Conserved and Novel Properties of Clathrin-Mediated Endocytosis in Dictyostelium Discoideum" (2012)
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Transcriptome Response of High- and Low-Light-Adapted Prochlorococcus Strains to Changing Iron Availability
Transcriptome response of high- and low-light-adapted Prochlorococcus strains to changing iron availability The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Thompson, Anne W et al. “Transcriptome Response of High- and Low-light-adapted Prochlorococcus Strains to Changing Iron Availability.” ISME Journal (2011), 1-15. As Published http://dx.doi.org/10.1038/ismej.2011.49 Publisher Nature Publishing Group Version Author's final manuscript Citable link http://hdl.handle.net/1721.1/64705 Terms of Use Creative Commons Attribution-Noncommercial-Share Alike 3.0 Detailed Terms http://creativecommons.org/licenses/by-nc-sa/3.0/ Title: Transcriptome response of high- and low-light adapted Prochlorococcus strains to changing iron availability Running title: Prochlorococcus response to iron stress 5 Contributors: Anne W. Thompson1, Katherine Huang1, Mak A. Saito* 2, Sallie W. Chisholm* 1, 3 10 1 MIT Department of Civil and Environmental Engineering 2 Woods Hole Oceanographic Institution – Department of Marine Chemistry and Geochemistry 3 MIT Department of Biology 15 * To whom correspondence should be addressed: E-mail: [email protected] and [email protected] Subject Category: Microbial population and community ecology 20 Abstract Prochlorococcus contributes significantly to ocean primary productivity. The link between primary productivity and iron in specific ocean regions is well established and iron-limitation of Prochlorococcus cell division rates in these regions has been 25 demonstrated. However, the extent of ecotypic variation in iron metabolism among Prochlorococcus and the molecular basis for differences is not understood. Here, we examine the growth and transcriptional response of Prochlorococcus strains, MED4 and MIT9313, to changing iron concentrations. -
Dynamin Functions and Ligands: Classical Mechanisms Behind
1521-0111/91/2/123–134$25.00 http://dx.doi.org/10.1124/mol.116.105064 MOLECULAR PHARMACOLOGY Mol Pharmacol 91:123–134, February 2017 Copyright ª 2017 by The American Society for Pharmacology and Experimental Therapeutics MINIREVIEW Dynamin Functions and Ligands: Classical Mechanisms Behind Mahaveer Singh, Hemant R. Jadhav, and Tanya Bhatt Department of Pharmacy, Birla Institute of Technology and Sciences Pilani, Pilani Campus, Rajasthan, India Received May 5, 2016; accepted November 17, 2016 Downloaded from ABSTRACT Dynamin is a GTPase that plays a vital role in clathrin-dependent pathophysiology of various disorders, such as Alzheimer’s disease, endocytosis and other vesicular trafficking processes by acting Parkinson’s disease, Huntington’s disease, Charcot-Marie-Tooth as a pair of molecular scissors for newly formed vesicles originating disease, heart failure, schizophrenia, epilepsy, cancer, dominant ’ from the plasma membrane. Dynamins and related proteins are optic atrophy, osteoporosis, and Down s syndrome. This review is molpharm.aspetjournals.org important components for the cleavage of clathrin-coated vesicles, an attempt to illustrate the dynamin-related mechanisms involved phagosomes, and mitochondria. These proteins help in organelle in the above-mentioned disorders and to help medicinal chemists division, viral resistance, and mitochondrial fusion/fission. Dys- to design novel dynamin ligands, which could be useful in the function and mutations in dynamin have been implicated in the treatment of dynamin-related disorders. Introduction GTP hydrolysis–dependent conformational change of GTPase dynamin assists in membrane fission, leading to the generation Dynamins were originally discovered in the brain and identi- of endocytic vesicles (Praefcke and McMahon, 2004; Ferguson at ASPET Journals on September 23, 2021 fied as microtubule binding partners. -
The Rise and Fall of the Bovine Corpus Luteum
