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Correction to: 2021 Taxonomic update of phylum Negarnaviricota (Riboviria: Orthornavirae), including the large orders Bunyavirales and Mononegavirales

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Archives of virology 2021年第12期166卷 3567-3579页

作者： Jens H Kuhn Scott Adkins Bernard R Agwanda Rim Al Kubrusli Sergey V Alkhovsky Gaya K Amarasinghe Tatjana Avšič-Županc María A Ayllón Justin Bahl Anne Balkema-Buschmann Matthew J Ballinger Christopher F Basler Sina Bavari Martin Beer Nicolas Bejerman Andrew J Bennett Dennis A Bente Éric Bergeron Brian H Bird Carol D Blair Kim R Blasdell Dag-Ragnar Blystad Jamie Bojko Wayne B Borth Steven Bradfute Rachel Breyta Thomas Briese Paul A Brown Judith K Brown Ursula J Buchholz Michael J Buchmeier Alexander Bukreyev Felicity Burt Carmen Büttner Charles H Calisher Mengji Cao Inmaculada Casas Kartik Chandran Rémi N Charrel Qi Cheng Yuya Chiaki Marco Chiapello Il-Ryong Choi Marina Ciuffo J Christopher S Clegg Ian Crozier Elena Dal Bó Juan Carlos de la Torre Xavier de Lamballerie Rik L de Swart Humberto Debat Nolwenn M Dheilly Emiliano Di Cicco Nicholas Di Paola Francesco Di Serio Ralf G Dietzgen Michele Digiaro Olga Dolnik Michael A Drebot J Felix Drexler William G Dundon W Paul Duprex Ralf Dürrwald John M Dye Andrew J Easton Hideki Ebihara Toufic Elbeaino Koray Ergünay Hugh W Ferguson Anthony R Fooks Marco Forgia Pierre B H Formenty Jana Fránová Juliana Freitas-Astúa Jingjing Fu Stephanie Fürl Selma Gago-Zachert George Fú Gāo María Laura García Adolfo García-Sastre Aura R Garrison Thomas Gaskin Jean-Paul J Gonzalez Anthony Griffiths Tony L Goldberg Martin H Groschup Stephan Günther Roy A Hall John Hammond Tong Han Jussi Hepojoki Roger Hewson Jiang Hong Ni Hong Seiji Hongo Masayuki Horie John S Hu Tao Hu Holly R Hughes Florian Hüttner Timothy H Hyndman M Ilyas Risto Jalkanen Dàohóng Jiāng Gilda B Jonson Sandra Junglen Fujio Kadono Karia H Kaukinen Michael Kawate Boris Klempa Jonas Klingström Gary Kobinger Igor Koloniuk Hideki Kondō Eugene V Koonin Mart Krupovic Kenji Kubota Gael Kurath Lies Laenen Amy J Lambert Stanley L Langevin Benhur Lee Elliot J Lefkowitz Eric M Leroy Shaorong Li Longhui Li Jiànróng Lǐ Huazhen Liu Igor S Lukashevich Piet Maes William Marciel de Souza Marco Marklewitz Sergio H Marshall Shin-Yi L Marzano Se Integrated Research Facility at Fort Detrick National Institute of Allergy and Infectious Diseases National Institutes of Health Frederick MD USA. kuhnjens@mail.nih.gov. United States Department of Agriculture Agricultural Research Service US Horticultural Research Laboratory Fort Pierce FL USA. Zoology Department National Museums of Kenya Nairobi Kenya. Jomo Kenyatta University of Agriculture & Technology Nairobi Kenya. Division Phytomedicine Faculty of Life Sciences Humboldt-Universität zu Berlin Berlin Germany. D.I. Ivanovsky Institute of Virology of N.F. Gamaleya National Center on Epidemiology and Microbiology of Ministry of Health of Russian Federation Moscow Russia. Department of Pathology and Immunology Washington University School of Medicine St. Louis MO USA. Faculty of Medicine University of Ljubljana Ljubljana Slovenia. Centro de Biotecnología y Genómica de Plantas Universidad Politécnica de Madrid-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria Campus de Montegancedo Pozuelo de Alarcón Madrid Spain. Departamento de Biotecnología-Biología Vegetal Escuela Técnica Superior de Ingeniería Agronómica Alimentaria y de Biosistemas Universidad Politécnica de Madrid Madrid Spain. Center for Ecology of Infectious Diseases Department of Infectious Diseases Department of Epidemiology and Biostatistics Insitute of Bioinformatics University of Georgia Athens GA USA. Institute of Novel and Emerging Infectious Diseases Friedrich-Loeffler-Institut Federal Research Institute for Animal Health Greifswald-Insel Riems Germany. Department of Biological Sciences Mississippi State University Mississippi State MS USA. Center for Microbial Pathogenesis Institute for Biomedical Sciences Georgia State University Atlanta GA USA. Edge BioInnovation Consulting and Mgt Frederick MD USA. Institute of Diagnostic Virology Friedrich-Loeffler-Institut Greifswald-Insel Riems Germany. UFyMA INTA-CONICET Cordoba Argentina. Genomics and Bioinformatics D

