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Browsing Genes and Genomes with Ensembl
The Bioinformatics Roadshow Copenhagen, Denmark 16 & 17 June 2011 BROWSING GENES AND GENOMES WITH ENSEMBL EXERCISES AND ANSWERS Note: These exercises are based on Ensembl version 62 (13 April 2011). After in future a new version has gone live, version 62 will still be available at http://e62.ensembl.org. If your answer doesn’t correspond with the given answer, please consult the instructor. ______________________________________________________________ BROWSER ______________________________________________________________ Exercise 1 – Exploring a gene (a) Find the human F9 (Coagulation factor IX) gene. On which chromosome and which strand of the genome is this gene located? How many transcripts (splice variants) have been annotated for it? (b) What is the longest transcript? How long is the protein it encodes? How many exons does it have? Are any of the exons completely or partially untranslated? (c) Have a look at the external references for ENST00000218099. What is the function of F9? (d) Is it possible to monitor expression of ENST00000218099 with the CodeLink microarray? If so, can it also be used to monitor expression of the other two transcripts? (e) In which part (i.e. the N-terminal or C-terminal half) of the protein encoded by ENST00000218099 does its peptidase activity, responsible for the cleavage of factor X to yield its active form factor Xa, reside? (f) How many non-synonymous variants have been discovered for the protein encoded by ENST00000218099? (g) Is there a mouse ortholog predicted for the human F9 gene? (h) On which cytogenetic band and on which contig is the F9 gene located? Is there a BAC clone that contains the complete F9 gene? (i) If you have yourself a gene of interest, explore what information Ensembl displays about it! ______________________________________________________________ Answer (a) Go to the Ensembl homepage (http://www.ensembl.org). -
TACC1–Chtog–Aurora a Protein Complex in Breast Cancer
Oncogene (2003) 22, 8102–8116 & 2003 Nature Publishing Group All rights reserved 0950-9232/03 $25.00 www.nature.com/onc TACC1–chTOG–Aurora A protein complex in breast cancer Nathalie Conte1,Be´ ne´ dicte Delaval1, Christophe Ginestier1, Alexia Ferrand1, Daniel Isnardon2, Christian Larroque3, Claude Prigent4, Bertrand Se´ raphin5, Jocelyne Jacquemier1 and Daniel Birnbaum*,1 1Department of Molecular Oncology, U119 Inserm, Institut Paoli-Calmettes, IFR57, Marseille, France; 2Imaging Core Facility, Institut Paoli-Calmettes, Marseille, France; 3E229 Inserm, CRLC Val d’Aurelle/Paul Lamarque, Montpellier, France; 4Laboratoire du cycle cellulaire, UMR 6061 CNRS, IFR 97, Faculte´ de Me´decine, Rennes, France; 5Centre de Ge´ne´tique Mole´culaire, Gif-sur-Yvette, France The three human TACC (transforming acidic coiled-coil) metabolism, including mitosis and intracellular trans- genes encode a family of proteins with poorly defined port of molecules, is progressing but many components functions that are suspected to play a role in oncogenesis. remain to be discovered and characterized. We describe A Xenopus TACC homolog called Maskin is involved in here the interaction of the TACC1 protein with several translational control, while Drosophila D-TACC interacts protein partners that makes it a good candidate to with the microtubule-associated protein MSPS (Mini participate in microtubule-associated processes in nor- SPindleS) to ensure proper dynamics of spindle pole mal and tumoral cells. microtubules during cell division. We have delineated here In -
Genetic Variant in 3' Untranslated Region of the Mouse Pycard Gene
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.26.437184; this version posted March 26, 2021. 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 4.0 International license. 1 2 3 Title: 4 Genetic Variant in 3’ Untranslated Region of the Mouse Pycard Gene Regulates Inflammasome 5 Activity 6 Running Title: 7 3’UTR SNP in Pycard regulates inflammasome activity 8 Authors: 9 Brian Ritchey1*, Qimin Hai1*, Juying Han1, John Barnard2, Jonathan D. Smith1,3 10 1Department of Cardiovascular & Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, 11 Cleveland, OH 44195 12 2Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 13 44195 14 3Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine of Case Western 15 Reserve University, Cleveland, OH 44195 16 *, These authors contributed equally to this study. 17 Address correspondence to Jonathan D. Smith: email [email protected]; ORCID ID 0000-0002-0415-386X; 18 mailing address: Cleveland Clinic, Box NC-10, 9500 Euclid Avenue, Cleveland, OH 44195, USA. 19 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.03.26.437184; this version posted March 26, 2021. 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 4.0 International license. 20 Abstract 21 Quantitative trait locus mapping for interleukin-1 release after inflammasome priming and activation 22 was performed on bone marrow-derived macrophages (BMDM) from an AKRxDBA/2 strain intercross. -
