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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.


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Journal ArticleDOI
05 Nov 1998-Nature
TL;DR: This core has a novel protein kinase structure, distinct from the serine/threonine/tyrosine kinase fold, with unanticipated similarities to both heat-shock protein 90 and DNA gyrase B.
Abstract: Bacteria live in capricious environments, in which they must continuously sense external conditions in order to adjust their shape, motility and physiology1. The histidine–aspartate phosphorelay signal-transduction system (also known as the two-component system) is important in cellular adaptation to environmental changes in both prokaryotes and lower eukaryotes2,3. In this system, protein histidine kinases function as sensors and signal transducers. The Escherichia coli osmosensor, EnvZ, is a transmembrane protein with histidine kinase activity in its cytoplasmic region2. The cytoplasmic region contains two functional domains4: domain A (residues 223–289) contains the conserved histidine residue (H243), a site of autophosphorylation as well as transphosphorylation to the conserved D55 residue of response regulator OmpR, whereas domain B (residues 290–450) encloses several highly conserved regions (G1, G2, F and N boxes) and is able to phosphorylate H243. Here we present the solution structure of domain B, the catalytic core of EnvZ. This core has a novel protein kinase structure, distinct from the serine/threonine/tyrosine kinase fold, with unanticipated similarities to both heat-shock protein 90 and DNA gyrase B.

274 citations

Journal ArticleDOI
TL;DR: TNFα initiates not only the initiation of inflammation and responses to injury, but also the subsequent epidermal repair, and the mechanisms and genes that achieve these outcomes are defined, both of which are important for TNFα-targeted therapies.

274 citations

Journal ArticleDOI
Mandy Y.M. Ng1, Douglas F. Levinson2, Stephen V. Faraone3, Brian K. Suarez4, Lynn E. DeLisi5, Lynn E. DeLisi6, Tadao Arinami7, Brien P. Riley8, Tiina Paunio9, Tiina Paunio10, A. E. Pulver11, Irmansyah12, Peter Holmans13, Michael Escamilla14, Dieter B. Wildenauer15, Nigel Williams13, Claudine Laurent16, Bryan J. Mowry17, Linda M. Brzustowicz18, Michel Maziade19, Pamela Sklar20, D L Garver21, Gonçalo R. Abecasis22, Bernard Lerer, M D Fallin11, Hugh Gurling23, Pablo V. Gejman24, Eva Lindholm25, Hans W. Moises26, William Byerley27, Ellen M. Wijsman28, Paola Forabosco1, Ming T. Tsuang20, Ming T. Tsuang29, H-G Hwu30, Yuji Okazaki31, Kenneth S. Kendler8, Brandon Wormley8, Ayman H. Fanous32, Ayman H. Fanous21, Dermot Walsh, Francis A. O'Neill33, Leena Peltonen, Gerald Nestadt11, Virginia K. Lasseter11, Kung-Yee Liang11, G M Papadimitriou34, Dimitris Dikeos34, Sibylle G. Schwab15, Michael John Owen13, Michael Conlon O'Donovan13, Nadine Norton13, Elizabeth Hare14, Henriette Raventós35, Humberto Nicolini36, Margot Albus, Wolfgang Maier37, Vishwajit L. Nimgaonkar38, Lars Terenius39, J. Mallet40, Melanie Jay16, Stephanie Godard41, Deborah A. Nertney17, M. Alexander2, Raymond R. Crowe42, Jeremy M. Silverman43, Anne S. Bassett44, M-A Roy19, Chantal Mérette19, Carlos N. Pato45, Michele T. Pato45, J. Louw Roos46, Yoav Kohn, Daniela Amann-Zalcenstein47, Gursharan Kalsi23, Andrew McQuillin23, David Curtis48, Jon Brynjolfson, Thordur Sigmundsson, Hannes Petursson, Alan R. Sanders24, Jubao Duan24, Elena Jazin25, Marina Myles-Worsley3, Maria Karayiorgou49, Cathryn M. Lewis1 
King's College London1, Stanford University2, State University of New York Upstate Medical University3, Washington University in St. Louis4, Nathan Kline Institute for Psychiatric Research5, New York University6, University of Tsukuba7, Virginia Commonwealth University8, National Institute for Health and Welfare9, University of Helsinki10, Johns Hopkins University11, University of Indonesia12, Cardiff University13, University of Texas Health Science Center at San Antonio14, University of Western Australia15, Pierre-and-Marie-Curie University16, University of Queensland17, Rutgers University18, Laval University19, Harvard University20, Veterans Health Administration21, University of Michigan22, University College London23, NorthShore University HealthSystem24, Uppsala University25, University of Kiel26, University of California, San Francisco27, University of Washington28, University of California, San Diego29, National Taiwan University30, Tokyo Metropolitan Matsuzawa Hospital31, Georgetown University32, Queen's University Belfast33, National and Kapodistrian University of Athens34, University of Costa Rica35, Universidad Autónoma de la Ciudad de México36, University of Bonn37, University of Pittsburgh38, Karolinska Institutet39, University of Paris40, French Institute of Health and Medical Research41, University of Iowa42, Icahn School of Medicine at Mount Sinai43, University of Toronto44, University of Southern California45, University of Pretoria46, Weizmann Institute of Science47, Queen Mary University of London48, Columbia University49
TL;DR: The primary analysis met empirical criteria for ‘aggregate’ genome-wide significance, indicating that some or all of 10 bins are likely to contain loci linked to SCZ, including regions of chromosomes 1, 2q, 3q, 4q, 5q, 8p and 10q.
Abstract: A genome scan meta-analysis (GSMA) was carried out on 32 independent genome-wide linkage scan analyses that included 3255 pedigrees with 7413 genotyped cases affected with schizophrenia (SCZ) or related disorders. The primary GSMA divided the autosomes into 120 bins, rank-ordered the bins within each study according to the most positive linkage result in each bin, summed these ranks (weighted for study size) for each bin across studies and determined the empirical probability of a given summed rank (P(SR)) by simulation. Suggestive evidence for linkage was observed in two single bins, on chromosomes 5q (142-168 Mb) and 2q (103-134 Mb). Genome-wide evidence for linkage was detected on chromosome 2q (119-152 Mb) when bin boundaries were shifted to the middle of the previous bins. The primary analysis met empirical criteria for 'aggregate' genome-wide significance, indicating that some or all of 10 bins are likely to contain loci linked to SCZ, including regions of chromosomes 1, 2q, 3q, 4q, 5q, 8p and 10q. In a secondary analysis of 22 studies of European-ancestry samples, suggestive evidence for linkage was observed on chromosome 8p (16-33 Mb). Although the newer genome-wide association methodology has greater power to detect weak associations to single common DNA sequence variants, linkage analysis can detect diverse genetic effects that segregate in families, including multiple rare variants within one locus or several weakly associated loci in the same region. Therefore, the regions supported by this meta-analysis deserve close attention in future studies.

