute of Pathology, Saarland University, Homburg/Saar, Germany ¤c Current address: TRONÐTranslational Oncology at the University Medical Center of Johannes OPEN ACCESS Gutenberg University, Mainz, Germany * [email protected] Citation: Zabeck H, Dienemann H, Hoffmann H, Pfannschmidt J, Warth A, Schnabel PA, et al. (2018) Molecular signatures in IASLC/ATS/ERS classified growth patterns of lung adenocarcinoma. Abstract PLoS ONE 13(10): e0206132. https://doi.org/ 10.1371/journal.pone.0206132 Editor: Stefania Crispi, Institute for Bioscience and Background Biotechnology Research, ITALY The current classification of human lung adenocarcinoma defines five different histological Received: April 4, 2018 growth patterns within the group of conventional invasive adenocarcinomas.