Accumulation of Sequence Variants in Genes of Wnt Signaling and Focal Adhesion Pathways in Human Corneas Further Explains Their Involvement in Keratoconus
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Mutations in Diphosphoinositol- Pentakisphosphate Kinase PPIP5K2 Are Associated with Hearing Loss in Human and Mouse
RESEARCH ARTICLE Mutations in Diphosphoinositol- Pentakisphosphate Kinase PPIP5K2 are associated with hearing loss in human and mouse Rizwan Yousaf1, Chunfang Gu2, Zubair M. Ahmed3, Shaheen N. Khan4, Thomas B. Friedman5, Sheikh Riazuddin6, Stephen B. Shears2, Saima Riazuddin1* a1111111111 1 Laboratory of Molecular Genetics, Department of Otorhinolaryngology-Head & Neck Surgery, School of Medicine University of Maryland, Baltimore, MD, United States of America, 2 Signal Transduction Laboratory, a1111111111 National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, a1111111111 NC, United States of America, 3 Laboratory of Neurogenetics and Regenerative Medicine, Department of a1111111111 Otorhinolaryngology-Head & Neck Surgery, School of Medicine University of Maryland, Baltimore, MD, United a1111111111 States of America, 4 National Center for Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan, 5 Section on Human Genetics, Laboratory of Molecular Genetics, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, MD, United States of America, 6 Shaheed Zulfiqar Ali Bhutto Medical University, Pakistan Institute of Medical Sciences, Islamabad, Pakistan * [email protected] OPEN ACCESS Citation: Yousaf R, Gu C, Ahmed ZM, Khan SN, Friedman TB, Riazuddin S, et al. (2018) Mutations Abstract in Diphosphoinositol-Pentakisphosphate Kinase PPIP5K2 are associated with hearing loss in Autosomal recessive nonsyndromic hearing loss is a genetically heterogeneous disorder. human and mouse. PLoS Genet 14(3): e1007297. https://doi.org/10.1371/journal.pgen.1007297 Here, we report a severe-to-profound sensorineural hearing loss locus, DFNB100 on chro- mosome 5q13.2-q23.2. Exome enrichment followed by massive parallel sequencing Editor: Karen B. Avraham, Tel Aviv University, ISRAEL revealed a c.2510G>A transition variant in PPIP5K2 that segregated with DFNB100-associ- ated hearing loss in two large apparently unrelated Pakistani families. -
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. -
Evidence for Differential Alternative Splicing in Blood of Young Boys With
Stamova et al. Molecular Autism 2013, 4:30 http://www.molecularautism.com/content/4/1/30 RESEARCH Open Access Evidence for differential alternative splicing in blood of young boys with autism spectrum disorders Boryana S Stamova1,2,5*, Yingfang Tian1,2,4, Christine W Nordahl1,3, Mark D Shen1,3, Sally Rogers1,3, David G Amaral1,3 and Frank R Sharp1,2 Abstract Background: Since RNA expression differences have been reported in autism spectrum disorder (ASD) for blood and brain, and differential alternative splicing (DAS) has been reported in ASD brains, we determined if there was DAS in blood mRNA of ASD subjects compared to typically developing (TD) controls, as well as in ASD subgroups related to cerebral volume. Methods: RNA from blood was processed on whole genome exon arrays for 2-4–year-old ASD and TD boys. An ANCOVA with age and batch as covariates was used to predict DAS for ALL ASD (n=30), ASD with normal total cerebral volumes (NTCV), and ASD with large total cerebral volumes (LTCV) compared to TD controls (n=20). Results: A total of 53 genes were predicted to have DAS for ALL ASD versus TD, 169 genes for ASD_NTCV versus TD, 1 gene for ASD_LTCV versus TD, and 27 genes for ASD_LTCV versus ASD_NTCV. These differences were significant at P <0.05 after false discovery rate corrections for multiple comparisons (FDR <5% false positives). A number of the genes predicted to have DAS in ASD are known to regulate DAS (SFPQ, SRPK1, SRSF11, SRSF2IP, FUS, LSM14A). In addition, a number of genes with predicted DAS are involved in pathways implicated in previous ASD studies, such as ROS monocyte/macrophage, Natural Killer Cell, mTOR, and NGF signaling. -
Prioritization of Metabolic Genes As Novel Therapeutic Targets in Estrogen-Receptor Negative Breast Tumors Using Multi-Omics Data and Text Mining
