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Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

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Nature genetics 2018年第5期50卷 766-767页

作者： Valérie Turcot Yingchang Lu Heather M Highland Claudia Schurmann Anne E Justice Rebecca S Fine Jonathan P Bradfield Tõnu Esko Ayush Giri Mariaelisa Graff Xiuqing Guo Audrey E Hendricks Tugce Karaderi Adelheid Lempradl Adam E Locke Anubha Mahajan Eirini Marouli Suthesh Sivapalaratnam Kristin L Young Tamuno Alfred Mary F Feitosa Nicholas G D Masca Alisa K Manning Carolina Medina-Gomez Poorva Mudgal Maggie C Y Ng Alex P Reiner Sailaja Vedantam Sara M Willems Thomas W Winkler Gonçalo Abecasis Katja K Aben Dewan S Alam Sameer E Alharthi Matthew Allison Philippe Amouyel Folkert W Asselbergs Paul L Auer Beverley Balkau Lia E Bang Inês Barroso Lisa Bastarache Marianne Benn Sven Bergmann Lawrence F Bielak Matthias Blüher Michael Boehnke Heiner Boeing Eric Boerwinkle Carsten A Böger Jette Bork-Jensen Michiel L Bots Erwin P Bottinger Donald W Bowden Ivan Brandslund Gerome Breen Murray H Brilliant Linda Broer Marco Brumat Amber A Burt Adam S Butterworth Peter T Campbell Stefania Cappellani David J Carey Eulalia Catamo Mark J Caulfield John C Chambers Daniel I Chasman Yii-Der I Chen Rajiv Chowdhury Cramer Christensen Audrey Y Chu Massimiliano Cocca Francis S Collins James P Cook Janie Corley Jordi Corominas Galbany Amanda J Cox David S Crosslin Gabriel Cuellar-Partida Angela D'Eustacchio John Danesh Gail Davies Paul I W Bakker Mark C H Groot Renée Mutsert Ian J Deary George Dedoussis Ellen W Demerath Martin Heijer Anneke I Hollander Hester M Ruijter Joe G Dennis Josh C Denny Emanuele Di Angelantonio Fotios Drenos Mengmeng Du Marie-Pierre Dubé Alison M Dunning Douglas F Easton Todd L Edwards David Ellinghaus Patrick T Ellinor Paul Elliott Evangelos Evangelou Aliki-Eleni Farmaki I Sadaf Farooqi Jessica D Faul Sascha Fauser Shuang Feng Ele Ferrannini Jean Ferrieres Jose C Florez Ian Ford Myriam Fornage Oscar H Franco Andre Franke Paul W Franks Nele Friedrich Ruth Frikke-Schmidt Tessel E Galesloot Wei Gan Ilaria Gandin Paolo Gasparini Jane Gibson Vilmantas Giedraitis Anette P Gjesing Penny Gordon-Larsen Mathias Gorski Hans-Jörgen Montreal Heart Institute Université de Montréal Montreal Quebec Canada. Division of Epidemiology Department of Medicine Vanderbilt-Ingram Cancer Center Vanderbilt Epidemiology Center Vanderbilt University School of Medicine Nashville TN USA. Charles Bronfman Institute for Personalized Medicine Icahn School of Medicine at Mount Sinai New York NY USA. Genetics of Obesity and Related Metabolic Traits Program Icahn School of Medicine at Mount Sinai New York NY USA. Department of Epidemiology University of North Carolina Chapel Hill NC USA. Human Genetics Center University of Texas School of Public Health University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences University of Texas Health Science Center at Houston Houston TX USA. Broad Institute of MIT and Harvard Cambridge MA USA. Department of Genetics Harvard Medical School Boston MA USA. Division of Endocrinology and Center for Basic and Translational Obesity Research Boston Children's Hospital Boston MA USA. Center for Applied Genomics Division of Human Genetics Children's Hospital of Philadelphia Philadelphia PA USA. Quantinuum Research LLC San Diego CA USA. Estonian Genome Center University of Tartu Tartu Estonia. Division of Epidemiology Department of Medicine Institute for Medicine and Public Health Vanderbilt Genetics Institute Vanderbilt University Nashville TN USA. Institute for Translational Genomics and Population Sciences LABioMed at Harbor-UCLA Medical Center Torrance CA USA. Wellcome Trust Sanger Institute Hinxton UK. Department of Mathematical and Statistical Sciences University of Colorado Denver CO USA. Wellcome Trust Centre for Human Genetics University of Oxford Oxford UK. Department of Biological Sciences Faculty of Arts and Sciences Eastern Mediterranean University Famagusta Cyprus. Max Planck Institute of Immunobiology and Epigenetics Freiburg Germany. Department of Biostatistics and Center for Statistical Genetics University of M