Noelia Díaz Blanco
Effects of environmental factors on the gonadal transcriptome of European sea bass (Dicentrarchus labrax), juvenile growth and sex ratios Noelia Díaz Blanco Ph.D. thesis 2014 Submitted in partial fulfillment of the requirements for the Ph.D. degree from the Universitat Pompeu Fabra (UPF). This work has been carried out at the Group of Biology of Reproduction (GBR), at the Department of Renewable Marine Resources of the Institute of Marine Sciences (ICM-CSIC). Thesis supervisor: Dr. Francesc Piferrer Professor d’Investigació Institut de Ciències del Mar (ICM-CSIC) i ii A mis padres A Xavi iii iv Acknowledgements This thesis has been made possible by the support of many people who in one way or another, many times unknowingly, gave me the strength to overcome this "long and winding road". First of all, I would like to thank my supervisor, Dr. Francesc Piferrer, for his patience, guidance and wise advice throughout all this Ph.D. experience. But above all, for the trust he placed on me almost seven years ago when he offered me the opportunity to be part of his team. Thanks also for teaching me how to question always everything, for sharing with me your enthusiasm for science and for giving me the opportunity of learning from you by participating in many projects, collaborations and scientific meetings. I am also thankful to my colleagues (former and present Group of Biology of Reproduction members) for your support and encouragement throughout this journey. To the “exGBRs”, thanks for helping me with my first steps into this world. Working as an undergrad with you Dr. -
Cptc-Tp53-2 (Cab079965)
CPTC-TP53-2 (CAB079965) Uniprot ID: P04637 Protein name: P53_HUMAN Full name: Cellular tumor antigen p53 Tissue specificity: Ubiquitous. Isoforms are expressed in a wide range of normal tissues but in a tissue-dependent manner. Isoform 2 is expressed in most normal tissues but is not detected in brain, lung, prostate, muscle, fetal brain, spinal cord and fetal liver. Isoform 3 is expressed in most normal tissues but is not detected in lung, spleen, testis, fetal brain, spinal cord and fetal liver. Isoform 7 is expressed in most normal tissues but is not detected in prostate, uterus, skeletal muscle and breast. Isoform 8 is detected only in colon, bone marrow, testis, fetal brain and intestine. Isoform 9 is expressed in most normal tissues but is not detected in brain, heart, lung, fetal liver, salivary gland, breast or intestine. Function: Acts as a tumor suppressor in many tumor types; induces growth arrest or apoptosis depending on the physiological circumstances and cell type. Involved in cell cycle regulation as a trans-activator that acts to negatively regulate cell division by controlling a set of genes required for this process. One of the activated genes is an inhibitor of cyclin-dependent kinases. Apoptosis induction seems to be mediated either by stimulation of BAX and FAS antigen expression, or by repression of Bcl-2 expression. Its pro-apoptotic activity is activated via its interaction with PPP1R13B/ASPP1 or TP53BP2/ASPP2 (PubMed:12524540). However, this activity is inhibited when the interaction with PPP1R13B/ASPP1 or TP53BP2/ASPP2 is displaced by PPP1R13L/iASPP (PubMed:12524540). In cooperation with mitochondrial PPIF is involved in activating oxidative stress-induced necrosis; the function is largely independent of transcription. -
Gene Section Review
Atlas of Genetics and Cytogenetics in Oncology and Haematology OPEN ACCESS JOURNAL AT INIST-CNRS Gene Section Review TACC1 (transforming, acidic coiled-coil containing protein 1) Ivan Still, Melissa R Eslinger, Brenda Lauffart Department of Biological Sciences, Arkansas Tech University, 1701 N Boulder Ave Russellville, AR 72801, USA (IS), Department of Chemistry and Life Science Bartlett Hall, United States Military Academy, West Point, New York 10996, USA (MRE), Department of Physical Sciences Arkansas Tech University, 1701 N Boulder Ave Russellville, AR 72801, USA (BL) Published in Atlas Database: December 2008 Online updated version : http://AtlasGeneticsOncology.org/Genes/TACC1ID42456ch8p11.html DOI: 10.4267/2042/44620 This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 2.0 France Licence. © 2009 Atlas of Genetics and Cytogenetics in Oncology and Haematology Identity Note: - AK304507 and AK303596 sequences may be suspect Other names: Ga55; DKFZp686K18126; KIAA1103 (see UCSC Genome Bioinformatics Site HGNC (Hugo): TACC1 (http://genome.ucsc.edu) for more details. - Transcript/isoform nomenclature as per Line et al, Location: 8p11.23 2002 and Lauffart et al., 2006. TACC1F transcript Note: This gene has three proposed transcription start includes exon 1, 2 and 3 (correction to Fig 6 of Lauffart sites beginning at 38763938 bp, 38733914 bp, et al., 2006). 38705165 bp from pter. Pseudogene DNA/RNA Partially processed pseudogene: - 91% identity corresponding to base 596 to 2157 of Description AF049910. The gene is composed of 19 exons spanning 124.5 kb. Location: 10p11.21. Location base pair: starts at 37851943 and ends at Transcription 37873633 from pter (according to hg18-March_2006). -