www.oncotarget.com Oncotarget, 2019, Vol. 10, (No. 39), pp: 3894-3909 Research Paper Prioritization of metabolic genes as novel therapeutic targets in estrogen-receptor negative breast tumors using multi-omics data and text mining Dinesh Kumar Barupal1,*, Bei Gao1,*, Jan Budczies2, Brett S. Phinney4, Bertrand Perroud4, Carsten Denkert2,3 and Oliver Fiehn1 1West Coast Metabolomics Center, University of California, Davis, CA, USA 2Institute of Pathology, Charité University Hospital, Berlin, Germany 3German Institute of Pathology, Philipps-University Marburg, Marburg, Germany 4UC Davis Genome Center, University of California, Davis, CA, USA *Co-first authors and contributed equally to this work Correspondence to: Oliver Fiehn, email: [email protected] Keywords: set-enrichment; ChemRICH; multi-omics; metabolic networks; candidate gene prioritization Received: March 12, 2019 Accepted: May 13, 2019 Published: June 11, 2019 Copyright: Barupal et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Estrogen-receptor negative (ERneg) breast cancer is an aggressive breast cancer subtype in the need for new therapeutic options. We have analyzed metabolomics, proteomics and transcriptomics data for a cohort of 276 breast tumors (MetaCancer study) and nine public transcriptomics datasets using univariate statistics, meta- analysis, Reactome pathway analysis, biochemical network mapping and text mining of metabolic genes. In the MetaCancer cohort, a total of 29% metabolites, 21% proteins and 33% transcripts were significantly different (raw p <0.05) between ERneg and ERpos breast tumors. -
Cyclin-Dependent Kinase 2 (Cdk2) Controls Phosphatase-Regulated Signaling and Function in Platelets
bioRxiv preprint doi: https://doi.org/10.1101/2020.05.31.126953; this version posted June 28, 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. Cyclin-dependent kinase 2 (Cdk2) controls phosphatase-regulated signaling and function in platelets Paul R. Woods, Jr.,1,2 Brian L. Hood5, Sruti Shiva,$4 Thomas P. Conrads5, Sarah Suchko,2 Richard Steinman, 1,2,4# Departments oF Medicine1, Hillman Cancer Center2, Vascular Medicine Institute3, Department oF Molecular Pharmacology and Chemical Biology4, University of Pittsburgh School of Medicine; The Henry M. Jackson Foundation For the Advancement of Military Medicine, Inc., Inova Women’s Service Line, Inova Health System5 #Corresponding author: Richard Steinman, MD, PhD Associate Professor of Medicine and Pharmacology Associate Dean, Director Medical Scientist Training Program Director, Physician Scientist Training Program University of Pittsburgh School of Medicine 2.26f Hillman Cancer Center 5117 Centre Avenue Pittsburgh, PA 15213 USA phone: 412 6233237 fax: 412 6234840 [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2020.05.31.126953; this version posted June 28, 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. Abstract Cell cycle regulatory molecules including cyclin-dependent kinases can be recruited into non-nuclear pathways to coordinate cell cycling with the energetic state oF the cell or with Functions such as motility. -
Rabbit Anti-RABEP1 Antibody-SL19721R
SunLong Biotech Co.,LTD Tel: 0086-571- 56623320 Fax:0086-571- 56623318 E-mail:[email protected] www.sunlongbiotech.com Rabbit Anti-RABEP1 antibody SL19721R Product Name: RABEP1 Chinese Name: RABEP1蛋白抗体 Neurocrescin; Rab GTPase binding effector protein 1; RAB5EP; Rabaptin 4; Rabaptin Alias: 5; Rabaptin 5alpha; RABPT5; RABPT5A; Renal carcinoma antigen NY REN 17; Renal carcinoma antigen NYREN17. Organism Species: Rabbit Clonality: Polyclonal React Species: Human,Mouse,Rat, ELISA=1:500-1000IHC-P=1:400-800IHC-F=1:400-800ICC=1:100-500IF=1:100- 500(Paraffin sections need antigen repair) Applications: not yet tested in other applications. optimal dilutions/concentrations should be determined by the end user. Molecular weight: 99kDa Cellular localization: The cell membrane Form: Lyophilized or Liquid Concentration: 1mg/ml immunogen: KLH conjugated synthetic peptide derived from human RABEP1:501-600/862 Lsotype: IgGwww.sunlongbiotech.com Purification: affinity purified by Protein A Storage