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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. -
Sequences, Annotation and Single Nucleotide Polymorphism of The
Nova Southeastern University NSUWorks Biology Faculty Articles Department of Biological Sciences 6-2008 Sequences, Annotation and Single Nucleotide Polymorphism of the Major Histocompatibility Complex in the Domestic Cat Naoya Yuhki National Cancer Institute at Frederick James C. Mullikin National Human Genome Research Institute Thomas W. Beck National Cancer Institute at Frederick Robert M. Stephens National Cancer Institute at Frederick Stephen J. O'Brien National Cancer Institute at Frederick, [email protected] Follow this and additional works at: https://nsuworks.nova.edu/cnso_bio_facarticles Part of the Genetics and Genomics Commons, and the Zoology Commons NSUWorks Citation Yuhki, Naoya; James C. Mullikin; Thomas W. Beck; Robert M. Stephens; and Stephen J. O'Brien. 2008. "Sequences, Annotation and Single Nucleotide Polymorphism of the Major Histocompatibility Complex in the Domestic Cat." PLoS ONE 7, (3 e2674): 1-17. https://nsuworks.nova.edu/cnso_bio_facarticles/773 This Article is brought to you for free and open access by the Department of Biological Sciences at NSUWorks. It has been accepted for inclusion in Biology Faculty Articles by an authorized administrator of NSUWorks. For more information, please contact [email protected]. Sequences, Annotation and Single Nucleotide Polymorphism of the Major Histocompatibility Complex in the Domestic Cat Naoya Yuhki1*, James C. Mullikin2, Thomas Beck3, Robert Stephens4, Stephen J. O’Brien1 1 Laboratory of Genomic Diversity, National Cancer Institute at Frederick, Frederick, Maryland, -
2020 Program Book
PROGRAM BOOK Note that TAGC was cancelled and held online with a different schedule and program. This document serves as a record of the original program designed for the in-person meeting. April 22–26, 2020 Gaylord National Resort & Convention Center Metro Washington, DC TABLE OF CONTENTS About the GSA ........................................................................................................................................................ 3 Conference Organizers ...........................................................................................................................................4 General Information ...............................................................................................................................................7 Mobile App ....................................................................................................................................................7 Registration, Badges, and Pre-ordered T-shirts .............................................................................................7 Oral Presenters: Speaker Ready Room - Camellia 4.......................................................................................7 Poster Sessions and Exhibits - Prince George’s Exhibition Hall ......................................................................7 GSA Central - Booth 520 ................................................................................................................................8 Internet Access ..............................................................................................................................................8 -
Structural Basis for DEAH-Helicase Activation by G-Patch Proteins
Structural basis for DEAH-helicase activation by G-patch proteins Michael K. Studera, Lazar Ivanovica, Marco E. Webera, Sabrina Martia, and Stefanie Jonasa,1 aInstitute of Molecular Biology and Biophysics, Department of Biology, Swiss Federal Institute of Technology (ETH) Zürich, 8093 Zürich, Switzerland Edited by Joseph D. Puglisi, Stanford University School of Medicine, Stanford, CA, and approved February 21, 2020 (received for review August 12, 2019) RNA helicases of the DEAH/RHA family are involved in many essential RNA bases are stacked in the RNA binding channel between a long cellular processes, such as splicing or ribosome biogenesis, where β-hairpin in RecA2 (β14 to β15 in hsDHX15/scPrp43; SI Appendix, they remodel large RNA–protein complexes to facilitate transitions Fig. S1) and a conserved loop in RecA1 (termed “Hook-turn”). to the next intermediate. DEAH helicases couple adenosine tri- This means that