Mouse Nav2 Conditional Knockout Project (CRISPR/Cas9)

Total Page:16

File Type:pdf, Size:1020Kb

Mouse Nav2 Conditional Knockout Project (CRISPR/Cas9) https://www.alphaknockout.com Mouse Nav2 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Nav2 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Nav2 gene (NCBI Reference Sequence: NM_175272 ; Ensembl: ENSMUSG00000052512 ) is located on Mouse chromosome 7. 39 exons are identified, with the ATG start codon in exon 1 and the TGA stop codon in exon 39 (Transcript: ENSMUST00000184945). Exon 3 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Nav2 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP24-254C4 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Homozygous null mice display impaired olfaction and hearing, increased latency in a hot plate test, degeneration of the optic nerve, decreased exploration in new environments, and weight loss. Exon 3 starts from about 5.17% of the coding region. The knockout of Exon 3 will result in frameshift of the gene. The size of intron 2 for 5'-loxP site insertion: 10101 bp, and the size of intron 3 for 3'-loxP site insertion: 25713 bp. The size of effective cKO region: ~553 bp. The cKO region does not have any other known gene. Page 1 of 8 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele gRNA region 5' gRNA region 3' 1 3 39 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Nav2 Homology arm cKO region loxP site Page 2 of 8 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. No significant tandem repeat is found in the dot plot matrix. So this region is suitable for PCR screening or sequencing analysis. Overview of the GC Content Distribution Window size: 300 bp Sequence 12 Summary: Full Length(7053bp) | A(24.85% 1753) | C(23.08% 1628) | T(28.7% 2024) | G(23.37% 1648) Note: The sequence of homologous arms and cKO region is analyzed to determine the GC content. No significant high GC-content region is found. So this region is suitable for PCR screening or sequencing analysis. Page 3 of 8 https://www.alphaknockout.com BLAT Search Results (up) QUERY SCORE START END QSIZE IDENTITY CHROM STRAND START END SPAN ----------------------------------------------------------------------------------------------- browser details YourSeq 3000 1 3000 3000 100.0% chr7 + 49369068 49372067 3000 browser details YourSeq 49 1539 1600 3000 93.0% chr14 + 122458984 122459047 64 browser details YourSeq 47 1539 1600 3000 91.3% chr11 - 56460355 56460418 64 browser details YourSeq 46 1520 1586 3000 92.6% chr1 + 136737288 136737389 102 browser details YourSeq 43 1546 1647 3000 90.6% chr3 + 95082980 95083131 152 browser details YourSeq 41 1540 1586 3000 93.7% chr15 + 102800641 102800687 47 browser details YourSeq 39 1544 1586 3000 90.5% chr2 + 32558516 32558557 42 browser details YourSeq 38 1530 1578 3000 93.2% chr1 - 59433465 59433523 59 browser details YourSeq 37 1544 1604 3000 95.2% chr7 - 78866927 78866991 65 browser details YourSeq 37 1524 1582 3000 93.1% chrX + 37181132 37181536 405 browser details YourSeq 36 1545 1586 3000 92.9% chr7 - 79233508 79233549 42 browser details YourSeq 36 1538 1577 3000 92.2% chr16 - 20113121 20113159 39 browser details YourSeq 36 1545 1586 3000 92.9% chr9 + 71528461 71528502 42 browser details YourSeq 35 1544 1584 3000 92.7% chr10 + 57646423 57646463 41 browser details YourSeq 34 1547 1586 3000 92.5% chr17 - 45354808 45354847 40 browser details YourSeq 34 1547 1586 3000 92.5% chr11 - 113425218 113425257 40 browser details YourSeq 34 1547 1586 3000 92.5% chr1 - 110921097 110921136 40 browser details YourSeq 34 1547 1586 3000 92.5% chr1 - 54528788 54528827 40 browser details YourSeq 34 1547 1586 3000 