Modifier Genes for Mouse Phosphatidylinositol Transfer Protein
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Anti-VAC14 (Aa 711-760) Polyclonal Antibody (CABT-BL5957) This Product Is for Research Use Only and Is Not Intended for Diagnostic Use
Anti-VAC14 (aa 711-760) polyclonal antibody (CABT-BL5957) This product is for research use only and is not intended for diagnostic use. PRODUCT INFORMATION Product Overview Rabbit polyclonal antibody to Human VAC14. Antigen Description The content of phosphatidylinositol 3, 5-bisphosphate (PtdInsP2) in endosomal membranes changes dynamically with fission and fusion events that generate or absorb intracellular transport vesicles. VAC14 is a component of a trimolecular complex that tightly regulates the level of PtdInsP2. Other components of this complex are the PtdInsP2-synthesizing enzyme PIKFYVE (MIM 609414) and the PtdInsP2 phosphatase FIG4 (MIM 609390). VAC14 functions as an activator of PIKFYVE (Sbrissa et al., 2007 Immunogen Synthetic peptide, corresponding to a region within C terminal amino acids 711-760 (QLLSHRLQCV PNPELLQTED SLKAAPKSQK ADSPSIDYAE LLQHFEKVQN) of Human VAC14. Isotype IgG Source/Host Rabbit Species Reactivity Human Purification Immunogen affinity purified Conjugate Unconjugated Sequence Similarities Belongs to the VAC14 family.Contains 6 HEAT repeats. Cellular Localization Endosome membrane. Microsome membrane. Mainly associated with membranes of the late endocytic pathway. Format Liquid Size 50 μg Buffer 97% PBS, 2% Sucrose Preservative None Storage Shipped at 4°C. Upon delivery aliquot and store at -20°C. Avoid repeated freeze/thaw cycles. 45-1 Ramsey Road, Shirley, NY 11967, USA Email: [email protected] Tel: 1-631-624-4882 Fax: 1-631-938-8221 1 © Creative Diagnostics All Rights Reserved BACKGROUND Introduction The content of phosphatidylinositol 3,5-bisphosphate (PtdIns(3,5)P2) in endosomal membranes changes dynamically with fission and fusion events that generate or absorb intracellular transport vesicles. VAC14 is a component of a trimolecular complex that tightly regulates the level of PtdIns(3,5)P2. -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
TMEM106B in Humans and Vac7 and Tag1 in Yeast Are Predicted to Be Lipid Transfer Proteins
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.12.435176; this version posted March 12, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. TMEM106B in humans and Vac7 and Tag1 in yeast are predicted to be lipid transfer proteins Tim P. Levine* UCL Institute of Ophthalmology, 11-43 Bath Street, London EC1V 9EL, United Kingdom. ORCID 0000-0002-7231-0775 *Corresponding author and lead contact: [email protected] Data availability statement: The data that support this study are freely available in Harvard Dataverse at https://dataverse.harvard.edu/dataverse/LEA_2. Acknowledgements: work was funded by the Higher Education Funding Council for England and the NIHR Moorfields Biomedical Research Centre Conflict of interest disclosure: the author declares that there is no conflict of interest Keywords: Structural bioinformatics, Lipid transfer protein, LEA_2, TMEM106B, Vac7, YLR173W, Endosome, Lysosome Running Title: TMEM106B & Vac7: lipid transfer proteins 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.03.12.435176; this version posted March 12, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract TMEM106B is an integral membrane protein of late endosomes and lysosomes involved in neuronal function, its over-expression being associated with familial frontotemporal lobar degeneration, and under-expression linked to hypomyelination. It has also been identified in multiple screens for host proteins required for productive SARS-CoV2 infection. Because standard approaches to understand TMEM106B at the sequence level find no homology to other proteins, it has remained a protein of unknown function. -
Independent Apoptotic Pathways
An Sp1 transcription factor coordinates caspase- dependent and -independent apoptotic pathways The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Hirose, Takashi, and H. Robert Horvitz. “An Sp1 Transcription Factor Coordinates Caspase-Dependent and -Independent Apoptotic Pathways.” Nature 500, no. 7462 (July 14, 2013): 354–358. As Published http://dx.doi.org/10.1038/nature12329 Publisher Nature Publishing Group Version Author's final manuscript Citable link http://hdl.handle.net/1721.1/85566 Terms of Use Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. Published as: Nature. 