during progression into the open state, the phosphate (ATP) hydrolysis to conformational changes of their β-hairpin and two other RNA-binding patches in RecA2 (termed catalytic core. This movement results in translocation along RNA, “Hook-loop” and “motif V”; SI Appendix, Fig. S1) have to shift 1 which is held in place by auxiliary C-terminal domains. The activity nucleotide (nt) toward the 5′ end of the RNA. Thus, when the of DEAH proteins is strongly enhanced by the large and diverse RecA domains close back up, at the start of the next hydrolysis class of G-patch activators. Despite their central roles in RNA me- cycle, the RNA is pushed by 1 nt through the RNA channel. -
“The Impact of ART on Genome‐Wide Oxidation of 5‐Methylcytosine and the Transcriptome During Early Mouse Development”
“The impact of ART on genome‐wide oxidation of 5‐methylcytosine and the transcriptome during early mouse development” Dissertation zur Erlangung des Grades “Doktor der Naturwissenschaften” am Fachbereich Biologie der Johannes Gutenberg-Universität Mainz Elif Diken geb. Söğütcü geb. am 22.07.1987 in Giresun-TURKEY Mainz 2016 Dekan: 1. Berichterstatter: 2. Berichterstatter: Tag der mündlichen Prüfung: Summary Summary The use of assisted reproductive technologies (ART) has been increasing over the past three decades due to the elevated frequency of infertility problems. Other factors such as easier access to medical aid than in the past and its coverage by health insurance companies in many developed countries also contributed to this growing interest. Nevertheless, a negative impact of ART on transcriptome and methylation reprogramming is heavily discussed. Methylation reprogramming directly after fertilization manifests itself as genome-wide DNA demethylation associated with the oxidation of 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC) in the pronuclei of mouse zygotes. To investigate the possible impact of ART particularly on this process and the transcriptome in general, pronuclear stage mouse embryos obtained upon spontaneous ovulation or superovulation through hormone stimulation representing ART were subjected to various epigenetic analyses. A whole- transcriptome RNA-Seq analysis of pronuclear stage embryos from spontaneous and superovulated matings demonstrated altered expression of the Bbs12 gene known to be linked to Bardet-Biedl syndrome (BBS) as well as the Dhx16 gene whose zebrafish ortholog was reported to be a maternal effect gene. Immunofluorescence staining with antibodies against 5mC and 5hmC showed that pronuclear stage embryos obtained by superovulation have an increased incidence of abnormal methylation and hydroxymethylation patterns in both maternal and paternal pronuclear DNA compared to their spontaneously ovulated counterparts. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Supplementary Material
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Page 1 / 45 SUPPLEMENTARY MATERIAL Appendix A1: Neuropsychological protocol. Appendix A2: Description of the four cases at the transitional stage. Table A1: Clinical status and center proportion in each batch. Table A2: Complete output from EdgeR. Table A3: List of the putative target genes. Table A4: Complete output from DIANA-miRPath v.3. Table A5: Comparison of studies investigating miRNAs from brain samples. Figure A1: Stratified nested cross-validation. Figure A2: Expression heatmap of miRNA signature. Figure A3: Bootstrapped ROC AUC scores. Figure A4: ROC AUC scores with 100 different fold splits. Figure A5: Presymptomatic subjects probability scores. Figure A6: Heatmap of the level of enrichment in KEGG pathways. Kmetzsch V, et al. J Neurol Neurosurg Psychiatry 2021; 92:485–493. doi: 10.1136/jnnp-2020-324647 BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Appendix A1. Neuropsychological protocol The PREV-DEMALS cognitive evaluation included standardized neuropsychological tests to investigate all cognitive domains, and in particular frontal lobe functions. The scores were provided previously (Bertrand et al., 2018). Briefly, global cognitive efficiency was evaluated by means of Mini-Mental State Examination (MMSE) and Mattis Dementia Rating Scale (MDRS). Frontal executive functions were assessed with Frontal Assessment Battery (FAB), forward and backward digit spans, Trail Making Test part A and B (TMT-A and TMT-B), Wisconsin Card Sorting Test (WCST), and Symbol-Digit Modalities test. -