University of Nebraska Medical Center DigitalCommons@UNMC Theses & Dissertations Graduate Studies Spring 5-6-2017 The Rise and Fall of the Bovine Corpus Luteum Heather Talbott University of Nebraska Medical Center Follow this and additional works at: https://digitalcommons.unmc.edu/etd Part of the Biochemistry Commons, Molecular Biology Commons, and the Obstetrics and Gynecology Commons Recommended Citation Talbott, Heather, "The Rise and Fall of the Bovine Corpus Luteum" (2017). Theses & Dissertations. 207. https://digitalcommons.unmc.edu/etd/207 This Dissertation is brought to you for free and open access by the Graduate Studies at DigitalCommons@UNMC. It has been accepted for inclusion in Theses & Dissertations by an authorized administrator of DigitalCommons@UNMC. For more information, please contact [email protected]. THE RISE AND FALL OF THE BOVINE CORPUS LUTEUM by Heather Talbott A DISSERTATION Presented to the Faculty of the University of Nebraska Graduate College in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Biochemistry and Molecular Biology Graduate Program Under the Supervision of Professor John S. Davis University of Nebraska Medical Center Omaha, Nebraska May, 2017 Supervisory Committee: Carol A. Casey, Ph.D. Andrea S. Cupp, Ph.D. Parmender P. Mehta, Ph.D. Justin L. Mott, Ph.D. i ACKNOWLEDGEMENTS This dissertation was supported by the Agriculture and Food Research Initiative from the USDA National Institute of Food and Agriculture (NIFA) Pre-doctoral award; University of Nebraska Medical Center Graduate Student Assistantship; University of Nebraska Medical Center Exceptional Incoming Graduate Student Award; the VA Nebraska-Western Iowa Health Care System Department of Veterans Affairs; and The Olson Center for Women’s Health, Department of Obstetrics and Gynecology, Nebraska Medical Center. -
A Large-Scale Conformational Change Couples Membrane Recruitment to Cargo Binding in the AP2 Clathrin Adaptor Complex
A Large-Scale Conformational Change Couples Membrane Recruitment to Cargo Binding in the AP2 Clathrin Adaptor Complex Lauren P. Jackson,1,5 Bernard T. Kelly,1,5 Airlie J. McCoy,1 Thomas Gaffry,2 Leo C. James,3 Brett M. Collins,4 Stefan Ho¨ ning,2 Philip R. Evans,3,* and David J. Owen1,* 1Cambridge Institute for Medical Research, Department of Clinical Biochemistry, University of Cambridge, Hills Road, Cambridge CB2 0XY, UK 2Institute of Biochemistry I and Center for Molecular Medicine Cologne, University of Cologne, Joseph-Stelzmann-Str. 52 50931 Cologne, Germany 3Medical Research Council Laboratory of Molecular Biology, Hills Road, Cambridge CB2 0QH, UK 4Institute for Molecular Bioscience, The University of Queensland, Brisbane QLD 4072, Australia 5These authors contributed equally to this work *Correspondence: [email protected] (P.R.E.), [email protected] (D.J.O.) DOI 10.1016/j.cell.2010.05.006 SUMMARY by clathrin adaptors to an outer polymeric clathrin scaffold (Cheng et al., 2007; Fotin et al., 2004). Clathrin adaptors contain The AP2 adaptor complex (a, b2, s2, and m2 sub- a folded membrane-proximal domain, which binds to phospha- units) crosslinks the endocytic clathrin scaffold to tidyl inositol polyphosphate (PIP) headgroups and/or Arf PtdIns4,5P2-containing membranes and transmem- GTPases in their membrane-attached, GTP-bound forms, and brane protein cargo. In the ‘‘locked’’ cytosolic form, at least one natively unstructured region, which harbors a cla- AP2’s binding sites for the two endocytic motifs, thrin-binding motif (Owen et al., 2004). Transmembrane proteins YxxF on the C-terminal domain of m2 (C-m2) and are generally selected as cargo for incorporation into a CCV through the direct interaction of either widely used, short, linear [ED]xxxL[LI] on s2, are blocked by parts of b2. -
Targeted Genes and Methodology Details for Neuromuscular Genetic Panels