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Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs

arXiv

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arXiv 2021年

作者： Sanders, Lauren M. Yang, Jason H. Scott, Ryan T. Qutub, Amina Ann Martin, Hector Garcia Berrios, Daniel C. Hastings, Jaden J.A. Rask, Jon Mackintosh, Graham Hoarfrost, Adrienne L. Chalk, Stuart Kalantari, John Khezeli, Kia Antonsen, Erik L. Babdor, Joel Barker, Richard Baranzini, Sergio E. Beheshti, Afshin Delgado-Aparicio, Guillermo M. Glicksberg, Benjamin S. Greene, Casey S. Haendel, Melissa Hamid, Arif A. Heller, Philip Jamieson, Daniel Jarvis, Katelyn J. Komarova, Svetlana V. Komorowski, Matthieu Kothiyal, Prachi Mahabal, Ashish Manor, Uri Mason, Christopher E. Matar, Mona Mias, George I. Miller, Jack Myers, Jerry G. Nelson, Charlotte Oribello, Jonathan Park, Seung-Min Parsons-Wingerter, Patricia Prabhu, R.K. Reynolds, Robert J. Saravia-Butler, Amanda Saria, Suchi Sawyer, Aenor Singh, Nitin Kumar Soboczenski, Frank Snyder, Michael Soman, Karthik Theriot, Corey A. van Valen, David Venkateswaran, Kasthuri Warren, Liz Worthey, Liz Zitnik, Marinka Costes, Sylvain V. Blue Marble Space Institute of Science Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States Center for Emerging and Re-Emerging Pathogens Department of Microbiology Biochemistry and Molecular Genetics Rutgers New Jersey Medical School NewarkNJ07103 United States KBR Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States AI MATRIX Consortium Department of Biomedical Engineering University of Texas San Antonio and UT Health Sciences San AntonioTX78249 United States Biological Systems and Engineering Division Lawrence Berkeley National Lab. BerkeleyCA94608 United States DOE Agile BioFoundry EmeryvilleCA94608 United States Joint BioEnergy Institute EmeryvilleCA94608 United States Department of Physiology and Biophysics Weill Cornell Medicine New YorkNY10065 United States Office of the Center Director NASA Ames Research Center Moffett Field CA94035 United States Bay Area Environmental Research Institute NASA Ames Research Center Moffett Field CA94035 United States Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States Department of Chemistry University of North Florida JacksonvilleFL32224 United States Center for Individualized Medicine Department of Surgery Department of Quantitative Health Sciences Mayo Clinic RochesterMN55905 United States Department of Emergency Medicine Center for Space Medicine Baylor College of Medicine HoustonTX77030 United States Department of Microbiology and Immunology Department of Otolaryngology Head and Neck Surgery University of California San Francisco San FranciscoCA94143 United States The Gilroy AstroBiology Research Group The University of Wisconsin - Madison MadisonWI53706 United States Weill Institute for Neurosciences Department of Neurology University of California San Francisco San FranciscoCA94158 United States Data Science Analytics Georgia Institute of Technology Lima15024

Space biology research aims to understand fundamental effects of spaceflight on organisms, develop foundational knowledge to support deep space exploration, and ultimately bioengineer spacecraft and habitats to stabilize the ecosystem of plants, crops, microbes, animals, and humans for sustained multi-planetary life. To advance these aims, the field leverages experiments, platforms, data, and model organisms from both spaceborne and ground-analog studies. As research is extended beyond low Earth orbit, experiments and platforms must be maximally autonomous, light, agile, and intelligent to expedite knowledge discovery. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration on artificial intelligence, machine learning, and modeling applications which offer key solutions toward these space biology challenges. In the next decade, the synthesis of artificial intelligence into the field of space biology will deepen the biological understanding of spaceflight effects, facilitate predictive modeling and analytics, support maximally autonomous and reproducible experiments, and efficiently manage spaceborne data and metadata, all with the goal to enable life to thrive in deep space. © 2021, CC BY.