Rats and Axolotls Share a Common Molecular Signature After Spinal Cord Injury Enriched in Collagen-1
Rats and axolotls share a common molecular signature after spinal cord injury enriched in collagen-1 Athanasios Didangelos1, Katalin Bartus1, Jure Tica1, Bernd Roschitzki2, Elizabeth J. Bradbury1 1Wolfson CARD King’s College London, United Kingdom. 2Centre for functional Genomics, ETH Zurich, Switzerland. Running title: spinal cord injury in rats and axolotls Correspondence: A Didangelos: [email protected] SUPPLEMENTAL FIGURES AND LEGENDS Supplemental Fig. 1: Rat 7 days microarray differentially regulated transcripts. A-B: Protein-protein interaction networks of upregulated (A) and downregulated (B) transcripts identified by microarray gene expression profiling of rat SCI (4 sham versus 4 injured spinal cord samples) 7 days post-injury. Microarray expression data and experimental information is publicly available online (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45006) and is also summarised in Supplemental Table 1. Protein-protein interaction networks were performed in StringDB using the full range of protein interaction scores (0.15 – 0.99) to capture maximum evidence of proteins’ interactions. Networks were then further analysed for betweeness centrality and gene ontology (GO) annotations (BinGO) in Cytoscape. Node colour indicates betweeness centrality while edge colour and thickness indicate interaction score based on predicted functional links between nodes (green: low values; red: high values). C-D: The top 10 upregulated (C) or downregulated (D) transcripts sorted by betweeness centrality score in protein-protein interaction networks shown in A & B. E-F: Biological process GO analysis was performed on networks of upregulated and downregulated genes using BinGO in Cytoscape. Graphs indicate the 20 most significant GO categories and the number of genes in each category. -
DHX16 (NM 003587) Human Recombinant Protein Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for TP302912 DHX16 (NM_003587) Human Recombinant Protein Product data: Product Type: Recombinant Proteins Description: Recombinant protein of human DEAH (Asp-Glu-Ala-His) box polypeptide 16 (DHX16) Species: Human Expression Host: HEK293T Tag: C-Myc/DDK Predicted MW: 119.1 kDa Concentration: >50 ug/mL as determined by microplate BCA method Purity: > 80% as determined by SDS-PAGE and Coomassie blue staining Buffer: 25 mM Tris.HCl, pH 7.3, 100 mM glycine, 10% glycerol Preparation: Recombinant protein was captured through anti-DDK affinity column followed by conventional chromatography steps. Storage: Store at -80°C. Stability: Stable for 12 months from the date of receipt of the product under proper storage and handling conditions. Avoid repeated freeze-thaw cycles. RefSeq: NP_003578 Locus ID: 8449 UniProt ID: O60231, Q5SQH4 RefSeq Size: 3477 Cytogenetics: 6p21.33 RefSeq ORF: 3126 Synonyms: DBP2; DDX16; NMOAS; PRO2014; Prp2; PRP8; PRPF2 This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 DHX16 (NM_003587) Human Recombinant Protein – TP302912 Summary: DEAD box proteins, characterized by the conserved motif Asp-Glu-Ala-Asp (DEAD), are putative RNA helicases. They are implicated in a number of cellular processes involving alteration of RNA secondary structure such as translation initiation, nuclear and mitochondrial splicing, and ribosome and spliceosome assembly. -
Mrna Editing, Processing and Quality Control in Caenorhabditis Elegans
| WORMBOOK mRNA Editing, Processing and Quality Control in Caenorhabditis elegans Joshua A. Arribere,*,1 Hidehito Kuroyanagi,†,1 and Heather A. Hundley‡,1 *Department of MCD Biology, UC Santa Cruz, California 95064, †Laboratory of Gene Expression, Medical Research Institute, Tokyo Medical and Dental University, Tokyo 113-8510, Japan, and ‡Medical Sciences Program, Indiana University School of Medicine-Bloomington, Indiana 47405 ABSTRACT While DNA serves as the blueprint of life, the distinct functions of each cell are determined by the dynamic expression of genes from the static genome. The amount and specific sequences of RNAs expressed in a given cell involves a number of regulated processes including RNA synthesis (transcription), processing, splicing, modification, polyadenylation, stability, translation, and degradation. As errors during mRNA production can create gene products that are deleterious to the