Genome-Wide Association Studies in Alzheimer Disease
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Taf7l Cooperates with Trf2 to Regulate Spermiogenesis
Taf7l cooperates with Trf2 to regulate spermiogenesis Haiying Zhoua,b, Ivan Grubisicb,c, Ke Zhengd,e, Ying Heb, P. Jeremy Wangd, Tommy Kaplanf, and Robert Tjiana,b,1 aHoward Hughes Medical Institute and bDepartment of Molecular and Cell Biology, Li Ka Shing Center for Biomedical and Health Sciences, California Institute for Regenerative Medicine Center of Excellence, University of California, Berkeley, CA 94720; cUniversity of California Berkeley–University of California San Francisco Graduate Program in Bioengineering, University of California, Berkeley, CA 94720; dDepartment of Animal Biology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA 19104; eState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 210029, People’s Republic of China; and fSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 91904, Israel Contributed by Robert Tjian, September 11, 2013 (sent for review August 20, 2013) TATA-binding protein (TBP)-associated factor 7l (Taf7l; a paralogue (Taf4b; a homolog of Taf4) (9), TBP-related factor 2 (Trf2) (10, of Taf7) and TBP-related factor 2 (Trf2) are components of the core 11), and Taf7l (12, 13). For example, mice bearing mutant or promoter complex required for gene/tissue-specific transcription deficient CREM showed decreased postmeiotic gene expression of protein-coding genes by RNA polymerase II. Previous studies and defective spermiogenesis (14). Mice deficient in Taf4b, reported that Taf7l knockout (KO) mice exhibit structurally abnor- a testis-specific homolog of Taf4, are initially normal but undergo mal sperm, reduced sperm count, weakened motility, and compro- progressive germ-cell loss and become infertile by 3 mo of age −/Y mised fertility. -
1 Supporting Information for a Microrna Network Regulates
Supporting Information for A microRNA Network Regulates Expression and Biosynthesis of CFTR and CFTR-ΔF508 Shyam Ramachandrana,b, Philip H. Karpc, Peng Jiangc, Lynda S. Ostedgaardc, Amy E. Walza, John T. Fishere, Shaf Keshavjeeh, Kim A. Lennoxi, Ashley M. Jacobii, Scott D. Rosei, Mark A. Behlkei, Michael J. Welshb,c,d,g, Yi Xingb,c,f, Paul B. McCray Jr.a,b,c Author Affiliations: Department of Pediatricsa, Interdisciplinary Program in Geneticsb, Departments of Internal Medicinec, Molecular Physiology and Biophysicsd, Anatomy and Cell Biologye, Biomedical Engineeringf, Howard Hughes Medical Instituteg, Carver College of Medicine, University of Iowa, Iowa City, IA-52242 Division of Thoracic Surgeryh, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada-M5G 2C4 Integrated DNA Technologiesi, Coralville, IA-52241 To whom correspondence should be addressed: Email: [email protected] (M.J.W.); yi- [email protected] (Y.X.); Email: [email protected] (P.B.M.) This PDF file includes: Materials and Methods References Fig. S1. miR-138 regulates SIN3A in a dose-dependent and site-specific manner. Fig. S2. miR-138 regulates endogenous SIN3A protein expression. Fig. S3. miR-138 regulates endogenous CFTR protein expression in Calu-3 cells. Fig. S4. miR-138 regulates endogenous CFTR protein expression in primary human airway epithelia. Fig. S5. miR-138 regulates CFTR expression in HeLa cells. Fig. S6. miR-138 regulates CFTR expression in HEK293T cells. Fig. S7. HeLa cells exhibit CFTR channel activity. Fig. S8. miR-138 improves CFTR processing. Fig. S9. miR-138 improves CFTR-ΔF508 processing. Fig. S10. SIN3A inhibition yields partial rescue of Cl- transport in CF epithelia. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Role of Phytochemicals in Colon Cancer Prevention: a Nutrigenomics Approach