关键词： Predictive analytics

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Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health

arXiv

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arXiv 2021年

作者： Scott, Ryan T. Antonsen, Erik L. Sanders, Lauren M. Hastings, Jaden J.A. Park, Seung-Min Mackintosh, Graham Reynolds, Robert J. Hoarfrost, Adrienne L. Sawyer, Aenor Greene, Casey S. Glicksberg, Benjamin S. Theriot, Corey A. Berrios, Daniel C. Miller, Jack Babdor, Joel Barker, Richard Baranzini, Sergio E. Beheshti, Afshin Chalk, Stuart Delgado-Aparicio, Guillermo M. Haendel, Melissa Hamid, Arif A. Heller, Philip Jamieson, Daniel Jarvis, Katelyn J. Kalantari, John Khezeli, Kia Komarova, Svetlana V. Komorowski, Matthieu Kothiyal, Prachi Mahabal, Ashish Manor, Uri Martin, Hector Garcia Mason, Christopher E. Matar, Mona Mias, George I. Myers, Jerry G. Nelson, Charlotte Oribello, Jonathan Parsons-Wingerter, Patricia Prabhu, R.K. Qutub, Amina Ann Rask, Jon Saravia-Butler, Amanda Saria, Suchi Singh, Nitin Kumar Soboczenski, Frank Snyder, Michael Soman, Karthik van Valen, David Venkateswaran, Kasthuri Warren, Liz Worthey, Liz Yang, Jason H. Zitnik, Marinka Costes, Sylvain V. KBR Space Biosciences Division NASA Ames Research Center Moffett FieldCA94035 United States Department of Emergency Medicine Center for Space Medicine Baylor College of Medicine HoustonTX77030 United States Blue Marble Space Institute of Science Space Biosciences Division NASA Ames Research Center Moffett FieldCA94035 United States Department of Physiology and Biophysics Weill Cornell Medicine New YorkNY10065 United States Department of Urology Department of Radiology Stanford University School of Medicine StanfordCA94305 United States Bay Area Environmental Research Institute NASA Ames Research Center Moffett FieldCA94035 United States Mortality Research & Consulting Inc. HoustonTX77058 United States Space Biosciences Division NASA Ames Research Center Moffett FieldCA94035 United States UC Space Health Department of Orthopaedic Surgery University of California San Francisco San FranciscoCA94143 United States Center for Health AI Department of Biochemistry and Molecular Genetics University of Colorado School of Medicine Anschutz Medical Campus AuroraCO80045 United States Hasso Plattner Institute for Digital Health at Mount Sinai Department of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai New YorkNY10065 United States Department of Preventive Medicine and Community Health UTMB GalvestonTX77551 United States Human Health and Performance Directorate NASA Johnson Space Center HoustonTX77058 United States Department of Microbiology and Immunology Department of Otolaryngology Head and Neck Surgery University of California San Francisco San FranciscoCA94143 United States The Gilroy AstroBiology Research Group The University of Wisconsin Madison MadisonWI53706 United States Weill Institute for Neurosciences Department of Neurology University of California San Francisco San FranciscoCA94158 United States Department of Chemistry University of North Florida JacksonvilleFL32224 United States Data Scienc

Human space exploration beyond low Earth orbit will involve missions of significant distance and duration. To effectively mitigate myriad space health hazards, paradigm shifts in data and space health systems are necessary to enable Earth-independence, rather than Earth-reliance. Promising developments in the fields of artificial intelligence and machine learning for biology and health can address these needs. We propose an appropriately autonomous and intelligent Precision Space Health system that will monitor, aggregate, and assess biomedical statuses;analyze and predict personalized adverse health outcomes;adapt and respond to newly accumulated data;and provide preventive, actionable, and timely insights to individual deep space crew members and iterative decision support to their crew medical officer. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration, on future applications of artificial intelligence in space biology and health. In the next decade, biomonitoring technology, biomarker science, spacecraft hardware, intelligent software, and streamlined data management must mature and be woven together into a Precision Space Health system to enable humanity to thrive in deep space. © 2021, CC BY.