organism, quality control mechanisms exist to survey and remove errors in mRNA expression and processing. Here, we will provide an overview of mRNA processing and quality control mechanisms that occur in Caenorhabditis elegans, with a focus on those that occur on protein-coding genes after transcription initiation. In addition, we will describe the genetic and technical approaches that have allowed studies in C. elegans to reveal important mechanistic insight into these processes. KEYWORDS Caenorhabditis elegans; splicing; RNA editing; RNA modification; polyadenylation; quality control; WormBook TABLE OF CONTENTS Abstract 531 RNA Editing and Modification 533 Adenosine-to-inosine RNA editing 533 The C. elegans A-to-I editing machinery 534 RNA editing in space and time 535 ADARs regulate the levels and fates of endogenous dsRNA 537 Are other modifications present in C. -
Lecture 15. Chromhmm & ENCODE
Lecture 15. ChromHMM & ENCODE Michael Schatz March 23, 2020 JHU 601.749: Applied Comparative Genomics Assignment 5: Due Mon Mar 23 Project Proposal: Due Mon Mar 23 *-seq in 4 short vignettes RNA-seq Methyl-seq ChIP-seq Hi-C Human Evolution ~5 Mya ~75 Mya ~100 Mya ~160 and 210 Mya As expected, the majority of platypus genes (82%; 15,312 out of 18,596) have orthologues in these five other amniotes (Supplementary Table 5). The remaining 'orphan' genes are expected to primarily reflect rapidly evolving genes, for which no other homologues are discernible, erroneous predictions, and true lineage-specific genes that have been lost in each of the other five species under consideration. Genome analysis of the platypus reveals unique signatures of evolution (2008) Nature. 453, 175-183 doi:10.1038/nature06936 Methyl-seq Finding the fifth base: Genome-wide sequencing of cytosine methylation Lister and Ecker (2009) Genome Research. 19: 959-966 Bisulfite Conversion Treating DNA with sodium bisulfite will convert unmethylated C to T • 5-MethyC will be protected and not change, so can look for differences when mapping • Requires great care when analyzing reads, since the complementary strand will also be converted (G to A) • Typically analyzed by mapping to a “reduced alphabet” where we assume all Cs are converted to Ts once on the forward strand and once on the reverse Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications Krueger and Andrews (2010) Bioinformatics. 27 (11): 1571-1572. ChIP-seq Genome-wide mapping of in vivo protein-DNA interactions. Johnson et al (2007) Science. -
Anti-C6orf136 Product Datasheet Polyclonal Antibody
Anti-C6orf136 Product Datasheet Polyclonal Antibody PRODUCT SPECIFICATION Product Name Anti-C6orf136 Product Number HPA046804 Gene Description chromosome 6 open reading frame 136 Clonality Polyclonal Isotype IgG Host Rabbit Antigen Sequence Recombinant Protein Epitope Signature Tag (PrEST) antigen sequence: EGPGPELHSGCLDGLRSLFEGPPCPYPGAWIPFQVPGTAHPSPATPSGDP SMEEHLSVMYERLRQELPKLFLQSHDYSLYSLDV Purification Method Affinity purified using the PrEST antigen as affinity ligand Verified Species Human Reactivity Recommended IHC (Immunohistochemistry) Applications - Antibody dilution: 1:20 - 1:50 - Retrieval method: HIER pH6 Characterization Data Available at atlasantibodies.com/products/HPA046804 Buffer 40% glycerol and PBS (pH 7.2). 0.02% sodium azide is added as preservative. Concentration Lot dependent Storage Store at +4°C for short term storage. Long time storage is recommended at -20°C. Notes Gently mix before use. Optimal concentrations and conditions for each application should be determined by the user. For protocols, additional product information, such as images and references, see atlasantibodies.com. Product of Sweden. For research use only. Not intended for pharmaceutical development, diagnostic, therapeutic or any in vivo use. No products from Atlas Antibodies may be resold, modified for resale or used to manufacture commercial products without prior written approval from Atlas Antibodies AB. Warranty: The products supplied by Atlas Antibodies are warranted to meet stated product specifications and to conform to label descriptions when used and stored properly. Unless otherwise stated, this warranty is limited to one year from date of sales for products used, handled and stored according to Atlas Antibodies AB's instructions. Atlas Antibodies AB's sole liability is limited to replacement of the product or refund of the purchase price.