92.5% chrX + 22771160 22771199 40 browser details YourSeq 34 1544 1586 3000 85.0% chr9 + 80163680 80163720 41 Note: The 3000 bp section upstream of Exon 3 is BLAT searched against the genome. No significant similarity is found. BLAT Search Results (down) QUERY SCORE START END QSIZE IDENTITY CHROM STRAND START END SPAN ----------------------------------------------------------------------------------------------- browser details YourSeq 3000 1 3000 3000 100.0% chr7 + 49372621 49375620 3000 browser details YourSeq 40 620 671 3000 97.7% chr3 + 18765623 18765816 194 browser details YourSeq 37 620 670 3000 85.8% chr5 - 128910918 128910966 49 browser details YourSeq 37 620 671 3000 97.5% chr3 - 156642434 156642486 53 browser details YourSeq 33 620 669 3000 97.3% chr5 - 111730242 111730398 157 browser details YourSeq 33 620 671 3000 97.2% chr5 + 119728815 119728950 136 browser details YourSeq 32 620 667 3000 97.1% chr2 - 171534765 171534812 48 browser details YourSeq 31 620 669 3000 97.0% chr13 - 40262702 40262765 64 browser details YourSeq 31 620 669 3000 86.2% chr17 + 81860762 81860809 48 browser details YourSeq 31 627 665 3000 89.8% chr17 + 63899798 63899836 39 browser details YourSeq 30 627 669 3000 75.0% chr3 + 68704097 68704129 33 browser details YourSeq 29 620 666 3000 68.8% chr17 + 13388494 13388526 33 browser details YourSeq 28 636 667 3000 96.7% chr3 - 79245573 79245606 34 browser details YourSeq 24 643 669 3000 84.0% chr17 - 43491204 43491228 25 browser details YourSeq 22 1586 1627 3000 76.2% chr10 - 46897280 46897321 42 browser details YourSeq 21 620 644 3000 92.0% chr5 - 146725903 146725927 25 browser details YourSeq 20 620 639 3000 100.0% chr15 + 94976470 94976489 20 Note: The 3000 bp section downstream of Exon 3 is BLAT searched against the genome. No significant similarity is found. Page 4 of 8 https://www.alphaknockout.com Gene and protein information: Nav2 neuron navigator 2 [ Mus musculus (house mouse) ] Gene ID: 78286, updated on 12-Aug-2019 Gene summary Official Symbol Nav2 provided by MGI Official Full Name neuron navigator 2 provided by MGI Primary source MGI:MGI:2183691 See related Ensembl:ENSMUSG00000052512 Gene type protein coding RefSeq status VALIDATED Organism Mus musculus Lineage Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Euarchontoglires; Glires; Rodentia; Myomorpha; Muroidea; Muridae; Murinae; Mus; Mus Also known as HELAD1; RAINB1; RAINB2; POMFIL2; Unc53H2; AU067780; BQ960892; mKIAA3015; 5330421F07Rik Expression Ubiquitous expression in genital fat pad adult (RPKM 5.2), lung adult (RPKM 4.6) and 28 other tissues See more Orthologs human all Genomic context Location: 7; 7 B4 See Nav2 in Genome Data Viewer Exon count: 53 Annotation release Status Assembly Chr Location 108 current GRCm38.p6 (GCF_000001635.26) 7 NC_000073.6 (48959063..49610090) Build 37.2 previous assembly MGSCv37 (GCF_000001635.18) 7 NC_000073.5 (56214443..56865458) Chromosome 7 - NC_000073.6 Page 5 of 8 https://www.alphaknockout.com Transcript information: This gene has 18 transcripts Gene: Nav2 ENSMUSG00000052512 Description neuron navigator 2 [Source:MGI Symbol;Acc:MGI:2183691] Gene Synonyms 5330421F07Rik, HELAD1, POMFIL2, RAINB2, Rainb1, Unc53H2 Location Chromosome 7: 48,908,716-49,610,090 forward strand. GRCm38:CM001000.2 About this gene This gene has 18 transcripts (splice variants), 216 orthologues, 2 paralogues, is a member of 1 Ensembl protein family and is associated with 25 phenotypes. Transcripts Name Transcript ID bp Protein Translation ID Biotype CCDS UniProt Flags Nav2- ENSMUST00000184945.7 10665 2432aa ENSMUSP00000139045.1 Protein coding CCDS71973 V9GX91 TSL:5 216 GENCODE basic APPRIS P4 Nav2- ENSMUST00000183659.7 