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Institution

Medical Research Council

GovernmentLondon, United Kingdom
About: Medical Research Council is a government organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Malaria. The organization has 16430 authors who have published 19150 publications receiving 1475494 citations.


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Journal ArticleDOI
TL;DR: GCaMP5 fluorescence provides a more reliable measure of neuronal activity than its predecessor GCaMP3, which allows more sensitive detection of neural activity in vivo and may find widespread applications for cellular imaging in general.
Abstract: Genetically encoded calcium indicators (GECIs) are powerful tools for systems neuroscience. Recent efforts in protein engineering have significantly increased the performance of GECIs. The state-of-the art single-wavelength GECI, GCaMP3, has been deployed in a number of model organisms and can reliably detect three or more action potentials in short bursts in several systems in vivo. Through protein structure determination, targeted mutagenesis, high-throughput screening, and a battery of in vitro assays, we have increased the dynamic range of GCaMP3 by severalfold, creating a family of “GCaMP5” sensors. We tested GCaMP5s in several systems: cultured neurons and astrocytes, mouse retina, and in vivo in Caenorhabditis chemosensory neurons, Drosophila larval neuromuscular junction and adult antennal lobe, zebrafish retina and tectum, and mouse visual cortex. Signal-to-noise ratio was improved by at least 2- to 3-fold. In the visual cortex, two GCaMP5 variants detected twice as many visual stimulus-responsive cells as GCaMP3. By combining in vivo imaging with electrophysiology we show that GCaMP5 fluorescence provides a more reliable measure of neuronal activity than its predecessor GCaMP3. GCaMP5 allows more sensitive detection of neural activity in vivo and may find widespread applications for cellular imaging in general.

1,179 citations

Journal ArticleDOI
TL;DR: The global number of deaths during the first 12 months of virus circulation in each country and the estimate of respiratory and cardiovascular mortality associated with the 2009 pandemic influenza A H1N1 was 15 times higher than reported laboratory-confirmed deaths.
Abstract: Summary Background 18 500 laboratory-confirmed deaths caused by the 2009 pandemic influenza A H1N1 were reported worldwide for the period April, 2009, to August, 2010. This number is likely to be only a fraction of the true number of the deaths associated with 2009 pandemic influenza A H1N1. We aimed to estimate the global number of deaths during the first 12 months of virus circulation in each country. Methods We calculated crude respiratory mortality rates associated with the 2009 pandemic influenza A H1N1 strain by age (0–17 years, 18–64 years, and >64 years) using the cumulative (12 months) virus-associated symptomatic attack rates from 12 countries and symptomatic case fatality ratios (sCFR) from five high-income countries. To adjust crude mortality rates for differences between countries in risk of death from influenza, we developed a respiratory mortality multiplier equal to the ratio of the median lower respiratory tract infection mortality rate in each WHO region mortality stratum to the median in countries with very low mortality. We calculated cardiovascular disease mortality rates associated with 2009 pandemic influenza A H1N1 infection with the ratio of excess deaths from cardiovascular and respiratory diseases during the pandemic in five countries and multiplied these values by the crude respiratory disease mortality rate associated with the virus. Respiratory and cardiovascular mortality rates associated with 2009 pandemic influenza A H1N1 were multiplied by age to calculate the number of associated deaths. Findings We estimate that globally there were 201 200 respiratory deaths (range 105 700–395 600) with an additional 83 300 cardiovascular deaths (46 000–179 900) associated with 2009 pandemic influenza A H1N1. 80% of the respiratory and cardiovascular deaths were in people younger than 65 years and 51% occurred in southeast Asia and Africa. Interpretation Our estimate of respiratory and cardiovascular mortality associated with the 2009 pandemic influenza A H1N1 was 15 times higher than reported laboratory-confirmed deaths. Although no estimates of sCFRs were available from Africa and southeast Asia, a disproportionate number of estimated pandemic deaths might have occurred in these regions. Therefore, efforts to prevent influenza need to effectively target these regions in future pandemics. Funding None.

1,170 citations

Journal ArticleDOI
06 Aug 2009-Nature
TL;DR: It is demonstrated that common schizophrenia susceptibility alleles can be detected and the characterization of these signals will suggest important directions for research on susceptibility mechanisms.
Abstract: Schizophrenia, a devastating psychiatric disorder, has a prevalence of 0.5-1%, with high heritability (80-85%) and complex transmission. Recent studies implicate rare, large, high-penetrance copy number variants in some cases, but the genes or biological mechanisms that underlie susceptibility are not known. Here we show that schizophrenia is significantly associated with single nucleotide polymorphisms (SNPs) in the extended major histocompatibility complex region on chromosome 6. We carried out a genome-wide association study of common SNPs in the Molecular Genetics of Schizophrenia (MGS) case-control sample, and then a meta-analysis of data from the MGS, International Schizophrenia Consortium and SGENE data sets. No MGS finding achieved genome-wide statistical significance. In the meta-analysis of European-ancestry subjects (8,008 cases, 19,077 controls), significant association with schizophrenia was observed in a region of linkage disequilibrium on chromosome 6p22.1 (P = 9.54 x 10(-9)). This region includes a histone gene cluster and several immunity-related genes--possibly implicating aetiological mechanisms involving chromatin modification, transcriptional regulation, autoimmunity and/or infection. These results demonstrate that common schizophrenia susceptibility alleles can be detected. The characterization of these signals will suggest important directions for research on susceptibility mechanisms.