The FGF/FGFR System in Breast Cancer: Oncogenic Features and Therapeutic Perspectives
cancers Review The FGF/FGFR System in Breast Cancer: Oncogenic Features and Therapeutic Perspectives Maria Francesca Santolla and Marcello Maggiolini * Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy; [email protected] * Correspondence: [email protected] or [email protected] Received: 8 September 2020; Accepted: 16 October 2020; Published: 18 October 2020 Simple Summary: The fibroblast growth factor/fibroblast growth factor receptor (FGF/FGFR) system represents an emerging therapeutic target in breast cancer. Here, we discussed previous studies dealing with FGFR molecular aberrations, the alterations in the FGF/FGFR signaling across the different subtypes of breast cancer, the functional interplay between the FGF/FGFR axis and important components of the breast microenvironment, the therapeutic usefulness of FGF/FGFR inhibitors for the treatment of breast cancer. Abstract: One of the major challenges in the treatment of breast cancer is the heterogeneous nature of the disease. With multiple subtypes of breast cancer identified, there is an unmet clinical need for the development of therapies particularly for the less tractable subtypes. Several transduction mechanisms are involved in the progression of breast cancer, therefore making the assessment of the molecular landscape that characterizes each patient intricate. Over the last decade, numerous studies have focused on the development of tyrosine kinase inhibitors (TKIs) to target the main pathways dysregulated in breast cancer, however their effectiveness is often limited either by resistance to treatments or the appearance of adverse effects. In this context, the fibroblast growth factor/fibroblast growth factor receptor (FGF/FGFR) system represents an emerging transduction pathway and therapeutic target to be fully investigated among the diverse anti-cancer settings in breast cancer. -
TACC2 Antibody
Product Datasheet TACC2 Antibody Catalog No: #AB43154 Orders: [email protected] Description Support: [email protected] Product Name TACC2 Antibody Host Species Rabbit Clonality Polyclonal Purification Antigen affinity purification. Applications WB IHC Species Reactivity Hu Ms Specificity The antibody detects endogenous levels of total TACC2 protein. Immunogen Type peptide Immunogen Description Synthetic peptide of human TACC2 Target Name TACC2 Other Names AZU-1; ECTACC Accession No. Swiss-Prot#: O95359Gene ID: 10579 Calculated MW 310kd Concentration 2mg/ml Formulation Rabbit IgG in pH7.4 PBS, 0.05% NaN3, 40% Glycerol. Storage Store at -20°C Application Details Western blotting: 1:200-1:1000 Immunohistochemistry: 1:25-1:100 Images Gel: 6%SDS-PAGE Lysate: 40 µg Lane: Mouse muscle tissue Primary antibody: 1/300 dilution Secondary antibody: Goat anti rabbit IgG at 1/8000 dilution Exposure time: 5 minutes Address: 8400 Baltimore Ave. Suite 302 College Park MD 20740 USA http://www.abscitech.com 1 Immunohistochemical analysis of paraffin-embedded Human liver cancer tissue using #43154 at dilution 1/30. Immunohistochemical analysis of paraffin-embedded Human esophagus cancer tissue using #43154 at dilution 1/30. Background Transforming acidic coiled-coil proteins are a conserved family of centrosome- and microtubule-interacting proteins that are implicated in cancer. This gene encodes a protein that concentrates at centrosomes throughout the cell cycle. This gene lies within a chromosomal region associated with tumorigenesis. Expression of this gene is induced by erythropoietin and is thought to affect the progression of breast tumors. Several transcript variants encoding different isoforms have been found for this gene.? Note: This product is for in vitro research use only and is not intended for use in humans or animals. -
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. -
Elucidating Biological Roles of Novel Murine Genes in Hearing Impairment in Africa
