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  • 11
    Publication Date: 2012-03-31
    Description: The systematic translation of cancer genomic data into knowledge of tumour biology and therapeutic possibilities remains challenging. Such efforts should be greatly aided by robust preclinical model systems that reflect the genomic diversity of human cancers and for which detailed genetic and pharmacological annotation is available. Here we describe the Cancer Cell Line Encyclopedia (CCLE): a compilation of gene expression, chromosomal copy number and massively parallel sequencing data from 947 human cancer cell lines. When coupled with pharmacological profiles for 24 anticancer drugs across 479 of the cell lines, this collection allowed identification of genetic, lineage, and gene-expression-based predictors of drug sensitivity. In addition to known predictors, we found that plasma cell lineage correlated with sensitivity to IGF1 receptor inhibitors; AHR expression was associated with MEK inhibitor efficacy in NRAS-mutant lines; and SLFN11 expression predicted sensitivity to topoisomerase inhibitors. Together, our results indicate that large, annotated cell-line collections may help to enable preclinical stratification schemata for anticancer agents. The generation of genetic predictions of drug response in the preclinical setting and their incorporation into cancer clinical trial design could speed the emergence of 'personalized' therapeutic regimens.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3320027/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3320027/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Barretina, Jordi -- Caponigro, Giordano -- Stransky, Nicolas -- Venkatesan, Kavitha -- Margolin, Adam A -- Kim, Sungjoon -- Wilson, Christopher J -- Lehar, Joseph -- Kryukov, Gregory V -- Sonkin, Dmitriy -- Reddy, Anupama -- Liu, Manway -- Murray, Lauren -- Berger, Michael F -- Monahan, John E -- Morais, Paula -- Meltzer, Jodi -- Korejwa, Adam -- Jane-Valbuena, Judit -- Mapa, Felipa A -- Thibault, Joseph -- Bric-Furlong, Eva -- Raman, Pichai -- Shipway, Aaron -- Engels, Ingo H -- Cheng, Jill -- Yu, Guoying K -- Yu, Jianjun -- Aspesi, Peter Jr -- de Silva, Melanie -- Jagtap, Kalpana -- Jones, Michael D -- Wang, Li -- Hatton, Charles -- Palescandolo, Emanuele -- Gupta, Supriya -- Mahan, Scott -- Sougnez, Carrie -- Onofrio, Robert C -- Liefeld, Ted -- MacConaill, Laura -- Winckler, Wendy -- Reich, Michael -- Li, Nanxin -- Mesirov, Jill P -- Gabriel, Stacey B -- Getz, Gad -- Ardlie, Kristin -- Chan, Vivien -- Myer, Vic E -- Weber, Barbara L -- Porter, Jeff -- Warmuth, Markus -- Finan, Peter -- Harris, Jennifer L -- Meyerson, Matthew -- Golub, Todd R -- Morrissey, Michael P -- Sellers, William R -- Schlegel, Robert -- Garraway, Levi A -- DP2 OD002750/OD/NIH HHS/ -- DP2 OD002750-01/OD/NIH HHS/ -- R33 CA126674/CA/NCI NIH HHS/ -- R33 CA126674-04/CA/NCI NIH HHS/ -- R33 CA155554/CA/NCI NIH HHS/ -- R33 CA155554-02/CA/NCI NIH HHS/ -- England -- Nature. 2012 Mar 28;483(7391):603-7. doi: 10.1038/nature11003.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22460905" target="_blank"〉PubMed〈/a〉
    Keywords: Antineoplastic Agents/pharmacology ; Cell Line, Tumor ; Cell Lineage ; Chromosomes, Human/genetics ; Clinical Trials as Topic/methods ; *Databases, Factual ; Drug Screening Assays, Antitumor/*methods ; *Encyclopedias as Topic ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genes, ras/genetics ; Genome, Human/genetics ; Genomics ; Humans ; Mitogen-Activated Protein Kinase Kinases/antagonists & inhibitors/metabolism ; *Models, Biological ; Neoplasms/*drug therapy/genetics/metabolism/*pathology ; Pharmacogenetics ; Plasma Cells/cytology/drug effects/metabolism ; Precision Medicine/methods ; Receptor, IGF Type 1/antagonists & inhibitors/metabolism ; Receptors, Aryl Hydrocarbon/genetics/metabolism ; Sequence Analysis, DNA ; Topoisomerase Inhibitors/pharmacology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 12
    Publication Date: 2014-02-01