In the version of this article originally published, one of the two authors with the name Wei Zhao was omitted from the author list and the affiliations for both authors were assigned to the single Wei Zhao in the author list. In addition, the ORCID for Wei Zhao (department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA) was incorrectly assigned to author Wei Zhou. The errors have been corrected in the HTML and PDF versions of the article.

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Correction to: FLAGS, frequently mutated genes in public exomes

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BMC medical genomics 2017年第1期10卷 69页

作者： Casper Shyr Maja Tarailo-Graovac Michael Gottlieb Jessica Jy Lee Clara van Karnebeek Wyeth W Wasserman Centre for Molecular Medicine and Therapeutics Child and Family Research Institute Vancouver BC Canada. Treatable Intellectual Disability Endeavour in British Columbia Vancouver Canada. Bioinformatics Graduate Program University of British Columbia Vancouver BC Canada. Department of Medical Genetics University of British Columbia Vancouver BC Canada. Genome Science and Technology Graduate Program University of British Columbia Vancouver BC Canada. Division of Biochemical Diseases BC Children's Hospital Vancouver BC Canada. Department of Pediatrics University of British Columbia Vancouver BC Canada. Centre for Molecular Medicine and Therapeutics Child and Family Research Institute Vancouver BC Canada. wyeth@cmmt.ubc.ca. Department of Medical Genetics University of British Columbia Vancouver BC Canada. wyeth@cmmt.ubc.ca. Treatable Intellectual Disability Endeavour in British Columbia Vancouver Canada. wyeth@cmmt.ubc.ca.

Unfortunately, the original article [1] contained an error. The additional files were included incorrectly. The correct additional files 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 and 14 are published in this correction.

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Effects of gamma irradiation dose-rate on sterile male Aedesaegypti

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AIP Conference Proceedings 2017年第1期1854卷

作者： Beni Ernawan Usman Sumo Friend Tambunan Irawan Sugoro Hadian Iman Sasmita 1Center for Isotopes and Radiation Application-National Nuclear Energy Agency. Jl. Lebak Bulus Raya No. 49 Jakarta 12440 Indonesia. Tel. +62-21-7690709 Fax. +62-21-7691607 2Graduate Program Department of Chemistry Faculty of Mathematics and Natural Science University of Indonesia. Kampus UI Depok West Java 16424 Indonesia 3Bioinformatics Research Group Department of Chemistry Faculty of Mathematics and Natural Science University of Indonesia. Kampus UI Depok West Java 16424 Indonesia

Aedesaegypti is the most important vector for dengue, yellow fever and Zika viruses. Considering its medical importance, vector population control program utilizing radiation-based sterile insect technique (SIT) is one of the potential methods for preventing and limiting the dispersal of these viruses. The present study was undertaken to evaluate the dose-rates effects of γ-sterilization on quality parameters of sterile males. Males *** at the pupal stage were sterilized by applying 70 Gyγ-rays in varies dose-rates, i.e. 0 (control), 300, 600, 900, 1200 and 1500Gy/h utilizing panoramic irradiator. Adult males that emerged from the pupal stage were assessed for their quality parameters, which are the percentage of emergence, longevity, sterility and mating competitiveness. The results herein indicate that there was no major effect of dose-rate on the percentage of emergence, the data showedthat there were no differences between irradiated males compared with control. Generally, the longevity of irradiated males was lower compared to control. The data also demonstrated that longevity was significantly increased at the dose-rate from 300 to 900Gy/h, then decreased at the dose-rate 900 to 1500 Gy/h. Sterility of irradiated maleswas significantly different compared to control, while there was no significantly different at dose rate 300 to 1500 Gy/h. Mating competitiveness of irradiated males was increased at the dose rate from 300 to 1200 Gy/h, then the value was decreased significantly at the dose rate 1500 Gy/h. The dose-rate effects of γ-sterilization were discussed in the context genetic vector control, in particular, the SIT. The results give information and contribute to better understanding towards γ-sterilization optimization and quality parameters of sterile male Ae. aegypti on SIT methods.