关键词： Earth (planet)

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Phosphorylation of Atg31 is required for autophagy

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Protein & Cell 2015年第4期6卷 288-296页

作者： Wenzhi Feng Tong Wu Xiaoyu Dan Yuling Chen Lin Li She Chen Di Miao Haiteng Deng Xinqi Gong Li Yu PTN Program College of Life Science Peking University Beijing 100871 China State Key Laboratory of Biomembrane and Membrane Biotechnology Tsinghua University-Peking University Joint Center for Life Sciences School of Life Sciences Tsinghua University Beijing 100084 China Center for Biomedical Analysis Tsinghua University Beijing 100084 China National Institute of Biological Sciences Beijing 102206 China Institute for Mathematical-Sciences Renmin-University of China Beijing 100872 China

Autophagy is an evolutionarily conserved cellular pro- cess which degrades intracellular contents. The Atg17- Atg31-Atg29 complex plays a key role in autophagy in- duction by various stimuli. In yeast, autophagy occurs with autophagosome formation at a special site near the vacuole named the pre-autophagosomal structure （PAS）. The Atg17-Atg31-Atg29 complex forms a scaffold for PAS organization, and recruits other autophagy-re- lated （Atg） proteins to the PAS. Here, we show that Atg31 is a phosphorylated protein. The phosphorylation sites on Atg31 were identified by mass spectrometry. Analy- sis of mutants in which the phosphorylated amino acids were replaced by alanine, either individually or in var- ious combinations, identified S174 as the functional phosphorylation site. An S174A mutant showed a simi- lar degree of autophagy impairment as an Atg31 deletion mutant. S174 phosphorylation is required for autophagy induced by various autophagy stimuli such as nitrogen starvation and rapamycin treatment. Mass spectrometry analysis showed that S174 is phosphorylated constitu- tively, and expression of a phosphorylation-mimic mu- tant （S174D） in the Atg31 deletion strain restores autophagy. In the S174A mutant, Atg9-positive vesicles accumulate at the PAS. Thus, S174 phosphorylation is required for formation of autophagosomes, possibly by facilitating the recycling of Atg9 from the PAS. Our data demonstrate the role of phosphorylation of Atg31 in autophagy.

关键词： autophagy Atg31 phosphorylation,autophagosome pre-autophagosomal structure （PAS）

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Analysis of phosphorylation sites on autophagy proteins

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Protein & Cell 2015年第9期6卷 698-701页

作者： Wenzhi Feng Wenhao Zhang Hui Wang Lili Ma Di Miao Zexian Liu Yu Xue Haiteng Deng Li Yu PTN Program College of Life SciencePeking UniversityBeijing100871China Center for Biomedical Analysis Medical SchoolTsinghua UniversityBeijing100084China Key Laboratory of Cardiovascular Remodeling and Function Research Department of CardiologyQilu Hospital of Shandong UniversityJinan250012China Department of Biomedical Engineering College of Life Science and TechnologyHuazhong University of Science and TechnologyWuhan430074China State Key Laboratory of Biomembrane and Membrane Biotechnology Tsinghua University–Peking University Joint Center for Life SciencesSchool of Life SciencesTsinghua UniversityBeijing100084China

Autophagy is a lysosome-based degradation pathway,characterized by formation of a double-membrane vesicle named the *** autophagy,various cargos are engulfed and delivered to lysosomes(or the vacuole in yeast)for *** is an evolutionarily conserved pathway and plays important roles in various physiological and pathological conditions such as develop-ment,immunity,cancer and neuronal degeneration(Jiang and Mizushima,2014;Martin et al.,2014).

关键词：蛋白磷酸化自噬位点分析降解途径溶酶体双层膜液泡进化

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Author Correction: Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing

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Nature genetics 2019年第9期51卷 1423-1424页