Role of phytochemicals in colon cancer prevention: a nutrigenomics approach Marjan J van Erk Promotor: Prof. Dr. P.J. van Bladeren Hoogleraar in de Toxicokinetiek en Biotransformatie Wageningen Universiteit Co-promotoren: Dr. Ir. J.M.M.J.G. Aarts Universitair Docent, Sectie Toxicologie Wageningen Universiteit Dr. Ir. B. van Ommen Senior Research Fellow Nutritional Systems Biology TNO Voeding, Zeist Promotiecommissie: Prof. Dr. P. Dolara University of Florence, Italy Prof. Dr. J.A.M. Leunissen Wageningen Universiteit Prof. Dr. J.C. Mathers University of Newcastle, United Kingdom Prof. Dr. M. Müller Wageningen Universiteit Dit onderzoek is uitgevoerd binnen de onderzoekschool VLAG Role of phytochemicals in colon cancer prevention: a nutrigenomics approach Marjan Jolanda van Erk Proefschrift ter verkrijging van graad van doctor op gezag van de rector magnificus van Wageningen Universiteit, Prof.Dr.Ir. L. Speelman, in het openbaar te verdedigen op vrijdag 1 oktober 2004 des namiddags te vier uur in de Aula Title Role of phytochemicals in colon cancer prevention: a nutrigenomics approach Author Marjan Jolanda van Erk Thesis Wageningen University, Wageningen, the Netherlands (2004) with abstract, with references, with summary in Dutch ISBN 90-8504-085-X ABSTRACT Role of phytochemicals in colon cancer prevention: a nutrigenomics approach Specific food compounds, especially from fruits and vegetables, may protect against development of colon cancer. In this thesis effects and mechanisms of various phytochemicals in relation to colon cancer prevention were studied through application of large-scale gene expression profiling. Expression measurement of thousands of genes can yield a more complete and in-depth insight into the mode of action of the compounds. -
Table S6. Names and Functions of 44 Target Genes and 4 Housekeeping Genes Assessed for Gene Expression Measurements
Table S6. Names and functions of 44 target genes and 4 housekeeping genes assessed for gene expression measurements. Gene Gene name Function Category Reference CD45 CD45 (leukocyte common antigen) Regulation of T-cell and B-cell antigen receptor signaling Adaptive NCBI, UniProt HIVEP2 Human immunodeficiency virus typeI enhancer2 Transcription factor, V(D)J recombination, MHC enhancer binding Adaptive (Diepeveen et al. 2013) HIVEP3 Human immunodeficiency virus typeI enhancer3 Transcription factor, V(D)J recombination, MHC enhancer binding Adaptive (Diepeveen et al. 2013) IgM-lc Immunoglobulin light chain Recognition of antigen or pathogen Adaptive NCBI, UniProt Integ-Bt Integrin-beta 1 Cell signaling and adhesion of immunoglobulin Adaptive NCBI, UniProt Lymph75 Lymphocyte antigen 75 Directs captured antigens to lymphocytes Adaptive (Birrer et al. 2012) Lympcyt Lymphocyte cytosolic protein 2 Positive role in promoting T-cell development and activation Adaptive NCBI, UniProt TAP Tap-binding protein (Tapasin) Transport of antigenic peptides, peptide loading on MHC I Adaptive NCBI, UniProt AIF Allograft inflammation factor Inflammatory responses, allograft rejection, activation of macrophages Innate (Roth et al. 2012) Calrcul Calreticulin Chaperone, promotes phagocytosis and clearance of apoptotic cells Innate NCBI, UniProt Cf Coagulation factor II Blood clotting and inflammation response Innate (Birrer et al. 2012) IL8 Interleukin 8 Neutrophil chemotactic factor, phagocytosis, inflammatory activity Innate NCBI, UniProt Intf Interferon induced transmembrane protein 3 Negative regulation of viral entry into host cell, antiviral response Innate NCBI, UniProt Kin Kinesin Intracellular transport Innate (Roth et al. 2012) LectptI Lectin protein type I Pathogen recognition receptors (C-type lectin type I) Innate NCBI, UniProt LectpII Lectin protein type II Pathogen recognition receptors (C-type lectin type II) Innate NCBI, UniProt Nramp Natural resistance-assoc macrophage protein Macrophage activation Innate (Roth et al. -
Human Genome Center Laboratory of Genome Database Laboratory of Sequence Analysis ゲノムデータベース分野 シークエンスデータ情報処理分野