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 19 September 2019 doi:10.20944/preprints201909.0222.v1 Review Elucidating Biological Roles of Novel Murine Genes in Hearing Impairment in Africa Oluwafemi Gabriel Oluwole,1* Abdoulaye Yal 1,2, Edmond Wonkam1, Noluthando Manyisa1, Jack Morrice1, Gaston K. Mazanda1 and Ambroise Wonkam1* 1Division of Human Genetics, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Observatory, Cape Town, South Africa. 2Department of Neurology, Point G Teaching Hospital, University of Sciences, Techniques and Technology, Bamako, Mali. *Correspondence to: [email protected]; [email protected] Abstract: The prevalence of congenital hearing impairment (HI) is highest in Africa. Estimates evaluated genetic causes to account for 31% of HI cases in Africa, but the identification of associated causative genes mutations have been challenging. In this study, we reviewed the potential roles, in humans, of 38 novel genes identified in a murine study. We gathered information from various genomic annotation databases and performed functional enrichment analysis using online resources i.e. genemania and g.proflier. Results revealed that 27/38 genes are express mostly in the brain, suggesting additional cognitive roles. Indeed, HERC1- R3250X had been associated with intellectual disability in a Moroccan family. A homozygous 216-bp deletion in KLC2 was found in two siblings of Egyptian descent with spastic paraplegia. Up to 27/38 murine genes have link to at least a disease, and the commonest mode of inheritance is autosomal recessive (n=8). Network analysis indicates that 20 other genes have intermediate and biological links to the novel genes, suggesting their possible roles in HI. -
Human Induced Pluripotent Stem Cell–Derived Podocytes Mature Into Vascularized Glomeruli Upon Experimental Transplantation
BASIC RESEARCH www.jasn.org Human Induced Pluripotent Stem Cell–Derived Podocytes Mature into Vascularized Glomeruli upon Experimental Transplantation † Sazia Sharmin,* Atsuhiro Taguchi,* Yusuke Kaku,* Yasuhiro Yoshimura,* Tomoko Ohmori,* ‡ † ‡ Tetsushi Sakuma, Masashi Mukoyama, Takashi Yamamoto, Hidetake Kurihara,§ and | Ryuichi Nishinakamura* *Department of Kidney Development, Institute of Molecular Embryology and Genetics, and †Department of Nephrology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan; ‡Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Hiroshima, Japan; §Division of Anatomy, Juntendo University School of Medicine, Tokyo, Japan; and |Japan Science and Technology Agency, CREST, Kumamoto, Japan ABSTRACT Glomerular podocytes express proteins, such as nephrin, that constitute the slit diaphragm, thereby contributing to the filtration process in the kidney. Glomerular development has been analyzed mainly in mice, whereas analysis of human kidney development has been minimal because of limited access to embryonic kidneys. We previously reported the induction of three-dimensional primordial glomeruli from human induced pluripotent stem (iPS) cells. Here, using transcription activator–like effector nuclease-mediated homologous recombination, we generated human iPS cell lines that express green fluorescent protein (GFP) in the NPHS1 locus, which encodes nephrin, and we show that GFP expression facilitated accurate visualization of nephrin-positive podocyte formation in -
Identification of Key Genes and Pathways in Pancreatic Cancer
G C A T T A C G G C A T genes Article Identification of Key Genes and Pathways in Pancreatic Cancer Gene Expression Profile by Integrative Analysis Wenzong Lu * , Ning Li and Fuyuan Liao Department of Biomedical Engineering, College of Electronic and Information Engineering, Xi’an Technological University, Xi’an 710021, China * Correspondence: [email protected]; Tel.: +86-29-86173358 Received: 6 July 2019; Accepted: 7 August 2019; Published: 13 August 2019 Abstract: Background: Pancreatic cancer is one of the malignant tumors that threaten human health. Methods: The gene expression profiles of GSE15471, GSE19650, GSE32676 and GSE71989 were downloaded from the gene expression omnibus database including pancreatic cancer and normal samples. The differentially expressed genes between the two types of samples were identified with the Limma package using R language. The gene ontology functional and pathway enrichment analyses of differentially-expressed genes were performed by the DAVID software followed by the construction of a protein–protein interaction network. Hub gene identification was performed by the plug-in cytoHubba in cytoscape software, and the reliability and survival analysis of hub genes was carried out in The Cancer Genome Atlas gene expression data. Results: The 138 differentially expressed genes were significantly enriched in biological processes including cell migration, cell adhesion and several pathways, mainly associated with extracellular matrix-receptor interaction and focal adhesion pathway in pancreatic cancer. The top hub genes, namely thrombospondin 1, DNA topoisomerase II alpha, syndecan 1, maternal embryonic leucine zipper kinase and proto-oncogene receptor tyrosine kinase Met were identified from the protein–protein interaction network.