Convergent Regulatory Evolution and Loss of Flight in Paleognathous Birds
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PLATFORM ABSTRACTS Abstract Abstract Numbers Numbers Tuesday, November 6 41
American Society of Human Genetics 62nd Annual Meeting November 6–10, 2012 San Francisco, California PLATFORM ABSTRACTS Abstract Abstract Numbers Numbers Tuesday, November 6 41. Genes Underlying Neurological Disease Room 134 #196–#204 2. 4:30–6:30pm: Plenary Abstract 42. Cancer Genetics III: Common Presentations Hall D #1–#6 Variants Ballroom 104 #205–#213 43. Genetics of Craniofacial and Wednesday, November 7 Musculoskeletal Disorders Room 124 #214–#222 10:30am–12:45 pm: Concurrent Platform Session A (11–19): 44. Tools for Phenotype Analysis Room 132 #223–#231 11. Genetics of Autism Spectrum 45. Therapy of Genetic Disorders Room 130 #232–#240 Disorders Hall D #7–#15 46. Pharmacogenetics: From Discovery 12. New Methods for Big Data Ballroom 103 #16–#24 to Implementation Room 123 #241–#249 13. Cancer Genetics I: Rare Variants Room 135 #25–#33 14. Quantitation and Measurement of Friday, November 9 Regulatory Oversight by the Cell Room 134 #34–#42 8:00am–10:15am: Concurrent Platform Session D (47–55): 15. New Loci for Obesity, Diabetes, and 47. Structural and Regulatory Genomic Related Traits Ballroom 104 #43–#51 Variation Hall D #250–#258 16. Neuromuscular Disease and 48. Neuropsychiatric Disorders Ballroom 103 #259–#267 Deafness Room 124 #52–#60 49. Common Variants, Rare Variants, 17. Chromosomes and Disease Room 132 #61–#69 and Everything in-Between Room 135 #268–#276 18. Prenatal and Perinatal Genetics Room 130 #70–#78 50. Population Genetics Genome-Wide Room 134 #277–#285 19. Vascular and Congenital Heart 51. Endless Forms Most Beautiful: Disease Room 123 #79–#87 Variant Discovery in Genomic Data Ballroom 104 #286–#294 52. -
A Bivalent Chromatin Structure Marks Key Developmental Genes in Embryonic Stem Cells
A Bivalent Chromatin Structure Marks Key Developmental Genes in Embryonic Stem Cells Bradley E. Bernstein,1,2,3,* Tarjei S. Mikkelsen,3,4 Xiaohui Xie,3 Michael Kamal,3 Dana J. Huebert,1 James Cuff,3 Ben Fry,3 Alex Meissner,5 Marius Wernig,5 Kathrin Plath,5 Rudolf Jaenisch,5 Alexandre Wagschal,6 Robert Feil,6 Stuart L. Schreiber,3,7 and Eric S. Lander3,5 1 Molecular Pathology Unit and Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA 02129, USA 2 Department of Pathology, Harvard Medical School, Boston, MA 02115, USA 3 Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA 4 Division of Health Sciences and Technology, MIT, Cambridge, MA 02139, USA 5 Whitehead Institute for Biomedical Research, MIT, Cambridge, MA 02139, USA 6 Institute of Molecular Genetics, CNRS UMR-5535 and University of Montpellier-II, Montpellier, France 7 Howard Hughes Medical Institute at the Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA *Contact: [email protected] DOI 10.1016/j.cell.2006.02.041 SUMMARY which in turn modulate chromatin structure (Jenuwein and Allis, 2001; Margueron et al., 2005). The core histones The most highly conserved noncoding ele- H2A, H2B, H3, and H4 are subject to dozens of different ments (HCNEs) in mammalian genomes cluster modifications, including acetylation, methylation, and within regions enriched for genes encoding de- phosphorylation. Histone H3 lysine 4 (Lys4) and lysine velopmentally important transcription factors 27 (Lys27) methylation are of particular interest as these (TFs). This suggests that HCNE-rich regions modifications are catalyzed, respectively, by trithorax- may contain key regulatory controls involved and Polycomb-group proteins, which mediate mitotic in- heritance of lineage-specific gene expression programs in development. -
Original Article URI1 Amplification in Uterine Carcinosarcoma Associates with Chemo-Resistance and Poor Prognosis