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FragGeneScan-plus for scalable high-throughput short-read open reading frame prediction

FragGeneScan-plus for scalable high-throughput short-read op...

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IEEE Symposium on Computational Intelligence and bioinformatics and Computational Biology (CIBCB)

作者： Dongjae Kim Aria S. Hahn Shang-Ju Wu Niels W. Hanson Kishori M. Konwar Steven J. Hallam Department of Computer Science University of British Columbia Vancouver Canada Department of Microbiology University of British Columbia Vancouver Canada Graduate Program in Bioinformatics University of British Columbia Vancouver Canada

A fundamental step in the analysis of environmental sequence information is the prediction of potential genes or open reading frames (ORFs) encoding the metabolic potential of individual cells and entire microbial communities. FragGeneScan, a software designed to predict intact and incomplete ORFs on short sequencing reads combines codon usage bias, sequencing error models and start/stop codon patterns in a hidden Markov model to find the most likely path of hidden states from a given input sequence, provides a promising route for gene recovery in environmental datasets with incomplete assemblies. However, the current implementation of FragGeneScan does not scale efficiently with increasing input data size. Thus, FragGeneScan cannot be applied to contemporary environmental datasets that can exceed 100s of Gb. Here, we present FragGeneScan-Plus, an improved implementation of the FragGeneScan gene prediction model that leverages algorithmic thread synchronization and efficient in-memory data management to utilize multiple CPU cores without blocking I/O operations. FragGeneScan-Plus can process data approximately 5-times faster than FragGeneScan using a single core and approximately 50-times faster using eight hyper-threaded cores when benchmarked against simulated and real world environmental datasets.

关键词： Instruction sets Buffer storage Hidden Markov models Synchronization Predictive models Prediction algorithms Soil

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Assembly independent functional annotation of short-read data using SOFA: Short-ORF functional annotation

Assembly independent functional annotation of short-read dat...

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IEEE Symposium on Computational Intelligence and bioinformatics and Computational Biology (CIBCB)

作者： Aria S. Hahn Niels W. Hanson Dongjae Kim Kishori M. Konwar Steven J. Hallam Department of Microbiology University of British Columbia Vancouver Canada Graduate Program in Bioinformatics University of British Columbia Vancouver Canada Department of Computer Science University of British Columbia Vancouver Canada

Accurate description of the microbial communities driving matter and energy transformations in complex ecosystems such as soils cannot yet be effectively accomplished using assembly-based approaches despite the rise of next generation sequencing technologies. Here we present SOFA, an open source pipeline enabling comparative functional annotation of unassembled short-read data. The pipeline attempts to merge mate pairs in fastq files, predicts open reading frames (ORFs) on merged and unmerged reads as small as 70 bps, and completes an additional step, we term `deduplication'. Deduplication prevents the double counting of ORFs predicted from unmerged paired-end reads by checking for homologous annotations that span the same ORF, allowing for quantitatively accurate predictions. The effectiveness of SOFA is validated with both simulated and bone fide soil metagenomes, and empirical results are compared to existing strategies for obtaining accurate ORF counts, and an analytical model of read duplication. SOFA enables downstream processing stages within the existing MetaPathways pipeline, and is available for download as a stand alone application at https://*** under the MIT license.

关键词： bioinformatics Pipelines Genomics Databases Soil Proteins Assembly

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Reply: ATAD1 encephalopathy and stiff baby syndrome: a recognizable clinical presentation

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Brain : a journal of neurology 2018年第6期141卷 e50页