7765 2371aa ENSMUSP00000139309.1 Protein coding CCDS71972 V9GXT3 TSL:5 204 GENCODE basic APPRIS ALT2 Nav2- ENSMUST00000064395.12 11317 2432aa ENSMUSP00000067448.6 Protein coding - E9Q842 TSL:5 202 GENCODE basic APPRIS ALT2 Nav2- ENSMUST00000184109.1 890 296aa ENSMUSP00000138846.1 Protein coding - V9GWV3 CDS 5' and 3' 207 incomplete TSL:3 Nav2- ENSMUST00000207743.1 431 116aa ENSMUSP00000159080.1 Protein coding - - CDS 3' incomplete 218 TSL:3 Nav2- ENSMUST00000184124.7 5339 103aa ENSMUSP00000139312.1 Nonsense mediated - V9GXT5 TSL:1 208 decay Nav2- ENSMUST00000183531.1 4144 No - Retained intron - - TSL:1 203 protein Nav2- ENSMUST00000184928.7 3439 No - Retained intron - - TSL:1 215 protein Nav2- ENSMUST00000064383.6 3224 No - Retained intron - - TSL:1 201 protein Nav2- ENSMUST00000184544.1 2839 No - Retained intron - - TSL:NA 213 protein Nav2- ENSMUST00000184809.7 2265 No - Retained intron - - TSL:1 214 protein Nav2- ENSMUST00000184462.1 1664 No - Retained intron - - TSL:NA 211 protein Nav2- ENSMUST00000184471.1 1584 No - Retained intron - - TSL:NA 212 protein Nav2- ENSMUST00000184102.1 1466 No - Retained intron - - TSL:NA 206 protein Nav2- ENSMUST00000183715.1 1290 No - Retained intron - - TSL:2 205 protein Nav2- ENSMUST00000184955.7 1920 No - lncRNA - - TSL:1 217 protein Nav2- ENSMUST00000184155.1 1495 No - lncRNA - - TSL:1 209 protein Nav2- ENSMUST00000184336.1 483 No - lncRNA - - TSL:3 210 protein Page 6 of 8 https://www.alphaknockout.com 721.38 kb Forward strand 49.0Mb 49.2Mb 49.4Mb 49.6Mb Genes (Comprehensive set... Gm2788-205 >lncRNA Gm32849-201 >lncRNA Gm37613-201 >TEC Nav2-215 >retained intron Nav2-209 >lncRNA Nav2-213 >retained intron Gm2788-206 >lncRNA Nav2-202 >protein coding Gm2788-207 >lncRNA Nav2-214
Recommended publications
  • Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice
    Loyola University Chicago Loyola eCommons Biology: Faculty Publications and Other Works Faculty Publications 2013 Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice Mihaela Palicev Gunter P. Wagner James P. Noonan Benedikt Hallgrimsson James M. Cheverud Loyola University Chicago, [email protected] Follow this and additional works at: https://ecommons.luc.edu/biology_facpubs Part of the Biology Commons Recommended Citation Palicev, M, GP Wagner, JP Noonan, B Hallgrimsson, and JM Cheverud. "Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice." Genome Biology and Evolution 5(10), 2013. This Article is brought to you for free and open access by the Faculty Publications at Loyola eCommons. It has been accepted for inclusion in Biology: Faculty Publications and Other Works by an authorized administrator of Loyola eCommons. For more information, please contact [email protected]. This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. © Palicev et al., 2013. GBE Genomic Correlates of Relationship QTL Involved in Fore- versus Hind Limb Divergence in Mice Mihaela Pavlicev1,2,*, Gu¨ nter P. Wagner3, James P. Noonan4, Benedikt Hallgrı´msson5,and James M. Cheverud6 1Konrad Lorenz Institute for Evolution and Cognition Research, Altenberg, Austria 2Department of Pediatrics, Cincinnati Children‘s Hospital Medical Center, Cincinnati, Ohio 3Yale Systems Biology Institute and Department of Ecology and Evolutionary Biology, Yale University 4Department of Genetics, Yale University School of Medicine 5Department of Cell Biology and Anatomy, The McCaig Institute for Bone and Joint Health and the Alberta Children’s Hospital Research Institute for Child and Maternal Health, University of Calgary, Calgary, Canada 6Department of Anatomy and Neurobiology, Washington University *Corresponding author: E-mail: [email protected].