2013 August 15; 500(7462): 354–358. HHMI Author Manuscript HHMI Author Manuscript HHMI Author Manuscript An Sp1 transcription factor coordinates caspase-dependent and -independent apoptotic pathways Takashi Hirose and H. Robert Horvitz Howard Hughes Medical Institute, Department of Biology, 68-425, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA Abstract During animal development, the proper regulation of apoptosis requires the precise spatial and temporal execution of cell-death programs, which can include both caspase-dependent and caspase-independent pathways1, 2. While the mechanisms of caspase-dependent and caspase- independent cell killing have been examined extensively, how these pathways are coordinated within a single cell that is fated to die is unknown. Here we show that the C. elegans Sp1 transcription factor SPTF-3 specifies the programmed cell deaths of at least two cells, the sisters of the pharyngeal M4 motor neuron and of the AQR sensory neuron, by transcriptionally activating both caspase-dependent and caspase-independent apoptotic pathways. -
Greg's Awesome Thesis
Analysis of alignment error and sitewise constraint in mammalian comparative genomics Gregory Jordan European Bioinformatics Institute University of Cambridge A dissertation submitted for the degree of Doctor of Philosophy November 30, 2011 To my parents, who kept us thinking and playing This dissertation is the result of my own work and includes nothing which is the out- come of work done in collaboration except where specifically indicated in the text and acknowledgements. This dissertation is not substantially the same as any I have submitted for a degree, diploma or other qualification at any other university, and no part has already been, or is currently being submitted for any degree, diploma or other qualification. This dissertation does not exceed the specified length limit of 60,000 words as defined by the Biology Degree Committee. November 30, 2011 Gregory Jordan ii Analysis of alignment error and sitewise constraint in mammalian comparative genomics Summary Gregory Jordan November 30, 2011 Darwin College Insight into the evolution of protein-coding genes can be gained from the use of phylogenetic codon models. Recently sequenced mammalian genomes and powerful analysis methods developed over the past decade provide the potential to globally measure the impact of natural selection on pro- tein sequences at a fine scale. The detection of positive selection in particular is of great interest, with relevance to the study of host-parasite conflicts, immune system evolution and adaptive dif- ferences between species. This thesis examines the performance of methods for detecting positive selection first with a series of simulation experiments, and then with two empirical studies in mammals and primates. -
Biological Sciences—Genetics Human Genetic Variation in VAC14 Regulates Salmonella Invasion and Typhoid Feve
Classification: Biological Sciences—Genetics Human genetic variation in VAC14 regulates Salmonella invasion and typhoid fever through modulation of cholesterol 5 Monica I. Alvarez1, Luke C. Glover1, Peter Luo1, Liuyang Wang1, Elizabeth Theusch2, Stefan H. Oehlers1,3,4, Eric M. Walton1, Trinh Thi Bich Tram5, Yu-Lin Kuang2, Jerome I. Rotter6, Colleen M. McClean7, Nguyen Tran Chinh8, Marisa W. Medina2, David M. Tobin1,7, Sarah J. Dunstan9, Dennis C. Ko1,10 Affiliations: 10 1Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA. 2Children’s Hospital Oakland Research Institute, Oakland, CA 94609, USA. 3Tuberculosis Research Program, Centenary Institute, Camperdown, NSW 2050, Australia 4Sydney Medical School, The University of Sydney, Newtown, Australia 15 5Oxford University Clinical Research Unit, Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam. 6Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA. 7Department of Immunology, School of Medicine, Duke University, Durham, NC 27710, USA. 20 8Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam. 9Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia. 10Department of Medicine, School of Medicine, Duke University, Durham, NC 27710, USA. *To whom correspondence should be addressed: [email protected]. 25 1 Abstract Risk, severity, and outcome of infection depend on the -
Single Cell Spatial Chromatin Analysis of Fixed Immunocytochemically Identified Neuronal Cells
bioRxiv preprint doi: https://doi.org/10.1101/780387; this version posted September 24, 2019. 