    Description: Hereditary spastic paraplegias (HSPs) are neurodegenerative motor neuron diseases characterized by progressive age-dependent loss of corticospinal motor tract function. Although the genetic basis is partly understood, only a fraction of cases can receive a genetic diagnosis, and a global view of HSP is lacking. By using whole-exome sequencing in combination with network analysis, we identified 18 previously unknown putative HSP genes and validated nearly all of these genes functionally or genetically. The pathways highlighted by these mutations link HSP to cellular transport, nucleotide metabolism, and synapse and axon development. Network analysis revealed a host of further candidate genes, of which three were mutated in our cohort. Our analysis links HSP to other neurodegenerative disorders and can facilitate gene discovery and mechanistic understanding of disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4157572/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4157572/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Novarino, Gaia -- Fenstermaker, Ali G -- Zaki, Maha S -- Hofree, Matan -- Silhavy, Jennifer L -- Heiberg, Andrew D -- Abdellateef, Mostafa -- Rosti, Basak -- Scott, Eric -- Mansour, Lobna -- Masri, Amira -- Kayserili, Hulya -- Al-Aama, Jumana Y -- Abdel-Salam, Ghada M H -- Karminejad, Ariana -- Kara, Majdi -- Kara, Bulent -- Bozorgmehri, Bita -- Ben-Omran, Tawfeg -- Mojahedi, Faezeh -- Mahmoud, Iman Gamal El Din -- Bouslam, Naima -- Bouhouche, Ahmed -- Benomar, Ali -- Hanein, Sylvain -- Raymond, Laure -- Forlani, Sylvie -- Mascaro, Massimo -- Selim, Laila -- Shehata, Nabil -- Al-Allawi, Nasir -- Bindu, P S -- Azam, Matloob -- Gunel, Murat -- Caglayan, Ahmet -- Bilguvar, Kaya -- Tolun, Aslihan -- Issa, Mahmoud Y -- Schroth, Jana -- Spencer, Emily G -- Rosti, Rasim O -- Akizu, Naiara -- Vaux, Keith K -- Johansen, Anide -- Koh, Alice A -- Megahed, Hisham -- Durr, Alexandra -- Brice, Alexis -- Stevanin, Giovanni -- Gabriel, Stacy B -- Ideker, Trey -- Gleeson, Joseph G -- HHSN268200782096C/PHS HHS/ -- HHSN268201100011/PHS HHS/ -- N01-CO-12400/CO/NCI NIH HHS/ -- P01 HD070494/HD/NICHD NIH HHS/ -- P01HD070494/HD/NICHD NIH HHS/ -- P30NS047101/NS/NINDS NIH HHS/ -- R01NS041537/NS/NINDS NIH HHS/ -- R01NS048453/NS/NINDS NIH HHS/ -- R01NS052455/NS/NINDS NIH HHS/ -- U54 HG006504/HG/NHGRI NIH HHS/ -- U54HG003067/HG/NHGRI NIH HHS/ -- U54HG006504/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2014 Jan 31;343(6170):506-11. doi: 10.1126/science.1247363.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute, University of California, San Diego, La Jolla, CA 92093, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24482476" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Axons/physiology ; Biological Transport/genetics ; Cohort Studies ; Exome/*genetics ; Gene Regulatory Networks ; *Genetic Association Studies ; Humans ; Motor Neuron Disease/*genetics ; Mutation ; Neurons/*metabolism ; Nucleotides/genetics/metabolism ; Pyramidal Tracts/*metabolism ; Sequence Analysis, DNA ; Spastic Paraplegia, Hereditary/*genetics ; Synapses/physiology ; Transcriptome ; Zebrafish
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 13
    Publication Date: 2015-01-03
    Description: Variation in vectorial capacity for human malaria among Anopheles mosquito species is determined by many factors, including behavior, immunity, and life history. To investigate the genomic basis of vectorial capacity and explore new avenues for vector control, we sequenced the genomes of 16 anopheline mosquito species from diverse locations spanning ~100 million years of evolution. Comparative analyses show faster rates of gene gain and loss, elevated gene shuffling on the X chromosome, and more intron losses, relative to Drosophila. Some determinants of vectorial capacity, such as chemosensory genes, do not show elevated turnover but instead diversify through protein-sequence changes. This dynamism of anopheline genes and genomes may contribute to their flexible capacity to take advantage of new ecological niches, including adapting to humans as primary hosts.