2006 European Fission Yeast Meeting
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Mediator Head Subcomplex Med11/22 Contains a Common Helix Bundle
Published online 15 April 2011 Nucleic Acids Research, 2011, Vol. 39, No. 14 6291–6304 doi:10.1093/nar/gkr229 Mediator head subcomplex Med11/22 contains a common helix bundle building block with a specific function in transcription initiation complex stabilization Martin Seizl, Laurent Larivie` re, Toni Pfaffeneder, Larissa Wenzeck and Patrick Cramer* Gene Center and Department of Biochemistry, Center for Integrated Protein Science Munich (CIPSM), Ludwig-Maximilians-Universita¨ t (LMU) Mu¨ nchen, Feodor-Lynen-Strasse 25, 81377 Munich, Germany Received February 24, 2011; Revised and Accepted March 29, 2011 ABSTRACT Mediator undergoes conformational changes, which trig- Mediator is a multiprotein co-activator of RNA poly- ger its interaction with Pol II and promote pre-initiation merase (Pol) II transcription. Mediator contains a complex (PIC) formation (7). Mediator was purified from yeast (8,9), metazoans conserved core that comprises the ‘head’ and (10,11) and plants (12). Comparative genomics identified ‘middle’ modules. We present here a structure– an ancient 17-subunit Mediator core that is conserved function analysis of the essential Med11/22 hetero- in eukaryotes (13,14). Mediator from the yeast dimer, a part of the head module. Med11/22 forms a Saccharomyces cerevisiae (Sc) is a 1.4 MDa multiprotein conserved four-helix bundle domain with C-terminal complex comprising 25 subunits, of which 11 are essential extensions, which bind the central head subunit and 22 are at least partially conserved. Based on electron Med17. A highly conserved patch on the bundle microscopy and biochemical analysis, mediator subunits surface is required for stable transcription pre- were suggested to reside in four flexibly linked modules, initiation complex formation on a Pol II promoter the head, middle, tail and kinase module (15–17). -
Transnational Open Teams Rosters 2013 World Bridge Team
2013 World Bridge Team Championships Bali, Indonesia Transnational Open Teams Rosters 88 GREEN BUDIHARDJO Budihardjo Indonesia JAMES James Rianto S. Indonesia SUBARI Uba Subari Indonesia SUDIRAHARDJO Liliek Indonesia SUHARYO Kristanto Indonesia ZAMAN Herry Indonesia 88 RED HERDIAN Herry Indonesia HIKMAT Kikik Indonesia IBRADI Benny J. Indonesia NURHALIM Apin Indonesia RAMADI Isman Indonesia TAMPUBOLON Baharuddin Indonesia 88 YELLOW DORISA Dorisa Indonesia KORI M. Achyan Indonesia KORI Adriansyah Indonesia MIER VALDES Valdes Indonesia MUKTI Insan R. Indonesia WINARNO Bambang Winarno Indonesia AIRLANGGA UNIVERSITY BUDIONO Welly Agus Indonesia KHIKMIA Lailatul Indonesia PRAYUDHA Bagus Tri Indonesia RAMADHAN Muhammad Indonesia 27 September 2013 Page 1 of 22 ANZAC DJUROVIC Nevena Australia HARSANYI Josef Germany HAVAS Elizabeth Australia NEWTON Shirley New Zealand WILKINSON Jenny New Zealand YUEN Michael Canada ASINDO INDONESIA BAKTI Mukhiban Darma Indonesia BOJOH Jemmy Indonesia GONTHA Leslie Indonesia HUTAHEAN David Indonesia SYAFRUDDIN Toto Indonesia WATULINGAS Giovanni Indonesia ASINDO MAKASSAR ABDULLAH Ilham Indonesia ALI Syahrial Indonesia KANDOUW Reky Indonesia LIENANDA Erwin Indonesia MANOPPO Hendrik Victor Indonesia PANGKEREGO Very Indonesia ASINDO YOUTH ANISA Hafizah Indonesia LONTOH Prillya Indonesia WATULINGAS Jennifer M H Indonesia WIBOWO Effi Indonesia 27 September 2013 Page 2 of 22 AUSTRALIA YOUTH HARRISON Shane Australia HENBEST Maxim Australia HOWARD Justin Australia MOSKOVSKY Ellena Australia THOMPSON Jamie Australia WILLIAMS -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
AOAC Europe NMKL Nordval Symposium
AOAC EUROPE - NMKL - NordVal 7 – 8 May 2012 RAPID METHODS AOAC EUROPE ‐ NMKL‐ NordVal Welcome to the Internaonal Symposium on Rapid Methods chemical, microbiological and sensory analysis of foods IDA Meeng Centre, Kalvebod Brygge 31‐33, Copenhagen, Denmark NMKL, Nordic Commiee on Food Analysis, www.nmkl.org, Email: [email protected] c/o Norwegian Veterinary Instute, P.O.Box 750, Sentrum, N‐0106 Oslo, Norway 1 EUROPE SECTION OF AOAC INTERNATIONAL NordVal performs a third‐party review and AOAC Europe is a secon of AOAC INTERNATIONAL cerfies alternave chemical and and was established in 1989. It is an organizaon of professional sciensts that exchange knowledge microbiological methods