Targeted Genes and Methodology Details for Neuromuscular Genetic Panels Reference transcripts based on build GRCh37 (hg19) interrogated by Neuromuscular Genetic Panels Next-generation sequencing (NGS) and/or Sanger sequencing is performed Motor Neuron Disease Panel to test for the presence of a mutation in these genes. Gene GenBank Accession Number Regions of homology, high GC-rich content, and repetitive sequences may ALS2 NM_020919 not provide accurate sequence. Therefore, all reported alterations detected ANG NM_001145 by NGS are confirmed by an independent reference method based on laboratory developed criteria. However, this does not rule out the possibility CHMP2B NM_014043 of a false-negative result in these regions. ERBB4 NM_005235 Sanger sequencing is used to confirm alterations detected by NGS when FIG4 NM_014845 appropriate.(Unpublished Mayo method) FUS NM_004960 HNRNPA1 NM_031157 OPTN NM_021980 PFN1 NM_005022 SETX NM_015046 SIGMAR1 NM_005866 SOD1 NM_000454 SQSTM1 NM_003900 TARDBP NM_007375 UBQLN2 NM_013444 VAPB NM_004738 VCP NM_007126 ©2018 Mayo Foundation for Medical Education and Research Page 1 of 14 MC4091-83rev1018 Muscular Dystrophy Panel Muscular Dystrophy Panel Gene GenBank Accession Number Gene GenBank Accession Number ACTA1 NM_001100 LMNA NM_170707 ANO5 NM_213599 LPIN1 NM_145693 B3GALNT2 NM_152490 MATR3 NM_199189 B4GAT1 NM_006876 MYH2 NM_017534 BAG3 NM_004281 MYH7 NM_000257 BIN1 NM_139343 MYOT NM_006790 BVES NM_007073 NEB NM_004543 CAPN3 NM_000070 PLEC NM_000445 CAV3 NM_033337 POMGNT1 NM_017739 CAVIN1 NM_012232 POMGNT2 -
Sézary Syndrome Is a Unique Cutaneous T-Cell Lymphoma As
Leukemia (2008) 22, 393–399 & 2008 Nature Publishing Group All rights reserved 0887-6924/08 $30.00 www.nature.com/leu ORIGINAL ARTICLE Se´zary syndrome is a unique cutaneous T-cell lymphoma as identified by an expanded gene signature including diagnostic marker molecules CDO1 and DNM3 N Booken1,11, A Gratchev1,11, J Utikal1, C Wei2,XYu3, M Qadoumi1, M Schmuth4, N Sepp4, D Nashan5, K Rass6,TTu¨ting7, C Assaf8, E Dippel1,9, R Stadler10, C-D Klemke1 and S Goerdt1 1Department of Dermatology, Venereology and Allergology, University Medical Centre Mannheim, Ruprecht Karl University of Heidelberg, Mannheim, Germany; 2Institute of Medical Statistics, University Medical Centre Mannheim, Ruprecht Karl University of Heidelberg, Mannheim, Germany; 3Medical Research Center (ZMF), University Medical Centre Mannheim, Ruprecht Karl University of Heidelberg, Mannheim, Germany; 4Department of Dermatology, Innsbruck Medical University, Innsbruck, Austria; 5Department of Dermatology, University of Freiburg, Freiburg, Germany; 6Department of Dermatology, The Saarland University Hospital, Homburg/Saar, Germany; 7Department of Dermatology, University of Bonn, Bonn, Germany; 8Department of Dermatology, Charite-University Medicine Berlin, Berlin, Germany; 9Department of Dermatology, Academic Medical Centre, Lemgo, Germany and 10Department of Dermatology, Academic Medical Centre, Minden, Germany Sezary syndrome (SS) is a rare, aggressive CD4 þ cutaneous While MF usually is a slowly progressive disease, SS runs a more T-cell lymphoma (CTCL); molecular traits differentiating SS aggressive course with a high mortality rate and a median survival from nonleukemic mycosis fungoides (MF) and from inflamma- time of 2–4 years. The probability of survival in CTCL can be tory skin diseases (ID) are not sufficiently characterized. -
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. -
Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
A Minimum-Labeling Approach for Reconstructing Protein Networks Across Multiple Conditions
A Minimum-Labeling Approach for Reconstructing Protein Networks across Multiple Conditions Arnon Mazza1, Irit Gat-Viks2, Hesso Farhan3, and Roded Sharan1 1 Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel. Email: [email protected]. 2 Dept. of Cell Research and Immunology, Tel Aviv University, Tel Aviv 69978, Israel. 3 Biotechnology Institute Thurgau, University of Konstanz, Unterseestrasse 47, CH-8280 Kreuzlingen, Switzerland. Abstract. The sheer amounts of biological data that are generated in recent years have driven the development of network analysis tools to fa- cilitate the interpretation and representation of these data. A fundamen- tal challenge in this domain is the reconstruction of a protein-protein sub- network that underlies a process of interest from a genome-wide screen of associated genes. Despite intense work in this area, current algorith- mic approaches are largely limited to analyzing a single screen and are, thus, unable to account for information on condition-specific genes, or reveal the dynamics (over time or condition) of the process in question. Here we propose a novel formulation for network reconstruction from multiple-condition data and devise an efficient integer program solution for it. We apply our algorithm to analyze the response to influenza in- fection in humans over time as well as to analyze a pair of ER export related screens in humans. By comparing to an extant, single-condition tool we demonstrate the power of our new approach in integrating data from multiple conditions in a compact and coherent manner, capturing the dynamics of the underlying processes. 