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4380271/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4380271/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Neafsey, Daniel E -- Waterhouse, Robert M -- Abai, Mohammad R -- Aganezov, Sergey S -- Alekseyev, Max A -- Allen, James E -- Amon, James -- Arca, Bruno -- Arensburger, Peter -- Artemov, Gleb -- Assour, Lauren A -- Basseri, Hamidreza -- Berlin, Aaron -- Birren, Bruce W -- Blandin, Stephanie A -- Brockman, Andrew I -- Burkot, Thomas R -- Burt, Austin -- Chan, Clara S -- Chauve, Cedric -- Chiu, Joanna C -- Christensen, Mikkel -- Costantini, Carlo -- Davidson, Victoria L M -- Deligianni, Elena -- Dottorini, Tania -- Dritsou, Vicky -- Gabriel, Stacey B -- Guelbeogo, Wamdaogo M -- Hall, Andrew B -- Han, Mira V -- Hlaing, Thaung -- Hughes, Daniel S T -- Jenkins, Adam M -- Jiang, Xiaofang -- Jungreis, Irwin -- Kakani, Evdoxia G -- Kamali, Maryam -- Kemppainen, Petri -- Kennedy, Ryan C -- Kirmitzoglou, Ioannis K -- Koekemoer, Lizette L -- Laban, Njoroge -- Langridge, Nicholas -- Lawniczak, Mara K N -- Lirakis, Manolis -- Lobo, Neil F -- Lowy, Ernesto -- MacCallum, Robert M -- Mao, Chunhong -- Maslen, Gareth -- Mbogo, Charles -- McCarthy, Jenny -- Michel, Kristin -- Mitchell, Sara N -- Moore, Wendy -- Murphy, Katherine A -- Naumenko, Anastasia N -- Nolan, Tony -- Novoa, Eva M -- O'Loughlin, Samantha -- Oringanje, Chioma -- Oshaghi, Mohammad A -- Pakpour, Nazzy -- Papathanos, Philippos A -- Peery, Ashley N -- Povelones, Michael -- Prakash, Anil -- Price, David P -- Rajaraman, Ashok -- Reimer, Lisa J -- Rinker, David C -- Rokas, Antonis -- Russell, Tanya L -- Sagnon, N'Fale -- Sharakhova, Maria V -- Shea, Terrance -- Simao, Felipe A -- Simard, Frederic -- Slotman, Michel A -- Somboon, Pradya -- Stegniy, Vladimir -- Struchiner, Claudio J -- Thomas, Gregg W C -- Tojo, Marta -- Topalis, Pantelis -- Tubio, Jose M C -- Unger, Maria F -- Vontas, John -- Walton, Catherine -- Wilding, Craig S -- Willis, Judith H -- Wu, Yi-Chieh -- Yan, Guiyun -- Zdobnov, Evgeny M -- Zhou, Xiaofan -- Catteruccia, Flaminia -- Christophides, George K -- Collins, Frank H -- Cornman, Robert S -- Crisanti, Andrea -- Donnelly, Martin J -- Emrich, Scott J -- Fontaine, Michael C -- Gelbart, William -- Hahn, Matthew W -- Hansen, Immo A -- Howell, Paul I -- Kafatos, Fotis C -- Kellis, Manolis -- Lawson, Daniel -- Louis, Christos -- Luckhart, Shirley -- Muskavitch, Marc A T -- Ribeiro, Jose M -- Riehle, Michael A -- Sharakhov, Igor V -- Tu, Zhijian -- Zwiebel, Laurence J -- Besansky, Nora J -- 092654/Wellcome Trust/United Kingdom -- R01 AI050243/AI/NIAID NIH HHS/ -- R01 AI063508/AI/NIAID NIH HHS/ -- R01 AI073745/AI/NIAID NIH HHS/ -- R01 AI076584/AI/NIAID NIH HHS/ -- R01 AI080799/AI/NIAID NIH HHS/ -- R01 AI104956/AI/NIAID NIH HHS/ -- R21 AI101459/AI/NIAID NIH HHS/ -- R56 AI107263/AI/NIAID NIH HHS/ -- SC1 AI109055/AI/NIAID NIH HHS/ -- U19 AI089686/AI/NIAID NIH HHS/ -- U19 AI110818/AI/NIAID NIH HHS/ -- U41 HG007234/HG/NHGRI NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2015 Jan 2;347(6217):1258522. doi: 10.1126/science.1258522. Epub 2014 Nov 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA. neafsey@broadinstitute.org nbesansk@nd.edu. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland. ; Department of Medical Entomology and Vector Control, School of Public Health and Institute of Health Researches, Tehran University of Medical Sciences, Tehran, Iran. ; George Washington University, Department of Mathematics and Computational Biology Institute, 45085 University Drive, Ashburn, VA 20147, USA. ; European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. ; National Vector Borne Disease Control Programme, Ministry of Health, Tafea Province, Vanuatu. ; Department of Public Health and Infectious Diseases, Division of Parasitology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy. ; Department of Biological Sciences, California State Polytechnic-Pomona, 3801 West Temple Avenue, Pomona, CA 91768, USA. ; Tomsk State University, 36 Lenina Avenue, Tomsk, Russia. ; Department of Computer Science and Engineering, Eck Institute for Global Health, 211B Cushing Hall, University of Notre Dame, Notre Dame, IN 46556, USA. ; Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA. ; Inserm, U963, F-67084 Strasbourg, France. CNRS, UPR9022, IBMC, F-67084 Strasbourg, France. ; Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. ; Faculty of Medicine, Health and Molecular Science, Australian Institute of Tropical Health Medicine, James Cook University, Cairns 4870, Australia. ; Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot SL5 7PY, UK. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. ; Department of Mathematics, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada. ; Department of Entomology and Nematology, One Shields Avenue, University of California-Davis, Davis, CA 95616, USA. ; Institut de Recherche pour le Developpement, Unites Mixtes de Recherche Maladies Infectieuses et Vecteurs Ecologie, Genetique, Evolution et Controle, 911, Avenue Agropolis, BP 64501 Montpellier, France. ; Division of Biology, Kansas State University, 271 Chalmers Hall, Manhattan, KS 66506, USA. ; Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece. ; Centre of Functional Genomics, University of Perugia, Perugia, Italy. ; Genomics Platform, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA. ; Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou 01 BP 2208, Burkina Faso. ; Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; School of Life Sciences, University of Nevada, Las Vegas, NV 89154, USA. ; Department of Medical Research, No. 5 Ziwaka Road, Dagon Township, Yangon 11191, Myanmar. ; European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA. ; Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA. ; Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA. Dipartimento di Medicina Sperimentale e Scienze Biochimiche, Universita degli Studi di Perugia, Perugia, Italy. ; Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; Computational Evolutionary Biology Group, Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK. ; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94143, USA. ; Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Bioinformatics Research Laboratory, Department of Biological Sciences, New Campus, University of Cyprus, CY 1678 Nicosia, Cyprus. ; Wits Research Institute for Malaria, Faculty of Health Sciences, and Vector Control Reference Unit, National Institute for Communicable Diseases of the National Health Laboratory Service, Sandringham 2131, Johannesburg, South Africa. ; National Museums of Kenya, P.O. Box 40658-00100, Nairobi, Kenya. ; Department of Biology, University of Crete, 700 13 Heraklion, Greece. ; Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA. ; Virginia Bioinformatics Institute, 1015 Life Science Circle, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; Kenya Medical Research Institute-Wellcome Trust Research Programme, Centre for Geographic Medicine Research - Coast, P.O. Box 230-80108, Kilifi, Kenya. ; Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA. ; Department of Entomology, 1140 East South Campus Drive, Forbes 410, University of Arizona, Tucson, AZ 85721, USA. ; Department of Medical Microbiology and Immunology, School of Medicine, University of California Davis, One Shields Avenue, Davis, CA 95616, USA. ; Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Centre of Functional Genomics, University of Perugia, Perugia, Italy. ; Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, 3800 Spruce Street, Philadelphia, PA 19104, USA. ; Regional Medical Research Centre NE, Indian Council of Medical Research, P.O. Box 105, Dibrugarh-786 001, Assam, India. ; Department of Biology, New Mexico State University, Las Cruces, NM 88003, USA. Molecular Biology Program, New Mexico State University, Las Cruces, NM 88003, USA. ; Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK. ; Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN 37235, USA. ; Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN 37235, USA. Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA. ; Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland. ; Department of Entomology, Texas A&M University, College Station, TX 77807, USA. ; Department of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand. ; Fundacao Oswaldo Cruz, Avenida Brasil 4365, RJ Brazil. Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil. ; School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA. ; Department of Physiology, School of Medicine, Center for Research in Molecular Medicine and Chronic Diseases, Instituto de Investigaciones Sanitarias, University of Santiago de Compostela, Santiago de Compostela, A Coruna, Spain. ; Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK. ; School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool L3 3AF, UK. ; Department of Cellular Biology, University of Georgia, Athens, GA 30602, USA. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. Department of Computer Science, Harvey Mudd College, Claremont, CA 91711, USA. ; Program in Public Health, College of Health Sciences, University of California, Irvine, Hewitt Hall, Irvine, CA 92697, USA. ; Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA. ; Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK. Malaria Programme, Wellcome Trust Sanger Institute, Cambridge CB10 1SJ, UK. ; Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA. Centre of Evolutionary and Ecological Studies (Marine Evolution and Conservation group), University of Groningen, Nijenborgh 7, NL-9747 AG Groningen, Netherlands. ; Department of Molecular and Cellular Biology, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA. ; Department of Biology, Indiana University, Bloomington, IN 47405, USA. School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA. ; Centers for Disease Control and Prevention, 1600 Clifton Road NE MSG49, Atlanta, GA 30329, USA. ; Department of Biology, University of Crete, 700 13 Heraklion, Greece. Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece. Centre of Functional Genomics, University of Perugia, Perugia, Italy. ; Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA. Biogen Idec, 14 Cambridge Center, Cambridge, MA 02142, USA. ; Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, 12735 Twinbrook Parkway, Rockville, MD 20852, USA. ; Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; Departments of Biological Sciences and Pharmacology, Institutes for Chemical Biology, Genetics and Global Health, Vanderbilt University and Medical Center, Nashville, TN 37235, USA. ; Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA. neafsey@broadinstitute.org nbesansk@nd.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25554792" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Anopheles/classification/*genetics ; Base Sequence ; Chromosomes, Insect/genetics ; Drosophila/genetics ; *Evolution, Molecular ; *Genome, Insect ; Humans ; Insect Vectors/classification/*genetics ; Malaria/*transmission ; Molecular Sequence Data ; Phylogeny ; Sequence Alignment
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 14
    ISSN: 1089-7623
    Source: AIP Digital Archive
    Topics: Physics , Electrical Engineering, Measurement and Control Technology
    Notes: Many sensors have been applied to the problem of measuring neutral atomic oxygen fluxes in low Earth orbit. The techniques used to date tend to suffer from several key disadvantages, variously: large mass and power budgets, large size, high cost, the ability to make only one measurement and poor time resolution. In this article preliminary results from ground-based testing of a novel atomic oxygen sensor based on a semiconducting metal oxide are reported. Such sensors are simple and relatively cheap while also requiring small power and mass budgets and, most importantly, are reusable. The sensors have been used in laboratory experiments to investigate the axial variation of atomic oxygen flux in a pulsed laser atomic oxygen source; the results compare well with readings taken with a carbon-coated quartz crystal microbalance. A small instrument based on these sensors has been designed and built for application on the UK's STRV-1c microsatellite. © 1999 American Institute of Physics.
    Type of Medium: Electronic Resource
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  • 15
    Electronic Resource
    Electronic Resource
    Springer
    Solar physics 165 (1996), S. 337-346 
    ISSN: 1573-093X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract Analyses of the time-integrated fluxes of solar energetic particle events during the period 1965–1990 show that the differential distribution of events with flux F is given by a power law, with indices between 1.2 and 1.4 depending on energy. The power law represents a good fit over three to four orders of magnitude in fluence. Similar power-law distributions have been found for peak proton and electron fluxes, X-ray flares and radio and type III bursts. At fluences greater than 109 cm−2, the slope of the distribution steepens and beyond 1010 cm−2 the power-law index is estimated to be 3.5. At energies greater than 10 MeV, the slope of the distribution was found to be essentially independent of solar cycle, when the active years of solar cycles 20, 21, and 22 were analysed. The results presented are the first for a complete period of 27 years, covering nearly 3 complete solar cycles. Other new aspects of the results include the invariance of the exponent with solar cycle and also with integral energy.
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