    [Show full text]
  • CD56+ T-Cells in Relation to Cytomegalovirus in Healthy Subjects and Kidney Transplant Patients
    CD56+ T-cells in Relation to Cytomegalovirus in Healthy Subjects and Kidney Transplant Patients Institute of Infection and Global Health Department of Clinical Infection, Microbiology and Immunology Thesis submitted in accordance with the requirements of the University of Liverpool for the degree of Doctor in Philosophy by Mazen Mohammed Almehmadi December 2014 - 1 - Abstract Human T cells expressing CD56 are capable of tumour cell lysis following activation with interleukin-2 but their role in viral immunity has been less well studied. The work described in this thesis aimed to investigate CD56+ T-cells in relation to cytomegalovirus infection in healthy subjects and kidney transplant patients (KTPs). Proportions of CD56+ T cells were found to be highly significantly increased in healthy cytomegalovirus-seropositive (CMV+) compared to cytomegalovirus-seronegative (CMV-) subjects (8.38% ± 0.33 versus 3.29%± 0.33; P < 0.0001). In donor CMV-/recipient CMV- (D-/R-)- KTPs levels of CD56+ T cells were 1.9% ±0.35 versus 5.42% ±1.01 in D+/R- patients and 5.11% ±0.69 in R+ patients (P 0.0247 and < 0.0001 respectively). CD56+ T cells in both healthy CMV+ subjects and KTPs expressed markers of effector memory- RA T-cells (TEMRA) while in healthy CMV- subjects and D-/R- KTPs the phenotype was predominantly that of naïve T-cells. Other surface markers, CD8, CD4, CD58, CD57, CD94 and NKG2C were expressed by a significantly higher proportion of CD56+ T-cells in healthy CMV+ than CMV- subjects. Functional studies showed levels of pro-inflammatory cytokines IFN-γ and TNF-α, as well as granzyme B and CD107a were significantly higher in CD56+ T-cells from CMV+ than CMV- subjects following stimulation with CMV antigens.
    [Show full text]
  • Multiple Roles for Unc-53/Nav2 in Cell Migration, Trafficking and Innate Immunity in Caenorhabditis Elegans
    MULTIPLE ROLES FOR UNC-53/NAV2 IN CELL MIGRATION, TRAFFICKING AND INNATE IMMUNITY IN CAENORHABDITIS ELEGANS by Kristopher Lee Schmidt M.Sc., University of British Columbia, 2005 B.Sc., Trinity Western University, 2001 THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in the Department of Molecular Biology and Biochemistry Faculty of Science © Kristopher Lee Schmidt 2012 SIMON FRASER UNIVERSITY Summer 2012 All rights reserved. However, in accordance with the Copyright Act of Canada, this work may be reproduced, without authorization, under the conditions for Fair Dealing. Therefore, limited reproduction of this work for the purposes of private study, research, criticism, review and news reporting is likely to be in accordance with the law, particularly if cited appropriately [Type a quotei from the document or the summary of an interesting point. APPROVAL Name: Kristopher Lee Schmidt Degree: Doctor of Philosophy Title of Thesis: Multiple roles for UNC-53/NAV2 in cell migration, trafficking, and innate immunity in Caenorhabditis elegans. Examining Committee: Chair: Dr. Barry Honda, Ph.D. Dr. Eve Stringham, Ph.D. Professor, Department of Molecular Biology Co-Senior Supervisor and Biochemistry Professor, Department of Biology, Trinity Associate Professor, Department of Western University __________________________________ __________________________________ Dr. Nancy Hawkins, Ph.D. Dr. Christopher Beh, Ph.D. Senior Supervisor Supervisor Associate Professor, Department of Molecular Associate Professor, Department of Molecular Biology and Biochemistry Biology and Biochemistry __________________________________ __________________________________ Dr. Nicholas Harden, Ph.D. Dr. Harald Hutter, Ph.D. Supervisor Internal Examiner Associate Professor, Department of Molecular Professor, Department of Biological Sciences Biology and Biochemistry __________________________________ __________________________________ Dr.