136 Human Genome Center Laboratory of Genome Database Laboratory of Sequence Analysis ゲノムデータベース分野 シークエンスデータ情報処理分野 Professor Minoru Kanehisa, Ph.D. 教授(委嘱) 理学博士 金 久 實 Research Associate Toshiaki Katayama, M.Sc. 助 手 理学修士 片山俊明 Research Associate Shuichi Kawashima, M.Sc. 助 手 理学修士 川島秀一 Lecturer Tetsuo Shibuya, Ph.D. 講 師 理学博士 渋谷哲朗 Research Associate Michihiro Araki, Ph.D. 助 手 薬学博士 荒木通啓 Owing to continuous developments of high-throughput experimental technologies, ever-increasing amounts of data are being generated in functional genomics and proteomics. We are developing a new generation of databases and computational technologies, beyond the traditional genome databases and sequence analysis tools, for making full use of such large-scale data in biomedical applications, espe- cially for elucidating cellular functions as behaviors of complex interaction systems. 1. Comprehensive repository for community We have been developing the server based on genome annotation open source software including BioRuby, BioPerl, BioDAS and GMOD/GBrowse to make Toshiaki Katayama, Mari Watanabe and Mi- the system consistent with the existing open noru Kanehisa standards. The contents of the KEGG DAS data- base can be accessed graphically in a web KEGG DAS is an advanced genome database browser using GBrowse GUI (graphical user in- system providing DAS (Distributed Annotation terface) and also programatically by the DAS System) service for all organisms in the protocol. The DAS, which is an XML over HTTP GENOME and GENES databases in KEGG data retrieving protocol, enables the user to (Kyoto Encyclopedia of Genes and Genomes). write various kinds of automated programs for Currently, KEGG DAS contains 6,943,951 anno- analyzing genome sequences and annotations. -
Mygene.Info R Client
MyGene.info R Client Adam Mark, Ryan Thompson, Chunlei Wu May 19, 2021 Contents 1 Overview ..............................2 2 Gene Annotation Service ...................2 2.1 getGene .............................2 2.2 getGenes ............................2 3 Gene Query Service ......................3 3.1 query ..............................3 3.2 queryMany ...........................4 4 makeTxDbFromMyGene....................5 5 Tutorial, ID mapping .......................6 5.1 Mapping gene symbols to Entrez gene ids ........6 5.2 Mapping gene symbols to Ensembl gene ids .......7 5.3 When an input has no matching gene ...........8 5.4 When input ids are not just symbols ............8 5.5 When an input id has multiple matching genes ......9 5.6 Can I convert a very large list of ids?............ 11 6 References ............................. 11 MyGene.info R Client 1 Overview MyGene.Info provides simple-to-use REST web services to query/retrieve gene annotation data. It’s designed with simplicity and performance emphasized. mygene is an easy-to-use R wrapper to access MyGene.Info services. 2 Gene Annotation Service 2.1 getGene • Use getGene, the wrapper for GET query of "/gene/<geneid>" service, to return the gene object for the given geneid. > gene <- getGene("1017", fields="all") > length(gene) [1] 1 > gene["name"] [[1]] NULL > gene["taxid"] [[1]] NULL > gene["uniprot"] [[1]] NULL > gene["refseq"] [[1]] NULL 2.2 getGenes • Use getGenes, the wrapper for POST query of "/gene" service, to return the list of gene objects for the given character vector of geneids. > getGenes(c("1017","1018","ENSG00000148795")) DataFrame with 3 rows and 7 columns 2 MyGene.info R Client query _id X_version entrezgene name <character> <character> <integer> <character> <character> 1 1017 1017 4 1017 cyclin dependent kin. -
Solar and Ultraviolet Radiation
SOLAR AND ULTRAVIOLET RADIATION Solar and ultraviolet radiation were considered by a previous IARC Working Group in 1992 (IARC, 1992). Since that time, new data have become available, these have been incorpo- rated into the Monograph, and taken into consideration in the present evaluation. 