1 Introduction With the increasing availability of high-throughput data, network biol- arXiv:1307.7803v1 [q-bio.QM] 30 Jul 2013 ogy has become the method of choice for filtering, interpreting and rep- resenting these data. -
The Endocytic Membrane Trafficking Pathway Plays a Major Role
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by University of Liverpool Repository RESEARCH ARTICLE The Endocytic Membrane Trafficking Pathway Plays a Major Role in the Risk of Parkinson’s Disease Sara Bandres-Ciga, PhD,1,2 Sara Saez-Atienzar, PhD,3 Luis Bonet-Ponce, PhD,4 Kimberley Billingsley, MSc,1,5,6 Dan Vitale, MSc,7 Cornelis Blauwendraat, PhD,1 Jesse Raphael Gibbs, PhD,7 Lasse Pihlstrøm, MD, PhD,8 Ziv Gan-Or, MD, PhD,9,10 The International Parkinson’s Disease Genomics Consortium (IPDGC), Mark R. Cookson, PhD,4 Mike A. Nalls, PhD,1,11 and Andrew B. Singleton, PhD1* 1Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 2Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain 3Transgenics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 4Cell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 5Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom 6Department of Pathophysiology, University of Tartu, Tartu, Estonia 7Computational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 8Department of Neurology, Oslo University Hospital, Oslo, Norway 9Department of Neurology and Neurosurgery, Department of Human Genetics, McGill University, Montréal, Quebec, Canada 10Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, Quebec, Canada 11Data Tecnica International, Glen Echo, Maryland, USA ABSTRACT studies, summary-data based Mendelian randomization Background: PD is a complex polygenic disorder. -
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. -
Genome-Wide Rnai Screens Identify Genes Required for Ricin and PE Intoxications
Developmental Cell Article Genome-Wide RNAi Screens Identify Genes Required for Ricin and PE Intoxications Dimitri Moreau,1 Pankaj Kumar,1 Shyi Chyi Wang,1 Alexandre Chaumet,1 Shin Yi Chew,1 He´ le` ne Chevalley,1 and Fre´ de´ ric Bard1,* 1Institute of Molecular and Cell Biology, 61 Biopolis Drive, Proteos, Singapore 138673, Singapore *Correspondence: [email protected] DOI 10.1016/j.devcel.2011.06.014 SUMMARY In the lumen of the ER, these toxins are thought to interact with elements of the ER-associated degradation (ERAD) pathway, Protein toxins such as Ricin and Pseudomonas which targets misfolded proteins in the ER for degradation. exotoxin (PE) pose major public health challenges. This interaction is proposed to allow translocation to the cytosol Both toxins depend on host cell machinery for inter- without resulting in toxin degradation (Johannes and Ro¨ mer, nalization, retrograde trafficking from endosomes 2010). to the ER, and translocation to cytosol. Although Obviously, this complex set of membrane-trafficking and both toxins follow a similar intracellular route, it is membrane-translocation events involves many host proteins, some of which have already been described (Johannes and unknown how much they rely on the same genes. Ro¨ mer, 2010; Sandvig et al., 2010). Altering the function of these Here we conducted two genome-wide RNAi screens host proteins could in theory provide a toxin antidote. identifying genes required for intoxication and Consistently, inhibition of retrograde traffic by drugs such as demonstrating that requirements are strikingly Brefeldin A (Sandvig et al., 1991)(Yoshida et al., 1991) or Golgi- different between PE and Ricin, with only 13% over- cide A (Sa´ enz et al., 2009) and Retro-1 and 2 (Stechmann et al., lap.