    [Show full text]
  • Role and Regulation of the P53-Homolog P73 in the Transformation of Normal Human Fibroblasts
    Role and regulation of the p53-homolog p73 in the transformation of normal human fibroblasts Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universität Würzburg vorgelegt von Lars Hofmann aus Aschaffenburg Würzburg 2007 Eingereicht am Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Dr. Martin J. Müller Gutachter: Prof. Dr. Michael P. Schön Gutachter : Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt und keine anderen als die angegebenen Hilfsmittel und Quellen verwendet habe. Diese Arbeit wurde weder in gleicher noch in ähnlicher Form in einem anderen Prüfungsverfahren vorgelegt. Ich habe früher, außer den mit dem Zulassungsgesuch urkundlichen Graden, keine weiteren akademischen Grade erworben und zu erwerben gesucht. Würzburg, Lars Hofmann Content SUMMARY ................................................................................................................ IV ZUSAMMENFASSUNG ............................................................................................. V 1. INTRODUCTION ................................................................................................. 1 1.1. Molecular basics of cancer .......................................................................................... 1 1.2. Early research on tumorigenesis ................................................................................. 3 1.3. Developing
    [Show full text]
  • Detailed Characterization of Human Induced Pluripotent Stem Cells Manufactured for Therapeutic Applications
    Stem Cell Rev and Rep DOI 10.1007/s12015-016-9662-8 Detailed Characterization of Human Induced Pluripotent Stem Cells Manufactured for Therapeutic Applications Behnam Ahmadian Baghbaderani 1 & Adhikarla Syama2 & Renuka Sivapatham3 & Ying Pei4 & Odity Mukherjee2 & Thomas Fellner1 & Xianmin Zeng3,4 & Mahendra S. Rao5,6 # The Author(s) 2016. This article is published with open access at Springerlink.com Abstract We have recently described manufacturing of hu- help determine which set of tests will be most useful in mon- man induced pluripotent stem cells (iPSC) master cell banks itoring the cells and establishing criteria for discarding a line. (MCB) generated by a clinically compliant process using cord blood as a starting material (Baghbaderani et al. in Stem Cell Keywords Induced pluripotent stem cells . Embryonic stem Reports, 5(4), 647–659, 2015). In this manuscript, we de- cells . Manufacturing . cGMP . Consent . Markers scribe the detailed characterization of the two iPSC clones generated using this process, including whole genome se- quencing (WGS), microarray, and comparative genomic hy- Introduction bridization (aCGH) single nucleotide polymorphism (SNP) analysis. We compare their profiles with a proposed calibra- Induced pluripotent stem cells (iPSCs) are akin to embryonic tion material and with a reporter subclone and lines made by a stem cells (ESC) [2] in their developmental potential, but dif- similar process from different donors. We believe that iPSCs fer from ESC in the starting cell used and the requirement of a are likely to be used to make multiple clinical products. We set of proteins to induce pluripotency [3]. Although function- further believe that the lines used as input material will be used ally identical, iPSCs may differ from ESC in subtle ways, at different sites and, given their immortal status, will be used including in their epigenetic profile, exposure to the environ- for many years or even decades.