1,151 citations

Journal ArticleDOI
Joshua A. Salomon1, Theo Vos, Daniel R Hogan1, Michael L. Gagnon1, Mohsen Naghavi2, Ali Mokdad2, Nazma Begum3, Razibuzzaman Shah1, Muhammad Karyana, Soewarta Kosen, Mario Reyna Farje, Gilberto Moncada, Arup Dutta, Sunil Sazawal, Andrew Dyer4, Jason F. S. Seiler4, Victor Aboyans, Lesley Baker2, Amanda J Baxter5, Emelia J. Benjamin6, Kavi Bhalla1, Aref A. Bin Abdulhak, Fiona M. Blyth, Rupert R A Bourne, Tasanee Braithwaite7, Peter Brooks, Traolach S. Brugha8, Claire Bryan-Hancock, Rachelle Buchbinder, Peter Burney9, Bianca Calabria10, Honglei Chen11, Sumeet S. Chugh12, Rebecca Cooley2, Michael H. Criqui13, Marita Cross5, Kaustubh Dabhadkar, Nabila Dahodwala14, Adrian Davis15, Louisa Degenhardt16, Cesar Diaz-Torne17, E. Ray Dorsey3, Tim Driscoll, Karen Edmond18, Alexis Elbaz19, Majid Ezzati20, Valery L. Feigin21, Cleusa P. Ferri22, Abraham D. Flaxman2, Louise Flood8, Marlene Fransen, Kana Fuse, Belinda J. Gabbe23, Richard F. Gillum24, Juanita A. Haagsma25, James Harrison8, Rasmus Havmoeller16, Roderick J. Hay26, Abdullah Hel-Baqui, Hans W. Hoek27, Howard J. Hoffman28, Emily Hogeland29, Damian G Hoy5, Deborah Jarvis2, Ganesan Karthikeyan1, Lisa M. Knowlton30, Tim Lathlean8, Janet L Leasher31, Stephen S Lim2, Steven E. Lipshultz32, Alan D. Lopez, Rafael Lozano2, Ronan A Lyons33, Reza Malekzadeh, Wagner Marcenes, Lyn March6, David J. Margolis14, Neil McGill, John J. McGrath34, George A. Mensah35, Ana-Claire Meyer, Catherine Michaud36, Andrew E. Moran, Rintaro Mori37, Michele E. Murdoch38, Luigi Naldi39, Charles R. Newton12, Rosana E. Norman, Saad B. Omer40, Richard H. Osborne, Neil Pearce18, Fernando Perez-Ruiz, Norberto Perico41, Konrad Pesudovs8, David Phillips42, Farshad Pourmalek43, Martin Prince, Jürgen Rehm, G. Remuzzi41, Kathryn Richardson, Robin Room44, Sukanta Saha45, Uchechukwu Sampson, Lidia Sanchez-Riera46, Maria Segui-Gomez47, Saeid Shahraz48, Kenji Shibuya, David Singh49, Karen Sliwa50, Emma Smith50, Isabelle Soerjomataram51, Timothy J. Steiner, Wilma A. Stolk, Lars Jacob Stovner, Christopher R. Sudfeld1, Hugh R. Taylor, Imad M. Tleyjeh4, Marieke J. van der Werf52, Wendy L. Watson53, David J. Weatherall12, Robert G. Weintraub, Marc G. Weisskopf1, Harvey Whiteford, James D. Wilkinson32, Anthony D. Woolf52, Zhi-Jie Zheng54, Christopher J L Murray2 
Harvard University1, University of Queensland2, Johns Hopkins University3, ICF International4, Centre for Mental Health5, Boston University6, University of Sydney7, University of Melbourne8, Imperial College London9, University of New South Wales10, University of California, San Diego11, Emory University12, University of Pennsylvania13, Autonomous University of Barcelona14, University of London15, National Institutes of Health16, French Institute of Health and Medical Research17, Medical Research Council18, Auckland University of Technology19, Federal University of São Paulo20, National Institute of Population and Social Security Research21, Howard University22, Flinders University23, Erasmus University Rotterdam24, King's College London25, Karolinska Institutet26, University of California, San Francisco27, All India Institute of Medical Sciences28, Nova Southeastern University29, University of Miami30, Swansea University31, Tehran University of Medical Sciences32, Queen Mary University of London33, Allen Institute for Brain Science34, University of Cape Town35, Columbia University36, Watford General Hospital37, Centro Studi GISED38, University of Oxford39, Deakin University40, University of British Columbia41, University of Toronto42, Box Hill Hospital43, Vanderbilt University44, University of Washington45, Brandeis University46, University of Tokyo47, The Queen's Medical Center48, Norwegian University of Science and Technology49, China Medical Board50, University of Cambridge51, Royal Cornwall Hospital52, Cedars-Sinai Medical Center53, Shanghai Jiao Tong University54
TL;DR: In this paper, a comprehensive re-estimation of disability weights for the Global Burden of Disease Study 2010 through a large-scale empirical investigation in which judgments about health losses associated with many causes of disease and injury were elicited from the general public in diverse communities through a new, standardised approach.

1,130 citations

Journal ArticleDOI
TL;DR: In this article, the authors present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes.
Abstract: In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.

1,129 citations


Authors

Showing all 16441 results

NameH-indexPapersCitations
Shizuo Akira2611308320561
Trevor W. Robbins2311137164437
Richard A. Flavell2311328205119
George Davey Smith2242540248373
Nicholas J. Wareham2121657204896
Cyrus Cooper2041869206782
Martin White1962038232387
Frank E. Speizer193636135891
Michael Rutter188676151592
Richard Peto183683231434
Terrie E. Moffitt182594150609
Kay-Tee Khaw1741389138782
Chris D. Frith173524130472
Phillip A. Sharp172614117126
Avshalom Caspi170524113583
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20236
20229
2021262
2020243
2019231
2018309