Buffer: 0.01M TBS(pH7.4) with 1% BSA, 0.03% Proclin300 and 50% Glycerol. Store at -20 °C for one year. Avoid repeated freeze/thaw cycles. The lyophilized antibody is stable at room temperature for at least one month and for greater than a year Storage: when kept at -20°C. When reconstituted in sterile pH 7.4 0.01M PBS or diluent of antibody the antibody is stable for at least two weeks at 2-4 °C. PubMed: PubMed RABEP1 is a Rab effector protein acting as linker between gamma-adaptin, RAB4A and RAB5A. It is involved in endocytic membrane fusion and membrane trafficking of Product Detail: recycling endosomes. Stimulates RABGEF1 mediated nucleotide exchange on RAB5A. -
Phosphoproteomics Identify Arachidonic-Acid-Regulated Signal Transduction Pathways Modulating Macrophage Functions with Implications for Ovarian Cancer
Phosphoproteomics identify arachidonic-acid-regulated signal transduction pathways modulating macrophage functions with implications for ovarian cancer Raimund Dietze1¶, Mohamad K. Hammoud1¶, María Gómez-Serrano1, Annika Unger1, Tim Bieringer1§, Florian Finkernagel1, Anna M. Sokol2,3, Andrea Nist4, Thorsten Stiewe4, Silke Reinartz1, Viviane Ponath5, Christian Preußer5, Elke Pogge von Strandmann5, Sabine Müller- Brüsselbach1, Johannes Graumann2,3 and Rolf Müller1* 1Tranlational OncologY Group, Center for Tumor BiologY and Immunology, Philipps University, Marburg, GermanY 2Biomolecular Mass Spectrometry, Max-Planck-Institute for Heart and Lung Research, Bad Nauheim, GermanY 3The German Centre for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Max Planck Institute for Heart and Lung Research, Bad Nauheim, GermanY 4Genomics Core Facility, Philipps UniversitY, Marburg, GermanY 5Institute for Tumor Immunology, Philipps University, Marburg, GermanY §Present address: Hochschule Landshut, 84036 Landshut, GermanY ¶Equal contribution *Corresponding author: Rolf Müller, Center for Tumor Biology and Immunology (ZTI), Philipps University, Hans-Meerwein-Strasse 3, 35043 Marburg, GermanY. Email: [email protected]. Phone: +49 6421 2866236. Running title: Signaling pathways of arachidonic acid in macrophages 1 Abstract Arachidonic acid (AA) is a polYunsaturated fatty acid present at high concentrations in the ovarian cancer (OC) microenvironment and associated with a poor clinical outcome. In the present studY, we have unraveled a potential link between AA and macrophage functions. Methods: AA-triggered signal transduction was studied in primary monocyte-derived macrophages (MDMs) by phosphoproteomics, transcriptional profiling, measurement of intracellular Ca2+ accumulation and reactive oxygen species production in conjunction with bioinformatic analyses. Functional effects were investigated by actin filament staining, quantification of macropinocytosis and analysis of extracellular vesicle release. -
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. -
Clinical Characterization of Chromosome 5Q21.1–21.3 Microduplication: a Case Report
Open Medicine 2020; 15: 1123–1127 Case Report Shuang Chen, Yang Yu, Han Zhang, Leilei Li, Yuting Jiang, Ruizhi Liu, Hongguo Zhang* Clinical characterization of chromosome 5q21.1–21.3 microduplication: A case report https://doi.org/10.1515/med-2020-0199 Keywords: chromosome 5, prenatal diagnosis, microdu- received May 20, 2020; accepted September 28, 2020 plication, genetic counseling Abstract: Chromosomal microdeletions and microdupli- cations likely represent the main genetic etiologies for children with developmental delay or intellectual dis- ability. Through prenatal chromosomal microarray ana- 1 Introduction lysis, some microdeletions or microduplications can be detected before birth to avoid unnecessary abortions or Chromosomal microdeletions,microduplications,and birth defects. Although some microdeletions or microdu- unbalanced rearrangements represent the main genetic plications of chromosome 5 have been reported, nu- etiological factors for children with developmental delay [ ] - merous microduplications remain undescribed. We de- or intellectual disability 1 . Currently, chromosomal mi ( ) fi - - scribe herein a case of a 30-year-old woman carrying a croarray analysis