Am J Cancer Res 2015;5(7):2320-2329 www.ajcr.us /ISSN:2156-6976/ajcr0010111 Original Article URI1 amplification in uterine carcinosarcoma associates with chemo-resistance and poor prognosis Yu Wang1,2, Michael J Garabedian2, Susan K Logan1,3 Departments of 1Urology, 2Microbiology, 3Biochemistry and Molecular Pharmacology, New York University School of Medicine, 550 First Avenue, MSB235, New York, NY 10016, USA Received May 11, 2015; Accepted June 11, 2015; Epub June 15, 2015; Published July 1, 2015 Abstract: Uterine carcinosarcoma (UCS) is a rare type of cancer and accounts for 5% of uterine malignancies. However, UCS patients suffer a high prevalence of chemo-resistance and a very poor prognosis compared to uterine cancer patients. URI is a chaperone with functions in transcription. We analyzed the somatic URI1 copy number variation in 57 post-menopausal non-metastatic UCS patients in comparison to 363 uterine corpus endometrial carcinomas. URI1 amplification was detected in 40% (23/57) of primary UCS and 5.5% (20/363) of uterine carci- nomas. UCS patients with URI1 amplification exhibited 13% (3/23) tumor-free survival compared to 41% (14/34) in the absence of URI amplification (P=0.023).URI1 amplification (OR=6.54, P=0.027), weight (OR=1.068, P=0.024), hypertension (OR=3.35, P=0.044), and tumor stage (OR=2.358, P=0.018) associated with poor survival. Patients treated with hormone replacement therapy (OR=15.87, P=0.011) displayed enhanced overall survival. Combined radiation and chemotherapy improved patient survival (median survival=2043 days) compared to single (median survival=597 days) or no treatment (median survival=317 days, P=0.0016). -
1 Introduction + 1.1 Ruvbl1 and Ruvbl2 Are Highly Conserved AAA Proteins
1. Introduction 1 Introduction + 1.1 RuvBL1 and RuvBL2 are highly conserved AAA proteins RuvBL1 and its homolog RuvBL2 are ubiquitously expressed proteins (Bauer et al. 1998) that belong to the AAA+ family of ATPases (ATPases associated with diverse cellular activities) (Neuwald et al. 1999). This class of ATPases includes nucleic acid processing enzymes, chaperones and proteases. AAA+ proteins often form hexameric ring structures and contain conserved motifs for ATP binding and hydrolysis like the Walker A (GXXXXGKT) and Walker B box (DEXH/N) (Walker et al. 1982), the Arg-finger and sensor residues. All AAA+ proteins use ATP binding and hydrolysis to exert mechanical forces. ATP hydrolysis is clearly essential for the biological activity of RuvBL1 and RuvBL2 (Feng et al. 2003; Jonsson et al. 2004; Wood et al. 2000). RuvBL1 and RuvBL2, consisting of 456 and 463 amino acids respectively, are mainly localised in the nucleus, but also found in the cytosol (Holzmann et al. 1998; Kim et al. 2006; Lim et al. 2000; Salzer et al. 1999). RuvBL2 exhibits 43 % sequence identity and 65 % sequence similarity to RuvBL1. These proteins were originally identified by several unrelated approaches and are therefore known under diverse names (see Table 1). RuvBL1 RuvBL2 Explanation Reference TIP49 TIP48 TATA-binding protein (TBP)-interacting protein (Makino et al. 1998; Wood et al. 2000) TIP49a TIP49b TBP-interacting protein (Kanemaki et al. 1999) Pontin52 Reptin52 repressing Pontin52 (Bauer et al. 2000; Bauer et al. 1998) TAP54α TAP54β TIP60-associated protein (Ikura et al. 2000) TIH1 TIH2 TIP49a/b homolog (Lim et al. 2000) ECP54 ECP51 erythrocyte cytosolic protein (Salzer et al. -
The Bioperl Toolkit: Perl Modules for the Life Sciences
Downloaded from genome.cshlp.org on January 25, 2012 - Published by Cold Spring Harbor Laboratory Press The Bioperl Toolkit: Perl Modules for the Life Sciences Jason E. Stajich, David Block, Kris Boulez, et al. Genome Res. 2002 12: 1611-1618 Access the most recent version at doi:10.1101/gr.361602 Supplemental http://genome.cshlp.org/content/suppl/2002/10/20/12.10.1611.DC1.html Material References This article cites 14 articles, 9 of which can be accessed free at: http://genome.cshlp.org/content/12/10/1611.full.html#ref-list-1 Article cited in: http://genome.cshlp.org/content/12/10/1611.full.html#related-urls Email alerting Receive free email alerts when new articles cite this article - sign up in the box at the service top right corner of the article or click here To subscribe to Genome Research go to: http://genome.cshlp.org/subscriptions Cold Spring Harbor Laboratory Press Downloaded from genome.cshlp.org on January 25, 2012 - Published by Cold Spring Harbor Laboratory Press Resource The Bioperl Toolkit: Perl Modules for the Life Sciences Jason E. Stajich,1,18,19 David Block,2,18 Kris Boulez,3 Steven E. Brenner,4 Stephen A. Chervitz,5 Chris Dagdigian,6 Georg Fuellen,7 James G.R. Gilbert,8 Ian Korf,9 Hilmar Lapp,10 Heikki Lehva¨slaiho,11 Chad Matsalla,12 Chris J. Mungall,13 Brian I. Osborne,14 Matthew R. Pocock,8 Peter Schattner,15 Martin Senger,11 Lincoln D. Stein,16 Elia Stupka,17 Mark D. Wilkinson,2 and Ewan Birney11 1University Program in Genetics, Duke University, Durham, North Carolina 27710, USA; 2National Research Council of -
