Institution
University of Rennes
Education•Rennes, France•
About: University of Rennes is a education organization based out in Rennes, France. It is known for research contribution in the topics: Population & Crystal structure. The organization has 18404 authors who have published 40374 publications receiving 995327 citations.
Topics: Population, Crystal structure, Ruthenium, Catalysis, Antenna (radio)
Papers published on a yearly basis
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TL;DR: It is pointed out that the level of implication of the carbon rich ligand in the redox processes is very sensitive to the nature of the metal(s), the ancillary ligands and the carbon-rich ligand itself, and that this participation is frequently found to be major.
Abstract: In this Perspective, we highlight the non-innocent behaviour of the bridging ligand in organometallic polynuclear metallic complexes displaying metal-carbon σ bonds between the metallic units and a strongly coupled conjugated carbon-rich bridging ligand. With the help of representative experimental and theoretical studies on polymetallic systems, but also on monometallic complexes, we point out that the level of implication of the carbon rich ligand in the redox processes is very sensitive to the nature of (i) the metal(s), (ii) the ancillary ligands and (iii) the carbon-rich ligand itself, and that this participation is frequently found to be major. Consequently, the general denomination M((n + 1)) that is usually used for oxidized species gives the picture that only the metal density is affected, which is misleading. Moreover, for polymetallic species, these elements make the mixed valence denomination and the use of standard methodologies to rationalize intramolecular electron transfer, such as the Hush model inaccurate. Indeed, these theoretical treatments of mixed-valent complexes have at their core the assumption of metal-based redox state changes. Quantum mechanical calculations, coupled with spectroscopic methods, such as EPR spectroscopy, turn out to be a valuable suite of tools to both identify and better describe those systems with appreciable ligand redox non-innocent character. Finally, some examples and perspectives of applications for this carbon-rich type of complexes that take advantage of their peculiar electronic structure are presented.
165 citations
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TL;DR: It is shown that inhibition of IRE1’s RNase activity attenuates autocrine and paracrine signaling of pro-tumorigenic cytokines and synergizes with paclitaxel to confer potent anti-t tumor effects in TNBC.
Abstract: Triple-negative breast cancer (TNBC) lacks targeted therapies and has a worse prognosis than other breast cancer subtypes, underscoring an urgent need for new therapeutic targets and strategies. IRE1 is an endoplasmic reticulum (ER) stress sensor, whose activation is predominantly linked to the resolution of ER stress and, in the case of severe stress, to cell death. Here we demonstrate that constitutive IRE1 RNase activity contributes to basal production of pro-tumorigenic factors IL-6, IL-8, CXCL1, GM-CSF, and TGFβ2 in TNBC cells. We further show that the chemotherapeutic drug, paclitaxel, enhances IRE1 RNase activity and this contributes to paclitaxel-mediated expansion of tumor-initiating cells. In a xenograft mouse model of TNBC, inhibition of IRE1 RNase activity increases paclitaxel-mediated tumor suppression and delays tumor relapse post therapy. We therefore conclude that inclusion of IRE1 RNase inhibition in therapeutic strategies can enhance the effectiveness of current chemotherapeutics.
165 citations
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Max Planck Society1, University of Cádiz2, University of Nice Sophia Antipolis3, National University of Distance Education4, University of Liège5, National and Kapodistrian University of Athens6, INAF7, Royal Observatory of Belgium8, Pablo de Olavide University9, University of Rennes10, Centre national de la recherche scientifique11, Uppsala University12, Centre National D'Etudes Spatiales13, Niels Bohr Institute14, Tartu Observatory15, University of Catania16, European Southern Observatory17, Institut d'Astrophysique de Paris18, University of Paris19
TL;DR: In this article, the authors describe the data analysis system put together by the Gaia consortium to classify these objects and to infer their astrophysical properties using the satellite's data, covering single stars, (unresolved) binary stars, quasars, and galaxies, all covering a wide parameter space.
Abstract: The Gaia satellite will survey the entire celestial sphere down to 20th magnitude, obtaining astrometry, photometry, and low resolution spectrophotometry on one billion astronomical sources, plus radial velocities for over one hundred million stars. Its main objective is to take a census of the stellar content of our Galaxy, with the goal of revealing its formation and evolution. Gaia's unique feature is the measurement of parallaxes and proper motions with hitherto unparalleled accuracy for many objects. As a survey, the physical properties of most of these objects are unknown. Here we describe the data analysis system put together by the Gaia consortium to classify these objects and to infer their astrophysical properties using the satellite's data. This system covers single stars, (unresolved) binary stars, quasars, and galaxies, all covering a wide parameter space. Multiple methods are used for many types of stars, producing multiple results for the end user according to different models and assumptions. Prior to its application to real Gaia data the accuracy of these methods cannot be assessed definitively. But as an example of the current performance, we can attain internal accuracies (RMS residuals) on F,G,K,M dwarfs and giants at G=15 (V=15-17) for a wide range of metallicites and interstellar extinctions of around 100K in effective temperature (Teff), 0.1mag in extinction (A0), 0.2dex in metallicity ([Fe/H]), and 0.25dex in surface gravity (logg). The accuracy is a strong function of the parameters themselves, varying by a factor of more than two up or down over this parameter range. After its launch in November 2013, Gaia will nominally observe for five years, during which the system we describe will continue to evolve in light of experience with the real data.
164 citations
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TL;DR: Xenopus egg cDNA library clones corresponding to mRNAs which are deadenylated and released from polysomes soon after fertilization revealed that the corresponding protein has the characteristic features of a kinesin-related protein.
Abstract: By differential screening of a Xenopus egg cDNA library, we selected nine clones (Eg1 to Eg9) corresponding to mRNAs which are deadenylated and released from polysomes soon after fertilization. The sequence of one of these clones (Eg5) revealed that the corresponding protein has the characteristic features of a kinesin-related protein. More specifically, Eg5 was found to be nearly 30% identical to a kinesin-related protein encoded by bimc, a gene involved in nuclear division in Aspergillus nidulans.
164 citations
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TL;DR: In this paper, a restaurant where lemon and lavender aromas were diffused and compared to a no-aroma control condition was found to increase the length of stay of customers and the amount of purchasing.
164 citations
Authors
Showing all 18470 results
Name | H-index | Papers | Citations |
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Philippe Froguel | 166 | 820 | 118816 |
Bart Staels | 152 | 824 | 86638 |
Yi Yang | 143 | 2456 | 92268 |
Geoffrey Burnstock | 141 | 1488 | 99525 |
Shahrokh F. Shariat | 118 | 1637 | 58900 |
Lutz Ackermann | 116 | 669 | 45066 |
Douglas R. MacFarlane | 110 | 864 | 54236 |
Elliott H. Lieb | 107 | 512 | 57920 |
Fu-Yuan Wu | 107 | 367 | 42039 |
Didier Sornette | 104 | 1295 | 44157 |
Stefan Hild | 103 | 452 | 68228 |
Pierre I. Karakiewicz | 101 | 1207 | 40072 |
Philippe Dubois | 101 | 1098 | 48086 |
François Bondu | 100 | 440 | 69284 |
Jean-Michel Savéant | 98 | 517 | 33518 |