CMA is considered a rst tier diag [ ] - fetus with a chromosome 5q21.1–q21.3 microduplication. nostic tool for these children 2 . Through prenatal diag Because noninvasive prenatal testing indicated a fetal nosis of CMA, some microdeletions or microduplications - chromosome 5 abnormality, the patient underwent am- can be detected before birth to avoid unnecessary abor [ ] niocentesis at 22 weeks 4 days of gestation. Karyotyping tions or birth defects 3 . The clinical features of some and chromosomal microarray analysis were performed on chromosome 5 microduplications have been described [ – ] [ ] amniotic fluid cells. Fetal behavioral and structural ab- previously 4 8 . -
Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis
Getting “Under the Skin”: Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis by Kristen Monét Brown A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Epidemiological Science) in the University of Michigan 2017 Doctoral Committee: Professor Ana V. Diez-Roux, Co-Chair, Drexel University Professor Sharon R. Kardia, Co-Chair Professor Bhramar Mukherjee Assistant Professor Belinda Needham Assistant Professor Jennifer A. Smith © Kristen Monét Brown, 2017 [email protected] ORCID iD: 0000-0002-9955-0568 Dedication I dedicate this dissertation to my grandmother, Gertrude Delores Hampton. Nanny, no one wanted to see me become “Dr. Brown” more than you. I know that you are standing over the bannister of heaven smiling and beaming with pride. I love you more than my words could ever fully express. ii Acknowledgements First, I give honor to God, who is the head of my life. Truly, without Him, none of this would be possible. Countless times throughout this doctoral journey I have relied my favorite scripture, “And we know that all things work together for good, to them that love God, to them who are called according to His purpose (Romans 8:28).” Secondly, I acknowledge my parents, James and Marilyn Brown. From an early age, you two instilled in me the value of education and have been my biggest cheerleaders throughout my entire life. I thank you for your unconditional love, encouragement, sacrifices, and support. I would not be here today without you. I truly thank God that out of the all of the people in the world that He could have chosen to be my parents, that He chose the two of you. -
Cell-Specific Bioorthogonal Tagging of Glycoproteins in Co- Culture
Cell-specific Bioorthogonal Tagging of Glycoproteins in Co- culture Supporting Information Supporting Figures Experimentals Anna Ciocea,b, Beatriz Callea,b, Andrea Marchesia,b, Ganka Bineva-Toddb, Helen Flynnc, Zhen Lia,b, Omur Y. Tastanb, Chloe Roustand, Tessa Keenane, Peter Bothf, Kun Huangf, Fabio Parmeggianif, Ambrosius P. Snijdersc, Svend Kjaerd, Martin A. Fascionee, Sabine Flitschf, Benjamin Schumanna,b,* aDepartment of Chemistry, Imperial College London, 80 Wood Lane, W12 0BZ, London, United Kingdom. bThe Chemical Glycobiology Laboratory, The Francis Crick Institute, 1 Midland Rd, NW1 1AT London, United Kingdom. cProteomics Science Technology Platform, The Francis Crick Institute, NW1 1AT London, United Kingdom. dStructural Biology Science Technology Platform, The Francis Crick Institute, NW1 1AT London, United Kingdom. eDepartment of Chemistry, University of York, YO10 5DD York, United Kingdom. fManchester Institute of Biotechnology & School of Chemistry, The University of Manchester, M1 7DN Manchester, United Kingdom. *Correspondence should be addressed to: [email protected]. Supporting Figures Fig. S1: Active site architectures of human enzymes of the GalNAc salvage pathway. In AGX1, the N-acyl side chain in UDP-GalNAc is in proximity to Phe381 and Phe383. In GALK2, the N-acyl side chain of GalNAc-1-phosphate is in proximity with amino acids forming a hydrogen network (Glu179, Ser147 and Ser148). 2 Fig. S2: Evaluation of enzymatic turnover of GalN6yne-Based metabolites. A, in vitro UDP- sugar formation by AGX1 after 2 h incubation, as assessed by LC-MS. Data are means ± SD from three independent experiments. B, in vitro GalN6yne-1-phosphate formation by human and bacterial GalNAc kinases, as assessed by LC-MS and integrated ion count.