for food, and informaon to help each other excel in their feed, water, faeces and profession. environmental tesng. The acvies of the secon are of interest to many NordVal offers: stakeholders from industry and trade, consumer a user‐friendly validaon and environmental protecon agencies, public au‐ protocol thories and regulators in Europe and/or Mediter‐ scienfic confirmaon policies ranean countries. specified acceptance criteria www.aoaceurope.com independent and rapid approval procedures guidance in the validaon NMKL offers process reliable analycal methods within chemical, microbiological and sensorial methods independent reviews and NordVal cerficaons of proprietary and other The Nordic Commiee on Food alternave methods Analysis, NMKL, was founded in 1947 and consists of chemists, relevant guidelines microbiologists, sensory analysts courses/workshops/seminars and stascians from the five Nordic countries, Denmark Finland, network of analycal experts Iceland, Norway and Sweden. updated list of contact persons of the naonal reference laboratories within the NMKL is linked to the Nordic Nordic countries Council of Ministers. -
The ELIXIR Core Data Resources: Fundamental Infrastructure for The
Supplementary Data: The ELIXIR Core Data Resources: fundamental infrastructure for the life sciences The “Supporting Material” referred to within this Supplementary Data can be found in the Supporting.Material.CDR.infrastructure file, DOI: 10.5281/zenodo.2625247 (https://zenodo.org/record/2625247). Figure 1. Scale of the Core Data Resources Table S1. Data from which Figure 1 is derived: Year 2013 2014 2015 2016 2017 Data entries 765881651 997794559 1726529931 1853429002 2715599247 Monthly user/IP addresses 1700660 2109586 2413724 2502617 2867265 FTEs 270 292.65 295.65 289.7 311.2 Figure 1 includes data from the following Core Data Resources: ArrayExpress, BRENDA, CATH, ChEBI, ChEMBL, EGA, ENA, Ensembl, Ensembl Genomes, EuropePMC, HPA, IntAct /MINT , InterPro, PDBe, PRIDE, SILVA, STRING, UniProt ● Note that Ensembl’s compute infrastructure physically relocated in 2016, so “Users/IP address” data are not available for that year. In this case, the 2015 numbers were rolled forward to 2016. ● Note that STRING makes only minor releases in 2014 and 2016, in that the interactions are re-computed, but the number of “Data entries” remains unchanged. The major releases that change the number of “Data entries” happened in 2013 and 2015. So, for “Data entries” , the number for 2013 was rolled forward to 2014, and the number for 2015 was rolled forward to 2016. The ELIXIR Core Data Resources: fundamental infrastructure for the life sciences 1 Figure 2: Usage of Core Data Resources in research The following steps were taken: 1. API calls were run on open access full text articles in Europe PMC to identify articles that mention Core Data Resource by name or include specific data record accession numbers. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Bioinformatics Study of Lectins: New Classification and Prediction In
Bioinformatics study of lectins : new classification and prediction in genomes François Bonnardel To cite this version: François Bonnardel. Bioinformatics study of lectins : new classification and prediction in genomes. Structural Biology [q-bio.BM]. Université Grenoble Alpes [2020-..]; Université de Genève, 2021. En- glish. NNT : 2021GRALV010. tel-03331649 HAL Id: tel-03331649 https://tel.archives-ouvertes.fr/tel-03331649 Submitted on 2 Sep 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSE Pour obtenir le grade de DOCTEUR DE L’UNIVERSITE GRENOBLE ALPES préparée dans le cadre d’une cotutelle entre la Communauté Université Grenoble Alpes et l’Université de Genève Spécialités: Chimie Biologie Arrêté ministériel : le 6 janvier 2005 – 25 mai 2016 Présentée par François Bonnardel Thèse dirigée par la Dr. Anne Imberty codirigée par la Dr/Prof. Frédérique Lisacek préparée au sein du laboratoire CERMAV, CNRS et du Computer Science Department, UNIGE et de l’équipe PIG, SIB Dans les Écoles Doctorales EDCSV et UNIGE Etude bioinformatique des lectines: nouvelle classification et prédiction dans les génomes Thèse soutenue publiquement le 8 Février 2021, devant le jury composé de : Dr. Alexandre de Brevern UMR S1134, Inserm, Université Paris Diderot, Paris, France, Rapporteur Dr. -
What Remains to Be Discovered in the Eukaryotic Proteome?