作者： Juliette Piard George K Essien Umanah Frederike L Harms Leire Abalde-Atristain Daniel Amram Melissa Chang Rong Chen Malik Alawi Vincenzo Salpietro Mark I Rees Seo-Kyung Chung Henry Houlden Alain Verloes Ted M Dawson Valina L Dawson Lionel Van Maldergem Kerstin Kutsche Centre de génétique humaine Université de Franche-Comté Besançon France. Integrative and Cognitive Neurosciences Research Unit EA481 University of Franche-Comté Besançon France. Neuroregeneration and Stem Cell Programs Institute for Cell Engineering Johns Hopkins University School of Medicine Baltimore MD 21205 USA. Department of Neurology Johns Hopkins University School of Medicine Baltimore MD 21205 USA. Institute of Human Genetics University Medical Center Hamburg-Eppendorf 20246 Hamburg Germany. Cellular and Molecular Medicine Graduate Program Johns Hopkins University School of Medicine Baltimore MD 21205 USA. Unité fonctionnelle de génétique clinique Centre hospitalier intercommunal Créteil France. University Medical Center Hamburg-Eppendorf Bioinformatics Core Facility 20246 Hamburg Germany. Heinrich-Pette-Institute Leibniz-Institute for Experimental Virology Virus Genomics Hamburg Germany. Department of Molecular Neuroscience UCL Institute of Neurology London UK. Neurology Research Group Institute of Life Science Swansea University Medical School Swansea University Swansea UK. Department of Genetics Robert-Debré Hospital Paris France. Solomon H. Snyder Department of Neuroscience Johns Hopkins University School of Medicine Baltimore MD 21205 USA. Department of Pharmacology and Molecular Sciences Johns Hopkins University School of Medicine Baltimore MD 21205 USA. Department of Physiology Johns Hopkins University School of Medicine Baltimore MD 21205 USA. Clinical Investigation Center 1431 National Institute of Health and Medical Research (INSERM) University of Franche-Comté Besançon France.

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Corrigendum to: Report: NIA Workshop on Measures of Physiologic Resiliencies in Human Aging

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The journals of gerontology. Series A, Biological sciences and medical sciences 2018年第7期73卷 995页

作者： Evan C Hadley George A Kuchel Anne B Newman Heather G Allore Jenna M Bartley Cindy S Bergeman Michael L Blinov Cathleen S Colon-Emeric Firdaus S Dabhar Laura L Dugan Chhanda Dutta Basil A Eldadah Luigi Ferrucci James L Kirkland Stephen B Kritchevsky Lewis A Lipsitz Neelesh K Nadkarni May J Reed Kenneth E Schmader Felipe Sierra Stephanie A Studenski Ravi Varadhan Jeremy D Walston Heather E Whitson Raymond Yung Division of Geriatrics and Clinical Gerontology National Institutes of Health National Institute on Aging Bethesda Maryland. Department of Medicine Center on Aging University of Connecticut Health Center Farmington. Department of Epidemiology University of Pittsburgh Graduate School of Public Health. Department of Medicine Division of Geriatric Medicine University of Pittsburgh School of Medicine Pennsylvania. Department of Internal Medicine Section of Geriatrics Yale University School of Medicine New Haven Connecticut. Department of Immunology Center on Aging University of Connecticut Health Center University of Connecticut Farmington. Department of Psychology University of Notre Dame Indiana. R. D. Berlin Center for Cell Analysis and Modeling University of Connecticut School of Medicine University of Connecticut Farmington. Duke University School of Medicine Duke University Medical Center. Durham VA Geriatric Research Education and Clinical Center North Carolina. Department of Psychiatry and Behavioral Sciences Stanford University School of Medicine Stanford University California. Department of Medicine Division of Geriatric Medicine Vanderbilt University School of Medicine Vanderbilt University Nashville Tennessee. Office of the Scientific Director National Institute on Aging National Institutes of Health Bethesda Maryland. Robert and Arlene Kogod Center on Aging Mayo Clinic College of Medicine Mayo Clinic Rochester Minnesota. Department of Gerontology and Geriatrics Sticht Center on Aging Wake Forest University School of Medicine Winston-Salem North Carolina. Beth Israel Deaconess Medical Center Harvard Medical School Boston. Institute for Aging Research Hebrew Senior Life Boston Massachusetts. Division of Geriatric Medicine Department of Internal Medicine School of Medicine University of Washington Seattle. Division of Geriatric Medicine Department of Medicine School of Medicine Duke University. Department of Veterans Affairs Medical Center Durham No

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FANTOM5 CAGE profiles of human and mouse samples

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Scientific Data 2017年第1期4卷 170112-170121页