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. Title: Single Cell Spatial Chromatin Analysis of Fixed Immunocytochemically Identified Neuronal Cells One Sentence Summary: A new method, CHEX-seq (CHromatin eXposed), identifies the open- chromatin landscape in single fixed cells thereby allowing spatial chromatin analysis of selected cells in complex cellular environments. Authors: Jaehee Lee1,#, Youtao Lu2,#, Jinchun Wang3,#, Jifen Li1, Stephen A. Fisher2, C. Erik Nordgren2, Jean G. Rosario2, Stewart A. Anderson4, Alexandra V. Ulyanova5, Steven Brem5, H. Isaac Chen5, John A. Wolf5, M. Sean Grady5, Mimi Healy3, Junhyong Kim2,& and James Eberwine1,&, % Affiliations: 1 Department of Systems Pharmacology and Translational Therapeutics Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA, 2 Department of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104 USA, 3 Agilent Technologies, Inc., 5301 Stevens Creek Blvd, Santa Clara, CA 95051, USA, 4 Department of Psychiatry, Children’s Hospital of Philadelphia, ARC 517, 3615 Civic Center Blvd, Philadelphia, PA 19104, USA, 5Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. # These authors contributed equally to this manuscript. & These authors contributed equally to this manuscript. % Correspondence should be addressed to: James Eberwine, PhD University of Pennsylvania 37 John Morgan Building Philadelphia, PA 19104 [email protected] bioRxiv preprint doi: https://doi.org/10.1101/780387; this version posted September 24, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
Network Pharmacology Interpretation of Fuzheng–Jiedu Decoction Against Colorectal Cancer
Hindawi Evidence-Based Complementary and Alternative Medicine Volume 2021, Article ID 4652492, 16 pages https://doi.org/10.1155/2021/4652492 Research Article Network Pharmacology Interpretation of Fuzheng–Jiedu Decoction against Colorectal Cancer Hongshuo Shi ,1 Sisheng Tian,2 and Hu Tian 3 1College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China 2School of Management, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China 3College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China Correspondence should be addressed to Hu Tian; [email protected] Received 7 April 2020; Revised 3 January 2021; Accepted 21 January 2021; Published 20 February 2021 Academic Editor: George B. Lenon Copyright © 2021 Hongshuo Shi et al. ,is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Introduction. Traditional Chinese medicine (TCM) believes that the pathogenic factors of colorectal cancer (CRC) are “deficiency, dampness, stasis, and toxin,” and Fuzheng–Jiedu Decoction (FJD) can resist these factors. In this study, we want to find out the potential targets and pathways of FJD in the treatment of CRC and also explain from a scientific point of view that FJD multidrug combination can resist “deficiency, dampness, stasis, and toxin.” Methods. We get the composition of FJD from the TCMSP database and get its potential target. We also get the potential target of colorectal cancer according to the OMIM Database, TTD Database, GeneCards Database, CTD Database, DrugBank Database, and DisGeNET Database. -
Open Data for Differential Network Analysis in Glioma
International Journal of Molecular Sciences Article Open Data for Differential Network Analysis in Glioma , Claire Jean-Quartier * y , Fleur Jeanquartier y and Andreas Holzinger Holzinger Group HCI-KDD, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria; [email protected] (F.J.); [email protected] (A.H.) * Correspondence: [email protected] These authors contributed equally to this work. y Received: 27 October 2019; Accepted: 3 January 2020; Published: 15 January 2020 Abstract: The complexity of cancer diseases demands bioinformatic techniques and translational research based on big data and personalized medicine. Open data enables researchers to accelerate cancer studies, save resources and foster collaboration. Several tools and programming approaches are available for analyzing data, including annotation, clustering, comparison and extrapolation, merging, enrichment, functional association and statistics. We exploit openly available data via cancer gene expression analysis, we apply refinement as well as enrichment analysis via gene ontology and conclude with graph-based visualization of involved protein interaction networks as a basis for signaling. The different databases allowed for the construction of huge networks or specified ones consisting of high-confidence interactions only. Several genes associated to glioma were isolated via a network analysis from top hub nodes as well as from an outlier analysis. The latter approach highlights a mitogen-activated protein kinase next to a member of histondeacetylases and a protein phosphatase as genes uncommonly associated with glioma. Cluster analysis from top hub nodes lists several identified glioma-associated gene products to function within protein complexes, including epidermal growth factors as well as cell cycle proteins or RAS proto-oncogenes. -
Human Genetic Variation Influences Enteric Fever Progression