bioRxiv preprint doi: https://doi.org/10.1101/469569; this version posted November 16, 2018. 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. Hidden in plain sight: What remains to be discovered in the eukaryotic proteome? Valerie Wood∗1,2, Antonia Lock3, Midori A. Harris1,2, Kim Rutherford1,2, J¨urgB¨ahler3, and Stephen G. Oliver1,2 1Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK 2Department of Biochemistry, University of Cambridge, Cambridge, UK 3Department of Genetics, Evolution and Environment, University College London, London, UK November 12, 2018 Abstract The first decade of genome sequencing stimulated an explosion in the charac- terization of unknown proteins. More recently, the pace of functional discovery has slowed, leaving around 20% of the proteins even in well-studied model or- ganisms without informative descriptions of their biological roles. Remarkably, many uncharacterized proteins are conserved from yeasts to human, suggesting that they contribute to fundamental biological processes. To fully understand biological systems in health and disease, we need to account for every part of the system. Unstudied proteins thus represent a collective blind spot that limits the progress of both basic and applied biosciences. We use a simple yet powerful metric based on Gene Ontology (GO) bio- logical process terms to define characterized and uncharacterized proteins for human, budding yeast, and fission yeast. We then identify a set of conserved but unstudied proteins in S. -
Maja Lunde Klaus Hagerup Maria Parr
Children - Novels Maja Lunde The Snow Sister (Snøsøsteren) Illustrated novel | Kagge Forlag | 2018 October | 190 pages Bringing you the Magic of Christmas! The History of Bees-author Maja Lunde and award winning illustrator Lisa Aisato have created an unforgettable story in 24 short chapters which reflects the feeling of Christmas you recognize from Charles Dickens’ A Christmas Carol and stories by H.C. Andersen. Oslo Literary Agency : Evy Tillman ; [email protected] ; +47 952 24 408 ; www.osloliteraryagency.no So far sold to: Belarusian, Bulgarian, Catalan, Chinese simplified, Croatian, Czech, Danish, Estonian, Faroese, Finnish, Georgian, German, Greek, Hungarian, Icelandic, Italian, Korean, Latvian, Lithuanian, Polish, Romanian, Russian, Slovakian, Slovene, Spanish, Swedish, Turkish, Ukrainian Film rights: Anonymous Content Klaus Hagerup The Girl Who Wanted to Save the Books (Jenta som ville redde bøkene) Picture Book | Gyldendal | 2017 | 55 pages Anna is nearly 10 years old and loves to read. She loves reading so much that one of her best friends is the librarian, Monsen. One day Monsen tells Anna what happens to the books no one wants to borrow from the library. The books disappear. The books are destroyed. But what happens to all those who live inside these books, Anna wonders? Do they disappear too? This is just too much to bear, Anna thinks. She has to save the books! But how? Illustrated by Lisa Aisato. Oslo Literary Agency | [email protected] | www.osloliteraryagency.no So far sold to: Braz. Portuguese, Chinese (simplified), Czech, Danish, Estonian, Georgian, German, Greek, Hungarian, Icelandic, Italian, Korean, Latvian, Lithuanian, Persian, Polish, Portuguese, Romanian, Russian, Spanish, Catalan, Portuguese, Swedish, Turkish, Ukrainian Maria Parr The Goalie and the Sea (Keeperen og havet) Novel | Samlaget | 2017 | 234 pages The arrival of a new football coach means dark clouds are looming over twelve-year-old Lena Lid’s goalkeeping career. -
Análise Integrativa De Perfis Transcricionais De Pacientes Com
UNIVERSIDADE DE SÃO PAULO FACULDADE DE MEDICINA DE RIBEIRÃO PRETO PROGRAMA DE PÓS-GRADUAÇÃO EM GENÉTICA ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Ribeirão Preto – 2012 ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Tese apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo para obtenção do título de Doutor em Ciências. Área de Concentração: Genética Orientador: Prof. Dr. Eduardo Antonio Donadi Co-orientador: Prof. Dr. Geraldo A. S. Passos Ribeirão Preto – 2012 AUTORIZO A REPRODUÇÃO E DIVULGAÇÃO TOTAL OU PARCIAL DESTE TRABALHO, POR QUALQUER MEIO CONVENCIONAL OU ELETRÔNICO, PARA FINS DE ESTUDO E PESQUISA, DESDE QUE CITADA A FONTE. FICHA CATALOGRÁFICA Evangelista, Adriane Feijó Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. Ribeirão Preto, 2012 192p. Tese de Doutorado apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo. Área de Concentração: Genética. Orientador: Donadi, Eduardo Antonio Co-orientador: Passos, Geraldo A. 1. Expressão gênica – microarrays 2. Análise bioinformática por module maps 3. Diabetes mellitus tipo 1 4. Diabetes mellitus tipo 2 5. Diabetes mellitus gestacional FOLHA DE APROVAÇÃO ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. -