作者： Brian W Kunkle Benjamin Grenier-Boley Rebecca Sims Joshua C Bis Vincent Damotte Adam C Naj Anne Boland Maria Vronskaya Sven J van der Lee Alexandre Amlie-Wolf Céline Bellenguez Aura Frizatti Vincent Chouraki Eden R Martin Kristel Sleegers Nandini Badarinarayan Johanna Jakobsdottir Kara L Hamilton-Nelson Sonia Moreno-Grau Robert Olaso Rachel Raybould Yuning Chen Amanda B Kuzma Mikko Hiltunen Taniesha Morgan Shahzad Ahmad Badri N Vardarajan Jacques Epelbaum Per Hoffmann Merce Boada Gary W Beecham Jean-Guillaume Garnier Denise Harold Annette L Fitzpatrick Otto Valladares Marie-Laure Moutet Amy Gerrish Albert V Smith Liming Qu Delphine Bacq Nicola Denning Xueqiu Jian Yi Zhao Maria Del Zompo Nick C Fox Seung-Hoan Choi Ignacio Mateo Joseph T Hughes Hieab H Adams John Malamon Florentino Sanchez-Garcia Yogen Patel Jennifer A Brody Beth A Dombroski Maria Candida Deniz Naranjo Makrina Daniilidou Gudny Eiriksdottir Shubhabrata Mukherjee David Wallon James Uphill Thor Aspelund Laura B Cantwell Fabienne Garzia Daniela Galimberti Edith Hofer Mariusz Butkiewicz Bertrand Fin Elio Scarpini Chloe Sarnowski Will S Bush Stéphane Meslage Johannes Kornhuber Charles C White Yuenjoo Song Robert C Barber Sebastiaan Engelborghs Sabrina Sordon Dina Voijnovic Perrie M Adams Rik Vandenberghe Manuel Mayhaus L Adrienne Cupples Marilyn S Albert Peter P De Deyn Wei Gu Jayanadra J Himali Duane Beekly Alessio Squassina Annette M Hartmann Adelina Orellana Deborah Blacker Eloy Rodriguez-Rodriguez Simon Lovestone Melissa E Garcia Rachelle S Doody Carmen Munoz-Fernadez Rebecca Sussams Honghuang Lin Thomas J Fairchild Yolanda A Benito Clive Holmes Hata Karamujić-Čomić Matthew P Frosch Hakan Thonberg Wolfgang Maier Gennady Roshchupkin Bernardino Ghetti Vilmantas Giedraitis Amit Kawalia Shuo Li Ryan M Huebinger Lena Kilander Susanne Moebus Isabel Hernández M Ilyas Kamboh RoseMarie Brundin James Turton Qiong Yang Mindy J Katz Letizia Concari Jenny Lord Alexa S Beiser C Dirk Keene Seppo Helisalmi Iwona Kloszewska Walter A Kukull Anne Maria Koivisto Aoibhin John P. Hussman Institute for Human Genomics University of Miami Miller School of Medicine Miami FL USA. bkunkle@miami.edu. Inserm U1167 RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases Lille France. Institut Pasteur de Lille Lille France. Univ. Lille U1167-Excellence Laboratory LabEx DISTALZ Lille France. Division of Psychological Medicine and Clinical Neurosciences MRC Centre for Neuropsychiatric Genetics and Genomics Cardiff University Cardiff UK. UK Dementia Research Institute at Cardiff Cardiff University Cardiff UK. Cardiovascular Health Research Unit Department of Medicine University of Washington Seattle WA USA. Department of Biostatistics and Epidemiology/Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Centre National de Recherche en Génomique Humaine Institut de Biologie François Jacob CEA Université Paris-Saclay and LabEx GENMED Evry France. Department of Epidemiology Erasmus Medical Center Rotterdam the Netherlands. Penn Neurodegeneration Genomics Center Department of Pathology and Laboratory Medicine University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Framingham Heart Study Framingham MA USA. Department of Neurology Boston University School of Medicine Boston MA USA. John P. Hussman Institute for Human Genomics University of Miami Miller School of Medicine Miami FL USA. Neurodegenerative Brain Diseases Group Center for Molecular Neurology VIB Antwerp Belgium. Laboratory for Neurogenetics Institute Born-Bunge University of Antwerp Antwerp Belgium. Icelandic Heart Association Kopavogur Iceland. Research Center and Memory Clinic of Fundació ACE Institut Català de Neurociències Aplicades-Universitat Internacional de Catalunya Barcelona Spain. Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas Instituto de Salud Carlos III Madrid Spain. Department of Biostatistics Boston University Sch

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Erratum to: The whole genome sequence of the Mediterranean fruit fly, Ceratitis capitata (Wiedemann), reveals insights into the biology and adaptive evolution of a highly invasive pest species

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Genome biology 2017年第1期18卷 11页