1. Exposure Data 1.1 Nomenclature and units For the purpose of this Monograph, the Terrestrial life is dependent on radiant energy photobiological designations of the Commission from the sun. Solar radiation is largely optical Internationale de l’Eclairage (CIE, International radiation [radiant energy within a broad region Commission on Illumination) are the most of the electromagnetic spectrum that includes relevant, and are used throughout to define ultraviolet (UV), visible (light) and infrared the approximate spectral regions in which radiation], although both shorter wavelength certain biological absorption properties and (ionizing) and longer wavelength (microwaves biological interaction mechanisms may domi- and radiofrequency) radiation is present. The nate (Commission Internationale de l’Eclairage, wavelength of UV radiation (UVR) lies in the 1987). range of 100–400 nm, and is further subdivided Sources of UVR are characterized in radio- into UVA (315–400 nm), UVB (280–315 nm), metric units. The terms dose (J/m2) and dose rate and UVC (100–280 nm). The UV component (W/m 2) pertain to the energy and power, respec- of terrestrial radiation from the midday sun tively, striking a unit surface area of an irradi- comprises about 95% UVA and 5% UVB; UVC ated object (Jagger, 1985). The radiant energy and most of UVB are removed from extraterres- delivered to a given area in a given time is also trial radiation by stratospheric ozone. -
Is Glyceraldehyde-3-Phosphate Dehydrogenase a Central Redox Mediator?
1 Is glyceraldehyde-3-phosphate dehydrogenase a central redox mediator? 2 Grace Russell, David Veal, John T. Hancock* 3 Department of Applied Sciences, University of the West of England, Bristol, 4 UK. 5 *Correspondence: 6 Prof. John T. Hancock 7 Faculty of Health and Applied Sciences, 8 University of the West of England, Bristol, BS16 1QY, UK. 9 [email protected] 10 11 SHORT TITLE | Redox and GAPDH 12 13 ABSTRACT 14 D-Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) is an immensely important 15 enzyme carrying out a vital step in glycolysis and is found in all living organisms. 16 Although there are several isoforms identified in many species, it is now recognized 17 that cytosolic GAPDH has numerous moonlighting roles and is found in a variety of 18 intracellular locations, but also is associated with external membranes and the 19 extracellular environment. The switch of GAPDH function, from what would be 20 considered as its main metabolic role, to its alternate activities, is often under the 21 influence of redox active compounds. Reactive oxygen species (ROS), such as 22 hydrogen peroxide, along with reactive nitrogen species (RNS), such as nitric oxide, 23 are produced by a variety of mechanisms in cells, including from metabolic 24 processes, with their accumulation in cells being dramatically increased under stress 25 conditions. Overall, such reactive compounds contribute to the redox signaling of the 26 cell. Commonly redox signaling leads to post-translational modification of proteins, 27 often on the thiol groups of cysteine residues. In GAPDH the active site cysteine can 28 be modified in a variety of ways, but of pertinence, can be altered by both ROS and 29 RNS, as well as hydrogen sulfide and glutathione. -
TCTE1 Is a Conserved Component of the Dynein Regulatory Complex and Is Required for Motility and Metabolism in Mouse Spermatozoa
TCTE1 is a conserved component of the dynein PNAS PLUS regulatory complex and is required for motility and metabolism in mouse spermatozoa Julio M. Castanedaa,b,1, Rong Huac,d,1, Haruhiko Miyatab, Asami Ojib,e, Yueshuai Guoc,d, Yiwei Chengc,d, Tao Zhouc,d, Xuejiang Guoc,d, Yiqiang Cuic,d, Bin Shenc, Zibin Wangc, Zhibin Huc,f, Zuomin Zhouc,d, Jiahao Shac,d, Renata Prunskaite-Hyyrylainena,g,h, Zhifeng Yua,i, Ramiro Ramirez-Solisj, Masahito Ikawab,e,k,2, Martin M. Matzuka,g,i,l,m,n,2, and Mingxi Liuc,d,2 aDepartment of Pathology and Immunology, Baylor College of Medicine, Houston, TX 77030; bResearch Institute for Microbial Diseases, Osaka University, Suita, Osaka 5650871, Japan; cState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 210029, People’s Republic of China; dDepartment of Histology and Embryology, Nanjing Medical University, Nanjing 210029, People’s Republic of China; eGraduate School of Pharmaceutical Sciences, Osaka University, Suita, Osaka 5650871, Japan; fAnimal Core Facility of Nanjing Medical University, Nanjing 210029, People’s Republic of China; gCenter for Reproductive Medicine, Baylor College of Medicine, Houston, TX 77030; hFaculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu FI-90014, Finland; iCenter for Drug Discovery, Baylor College of Medicine, Houston, TX 77030; jWellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom; kThe Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo 1088639, Japan; lDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030; mDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030; and nDepartment of Pharmacology, Baylor College of Medicine, Houston, TX 77030 Contributed by Martin M. -