NCBI Databases
Jon K. Lærdahl, Structural Bioinforma�cs NCBI databases Read this ar�cle! Nucleic Acids 43 Res. , D6 (2015) Jon K. Lærdahl, EMBL-‐EBI databases Structural Bioinforma�cs European Nucleo�de Archive (ENA) nucleo�de sequence database Ensembl -‐ automa�c and manually curated annota�on on selected eukaryo�c (vertebrate) genomes Ensembl Genomes – Ensembl for “all other organisms” UniProt – protein sequence and func�onal informa�on ChEMBL – database of bioac�ve compounds IntAct -‐ repository of molecular interac�ons, including protein-‐protein, protein-‐small molecule and protein-‐nucleic acid interac�ons CiteXplore – 25 million literature abstracts including PubMed, Agricola & patents Gene Ontology (GO) -‐ controlled vocabulary to describe gene and gene product a�ributes in any organism Gene Ontology Annota�on (GOA) – GO annota�ons for proteins in UniProt All data is publicly available Jon K. Lærdahl, Structural Bioinforma�cs GenBank a comprehensive public database of nucleo�de sequences and suppor�ng bibliographic and biological annota�on all publicly available DNA sequences submissions from authors – web-‐based BankIt – standalone program Sequin submissions from EST and other high-‐throughput sequencing projects daily exchange of data with ENA and DNA Data Bank of Japan (DDBJ) – all sequences submi�ed to DDBJ, ENA, or GenBank will end up in all 3 databases within few days Jon K. Lærdahl, Structural Bioinforma�cs INSDC Jon K. Lærdahl, Structural Bioinforma�cs Sequin – for submi�ng to GenBank BankIt is web-‐ based alterna�ve Link to “Create a submission” Jon K. Lærdahl, Structural Bioinforma�cs Entry in GenBank format Oct 2015: 202,237,081,559 bases in 188,372,017 sequence records in the tradi�onal GenBank divisions 1,222,635,267,498 bases in 309,198,943 sequence records in the WGS Jon K. -
Structure and Mechanism of the RNA Polymerase II Transcription Machinery
Downloaded from genesdev.cshlp.org on October 9, 2021 - Published by Cold Spring Harbor Laboratory Press REVIEW Structure and mechanism of the RNA polymerase II transcription machinery Allison C. Schier and Dylan J. Taatjes Department of Biochemistry, University of Colorado, Boulder, Colorado 80303, USA RNA polymerase II (Pol II) transcribes all protein-coding ingly high resolution, which has rapidly advanced under- genes and many noncoding RNAs in eukaryotic genomes. standing of the molecular basis of Pol II transcription. Although Pol II is a complex, 12-subunit enzyme, it lacks Structural biology continues to transform our under- the ability to initiate transcription and cannot consistent- standing of complex biological processes because it allows ly transcribe through long DNA sequences. To execute visualization of proteins and protein complexes at or near these essential functions, an array of proteins and protein atomic-level resolution. Combined with mutagenesis and complexes interact with Pol II to regulate its activity. In functional assays, structural data can at once establish this review, we detail the structure and mechanism of how enzymes function, justify genetic links to human dis- over a dozen factors that govern Pol II initiation (e.g., ease, and drive drug discovery. In the past few decades, TFIID, TFIIH, and Mediator), pausing, and elongation workhorse techniques such as NMR and X-ray crystallog- (e.g., DSIF, NELF, PAF, and P-TEFb). The structural basis raphy have been complemented by cryoEM, cross-linking for Pol II transcription regulation has advanced rapidly mass spectrometry (CXMS), and other methods. Recent in the past decade, largely due to technological innova- improvements in data collection and imaging technolo- tions in cryoelectron microscopy.