作者： Alexie Papanicolaou Marc F Schetelig Peter Arensburger Peter W Atkinson Joshua B Benoit Kostas Bourtzis Pedro Castañera John P Cavanaugh Hsu Chao Christopher Childers Ingrid Curril Huyen Dinh HarshaVardhan Doddapaneni Amanda Dolan Shannon Dugan Markus Friedrich Giuliano Gasperi Scott Geib Georgios Georgakilas Richard A Gibbs Sarah D Giers Ludvik M Gomulski Miguel González-Guzmán Ana Guillem-Amat Yi Han Artemis G Hatzigeorgiou Pedro Hernández-Crespo Daniel S T Hughes Jeffery W Jones Dimitra Karagkouni Panagiota Koskinioti Sandra L Lee Anna R Malacrida Mosè Manni Kostas Mathiopoulos Angela Meccariello Monica Munoz-Torres Shwetha C Murali Terence D Murphy Donna M Muzny Georg Oberhofer Félix Ortego Maria D Paraskevopoulou Monica Poelchau Jiaxin Qu Martin Reczko Hugh M Robertson Andrew J Rosendale Andrew E Rosselot Giuseppe Saccone Marco Salvemini Grazia Savini Patrick Schreiner Francesca Scolari Paolo Siciliano Sheina B Sim George Tsiamis Enric Ureña Ioannis S Vlachos John H Werren Ernst A Wimmer Kim C Worley Antigone Zacharopoulou Stephen Richards Alfred M Handler Hawkesbury Institute for the Environment Western Sydney University Sydney Australia. Justus-Liebig-University Giessen Institute for Insect Biotechnology 35394 Giessen Germany. Department of Biological Sciences Cal Poly Pomona Pomona CA 91768 USA. Department of Entomology and Center for Disease Vector Research University of California Riverside Riverside CA 92521 USA. Interdepartmental Graduate Program in Genetics Genomics & Bioinformatics University of California Riverside Riverside CA 92521 USA. Department of Biological Sciences University of Cincinnati Cincinnati OH 45221 USA. Insect Pest Control Laboratory Joint FAO/IAEA Programme of Nuclear Techniques in Food and Agriculture Seibersdorf Vienna Austria. Department of Environmental and Natural Resources Management University of Patras Agrinio Greece. Department of Environmental Biology Centro de Investigaciones Biológicas CSIC 28040 Madrid Spain. Human Genome Sequencing Center Department of Human and Molecular Genetics Baylor College of Medicine 77030 Houston TX USA. National Agricultural Library USDA 20705 Beltsville MD USA. Georg-August-Universität Göttingen Johann-Friedrich-Blumenbach-Institut für Zoologie und Anthropologie 37077 Göttingen Germany. Department of Biology University of Rochester 14627 Rochester NY USA. Department of Biological Sciences Wayne State University 48202 Detroit MI USA. Department of Biology and Biotechnology University of Pavia 27100 Pavia Italy. USDA-ARS Pacific Basin Agricultural Research Center 96720 Hilo HI USA. DIANA-Lab Department of Electrical & Computer Engineering University of Thessaly 382 21 Volos Greece and Hellenic Pasteur Institute 11521 Athens Greece. Department of Entomology University of Illinois at Urbana-Champaign 61801 Urbana IL USA. Department of Biological Sciences Oakland University 48309 Rochester MI USA. Department of Biochemistry and Biotechnology University of Thessaly Larissa Greece. Department of Biology Univer

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Research highlights

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Lab on a Chip 2013年第10期13卷 1842-1845页

作者： João Ribas Mark W. Tibbitt Mehmet R. Dokmeci Ali Khademhosseini Center for Biomedical Engineering Department of Medicine Brigham and Women's Hospital Harvard Medical School Cambridge Massachusetts 02139 USA Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA PhD Program in Experimental Biology and Biomedicine CNC-Center for Neuroscience and Cell Biology and Institute for Interdisciplinary Research (IIIUC) University of Coimbra 3004-517 Coimbra Portugal Biocant–Center of Innovation and Biotechnology 3060-197 Cantanhede Portugal Department of Chemical and Biological Engineering University of Colorado Boulder Colorado 80303 USA Wyss Institute for Biologically Inspired Engineering Harvard University Boston Massachusetts 02115 USA World Premier International–Advanced Institute for Materials Research (WPI-AIMR) Tohoku University Sendai 980-8577 Japan

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Research highlights

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Lab on a Chip 2013年第4期13卷 599-601页

作者： Francesco Piraino João Ribas Mehmet R. Dokmeci Ali Khademhosseini Bioengineering Department Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano Italy Center for Biomedical Engineering Department of Medicine Brigham and Women's Hospital Harvard Medical School Cambridge Massachusetts 02139 USA Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Biocant-Center of Innovation and Biotechnology 3060-197 Cantanhede Portugal PhD Program in Experimental Biology and Biomedicine CNC-Centre for Neuroscience and Cell Biology 3004-517 Coimbra Portugal Wyss Institute for Biologically Inspired Engineering Harvard University Boston Massachusetts 02115 USA World Premier International – Advanced Institute for Materials Research (WPI-AIMR) Tohoku University Sendai 980-8577 Japan

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