Genomic Identification, Evolution and Sequence Analysis of the Heat
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Computational Genome-Wide Identification of Heat Shock Protein Genes in the Bovine Genome [Version 1; Peer Review: 2 Approved, 1 Approved with Reservations]
F1000Research 2018, 7:1504 Last updated: 08 AUG 2021 RESEARCH ARTICLE Computational genome-wide identification of heat shock protein genes in the bovine genome [version 1; peer review: 2 approved, 1 approved with reservations] Oyeyemi O. Ajayi1,2, Sunday O. Peters3, Marcos De Donato2,4, Sunday O. Sowande5, Fidalis D.N. Mujibi6, Olanrewaju B. Morenikeji2,7, Bolaji N. Thomas 8, Matthew A. Adeleke 9, Ikhide G. Imumorin2,10,11 1Department of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, Nigeria 2International Programs, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY, 14853, USA 3Department of Animal Science, Berry College, Mount Berry, GA, 30149, USA 4Departamento Regional de Bioingenierias, Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Queretaro, Mexico 5Department of Animal Production and Health, Federal University of Agriculture, Abeokuta, Nigeria 6Usomi Limited, Nairobi, Kenya 7Department of Animal Production and Health, Federal University of Technology, Akure, Nigeria 8Department of Biomedical Sciences, Rochester Institute of Technology, Rochester, NY, 14623, USA 9School of Life Sciences, University of KwaZulu-Natal, Durban, 4000, South Africa 10School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30032, USA 11African Institute of Bioscience Research and Training, Ibadan, Nigeria v1 First published: 20 Sep 2018, 7:1504 Open Peer Review https://doi.org/10.12688/f1000research.16058.1 Latest published: 20 Sep 2018, 7:1504 https://doi.org/10.12688/f1000research.16058.1 Reviewer Status Invited Reviewers Abstract Background: Heat shock proteins (HSPs) are molecular chaperones 1 2 3 known to bind and sequester client proteins under stress. Methods: To identify and better understand some of these proteins, version 1 we carried out a computational genome-wide survey of the bovine 20 Sep 2018 report report report genome. -
Gene Targeting Therapies (Roy Alcalay)
Recent Developments in Gene - Targeted Therapies for Parkinson’s Disease Roy Alcalay, MD, MS Alfred and Minnie Bressler Associate Professor of Neurology Division of Movement Disorders Columbia University Medical Center Disclosures Funding: Dr. Alcalay is funded by the National Institutes of Health, the DOD, the Michael J. Fox Foundation and the Parkinson’s Foundation. Dr. Alcalay receives consultation fees from Genzyme/Sanofi, Restorbio, Janssen, and Roche. Gene Localizations Identified in PD Gene Symbol Protein Transmission Chromosome PARK1 SNCA α-synuclein AD 4q22.1 PARK2 PRKN parkin (ubiquitin ligase) AR 6q26 PARK3 ? ? AD 2p13 PARK4 SNCA triplication α-synuclein AD 4q22.1 PARK5 UCH-L1 ubiquitin C-terminal AD 4p13 hydrolase-L1 PARK6 PINK1 PTEN-induced kinase 1 AR 1p36.12 PARK7 DJ-1 DJ-1 AR 1p36.23 PARK8 LRRK2 leucine rich repeat kinase 2 AD 12q12 PARK9 ATP13A2 lysosomal ATPase AR 1p36.13 PARK10 ? ? (Iceland) AR 1p32 PARK11 GIGYF2 GRB10-interacting GYF protein 2 AD 2q37.1 PARK12 ? ? X-R Xq21-q25 PARK13 HTRA2 serine protease AD 2p13.1 PARK14 PLA2G6 phospholipase A2 (INAD) AR 22q13.1 PARK15 FBXO7 F-box only protein 7 AR 22q12.3 PARK16 ? Discovered by GWAS ? 1q32 PARK17 VPS35 vacuolar protein sorting 35 AD 16q11.2 PARK18 EIF4G1 initiation of protein synth AD 3q27.1 PARK19 DNAJC6 auxilin AR 1p31.3 PARK20 SYNJ1 synaptojanin 1 AR 21q22.11 PARK21 DNAJC13 8/RME-8 AD 3q22.1 PARK22 CHCHD2 AD 7p11.2 PARK23 VPS13C AR 15q22 Gene Localizations Identified in PD Disorder Symbol Protein Transmission Chromosome PD GBA β-glucocerebrosidase AD 1q21 SCA2 -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
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. -
Datasheet BA0931 Anti-HSPH1 Antibody
Product datasheet Anti-HSPH1 Antibody Catalog Number: BA0931 BOSTER BIOLOGICAL TECHNOLOGY Special NO.1, International Enterprise Center, 2nd Guanshan Road, Wuhan, China Web: www.boster.com.cn Phone: +86 27 67845390 Fax: +86 27 67845390 Email: [email protected] Basic Information Product Name Anti-HSPH1 Antibody Gene Name HSPH1 Source Rabbit IgG Species Reactivity human,rat,mouse Tested Application WB,IHC-P,ICC/IF,FCM Contents 500ug/ml antibody with PBS ,0.02% NaN3 , 1mg BSA and 50% glycerol. Immunogen A synthetic peptide corresponding to a sequence at the C-terminus of human Hsp105(713-733aa EVMEWMNNVMNAQAKKSLDQD), different from the related mouse sequence by one amino acid, and different from the related rat sequence by two amino acids. Purification Immunogen affinity purified. Observed MW 110KD Dilution Ratios Western blot: 1:500-2000 Immunohistochemistry in paraffin section IHC-(P): 1:50-400 Immunocytochemistry/Immunofluorescence (ICC/IF): 1:50-400 Flow cytometry (FCM): 1-3μg/1x106 cells (Boiling the paraffin sections in 10mM citrate buffer,pH6.0,or PH8.0 EDTA repair liquid for 20 mins is required for the staining of formalin/paraffin sections.) Optimal working dilutions must be determined by end user. Storage 12 months from date of receipt,-20℃ as supplied.6 months 2 to 8℃ after reconstitution. Avoid repeated freezing and thawing Background Information HSP105(HEAT-SHOCK 105/110-KD PROTEIN 1), also called HSPH1 or HSP110, is a protein that in humans is encoded by the HSPH1 gene. Immunohistochemical analysis localizes HSP105 mainly in the cytoplasm. Database analysis indicates that both HSP105 isoforms are highly conserved during evolution. -
A SARS-Cov-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing
A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing Supplementary Information Supplementary Discussion All SARS-CoV-2 protein and gene functions described in the subnetwork appendices, including the text below and the text found in the individual bait subnetworks, are based on the functions of homologous genes from other coronavirus species. These are mainly from SARS-CoV and MERS-CoV, but when available and applicable other related viruses were used to provide insight into function. The SARS-CoV-2 proteins and genes listed here were designed and researched based on the gene alignments provided by Chan et. al. 1 2020 . Though we are reasonably sure the genes here are well annotated, we want to note that not every protein has been verified to be expressed or functional during SARS-CoV-2 infections, either in vitro or in vivo. In an effort to be as comprehensive and transparent as possible, we are reporting the sub-networks of these functionally unverified proteins along with the other SARS-CoV-2 proteins. In such cases, we have made notes within the text below, and on the corresponding subnetwork figures, and would advise that more caution be taken when examining these proteins and their molecular interactions. Due to practical limits in our sample preparation and data collection process, we were unable to generate data for proteins corresponding to Nsp3, Orf7b, and Nsp16. Therefore these three genes have been left out of the following literature review of the SARS-CoV-2 proteins and the protein-protein interactions (PPIs) identified in this study. -
Roles of Extracellular Hsps As Biomarkers in Immune Surveillance and Immune Evasion
International Journal of Molecular Sciences Review Roles of Extracellular HSPs as Biomarkers in Immune Surveillance and Immune Evasion 1,2,3, 4, 1,5, , Eman A. Taha y, Kisho Ono y and Takanori Eguchi * y 1 Department of Dental Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8525, Japan; [email protected] 2 Department of Medical Bioengineering, Graduate School of Natural Science and Technology, Okayama University, Okayama 700-8530, Japan 3 Department of Biochemistry, Ain Shams University Faculty of Science, Cairo 11566, Egypt 4 Department of Oral and Maxillofacial Surgery, Okayama University Hospital, Okayama 700-0914, Japan; [email protected] 5 Advanced Research Center for Oral and Craniofacial Sciences, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama 700-8525, Japan * Correspondence: [email protected]; Tel.: +81-86-235-6662 These authors contributed equally to this work. y Received: 16 August 2019; Accepted: 14 September 2019; Published: 17 September 2019 Abstract: Extracellular heat shock proteins (ex-HSPs) have been found in exosomes, oncosomes, membrane surfaces, as well as free HSP in cancer and various pathological conditions, also known as alarmins. Such ex-HSPs include HSP90 (α, β, Gp96, Trap1), HSP70, and large and small HSPs. Production of HSPs is coordinately induced by heat shock factor 1 (HSF1) and hypoxia-inducible factor 1 (HIF-1), while matrix metalloproteinase 3 (MMP-3) and heterochromatin protein 1 are novel inducers of HSPs. Oncosomes released by tumor cells are a major aspect of the resistance-associated secretory phenotype (RASP) by which immune evasion can be established. -