Supplementary Data
Supplementary Fig. 1 A B Responder_Xenograft_ Responder_Xenograft_ NON- NON- Lu7336, Vehicle vs Lu7466, Vehicle vs Responder_Xenograft_ Responder_Xenograft_ Sagopilone, Welch- Sagopilone, Welch- Lu7187, Vehicle vs Lu7406, Vehicle vs Test: 638 Test: 600 Sagopilone, Welch- Sagopilone, Welch- Test: 468 Test: 482 Responder_Xenograft_ NON- Lu7860, Vehicle vs Responder_Xenograft_ Sagopilone, Welch - Lu7558, Vehicle vs Test: 605 Sagopilone, Welch- Test: 333 Supplementary Fig. 2 Supplementary Fig. 3 Supplementary Figure S1. Venn diagrams comparing probe sets regulated by Sagopilone treatment (10mg/kg for 24h) between individual models (Welsh Test ellipse p-value<0.001 or 5-fold change). A Sagopilone responder models, B Sagopilone non-responder models. Supplementary Figure S2. Pathway analysis of genes regulated by Sagopilone treatment in responder xenograft models 24h after Sagopilone treatment by GeneGo Metacore; the most significant pathway map representing cell cycle/spindle assembly and chromosome separation is shown, genes upregulated by Sagopilone treatment are marked with red thermometers. Supplementary Figure S3. GeneGo Metacore pathway analysis of genes differentially expressed between Sagopilone Responder and Non-Responder models displaying –log(p-Values) of most significant pathway maps. Supplementary Tables Supplementary Table 1. Response and activity in 22 non-small-cell lung cancer (NSCLC) xenograft models after treatment with Sagopilone and other cytotoxic agents commonly used in the management of NSCLC Tumor Model Response type -
Kin Discrimination Promotes Horizontal Gene Transfer Between Unrelated Strains in Bacillus Subtilis
ARTICLE https://doi.org/10.1038/s41467-021-23685-w OPEN Kin discrimination promotes horizontal gene transfer between unrelated strains in Bacillus subtilis ✉ Polonca Stefanic 1,5,6 , Katarina Belcijan1,5, Barbara Kraigher 1, Rok Kostanjšek1, Joseph Nesme2, Jonas Stenløkke Madsen2, Jasna Kovac 3, Søren Johannes Sørensen 2, Michiel Vos 4 & ✉ Ines Mandic-Mulec 1,6 Bacillus subtilis is a soil bacterium that is competent for natural transformation. Genetically 1234567890():,; distinct B. subtilis swarms form a boundary upon encounter, resulting in killing of one of the strains. This process is mediated by a fast-evolving kin discrimination (KD) system consisting of cellular attack and defence mechanisms. Here, we show that these swarm antagonisms promote transformation-mediated horizontal gene transfer between strains of low related- ness. Gene transfer between interacting non-kin strains is largely unidirectional, from killed cells of the donor strain to surviving cells of the recipient strain. It is associated with acti- vation of a stress response mediated by sigma factor SigW in the donor cells, and induction of competence in the recipient strain. More closely related strains, which in theory would experience more efficient recombination due to increased sequence homology, do not upregulate transformation upon encounter. This result indicates that social interactions can override mechanistic barriers to horizontal gene transfer. We hypothesize that KD-mediated competence in response to the encounter of distinct neighbouring strains could maximize the probability of efficient incorporation of novel alleles and genes that have proved to function in a genomically and ecologically similar context. 1 Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia.