Associations of Single Nucleotide Polymorphisms with Mucinous Colorectal Cancer: Genome-Wide Common Variant and Gene-Based Rare Variant Analyses Michelle E
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BRIEF COMMUNICATION www.jasn.org Renal Fanconi Syndrome and Hypophosphatemic Rickets in the Absence of Xenotropic and Polytropic Retroviral Receptor in the Nephron Camille Ansermet,* Matthias B. Moor,* Gabriel Centeno,* Muriel Auberson,* † † ‡ Dorothy Zhang Hu, Roland Baron, Svetlana Nikolaeva,* Barbara Haenzi,* | Natalya Katanaeva,* Ivan Gautschi,* Vladimir Katanaev,*§ Samuel Rotman, Robert Koesters,¶ †† Laurent Schild,* Sylvain Pradervand,** Olivier Bonny,* and Dmitri Firsov* BRIEF COMMUNICATION *Department of Pharmacology and Toxicology and **Genomic Technologies Facility, University of Lausanne, Lausanne, Switzerland; †Department of Oral Medicine, Infection, and Immunity, Harvard School of Dental Medicine, Boston, Massachusetts; ‡Institute of Evolutionary Physiology and Biochemistry, St. Petersburg, Russia; §School of Biomedicine, Far Eastern Federal University, Vladivostok, Russia; |Services of Pathology and ††Nephrology, Department of Medicine, University Hospital of Lausanne, Lausanne, Switzerland; and ¶Université Pierre et Marie Curie, Paris, France ABSTRACT Tight control of extracellular and intracellular inorganic phosphate (Pi) levels is crit- leaves.4 Most recently, Legati et al. have ical to most biochemical and physiologic processes. Urinary Pi is freely filtered at the shown an association between genetic kidney glomerulus and is reabsorbed in the renal tubule by the action of the apical polymorphisms in Xpr1 and primary fa- sodium-dependent phosphate transporters, NaPi-IIa/NaPi-IIc/Pit2. However, the milial brain calcification disorder.5 How- molecular identity of the protein(s) participating in the basolateral Pi efflux remains ever, the role of XPR1 in the maintenance unknown. Evidence has suggested that xenotropic and polytropic retroviral recep- of Pi homeostasis remains unknown. Here, tor 1 (XPR1) might be involved in this process. Here, we show that conditional in- we addressed this issue in mice deficient for activation of Xpr1 in the renal tubule in mice resulted in impaired renal Pi Xpr1 in the nephron. -
CCDC109B (MCUB) (NM 017918) Human Untagged Clone 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 SC327798 CCDC109B (MCUB) (NM_017918) Human Untagged Clone Product data: Product Type: Expression Plasmids Product Name: CCDC109B (MCUB) (NM_017918) Human Untagged Clone Tag: Tag Free Symbol: MCUB Synonyms: CCDC109B Vector: pCMV6-Entry (PS100001) E. coli Selection: Kanamycin (25 ug/mL) Cell Selection: Neomycin Fully Sequenced ORF: >OriGene SC327798 ORF sequence for NM_017918, the custom clone sequence may differ by one or more nucleotides ATGTTGTCAACAGTTGGTTCATTCCTTCAGGACCTACAAAATGAAGATAAGGGTATCAAAACTGCAGCCA TCTTCACAGCAGATGGCAACATGATTTCAGCTTCTACCTTGATGGATATTTTGCTAATGAATGATTTTAA ACTTGTCATTAATAAAATAGCATATGATGTGCAGTGTCCAAAGAGAGAAAAACCAAGTAATGAGCACACT GCTGAGATGGAACACATGAAATCCTTGGTTCACAGACTATTTACAATCTTGCATTTAGAAGAGTCTCAGA AAAAGAGAGAGCACCATTTACTGGAGAAAATTGACCACCTGAAGGAACAGCTGCAGCCCCTTGAACAGGT GAAAGCTGGAATAGAAGCTCATTCGGAAGCCAAAACCAGTGGACTCCTGTGGGCTGGATTGGCACTGCTG TCCATTCAGGGTGGGGCACTGGCCTGGCTCACGTGGTGGGTGTACTCCTGGGATATCATGGAGCCAGTTA CATACTTCATCACATTTGCAAATTCTATGGTCTTTTTTGCATACTTTATAGTCACTCGACAGGATTATAC TTACTCAGCTGTTAAGAGTAGGCAATTTCTTCAGTTCTTCCACAAGAAATCAAAGCAACAGCACTTTGAT GTGCAGCAATACAACAAGTTAAAAGAAGACCTTGCTAAGGCTAAAGAATCCCTGAAACAGGCGCGTCATT CTCTCTGTTTGCAAATGCAAGTAGAAGAACTCAATGAAAAGAATTAA Restriction Sites: SgfI-MluI ACCN: NM_017918 OTI Disclaimer: Our molecular clone sequence data has been matched to the reference identifier above as a point -
No Evidence of Association Between Complement Factor I Genetic Variant