    [Show full text]
  • Nº Ref Uniprot Proteína Péptidos Identificados Por MS/MS 1 P01024
    Document downloaded from http://www.elsevier.es, day 26/09/2021. This copy is for personal use. Any transmission of this document by any media or format is strictly prohibited. Nº Ref Uniprot Proteína Péptidos identificados 1 P01024 CO3_HUMAN Complement C3 OS=Homo sapiens GN=C3 PE=1 SV=2 por 162MS/MS 2 P02751 FINC_HUMAN Fibronectin OS=Homo sapiens GN=FN1 PE=1 SV=4 131 3 P01023 A2MG_HUMAN Alpha-2-macroglobulin OS=Homo sapiens GN=A2M PE=1 SV=3 128 4 P0C0L4 CO4A_HUMAN Complement C4-A OS=Homo sapiens GN=C4A PE=1 SV=1 95 5 P04275 VWF_HUMAN von Willebrand factor OS=Homo sapiens GN=VWF PE=1 SV=4 81 6 P02675 FIBB_HUMAN Fibrinogen beta chain OS=Homo sapiens GN=FGB PE=1 SV=2 78 7 P01031 CO5_HUMAN Complement C5 OS=Homo sapiens GN=C5 PE=1 SV=4 66 8 P02768 ALBU_HUMAN Serum albumin OS=Homo sapiens GN=ALB PE=1 SV=2 66 9 P00450 CERU_HUMAN Ceruloplasmin OS=Homo sapiens GN=CP PE=1 SV=1 64 10 P02671 FIBA_HUMAN Fibrinogen alpha chain OS=Homo sapiens GN=FGA PE=1 SV=2 58 11 P08603 CFAH_HUMAN Complement factor H OS=Homo sapiens GN=CFH PE=1 SV=4 56 12 P02787 TRFE_HUMAN Serotransferrin OS=Homo sapiens GN=TF PE=1 SV=3 54 13 P00747 PLMN_HUMAN Plasminogen OS=Homo sapiens GN=PLG PE=1 SV=2 48 14 P02679 FIBG_HUMAN Fibrinogen gamma chain OS=Homo sapiens GN=FGG PE=1 SV=3 47 15 P01871 IGHM_HUMAN Ig mu chain C region OS=Homo sapiens GN=IGHM PE=1 SV=3 41 16 P04003 C4BPA_HUMAN C4b-binding protein alpha chain OS=Homo sapiens GN=C4BPA PE=1 SV=2 37 17 Q9Y6R7 FCGBP_HUMAN IgGFc-binding protein OS=Homo sapiens GN=FCGBP PE=1 SV=3 30 18 O43866 CD5L_HUMAN CD5 antigen-like OS=Homo
    [Show full text]
  • Deciphering the Molecular Profile of Plaques, Memory Decline And
    ORIGINAL RESEARCH ARTICLE published: 16 April 2014 AGING NEUROSCIENCE doi: 10.3389/fnagi.2014.00075 Deciphering the molecular profile of plaques, memory decline and neuron loss in two mouse models for Alzheimer’s disease by deep sequencing Yvonne Bouter 1†,Tim Kacprowski 2,3†, Robert Weissmann4, Katharina Dietrich1, Henning Borgers 1, Andreas Brauß1, Christian Sperling 4, Oliver Wirths 1, Mario Albrecht 2,5, Lars R. Jensen4, Andreas W. Kuss 4* andThomas A. Bayer 1* 1 Division of Molecular Psychiatry, Georg-August-University Goettingen, University Medicine Goettingen, Goettingen, Germany 2 Department of Bioinformatics, Institute of Biometrics and Medical Informatics, University Medicine Greifswald, Greifswald, Germany 3 Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany 4 Human Molecular Genetics, Department for Human Genetics of the Institute for Genetics and Functional Genomics, Institute for Human Genetics, University Medicine Greifswald, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany 5 Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria Edited by: One of the central research questions on the etiology of Alzheimer’s disease (AD) is the Isidro Ferrer, University of Barcelona, elucidation of the molecular signatures triggered by the amyloid cascade of pathological Spain events. Next-generation sequencing allows the identification of genes involved in disease Reviewed by: Isidro Ferrer, University of Barcelona, processes in an unbiased manner. We have combined this technique with the analysis of Spain two AD mouse models: (1) The 5XFAD model develops early plaque formation, intraneu- Dietmar R. Thal, University of Ulm, ronal Ab aggregation, neuron loss, and behavioral deficits. (2)TheTg4–42 model expresses Germany N-truncated Ab4–42 and develops neuron loss and behavioral deficits albeit without plaque *Correspondence: formation.