作者： Noguchi, Shuhei Arakawa, Takahiro Fukuda, Shiro Furuno, Masaaki Hasegawa, Akira Hori, Fumi Ishikawa-Kato, Sachi Kaida, Kaoru Kaiho, Ai Kanamori-Katayama, Mutsumi Kawashima, Tsugumi Kojima, Miki Kubosaki, Atsutaka Manabe, Ri-Ichiroh Murata, Mitsuyoshi Nagao-Sato, Sayaka Nakazato, Kenichi Ninomiya, Noriko Nishiyori-Sueki, Hiromi Noma, Shohei Saijyo, Eri Saka, Akiko Sakai, Mizuho Simon, Christophe Suzuki, Naoko Tagami, Michihira Watanabe, Shoko Yoshida, Shigehiro Arner, Peter Axton, Richard A. Babina, Magda Kenneth Baillie, J. Barnett, Timothy C. Beckhouse, Anthony G. Blumenthal, Antje Bodega, Beatrice Bonetti, Alessandro Briggs, James Brombacher, Frank Carlisle, Ailsa J. Clevers, Hans C. Davis, Carrie A. Detmar, Michael Dohi, Taeko Edge, B. Albert S. Edinger, Matthias Ehrlund, Anna Ekwall, Karl Endoh, Mitsuhiro Enomoto, Hideki Eslami, Afsaneh Fagiolini, Michela Fairbairn, Lynsey Farach-Carson, Mary C. Faulkner, Geoffrey J. Ferrai, Carmelo Fisher, Malcolm E. Forrester, Lesley M. Fujita, Rie Furusawa, Jun-Ichi Geijtenbeek, Teunis B. Gingeras, Thomas Goldowitz, Daniel Guhl, Sven Guler, Reto Gustincich, Stefano Ha, Thomas J. Hamaguchi, Masahide Hara, Mitsuko Hasegawa, Yuki Herlyn, Meenhard Heutink, Peter Hitchens, Kelly J. Hume, David A. Ikawa, Tomokatsu Ishizu, Yuri Kai, Chieko Kawamoto, Hiroshi Kawamura, Yuki I. Kempfle, Judith S. Kenna, Tony J. Kere, Juha Khachigian, Levon M. Kitamura, Toshio Klein, Sarah Peter Klinken, S. Knox, Alan J. Kojima, Soichi Koseki, Haruhiko Koyasu, Shigeo Lee, Weonju Lennartsson, Andreas MacKay-Sim, Alan Mejhert, Niklas Mizuno, Yosuke Morikawa, Hiromasa Morimoto, Mitsuru Moro, Kazuyo Morris, Kelly J. Motohashi, Hozumi Mummery, Christine L. Nakachi, Yutaka Nakahara, Fumio Nakamura, Toshiyuki Nakamura, Yukio Nozaki, Tadasuke Ogishima, Soichi Ohkura, Naganari Ohno, Hiroshi Ohshima, Mitsuhiro Okada-Hatakeyama, Mariko Okazaki, Yasushi Orlando, Valerio Ovchinnikov, Dmitry A. Passier, Robert Patrikakis, Margaret Pombo, Ana Pradhan-Bhatt, Swati Qin, Xian-Yang Rehli, Michael Rizzu, Patrizia Roy, S Division of Genomic Technologies RIKEN Center for Life Science Technologies Yokohama Kanagawa 230-0045 Japan RIKEN Omics Science Center Yokohama Kanagawa 230-0045 Japan Department of Medicine Karolinska Institutet Stockholm 14186 Sweden Karolinska University Hospital Center for Metabolism and Endocrinology Stockholm 14186 Sweden Scottish Centre for Regenerative Medicine University of Edinburgh 5 Little France Drive Edinburgh EH164UU United Kingdom Department of Dermatology and Allergy Charite University Medicine Berlin Charitéplatz 1 Berlin 10117 Germany Roslin Institute and Royal School of Veterinary Studies University of Edinburgh Edinburgh EH259RG United Kingdom Australian Infectious Diseases Research Centre University of Queensland St Lucia 4072 QLD Australia School of Chemistry and Molecular Biosciences University of Queensland St Lucia 4072 QLD Australia Bio-Rad Laboratories Pty Ltd Hercules 94547 CA United States University of Queensland Diamantina Institute University of Queensland Woolloongabba 4102 QLD Australia IRCCS Fondazione Santa Lucia Via del Fosso di Fiorano 64 Rome 00143 Italy Australian Institute for Bioengineering and Nanotechnology University of Queensland Brisbane St Lucia 4072 QLD Australia Division of Immunology Institute of Infectious Diseases and Molecular Medicine University of Cape Town Anzio Road Observatory 7925 South Africa Immunology of Infectious Diseases Faculty of Health Sciences South African Medical Research Council University of Cape Town Anzio Road 7925 South Africa International Centre for Genetic Engineering and Biotechnology Cape Town Component Anzio Road 7925 South Africa Hubrecht Institute Royal Netherlands Academy of Arts and Sciences Uppsalalaan 8 3584 Netherlands University Medical Centre Utrecht Postbus 85500 Utrecht 3508 Netherlands Genomics Cold Spring Harbor Laboratory Cold Spring Harbor New York 11797 NY United States Institute of Pharmaceutical Sciences ETH Zurich Vladi