Identification of Candidate Parkinson Disease Genes by Integrating Genome-Wide Association Study, Expression, and Epigenetic Data Sets
Research JAMA Neurology | Original Investigation Identification of Candidate Parkinson Disease Genes by Integrating Genome-Wide Association Study, Expression, and Epigenetic Data Sets Demis A. Kia, MBBS; David Zhang, MSc; Sebastian Guelfi, PhD; Claudia Manzoni, PhD; Leon Hubbard, PhD; Regina H. Reynolds, MSc; Juan Botía, PhD; Mina Ryten, MD; Raffaele Ferrari, PhD; Patrick A. Lewis, PhD; Nigel Williams, PhD; Daniah Trabzuni, PhD; John Hardy, PhD; Nicholas W. Wood, PhD; for the United Kingdom Brain Expression Consortium (UKBEC) and the International Parkinson’s Disease Genomics Consortium (IPDGC) Supplemental content IMPORTANCE Substantial genome-wide association study (GWAS) work in Parkinson disease (PD) has led to the discovery of an increasing number of loci shown reliably to be associated with increased risk of disease. Improved understanding of the underlying genes and mechanisms at these loci will be key to understanding the pathogenesis of PD. OBJECTIVE To investigate what genes and genomic processes underlie the risk of sporadic PD. DESIGN AND SETTING This genetic association study used the bioinformatic tools Coloc and transcriptome-wide association study (TWAS) to integrate PD case-control GWAS data published in 2017 with expression data (from Braineac, the Genotype-Tissue Expression [GTEx], and CommonMind) and methylation data (derived from UK Parkinson brain samples) to uncover putative gene expression and splicing mechanisms associated with PD GWAS signals. Candidate genes were further characterized using cell-type specificity, weighted gene coexpression networks, and weighted protein-protein interaction networks. MAIN OUTCOMES AND MEASURES It was hypothesized a priori that some genes underlying PD loci would alter PD risk through changes to expression, splicing, or methylation. -
Neuronal Vulnerability and Multilineage Diversity in Multiple Sclerosis
Europe PMC Funders Group Author Manuscript Nature. Author manuscript; available in PMC 2020 January 17. Published in final edited form as: Nature. 2019 June 13; 573(7772): 75–82. doi:10.1038/s41586-019-1404-z. Europe PMC Funders Author Manuscripts Neuronal vulnerability and multilineage diversity in multiple sclerosis Lucas Schirmer#1,2,3,4, Dmitry Velmeshev#1,5, Staffan Holmqvist2, Max Kaufmann6, Sebastian Werneburg7, Diane Jung1,5, Stephanie Vistnes1,4, John H. Stockley2, Adam Young8, Maike Steindel2,8, Brian Tung1,5,9, Nitasha Goyal1,5,9, Aparna Bhaduri1,5, Simone Mayer1,5, Jan Broder Engler6, Omer A. Bayraktar2, Robin J. M. Franklin8, Maximilian Haeussler10, Richard Reynolds11, Dorothy P. Schafer7, Manuel A. Friese6, Lawrence R. Shiow1,4, Arnold R. Kriegstein1,5,†, David H. Rowitch1,2,4,† 1Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, CA 94143, USA 2Department of Paediatrics and Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, CB2 0QQ, UK 3Department of Neurology, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany 4Department of Pediatrics/Neonatology, University of California, San Francisco, San Francisco, CA 94158, USA 5Department of Neurology, University of California, San Francisco, San Francisco, CA 94158, Europe PMC Funders Author Manuscripts USA 6Institute of Neuroimmunology and Multiple Sclerosis, Center for Molecular Neurobiology Hamburg, University Medical Center Hamburg-Eppendorf, -
Anti-Bip / GRP78 Antibody (ARG20531)
Product datasheet [email protected] ARG20531 Package: 100 μl, 50 μl anti-BiP / GRP78 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes BiP / GRP78 Tested Reactivity Hu, Ms, Rat, Bov, Dog, Fungi, Hm, Mk, Rb, Xenopus laevis Predict Reactivity Bov, Hm, Mk, Rb, Xenopus Tested Application ICC/IF, IHC-FoFr , IHC-P, IP, WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name BiP / GRP78 Antigen Species Rat Immunogen KLH-conjugated sythetic peptide of Rat BiP / GRP78. Conjugation Un-conjugated Alternate Names Heat shock 70 kDa protein 5; BiP; GRP-78; Endoplasmic reticulum lumenal Ca; MIF2; 78 kDa glucose- regulated protein; GRP78; Immunoglobulin heavy chain-binding protein; HEL-S-89n; BIP; 2+ Application Instructions Application table Application Dilution ICC/IF 1:100 IHC-FoFr Assay-dependent IHC-P Assay-dependent IP Assay-dependent WB 1:1000 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Calculated Mw 72 kDa Properties Form Liquid Purification Affinity purification with immunogen. Buffer Rabbit antiserum. Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C or below. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. www.arigobio.com 1/3 Note For laboratory research only, not for drug, diagnostic or other use. Bioinformation Gene Symbol Hspa5 Gene Full Name heat shock protein 5 Background The protein encoded by this gene is a member of the heat shock protein 70 (HSP70) family. -
High Constitutive Cytokine Release by Primary Human Acute Myeloid Leukemia Cells Is Associated with a Specific Intercellular Communication Phenotype
Supplementary Information High Constitutive Cytokine Release by Primary Human Acute Myeloid Leukemia Cells Is Associated with a Specific Intercellular Communication Phenotype Håkon Reikvam 1,2,*, Elise Aasebø 1, Annette K. Brenner 2, Sushma Bartaula-Brevik 1, Ida Sofie Grønningsæter 2, Rakel Brendsdal Forthun 2, Randi Hovland 3,4 and Øystein Bruserud 1,2 1 Department of Clinical Science, University of Bergen, 5020, Bergen, Norway 2 Department of Medicine, Haukeland University Hospital, 5021, Bergen, Norway 3 Department of Medical Genetics, Haukeland University Hospital, 5021, Bergen, Norway 4 Institute of Biomedicine, University of Bergen, 5020, Bergen, Norway * Correspondence: [email protected]; Tel.: +55-97-50-00 J. Clin. Med. 2019, 8, x 2 of 36 Figure S1. Mutational studies in a cohort of 71 AML patients. The figure shows the number of patients with the various mutations (upper), the number of mutations in for each patient (middle) and the number of main classes with mutation(s) in each patient (lower). 2 J. Clin. Med. 2019, 8, x; doi: www.mdpi.com/journal/jcm J. Clin. Med. 2019, 8, x 3 of 36 Figure S2. The immunophenotype of primary human AML cells derived from 62 unselected patients. The expression of the eight differentiation markers CD13, CD14, CD15, CD33, CD34, CD45, CD117 and HLA-DR was investigated for 62 of the 71 patients included in our present study. We performed an unsupervised hierarchical cluster analysis and identified four patient main clusters/patient subsets. The mutational profile for each f the 62 patients is also given (middle), no individual mutation of main class of mutations showed any significant association with any of the for differentiation marker clusters (middle). -
Protein Homeostasis, Second Edition
This is a free sample of content from Protein Homeostasis, Second Edition. Click here for more information on how to buy the book. Index A overview of diseases, 13, 41–43 Abf2, 160 polyphosphate AD. See Alzheimer’s disease amyloidogenic protein interactions, 393–395 AFG3L2, 162 cytotoxicity amelioration, 396–397 Africa swine fever virus (ASFV), 468 prospects for study, 52, 55 Aging protein homeostasis context, 48–49 heat shock factors, 431 structure–activity relationship, 14–15 proteostasis network regulation, 450–452 therapeutic intervention, 50–52 Ago2, 335, 467 toxicity, 47–48 Aha1, 333, 335, 338–339, 504 Amyotrophic lateral sclerosis (ALS), 214, 262, 264, AIRAP, 267 290–291, 293, 404, 409, 524, 532 AIRAPL, 267–268 ApoB, 135 AKT, 274, 467 ASFV. See Africa swine fever virus ALK, 503 ATAD1, 104 ALMC2, 487 ATF4, 79, 88, 182, 186, 189, 445–446 ALP. See Autophagy lysosome pathway ATF5, 182, 186, 189 a-Synuclein, 375, 522 ATF6, 60, 62–64, 79, 445–446, 481–482, 484–489 ALS. See Amyotrophic lateral sclerosis ATFS-1, 99, 180–181, 185, 188–189, 445–446 Alzheimer’s disease (AD), 186, 519 Atg7, 293 autophagy lysosomal pathway, 290–291 Atg32, 167 chaperone studies, 213–214, 216–217, 222 ATM, 313 Hsp90 studies, 337 ATR, 313 polyphosphate studies, 392, 394–395, 399 Atropine, 501 AMPK, 444 ATXN2, 524 Amyloid Autophagy lysosome pathway (ALP) chaperone modulation chaperone-mediated autophagy, 288–289 aggregation prevention, 217–222 history of study, 285 degradation of amyloid-forming proteins, 225–227 macroautophagy, 287–288 disaggregation of amyloids,