    [Show full text]
  • (2019) Exome Chip Meta-Analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use
    Brazel, D. M. et al. (2019) Exome chip meta-analysis fine maps causal variants and elucidates the genetic architecture of rare coding variants in smoking and alcohol use. Biological Psychiatry, 85(11), pp. 946-955. (doi:10.1016/j.biopsych.2018.11.024) There may be differences between this version and the published version. You are advised to consult the publisher’s version if you wish to cite from it. http://eprints.gla.ac.uk/180409/ Deposited on: 2 February 2019 Enlighten – Research publications by members of the University of Glasgow http://eprints.gla.ac.uk 1 Title: Exome chip meta-analysis fine maps causal variants and elucidates the genetic architecture of rare coding variants in smoking and alcohol use. Running Title: Exome Meta-Analysis of Smoking and Alcohol Keywords: Tobacco, Nicotine, Alcohol, GWAS, Heritability, Behavioral Genetics Number of words in abstract: 249 Number of words in main text: 3676 Number of Figures: 0 Number of Tables: 4 Number of Supplemental Materials: One Supplementary Note with eight supplementary tables and four supplementary figures. Authors, in order with affiliation: David M. Brazel* Institute for Behavioral Genetics, University of Colorado Boulder Department of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder Yu Jiang* Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA Jordan M. Hughey* Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA Valérie Turcot Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada Department of Medicine, Faculty of Medicine, Université de Montréal, Montreal, Quebec, H3T 1J4, Canada Xiaowei Zhan Department of Clinical Science, Center for Genetics of Host Defense, University of Texas Southwestern Jian Gong Public Health Sciences Division, Fred Hutchinson Cancer Research Center Chiara Batini Department of Health Sciences, University of Leicester J.
    [Show full text]
  • Molecular Insight Into the Mutation Within Critical Zinc2+-Binding Site in the PAS Domain of Walk in Vancomycin-Intermediate Resistant Staphylococcus Aureus
    Molecular Insight Into the Mutation Within Critical Zinc2+-Binding Site in the PAS Domain of WalK in Vancomycin-Intermediate Resistant Staphylococcus Aureus Neda Baseri Tarbiat Modares University Shahin Najar-Peerayeh ( [email protected] ) Tarbiat Modares University Bita Bakhshi Tarbiat Modares University Research Article Keywords: Antimicrobial Drug Resistance, Vancomycin, Per-Arnt-Sim domain kinase, Sensor Histidine Kinase, Molecular Structures, Binding Site Posted Date: December 23rd, 2020 DOI: https://doi.org/10.21203/rs.3.rs-131302/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/20 Abstract Vancomycin-intermediate resistant Staphylococcus aureus (VISA), one of the common causes of nosocomial infection, is developed by mutations, including in walKR, with unclear molecular mechanisms. Although studies have veried some of these mutations, there are a few studies to pay attention to the importance of molecular modeling of mutations. Here, the Sanger sequencing for comparing gene sequences of WlKR between a VISA and its parental strain revealed mutation WalK- H364R. Structural protein mapping showed that H364R was located in a functional zinc ion coordinating residue within the cytoplasmic Per-Arnt-Sim (PAS) domain. The structural and functional effects of this mutation were analyzed using molecular computational approaches based on the recently determined crystal structures of the PAS domain of S. aureus. WalK-H364R was predicted to destabilize protein and decrease WalK interactions with proteins and nucleic acids. The qRT-PCR method showed downregulation of walKR and WalKR-regulated autolysins, which veried the molecular computational results. Overall, WalK-H364R within a critical metal-coordinating site is linked to VISA development through the walKR gene expression changes as well as the destructive effects on protein.
    [Show full text]
  • SUPPORTING INFORMATION for Regulation of Gene Expression By
    SUPPORTING INFORMATION for Regulation of gene expression by the BLM helicase correlates with the presence of G4 motifs Giang Huong Nguyen1,2, Weiliang Tang3, Ana I. Robles1, Richard P. Beyer4, Lucas T. Gray5, Judith A. Welsh1, Aaron J. Schetter1, Kensuke Kumamoto1,6, Xin Wei Wang1, Ian D. Hickson2,7, Nancy Maizels5, 3,8 1 Raymond J. Monnat, Jr. and Curtis C. Harris 1Laboratory of Human Carcinogenesis, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, U.S.A; 2Department of Medical Oncology, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, U.K.; 3Department of Pathology, University of Washington, Seattle, WA U.S.A.; 4 Center for Ecogenetics and Environmental Health, University of Washington, Seattle, WA U.S.A.; 5Department of Immunology and Department of Biochemistry, University of Washington, Seattle, WA U.S.A.; 6Department of Organ Regulatory Surgery, Fukushima Medical University, Fukushima, Japan; 7Cellular and Molecular Medicine, Nordea Center for Healthy Aging, University of Copenhagen, Denmark; 8Department of Genome Sciences, University of WA, Seattle, WA U.S.A. SI Index: Supporting Information for this manuscript includes the following 19 items. A more detailed Materials and Methods section is followed by 18 Tables and Figures in order of their appearance in the manuscript text: 1) SI Materials and Methods 2) Figure S1. Study design and experimental workflow. 3) Figure S2. Immunoblot verification of BLM depletion from human fibroblasts. 4) Figure S3. PCA of mRNA and miRNA expression in BLM-depleted human fibroblasts. 5) Figure S4. qPCR confirmation of mRNA array data. 6) Table S1. BS patient and control detail.