Research Computing Facility an Update from Dr
Research Computing Facility An Update from Dr. Francesca Dominici June 20, 2013 Dear all, We are very excited to provide you some important updates regarding the research computing facility at the Faculty of Arts and Science (FASRC) http://rc.fas.harvard.edu. Please note that we are phasing out the HSPH cluster, and if you are currently leasing nodes on the HSPH cluster we will be working with you to migrate to FASRC. We have developed a FAQ document, which is available at the web link https://rc.fas.harvard.edu/hsph-at-fas-rc-frequently- asked-questions/ and also included in this message. Updates: 1. 158 HSPH accounts have been opened on FASRC, enabling users to run computing jobs on the FAS High Performance Computing Cluster (HPCC), also known as Odyssey 2. Several HSPH faculty have worked with the FASRC team to purchase data storage equipment and hardware that have been deployed at FASRC in Cambridge and linked to Odyssey via a secured network 3. FASRC has developed personalized solutions for our faculty to transfer secure data from HSPH to FAS in accordance with data user agreements. 4. FASRC has been mentioned as a key strength in training and research grant applications from HSPH, and high impact papers have been published that previously were delayed for lack of computing power 5. Please bookmark the web site http://rc.fas.harvard.edu/hsph- overview/ for additional and up to date information To access FASRC you will be charged approximately $3000 per year per account. Access for PhD and ScD students is free. -
Motif Selection Using Simulated Annealing Algorithm with Application to Identify Regulatory Elements
Motif Selection Using Simulated Annealing Algorithm with Application to Identify Regulatory Elements A thesis presented to the faculty of the Russ College of Engineering and Technology of Ohio University In partial fulfillment of the requirements for the degree Master of Science Liang Chen August 2018 © 2018 Liang Chen. All Rights Reserved. 2 This thesis titled Motif Selection Using Simulated Annealing Algorithm with Application to Identify Regulatory Elements by LIANG CHEN has been approved for the Department of Electrical Engineering and Computer Science and the Russ College of Engineering and Technology by Lonnie Welch Professor of Electrical Engineering and Computer Science Dennis Irwin Dean, Russ College of Engineering and Technology 3 Abstract CHEN, LIANG, M.S., August 2018, Computer Science Master Program Motif Selection Using Simulated Annealing Algorithm with Application to Identify Regulatory Elements (106 pp.) Director of Thesis: Lonnie Welch Modern research on gene regulation and disorder-related pathways utilize the tools such as microarray and RNA-Seq to analyze the changes in the expression levels of large sets of genes. In silico motif discovery was performed based on the gene expression profile data, which generated a large set of candidate motifs (usually hundreds or thousands of motifs). How to pick a set of biologically meaningful motifs from the candidate motif set is a challenging biological and computational problem. As a computational problem it can be modeled as motif selection problem (MSP). Building solutions for motif selection problem will give biologists direct help in finding transcription factors (TF) that are strongly related to specific pathways and gaining insights of the relationships between genes. -
Download 20190410); Fragmentation for 20 S