European Journal of Human Genetics (2012) 20, 1–3 & 2012 Macmillan Publishers Limited All rights reserved 1018-4813/12 www.nature.com/ejhg LETTERS US-based sample of around 1200 cases with advanced AMD and No evidence of association 800 controls. The association signal extended over a region of about 175 kb, the most associated variant (Po10À7)beingtheSNP rs10033900 near the complement factor I (CFI) gene. Two replication between complement studies2,3 published also in this journal provided some additional support for an AMD susceptibility locus in this region. In the course factor I genetic variant of candidate gene studies of AMD, we had previously investigated SNPs spanning CFI including rs10033900 in a UK case–control rs10033900 and sample, which shows the expected associations with the well- established AMD-susceptibility loci CFH, ARMS2, CFB and C3.No age-related macular evidence of association with the CFI variants was observed. Following publication of the reports cited above we have typed rs10033900 degeneration in additional cases and controls in two independent samples from England and Scotland to investigate this further. Full details of the phenotyping criteria have been reported pre- viously.4 The English sample comprised of 859 cases with predomi- European Journal of Human Genetics (2012) 20, 1–2; nantly advanced AMD, either geographic atrophy (GA) or choroidal doi:10.1038/ejhg.2011.118; published online 12 October 2011 neovascularisation (CNV) and 423 examined controls. The Scottish sample consisted of 505 cases with either intermediate disease (age-related maculopathy, ARM) or advanced AMD, and 351 exam- In 2008, an association between age-related macular degeneration ined controls. -
Stelios Pavlidis3, Matthew Loza3, Fred Baribaud3, Anthony
Supplementary Data Th2 and non-Th2 molecular phenotypes of asthma using sputum transcriptomics in UBIOPRED Chih-Hsi Scott Kuo1.2, Stelios Pavlidis3, Matthew Loza3, Fred Baribaud3, Anthony Rowe3, Iaonnis Pandis2, Ana Sousa4, Julie Corfield5, Ratko Djukanovic6, Rene 7 7 8 2 1† Lutter , Peter J. Sterk , Charles Auffray , Yike Guo , Ian M. Adcock & Kian Fan 1†* # Chung on behalf of the U-BIOPRED consortium project team 1Airways Disease, National Heart & Lung Institute, Imperial College London, & Biomedical Research Unit, Biomedical Research Unit, Royal Brompton & Harefield NHS Trust, London, United Kingdom; 2Department of Computing & Data Science Institute, Imperial College London, United Kingdom; 3Janssen Research and Development, High Wycombe, Buckinghamshire, United Kingdom; 4Respiratory Therapeutic Unit, GSK, Stockley Park, United Kingdom; 5AstraZeneca R&D Molndal, Sweden and Areteva R&D, Nottingham, United Kingdom; 6Faculty of Medicine, Southampton University, Southampton, United Kingdom; 7Faculty of Medicine, University of Amsterdam, Amsterdam, Netherlands; 8European Institute for Systems Biology and Medicine, CNRS-ENS-UCBL, Université de Lyon, France. †Contributed equally #Consortium project team members are listed under Supplementary 1 Materials *To whom correspondence should be addressed: [email protected] 2 List of the U-BIOPRED Consortium project team members Uruj Hoda & Christos Rossios, Airways Disease, National Heart & Lung Institute, Imperial College London, UK & Biomedical Research Unit, Biomedical Research Unit, Royal -
Primate Specific Retrotransposons, Svas, in the Evolution of Networks That Alter Brain Function
Title: Primate specific retrotransposons, SVAs, in the evolution of networks that alter brain function. Olga Vasieva1*, Sultan Cetiner1, Abigail Savage2, Gerald G. Schumann3, Vivien J Bubb2, John P Quinn2*, 1 Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, U.K 2 Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK 3 Division of Medical Biotechnology, Paul-Ehrlich-Institut, Langen, D-63225 Germany *. Corresponding author Olga Vasieva: Institute of Integrative Biology, Department of Comparative genomics, University of Liverpool, Liverpool, L69 7ZB, [email protected] ; Tel: (+44) 151 