    [Show full text]
  • An Edge-Based Statistical Analysis of Long Non-Coding RNA Expression
    Tian et al. BMC Med Genomics (2021) 14:36 https://doi.org/10.1186/s12920-021-00882-6 RESEARCH ARTICLE Open Access An edge-based statistical analysis of long non-coding RNA expression profles reveals a negative association between Parkinson’s disease and colon cancer Suyan Tian1* , Mingyue Zhang2 and Zhiming Ma3* Abstract Background: Colon cancer (CC) is one of the most common malignant tumors, while Parkinson’s disease (PD) is the second most common neurodegenerative disorder. Recent accumulating evidence indicates that these two dis- eases are associated with each other. Also, from the perspective of long non-coding RNAs, some well-known genes such as H19 and PVT1 can link these two diseases together. Several studies have shown that patients with PD had a decreased risk of developing CC compared with patients without PD. However, controversies surround the relation- ship between PD and CC, and to date, no concordant conclusion has been drawn. Methods: In this study, we aimed to assess the association between these two diseases based on lncRNA-to-lncRNA interactions. Motivated by the weighted gene co-expression network analysis method, a customized procedure was proposed and used to identify diferentially correlated edges (DCEs) in the respective interaction networks for PD and CC and explore how these two diseases are linked. Results: Of the two sets of DCEs for PD and CC, 16 pairs overlapped. Among them, 15 edges had opposite signs, with positive signs for CC indicating a gain of connectivity, whereas negative signs for PD indicating a loss of connectivity. Conclusions: By using the lncRNA expression profles, and a customized procedure, an answer to the question about how PD and CC are associated is provided.
    [Show full text]
  • De Novo Assembly of a Transcriptome for Calanus Finmarchicus (Crustacea, Copepoda) – the Dominant Zooplankter of the North Atlantic Ocean
    De Novo Assembly of a Transcriptome for Calanus finmarchicus (Crustacea, Copepoda) – The Dominant Zooplankter of the North Atlantic Ocean Petra H. Lenz1*, Vittoria Roncalli1, R. Patrick Hassett2, Le-Shin Wu3, Matthew C. Cieslak1, Daniel K. Hartline1, Andrew E. Christie1* 1 Be´ke´sy Laboratory of Neurobiology, Pacific Biosciences Research Center, University of Hawaii at Manoa, Honolulu, Hawaii, United States of America, 2 Department of Biological Sciences, Ohio University, Athens, Ohio, United States of America, 3 National Center for Genome Analysis Support, UITS, Indiana University, Bloomington, Indiana, United States of America Abstract Assessing the impact of global warming on the food web of the North Atlantic will require difficult-to-obtain physiological data on a key copepod crustacean, Calanus finmarchicus. The de novo transcriptome presented here represents a new resource for acquiring such data. It was produced from multiplexed gene libraries using RNA collected from six developmental stages: embryo, early nauplius (NI-II), late nauplius (NV-VI), early copepodite (CI-II), late copepodite (CV) and adult (CVI) female. Over 400,000,000 paired-end reads (100 base-pairs long) were sequenced on an Illumina instrument, and assembled into 206,041 contigs using Trinity software. Coverage was estimated to be at least 65%. A reference transcriptome comprising 96,090 unique components (‘‘comps’’) was annotated using Blast2GO. 40% of the comps had significant blast hits. 11% of the comps were successfully annotated with gene ontology (GO) terms. Expression of many comps was found to be near zero in one or more developmental stages suggesting that 35 to 48% of the transcriptome is ‘‘silent’’ at any given life stage.
    [Show full text]