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Institution

University of Geneva

EducationGeneva, Switzerland
About: University of Geneva is a education organization based out in Geneva, Switzerland. It is known for research contribution in the topics: Population & Planet. The organization has 26887 authors who have published 65265 publications receiving 2931373 citations. The organization is also known as: Geneva University & Universite de Geneve.
Topics: Population, Planet, Galaxy, Exoplanet, Stars


Papers
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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

Journal ArticleDOI
TL;DR: A new class of lipid-like delivery molecules, termed lipidoids, are described, that facilitate high levels of specific silencing of endogenous gene transcripts when formulated with either double-stranded small interfering RNA (siRNA) or single-Stranded antisense 2′-O-methyl (2′-OMe) oligoribonucleotides targeting microRNA (miRNA).
Abstract: The safe and effective delivery of RNA interference (RNAi) therapeutics remains an important challenge for clinical development. The diversity of current delivery materials remains limited, in part because of their slow, multi-step syntheses. Here we describe a new class of lipid-like delivery molecules, termed lipidoids, as delivery agents for RNAi therapeutics. Chemical methods were developed to allow the rapid synthesis of a large library of over 1,200 structurally diverse lipidoids. From this library, we identified lipidoids that facilitate high levels of specific silencing of endogenous gene transcripts when formulated with either double-stranded small interfering RNA (siRNA) or single-stranded antisense 2'-O-methyl (2'-OMe) oligoribonucleotides targeting microRNA (miRNA). The safety and efficacy of lipidoids were evaluated in three animal models: mice, rats and nonhuman primates. The studies reported here suggest that these materials may have broad utility for both local and systemic delivery of RNA therapeutics.

1,127 citations

Journal ArticleDOI
Peter A. R. Ade1, Nabila Aghanim2, C. Armitage-Caplan3, Monique Arnaud4  +273 moreInstitutions (59)
TL;DR: In this article, the authors characterized the effective beams, the effective beam window functions and the associated errors for the Planck High Frequency Instrument (HFI) detectors, including the effect of the optics, detectors, data processing and the scan strategy.
Abstract: This paper characterizes the effective beams, the effective beam window functions and the associated errors for the Planck High Frequency Instrument (HFI) detectors. The effective beam is the angular response including the effect of the optics, detectors, data processing and the scan strategy. The window function is the representation of this beam in the harmonic domain which is required to recover an unbiased measurement of the cosmic microwave background angular power spectrum. The HFI is a scanning instrument and its effective beams are the convolution of: a) the optical response of the telescope and feeds; b) the processing of the time-ordered data and deconvolution of the bolometric and electronic transfer function; and c) the merging of several surveys to produce maps. The time response transfer functions are measured using observations of Jupiter and Saturn and by minimizing survey difference residuals. The scanning beam is the post-deconvolution angular response of the instrument, and is characterized with observations of Mars. The main beam solid angles are determined to better than 0.5% at each HFI frequency band. Observations of Jupiter and Saturn limit near sidelobes (within 5 degrees) to about 0.1% of the total solid angle. Time response residuals remain as long tails in the scanning beams, but contribute less than 0.1% of the total solid angle. The bias and uncertainty in the beam products are estimated using ensembles of simulated planet observations that include the impact of instrumental noise and known systematic effects. The correlation structure of these ensembles is well-described by five errors eigenmodes that are sub-dominant to sample variance and instrumental noise in the harmonic domain. A suite of consistency tests provide confidence that the error model represents a sufficient description of the data. The total error in the effective beam window functions is below 1% at 100 GHz up to multiple l similar to 1500, below 0.5% at 143 and 217 GHz up to l similar to 2000.

1,124 citations

Journal ArticleDOI
Jörg Ederle1, Joanna Dobson2, Joanna Dobson1, Roland L Featherstone1  +348 moreInstitutions (40)
TL;DR: Completion of long-term follow-up is needed to establish the efficacy of carotid artery stenting compared with endarterectomy, but in the meantime, carotin artery stent should remain the treatment of choice for patients suitable for surgery.

