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Institution

University of Tsukuba

EducationTsukuba, Ibaraki, Japan
About: University of Tsukuba is a education organization based out in Tsukuba, Ibaraki, Japan. It is known for research contribution in the topics: Population & Gene. The organization has 36352 authors who have published 79483 publications receiving 1934752 citations. The organization is also known as: Tsukuba daigaku & Tsukuba University.


Papers
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Journal ArticleDOI
Georges Aad1, Brad Abbott2, Jalal Abdallah3, Ovsat Abdinov4  +2828 moreInstitutions (191)
TL;DR: In this article, the performance of the ATLAS muon identification and reconstruction using the first LHC dataset recorded at s√ = 13 TeV in 2015 was evaluated using the Monte Carlo simulations.
Abstract: This article documents the performance of the ATLAS muon identification and reconstruction using the first LHC dataset recorded at s√ = 13 TeV in 2015. Using a large sample of J/ψ→μμ and Z→μμ decays from 3.2 fb−1 of pp collision data, measurements of the reconstruction efficiency, as well as of the momentum scale and resolution, are presented and compared to Monte Carlo simulations. The reconstruction efficiency is measured to be close to 99% over most of the covered phase space (|η| 2.2, the pT resolution for muons from Z→μμ decays is 2.9% while the precision of the momentum scale for low-pT muons from J/ψ→μμ decays is about 0.2%.

440 citations

Journal ArticleDOI
TL;DR: It is shown that self-association is a general feature of Cul3 substrate adaptors and proposed that the fixed-ends mechanism is commonly utilized to recruit, orientate, and ubiquitylate substrates upon this family of ubiquitin ligases.

440 citations

Journal ArticleDOI
TL;DR: The results suggest that OsNHX1 on the tonoplasts plays important roles in the compartmentation of Na(+) and K(+) highly accumulated in the cytoplasm into the vacuoles, and the amount of the antiporter is one of the most important factors determining salt tolerance in rice.
Abstract: We examined the function and intracellular localization of the product of the Na(+)/H(+) antiporter gene (OsNHX1) cloned from rice (Oryza sativa). OsNHX1 has the ability to suppress Na(+), Li(+) and hygromycin sensitivity of yeast nhx1 mutants and sensitivity to a high K(+) concentration, a novel phenotype of the nhx1 mutants. Analysis using rice cells expressing a fusion protein of OsNHX1 and green fluorescent protein and Western blot analysis using antibodies specific for OsNHX1 confirmed the localization of OsNHX1 on the tonoplasts. These results indicate that the OsNHX1 gene encodes a vacuolar (Na(+), K(+))/H(+) antiporter. Treatment with high concentrations of NaCl and KCl increased the transcript levels of OsNHX1 in rice roots and shoots. In addition, overexpression of OsNHX1 improved the salt tolerance of transgenic rice cells and plants. These results suggest that OsNHX1 on the tonoplasts plays important roles in the compartmentation of Na(+) and K(+) highly accumulated in the cytoplasm into the vacuoles, and the amount of the antiporter is one of the most important factors determining salt tolerance in rice.

439 citations

Journal ArticleDOI
TL;DR: In this paper, a two-site substrate recognition model of the Keap1-Nrf2 system is presented, which regulates the cellular responses against oxidative and xenobiotic stresses.
Abstract: Cells are equipped with a number of transcriptional factors that safeguard against various environmental insults. Proteasomal protein degradation plays an important role in the Keap1-Nrf2 cytoprotection system, with molecular machinery similar to that for other environmental defense systems such as inflammatory and hypoxic responses. While Nrf2 protein stabilization is known to be redox-sensitive, the transcription factors NF-kappaB and HIF-1alpha for inflammatory and hypoxic responses, respectively, are also influenced by the cellular redox conditions. In this review we present the recently proposed two-site substrate recognition model of the Keap1-Nrf2 system, which regulates the cellular responses against oxidative and xenobiotic stresses. The implications of two destructive motifs in Nrf2, the ETGE and DLG motifs, which appear to function as a hinge and latch attenuating Keap1 activity in different redox states, are discussed.

439 citations

Journal ArticleDOI
Georges Aad1, Alexander Kupco2, P. Davison3, Samuel Webb4  +2888 moreInstitutions (192)
TL;DR: Topological cell clustering is established as a well-performing calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS and is exploited to apply a local energy calibration and corrections depending on the nature of the cluster.
Abstract: The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell signal-significance patterns generated by electromagnetic and hadronic showers. In this, the clustering algorithm implicitly performs a topological noise suppression by removing cells with insignificant signals which are not in close proximity to cells with significant signals. The resulting topological cell clusters have shape and location information, which is exploited to apply a local energy calibration and corrections depending on the nature of the cluster. Topological cell clustering is established as a well-performing calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS.

438 citations


Authors

Showing all 36572 results

NameH-indexPapersCitations
Aaron R. Folsom1811118134044
Kazuo Shinozaki178668128279
Hyun-Chul Kim1764076183227
Masayuki Yamamoto1711576123028
Hua Zhang1631503116769
Lewis L. Lanier15955486677
David Cella1561258106402
Takashi Taniguchi1522141110658
Yoshio Bando147123480883
Kazuhiko Hara1411956107697
Janet Rossant13841671913
Christoph Paus1371585100801
Kohei Miyazono13551568706
Craig Blocker134137994195
Fumihiko Ukegawa133149294465
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023104
2022323
20214,079
20203,887
20193,515
20183,388