In the FANTOM5 project, transcription initiation events across the human and mouse genomes were mapped at a single base-pair resolution and their frequencies were monitored by CAGE (Cap Analysis of Gene Expression) coupled with single-molecule sequencing. Approximately three thousands of samples, consisting of a variety of primary cells, tissues, cell lines, and time series samples during cell activation and development, were subjected to a uniform pipeline of CAGE data production. The analysis pipeline started by measuring RNA extracts to assess their quality, and continued to CAGE library production by using a robotic or a manual workflow, single molecule sequencing, and computational processing to generate frequencies of transcription initiation. Resulting data represents the consequence of transcriptional regulation in each analyzed state of mammalian cells. Non-overlapping peaks over the CAGE profiles, approximately 200,000 and 150,000 peaks for the human and mouse genomes, were identified and annotated to provide precise location of known promoters as well as novel ones, and to quantify their activities.

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Computational systems biology of metabolism in single- and multi- species microbial systems

Computational systems biology of metabolism in single- and m...

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Liaison Functions 2014 - Core programming Area at the 2014 AIChE Annual Meeting

作者： Zomorrodi, Ali R. Department of Biomedical Engineering Graduate Program in Bioinformatics Boston University BostonMA United States

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Regulatory Mechanisms Controlling Mosquito Reproduction

Regulatory Mechanisms Controlling Mosquito Reproduction

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The 5th International Symposium on Insect Physiology, Biochemistry and Molecular Biology

作者： Alexander S.Raikhel Tusar Saha Sourav Roy Lisa Johnson Keira Lucas Shiping Liu Bo Zhao Vlastimil Smykal Xiufeng Zhang Sang Woon Shin Jisu Ha Wei Dou Vladimir Kokoza Zhen Zou Department of Entomology and Institute for Integrative Genome Biology University of California Riverside Graduate Program in Cell Molecular and Developmental BiologyUniversity of California Riverside Graduate Program in Genomics Genetics and BioinformaticsUniversity of California Riverside The State Key Laboratory of Silkworm Genome Biology Southwest University College of Plant Protection Southwest University State Key Laboratory of Integrated Management of Pest Insects and Rodents Institute of ZoologyChinese Academy of Sciences

Mosquitoes transmit numerous devastating diseases to humans and animals due to obligatory blood feeding that is required for egg development. Elucidating molecular mechanisms underlying mosquito reproduction is of paramount importance for devising novel control approaches. In addition, mosquitoes represent outstanding models for investigating these events in insects in general. Two major insect hormones-juvenile hormone(JH) and20-hydroxyecdysone(20E)-regulate a plethora of physiological processes. In female mosquitoes,these hormones are responsible for controlling sequential reproductive phases. Transcriptomic analyses combined with RNA interference depletions of JH receptor Methoprene-tolerant(Met)and Ecdysone receptor(EcR) have revealed functions of these hormone receptors in activation and repression of gene cohorts during previtellogenic and vitellogenic phases, respectively. We identified how JH receptor mediates JH action on gene expression in mosquitoes and devised an approach of studying the subunit composition of this receptor. Using this technique we screened numerous natural compounds and isolated several molecules that serve as strong disruptors of JH receptor and JH action, providing a basis for developing a novel class of insecticides. We extensively investigated the role of Ecdysone Receptor in regulation of gene expression,uncovering the complexity of the 20 E genetic hierarchy that controls vitellogenic phase of female mosquito reproduction. Understanding of the molecular mechanisms of Ecdysone receptor-dependent gene repression is of great importance for devising future control methodologies. Small non-coding RNAs belonging to the class of micro RNAs(miR NA) have been implicated in regulation of numerous cellular and physiological processes in animals and plants. However, relatively little is known about mi RNA roles in non-Drosophilid insects. We have developed systemic and transgenic approaches for analyzing functions of miR NAs in mosquito repro

关键词： juvenile hormone methoprene-tolerant 20-hydroxyecdysone ecdysone receptor vitellogenesis microRNA

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