cells Review Human Genetic Variation Influences Enteric Fever Progression Pei Yee Ma 1, Jing En Tan 2, Edd Wyn Hee 2, Dylan Wang Xi Yong 2, Yi Shuan Heng 2, Wei Xiang Low 2, Xun Hui Wu 2 , Christy Cletus 2, Dinesh Kumar Chellappan 3 , Kyan Aung 4, Chean Yeah Yong 5 and Yun Khoon Liew 3,* 1 School of Postgraduate Studies, International Medical University, Bukit Jalil, Kuala Lumpur 57000, Malaysia; [email protected] 2 School of Pharmacy, International Medical University, Kuala Lumpur 57000, Malaysia; [email protected] (J.E.T.); [email protected] (E.W.H.); [email protected] (D.W.X.Y.); [email protected] (Y.S.H.); [email protected] (W.X.L.); [email protected] (X.H.W.); [email protected] (C.C.) 3 Department of Life Sciences, International Medical University, Kuala Lumpur 57000, Malaysia; [email protected] 4 Department of Pathology, International Medical University, Kuala Lumpur 57000, Malaysia; [email protected] 5 Department of Microbiology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, Selangor 43400, Malaysia; [email protected] * Correspondence: [email protected] Abstract: In the 21st century, enteric fever is still causing a significant number of mortalities, espe- cially in high-risk regions of the world. Genetic studies involving the genome and transcriptome have revealed a broad set of candidate genetic polymorphisms associated with susceptibility to Citation: Ma, P.Y.; Tan, J.E.; Hee, and the severity of enteric fever. This review attempted to explain and discuss the past and the E.W.; Yong, D.W.X.; Heng, Y.S.; Low, W.X.; Wu, X.H.; Cletus, C.; Kumar most recent findings on human genetic variants affecting the progression of Salmonella typhoidal Chellappan, D.; Aung, K.; et al. -
Genetic Variation As a Tool for Identifying Novel Transducers of Itch
Genetic variation as a tool for identifying novel transducers of itch By Takeshi Morita A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Molecular and Cell Biology in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Diana M. Bautista, Co-Chair Professor Rachel B. Brem, Co-Chair Professor John Ngai Professor Kristin Scott Professor Michael W. Nachman Summer 2016 Abstract Genetic variation as a tool for identifying novel transducers of itch by Takeshi Morita Doctor of Philosophy in Molecular and Cell Biology University of California, Berkeley Professor Diana M. Bautista, Co-Chair Professor Rachel B. Brem, Co-Chair The mammalian somatosensory system mediates itch, the irritating sensation that elicits a desire to scratch. Millions of people worldwide suffer from chronic itch that fails to respond to current drugs and therapies. Even though recent studies have begun to elucidate the basic characteristics of the itch circuitry, we have little understanding about the molecules and signaling mechanisms that underlie detection and transduction of itch sensation, especially during chronic itch conditions. We have taken a genomic approach by harnessing natural variation in itch-evoked scratching behaviors in mice to identify novel molecular players that are involved in itch signal transduction at the level of primary sensory neurons. From our analysis, we identified numerous candidate itch genes, and further identified a serotonin receptor, HTR7 as a key transducer that is required for both development and maintenance of chronic itch. We further investigated the genetic basis of variation in itch, and identified a set of genes and regulatory pathways that may be involved in controlling itch behaviors. -
VAC14 Gene‐Related Parkinsonism‐Dystonia with Response to Deep Brain Stimulation
de gusmao claudio (Orcid ID: 0000-0001-7171-1406) VAC14 gene-related parkinsonism-dystonia with response to deep brain stimulation Claudio M. de Gusmao, MD1, Scellig Stone, MD, PhD2, Jeff L. Waugh MD, PhD1,3, Edward Yang, MD, PhD4, Guy M. Lenk, PhD5, Lance H. Rodan, MD, FRCP(C)1,6 Affiliations: 1. Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. 2. Department of Neurosurgery, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA 3. Division of Pediatric Neurology, University of Texas Southwestern, Dallas, Texas, USA 4. Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA 5. Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, USA 6. Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA Corresponding authors: Lance Rodan Boston Children's Hospital. 300 Longwood Ave. Boston, MA 02115 Phone: 857-218-4637 / Fax: 617-730-0466 Email: [email protected] This is the author manuscript accepted for publication and has undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1002/mdc3.12797 This article is protected by copyright. All rights reserved. Claudio Melo de Gusmao Boston Children’s Hospital. 300 Longwood Ave, Mailstop BCH 34343 Boston, MA 02115. Phone: 617-919-1412 / Fax: 617-730-0279 Email: [email protected] Word count: 800 words Running head title: VAC14 dystonia-parkinsonism responds to DBS Key words: Dystonia, Parkinsonism, Deep Brain Stimulation, Inborn genetic disease, Neurodegeneration with brain iron accumulation DISCLOSURES Funding sources and conflicts of interest: None of the authors have relevant financial disclosures or conflicts of interest directly relevant to this research.