ARTICLE https://doi.org/10.1038/s41467-020-17387-y OPEN Multi-layered proteomic analyses decode compositional and functional effects of cancer mutations on kinase complexes ✉ Martin Mehnert 1 , Rodolfo Ciuffa1, Fabian Frommelt 1, Federico Uliana1, Audrey van Drogen1, ✉ ✉ Kilian Ruminski1,3, Matthias Gstaiger1 & Ruedi Aebersold 1,2 fi 1234567890():,; Rapidly increasing availability of genomic data and ensuing identi cation of disease asso- ciated mutations allows for an unbiased insight into genetic drivers of disease development. However, determination of molecular mechanisms by which individual genomic changes affect biochemical processes remains a major challenge. Here, we develop a multilayered proteomic workflow to explore how genetic lesions modulate the proteome and are trans- lated into molecular phenotypes. Using this workflow we determine how expression of a panel of disease-associated mutations in the Dyrk2 protein kinase alter the composition, topology and activity of this kinase complex as well as the phosphoproteomic state of the cell. The data show that altered protein-protein interactions caused by the mutations are asso- ciated with topological changes and affected phosphorylation of known cancer driver pro- teins, thus linking Dyrk2 mutations with cancer-related biochemical processes. Overall, we discover multiple mutation-specific functionally relevant changes, thus highlighting the extensive plasticity of molecular responses to genetic lesions. 1 Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, -
Resistance to CDK2 Inhibitors Is Associated with Selection of Polyploid Cells in CCNE1 Amplified Ovarian Cancer
Author Manuscript Published OnlineFirst on September 4, 2013; DOI: 10.1158/1078-0432.CCR-13-1337 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Resistance to CDK2 inhibitors is associated with selection of polyploid cells in CCNE1 amplified ovarian cancer AUTHORS AND AFFILIATIONS Dariush Etemadmoghadam1,2,3, George Au-Yeung1,4, Meaghan Wall5, Chris Mitchell1, Maya Kansara1, Elizabeth Loehrer1, Crisoula Batzios5, Joshy George1,4, Sarah Ftouni1, Barbara A Weir6,7, Scott Carter7, Irma Gresshoff3,8, Linda Mileshkin1,2,9, Danny Rischin1,2,9, William C Hahn6,7, Paul M Waring3,8, Gad Getz7, Carleen Cullinane1,10, Lynda J Campbell5 and David Bowtell1,2,4 1Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia; 2Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia; 3Department of Pathology, University of Melbourne, Parkville, Victoria, Australia; 4Department of Biochemistry and Molecular Biology, University of Melbourne, Parkville, Victoria, Australia; 5Victorian Cancer Cytogenetics Service, St Vincent's Hospital, Melbourne, Victoria, Australia; 6Dana-Farber Cancer Institute, Boston, Massachusetts, USA; 7The Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA; 8Centre for Translational Pathology, University of Melbourne, Parkville, Victoria, Australia; 9Department of Medicine, University of Melbourne, Parkville, Victoria, Australia; 10Translational Research Program, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia. RUNNING TITLE Resistance to CDK2 inhibitors in CCNE1 amplified cancer KEYWORDS Ovarian Cancer, Resistance, Cyclin E1, CDK inhibitors CORRESPONDING AUTHOR Professor David DL Bowtell Peter MacCallum Cancer Centre [email protected] Page 1 of 22 Downloaded from clincancerres.aacrjournals.org on September 26, 2021. © 2013 American Association for Cancer Research. -
The Landscape of Molecular Chaperones Across Human Tissues Reveals a Layered Architecture of Core and Variable Chaperones
bioRxiv preprint doi: https://doi.org/10.1101/2020.03.04.976720; this version posted March 5, 2020. 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. The landscape of molecular chaperones across human tissues reveals a layered architecture of core and variable chaperones Netta Shemesh1,2+, Juman Jubran1+, Mehtap Abu-Qarn2, Eyal Simonovky1, Omer Basha1, Idan Hekselman1, Shiran Dror2, Ekaterina Vinogradov1, Serena Carra3, Anat Ben-Zvi2* and Esti Yeger-Lotem1* 1 Department of Clinical Biochemistry and Pharmacology and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel 2 Department of Life Sciences, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel 3 Centre for Neuroscience and Nanotechnology, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy + These authors contributed equally to this study. * Correspondence to: Prof. Esti Yeger-Lotem, Email: [email protected] Prof. Anat Ben-Zvi, Email: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.03.04.976720; this version posted March 5, 2020. 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. Abstract The sensitivity of the protein-folding environment to chaperone disruption can be highly tissue-specific. -