795 4456; FAX:(+44) 151 795 4406 John Quinn: Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK, [email protected]; Tel: (+44) 151 794 5498. Key words: SVA, trans-mobilisation, behaviour, brain, evolution, psychiatric disorders 1 Abstract The hominid-specific non-LTR retrotransposon termed SINE–VNTR–Alu (SVA) is the youngest of the transposable elements in the human genome. The propagation of the most ancient SVA type A took place about 13.5 Myrs ago, and the youngest SVA types appeared in the human genome after the chimpanzee divergence. Functional enrichment analysis of genes associated with SVA insertions demonstrated their strong link to multiple ontological categories attributed to brain function and the disorders. SVA types that expanded their presence in the human genome at different stages of hominoid life history were also associated with progressively evolving behavioural features that indicated a potential impact of SVA propagation on a cognitive ability of a modern human. -
Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002) -
DHRS2 Polyclonal Antibody Product Information
DHRS2 Polyclonal Antibody Cat #: ABP51170 Size: 30μl /100μl /200μl Product Information Product Name: DHRS2 Polyclonal Antibody Applications: WB, ELISA Isotype: Rabbit IgG Reactivity: Human, Mouse Catalog Number: ABP51170 Lot Number: Refer to product label Formulation: Liquid Concentration: 1 mg/ml Storage: Store at -20°C. Avoid repeated Note: Contain sodium azide. freeze / thaw cycles. Background: DHRS2 (dehydrogenase/reductase (SDR family) member 2), also known as SDR25C1 or HEP27, is a 258 amino acid protein that localizes to the nucleus and belongs to the short-chain dehydrogenase/reductase (SDR) family. Functioning as an NADPH-dependent dicarbonyl reductase, DHRS2 is thought to inhibit cell replication by either converting cortisone in cortisol, or by catalyzing the oxidation of androgen and estrogen. The gene encoding DHRS2 maps to human chromosome 14, which houses over 700 genes and comprises nearly 3.5% of the human genome. Chromosome 14 encodes the presinilin 1 (PSEN1) gene, which is one of the three key genes associated with the development of Alzheimer's disease (AD). The SERPINA1 gene is also located on chromosome 14 and, when defective, leads to the genetic disorder α1- antitrypsin deficiency, which is characterized by severe lung complications and liver dysfunction. Application Notes: Optimal working dilutions should be determined experimentally by the investigator. Suggested starting dilutions are as follows: WB (1:500-1:2000), ELISA (1:40000). Not yet tested in other applications. Storage Buffer: PBS containing 50% Glycerol, 0.5% BSA and 0.02% Sodium Azide. Storage Instructions: Stable for one year at -20°C from date of shipment. For maximum recovery of product, centrifuge the original vial after thawing and prior to removing the cap. -
Consequences of Mutations in the Genes of the ER Export Machinery COPII in Vertebrates
Biomedical Sciences Publications Biomedical Sciences 1-22-2020 Consequences of mutations in the genes of the ER export machinery COPII in vertebrates Chung-Ling Lu Iowa State University, [email protected] Jinoh Kim Iowa State University, [email protected] Follow this and additional works at: https://lib.dr.iastate.edu/bms_pubs Part of the Cellular and Molecular Physiology Commons, Molecular Biology Commons, and the Molecular Genetics Commons The complete bibliographic information for this item can be found at https://lib.dr.iastate.edu/ bms_pubs/81. For information on how to cite this item, please visit http://lib.dr.iastate.edu/ howtocite.html. This Article is brought to you for free and open access by the Biomedical Sciences at Iowa State University Digital Repository. It has been accepted for inclusion in Biomedical Sciences Publications by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Consequences of mutations in the genes