1,115 citations

Journal ArticleDOI
Vishvanath Nene1, Jennifer R. Wortman1, Daniel Lawson, Brian J. Haas1, Chinnappa D. Kodira2, Zhijian Jake Tu3, Brendan J. Loftus, Zhiyong Xi4, Karyn Megy, Manfred Grabherr2, Quinghu Ren1, Evgeny M. Zdobnov, Neil F. Lobo5, Kathryn S. Campbell6, Susan E. Brown7, Maria de Fatima Bonaldo8, Jingsong Zhu9, Steven P. Sinkins10, David G. Hogenkamp11, Paolo Amedeo1, Peter Arensburger9, Peter W. Atkinson9, Shelby L. Bidwell1, Jim Biedler3, Ewan Birney, Robert V. Bruggner5, Javier Costas, Monique R. Coy3, Jonathan Crabtree1, Matt Crawford2, Becky deBruyn5, David DeCaprio2, Karin Eiglmeier12, Eric Eisenstadt1, Hamza El-Dorry13, William M. Gelbart6, Suely Lopes Gomes13, Martin Hammond, Linda Hannick1, James R. Hogan5, Michael H. Holmes1, David M. Jaffe2, J. Spencer Johnston, Ryan C. Kennedy5, Hean Koo1, Saul A. Kravitz, Evgenia V. Kriventseva14, David Kulp15, Kurt LaButti2, Eduardo Lee1, Song Li3, Diane D. Lovin5, Chunhong Mao3, Evan Mauceli2, Carlos Frederico Martins Menck13, Jason R. Miller1, Philip Montgomery2, Akio Mori5, Ana L. T. O. Nascimento16, Horacio Naveira17, Chad Nusbaum2, Sinéad B. O'Leary2, Joshua Orvis1, Mihaela Pertea, Hadi Quesneville, Kyanne R. Reidenbach11, Yu-Hui Rogers, Charles Roth12, Jennifer R. Schneider5, Michael C. Schatz, Martin Shumway1, Mario Stanke, Eric O. Stinson5, Jose M. C. Tubio, Janice P. Vanzee11, Sergio Verjovski-Almeida13, Doreen Werner18, Owen White1, Stefan Wyder14, Qiandong Zeng2, Qi Zhao1, Yongmei Zhao1, Catherine A. Hill11, Alexander S. Raikhel9, Marcelo B. Soares8, Dennis L. Knudson7, Norman H. Lee, James E. Galagan2, Steven L. Salzberg, Ian T. Paulsen1, George Dimopoulos4, Frank H. Collins5, Bruce W. Birren2, Claire M. Fraser-Liggett, David W. Severson5 
22 Jun 2007-Science
TL;DR: A draft sequence of the genome of Aedes aegypti, the primary vector for yellow fever and dengue fever, which at approximately 1376 million base pairs is about 5 times the size of the genomes of the malaria vector Anopheles gambiae was presented in this paper.
Abstract: We present a draft sequence of the genome of Aedes aegypti, the primary vector for yellow fever and dengue fever, which at approximately 1376 million base pairs is about 5 times the size of the genome of the malaria vector Anopheles gambiae. Nearly 50% of the Ae. aegypti genome consists of transposable elements. These contribute to a factor of approximately 4 to 6 increase in average gene length and in sizes of intergenic regions relative to An. gambiae and Drosophila melanogaster. Nonetheless, chromosomal synteny is generally maintained among all three insects, although conservation of orthologous gene order is higher (by a factor of approximately 2) between the mosquito species than between either of them and the fruit fly. An increase in genes encoding odorant binding, cytochrome P450, and cuticle domains relative to An. gambiae suggests that members of these protein families underpin some of the biological differences between the two mosquito species.

1,107 citations


Authors

Showing all 27203 results

NameH-indexPapersCitations
JoAnn E. Manson2701819258509
Joseph L. Goldstein207556149527
Kari Stefansson206794174819
David Baltimore203876162955
Mark I. McCarthy2001028187898
Michael S. Brown185422123723
Yang Gao1682047146301
Napoleone Ferrara167494140647
Marc Weber1672716153502
Alessandro Melchiorri151674116384
Andrew D. Hamilton1511334105439
David P. Strachan143472105256
Andrew Beretvas1411985110059
Rainer Wallny1411661105387
Josh Moss139101989255
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023171
2022520
20214,280
20204,142
20193,580
20183,395