Rabbit Anti-C19orf2 Antibody-SL13781R
SunLong Biotech Co.,LTD Tel: 0086-571- 56623320 Fax:0086-571- 56623318 E-mail:[email protected] www.sunlongbiotech.com Rabbit Anti-C19orf2 antibody SL13781R Product Name: C19orf2 Chinese Name: 19号染色体开放阅读框2抗体 C19orf2; Chromosome 19 open reading frame 2; NNX3; PPP1R19; Protein NNX3; Protein phosphatase 1 regulatory subunit 19; RMP; RMP_HUMAN; RNA polymerase II subunit 5 mediating protein; RNA polymerase II subunit 5-mediating protein; RPB5 Alias: mediating protein; RPB5-mediating protein; Unconventional prefoldin RPB5 interactor 1; Unconventional prefoldin RPB5 interactor; URI; URI1; URI1, prefoldin-like chaperone. Organism Species: Rabbit Clonality: Polyclonal React Species: Human,Mouse,Rat,Chicken,Pig,Cow,Horse,Rabbit,Sheep, ELISA=1:500-1000IHC-P=1:400-800IHC-F=1:400-800ICC=1:100-500IF=1:100- 500(Paraffin sections need antigen repair) Applications: not yet tested in other applications. optimal dilutions/concentrations should be determined by the end user. Molecular weight: 60kDa Cellular localization: The nucleuscytoplasmic Form: Lyophilizedwww.sunlongbiotech.com or Liquid Concentration: 1mg/ml immunogen: KLH conjugated synthetic peptide derived from human C19orf2:351-450/535 Lsotype: IgG Purification: affinity purified by Protein A Storage Buffer: 0.01M TBS(pH7.4) with 1% BSA, 0.03% Proclin300 and 50% Glycerol. Store at -20 °C for one year. Avoid repeated freeze/thaw cycles. The lyophilized antibody is stable at room temperature for at least one month and for greater than a year Storage: when kept at -20°C. When reconstituted in sterile pH 7.4 0.01M PBS or diluent of antibody the antibody is stable for at least two weeks at 2-4 °C. PubMed: PubMed RMP (RPB5-mediating protein), also known as C19orf2, NNX3 or URI, is a 534 amino Product Detail: acid protein that localizes to the nucleus and belongs to the RNA polymerase II subunit 5-mediating protein family. -
Computational Analysis of Protein Function Within Complete Genomes
Computational Analysis of Protein Function within Complete Genomes Anton James Enright Wolfson College A dissertation submitted to the University of Cambridge for the degree of Doctor of Philosophy European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom. Email: [email protected] March 7, 2002 To My Parents and Kerstin This thesis is the result of my own work and includes nothing which is the outcome of work done in collaboration except where specifically indicated in the text. This thesis does not exceed the specified length limit of 300 pages as de- fined by the Biology Degree Committee. This thesis has been typeset in 12pt font using LATEX2ε accordingtothe specifications defined by the Board of Graduate Studies and the Biology Degree Committee. ii Computational Analysis of Protein Function within Complete Genomes Summary Anton James Enright March 7, 2002 Wolfson College Since the advent of complete genome sequencing, vast amounts of nucleotide and amino acid sequence data have been produced. These data need to be effectively analysed and verified so that they may be used for biologi- cal discovery. A significant proportion of predicted protein sequences from these complete genomes have poorly characterised or unknown functional annotations. This thesis describes a number of approaches which detail the computational analysis of amino acid sequences for the prediction and analy- sis of protein function within complete genomes. The first chapter is a short introduction to computational genome analysis while the second and third chapters describe how groups of related protein sequences (termed protein families) may be characterised using sequence clustering algorithms.