of the ER export machinery COPII in vertebrates Abstract Coat protein complex II (COPII) plays an essential role in the export of cargo molecules such as secretory proteins, membrane proteins, and lipids from the endoplasmic reticulum (ER). In yeast, the COPII machinery is critical for cell viability as most COPII knockout mutants fail to survive. In mice and fish, homozygous knockout mutants of most COPII genes are embryonic lethal, reflecting the essentiality of the COPII machinery in the early stages of vertebrate development. In humans, COPII mutations, which are often hypomorphic, cause diseases having distinct clinical features. This is interesting as the fundamental cellular defect of these diseases, that is, failure of ER export, is similar. -
Bud13 Promotes a Type I Interferon Response by Countering Intron
bioRxiv preprint doi: https://doi.org/10.1101/443820; this version posted October 15, 2018. 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. 1 2 3 4 5 6 7 8 9 Bud13 Promotes a Type I Interferon Response by 10 Countering Intron Retention in Irf7 11 12 13 Luke S. Frankiw1,2, Devdoot Majumdar1,2, Christian Burns1, Logan Vlach1, Annie Moradian1, 14 Michael J. Sweredoski1, David Baltimore1,3* 15 16 1Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, 17 USA 18 2These authors contributed equally 19 3Lead Contact 20 *Correspondence: [email protected] 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 bioRxiv preprint doi: https://doi.org/10.1101/443820; this version posted October 15, 2018. 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. 53 SUMMARY 54 55 Intron retention (IR) has emerged as an important mechanism of gene expression control. Despite 56 this, the factors that control IR events remain poorly understood. We observed consistent IR in one 57 intron of the Irf7 gene and identified Bud13 as an RNA-binding protein that acts at this intron to 58 increase the amount of successful splicing. Deficiency in Bud13 led to increased IR, decreased 59 mature Irf7 transcript and protein levels, and consequently to a dampened type I interferon 60 response. -
ER-To-Golgi Trafficking and Its Implication in Neurological Diseases
cells Review ER-to-Golgi Trafficking and Its Implication in Neurological Diseases 1,2, 1,2 1,2, Bo Wang y, Katherine R. Stanford and Mondira Kundu * 1 Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA; [email protected] (B.W.); [email protected] (K.R.S.) 2 Department of Cell and Molecular Biology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA * Correspondence: [email protected]; Tel.: +1-901-595-6048 Present address: School of Life Sciences, Xiamen University, Xiamen 361102, China. y Received: 21 November 2019; Accepted: 7 February 2020; Published: 11 February 2020 Abstract: Membrane and secretory proteins are essential for almost every aspect of cellular function. These proteins are incorporated into ER-derived carriers and transported to the Golgi before being sorted for delivery to their final destination. Although ER-to-Golgi trafficking is highly conserved among eukaryotes, several layers of complexity have been added to meet the increased demands of complex cell types in metazoans. The specialized morphology of neurons and the necessity for precise spatiotemporal control over membrane and secretory protein localization and function make them particularly vulnerable to defects in trafficking. This review summarizes the general mechanisms involved in ER-to-Golgi trafficking and highlights mutations in genes affecting this process, which are associated with neurological diseases in humans. Keywords: COPII trafficking; endoplasmic reticulum; Golgi apparatus; neurological disease 1. Overview Approximately one-third of all proteins encoded by the mammalian genome are exported from the endoplasmic reticulum (ER) and transported to the Golgi apparatus, where they are sorted for delivery to their final destination in membrane compartments or secretory vesicles [1]. -
Improved Detection of Gene Fusions by Applying Statistical Methods Reveals New Oncogenic RNA Cancer Drivers
bioRxiv preprint doi: https://doi.org/10.1101/659078; this version posted June 3, 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. Improved detection of gene fusions by applying statistical methods reveals new oncogenic RNA cancer drivers Roozbeh Dehghannasiri1, Donald Eric Freeman1,2, Milos Jordanski3, Gillian L. Hsieh1, Ana Damljanovic4, Erik Lehnert4, Julia Salzman1,2,5* Author affiliation 1Department of Biochemistry, Stanford University, Stanford, CA 94305 2Department of Biomedical Data Science, Stanford University, Stanford, CA 94305 3Department of Computer Science, University of Belgrade, Belgrade, Serbia 4Seven Bridges Genomics, Cambridge, MA 02142 5Stanford Cancer Institute, Stanford, CA 94305 *Corresponding author [email protected] Short Abstract: The extent to which gene fusions function as drivers of cancer remains a critical open question. Current algorithms do not sufficiently identify false-positive fusions arising during library preparation, sequencing, and alignment. Here, we introduce a new algorithm, DEEPEST, that uses statistical modeling to minimize false-positives while increasing the sensitivity of fusion detection. In 9,946 tumor RNA-sequencing datasets from The Cancer Genome Atlas (TCGA) across 33 tumor types, DEEPEST identifies 31,007 fusions, 30% more than identified by other methods, while calling ten-fold fewer false-positive fusions in non-transformed human tissues. We leverage the increased precision of DEEPEST to discover new cancer biology. For example, 888 new candidate oncogenes are identified based on over-representation in DEEPEST-Fusion calls, and 1,078 previously unreported fusions involving long intergenic noncoding RNAs partners, demonstrating a previously unappreciated prevalence and potential for function. -
Genomic and Expression Profiling of Human Spermatocytic Seminomas: Primary Spermatocyte As Tumorigenic Precursor and DMRT1 As Candidate Chromosome 9 Gene
Research Article Genomic and Expression Profiling of Human Spermatocytic Seminomas: Primary Spermatocyte as Tumorigenic Precursor and DMRT1 as Candidate Chromosome 9 Gene Leendert H.J. Looijenga,1 Remko Hersmus,1 Ad J.M. Gillis,1 Rolph Pfundt,4 Hans J. Stoop,1 Ruud J.H.L.M. van Gurp,1 Joris Veltman,1 H. Berna Beverloo,2 Ellen van Drunen,2 Ad Geurts van Kessel,4 Renee Reijo Pera,5 Dominik T. Schneider,6 Brenda Summersgill,7 Janet Shipley,7 Alan McIntyre,7 Peter van der Spek,3 Eric Schoenmakers,4 and J. Wolter Oosterhuis1 1Department of Pathology, Josephine Nefkens Institute; Departments of 2Clinical Genetics and 3Bioinformatics, Erasmus Medical Center/ University Medical Center, Rotterdam, the Netherlands; 4Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; 5Howard Hughes Medical Institute, Whitehead Institute and Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts; 6Clinic of Paediatric Oncology, Haematology and Immunology, Heinrich-Heine University, Du¨sseldorf, Germany; 7Molecular Cytogenetics, Section of Molecular Carcinogenesis, The Institute of Cancer Research, Sutton, Surrey, United Kingdom Abstract histochemistry, DMRT1 (a male-specific transcriptional regulator) was identified as a likely candidate gene for Spermatocytic seminomas are solid tumors found solely in the involvement in the development of spermatocytic seminomas. testis of predominantly elderly individuals. We investigated these tumors using a genome-wide analysis for structural and (Cancer Res 2006; 66(1): 290-302) numerical chromosomal changes through conventional kar- yotyping, spectral karyotyping, and array comparative Introduction genomic hybridization using a 32 K genomic tiling-path Spermatocytic seminomas are benign testicular tumors that resolution BAC platform (confirmed by in situ hybridization).