274 citations

Journal ArticleDOI
Georges Aad1, Brad Abbott2, Jalal Abdallah3, S. Abdel Khalek4  +2868 moreInstitutions (187)
TL;DR: In this paper, an improved measurement of the mass of the Higgs boson is derived from a combined fit to the reconstructed invariant mass spectra of the decay channels H -> gamma gamma and H -> ZZ* -> 4l.
Abstract: An improved measurement of the mass of the Higgs boson is derived from a combined fit to the reconstructed invariant mass spectra of the decay channels H -> gamma gamma and H -> ZZ* -> 4l. The analysis uses the pp collision data sample recorded by the ATLAS experiment at the CERN Large Hadron Collider at center-of-mass energies of 7 TeV and 8 TeV, corresponding to an integrated luminosity of 25 fb(-1). The measured value of the Higgs boson mass is m(H) = 125.36 +/- 0.37(stat) +/- 0.18 (syst) GeV. This result is based on improved energy-scale calibrations for photons, electrons, and muons as well as other analysis improvements, and supersedes the previous result from ATLAS. Upper limits on the total width of the Higgs boson are derived from fits to the invariant mass spectra of the H -> gamma gamma and H -> ZZ* -> 4l decay channels.

274 citations

Journal ArticleDOI
TL;DR: Results indicate that BNPI and DNPI, which coordinate Na+‐dependent Pi transport in the neuron‐rich regions of the brain, may form a new class within the Na+/Pi cotransporter family.
Abstract: We have isolated a human cDNA encoding a protein, designated DNPI, that shows 82% amino acid identity and 92% similarity to the human brain-specific Na(+)-dependent inorganic phosphate (Na(+)/P(i)) cotransporter (BNPI), which is localized exclusively to neuron-rich regions. Expression of DNPI mRNA in Xenopus oocytes resulted in a significant increase in Na(+)-dependent P(i) transport, indicating that DNPI is a novel Na(+)/P(i) cotransporter. Northern blot analysis shows that DNPI mRNA is expressed predominantly in brain, where the highest levels are observed in medulla, substantia nigra, subthalamic nucleus, and thalamus, all of which express BNPI mRNA at low levels. In contrast, DNPI mRNA is expressed at low levels in cerebellum and hippocampus, where BNPI mRNA is expressed at high levels. No hybridizing signal for DNPI mRNA is observed in the glia-rich region of corpus callosum. In other regions examined, both mRNAs are moderately or highly expressed. These results indicate that BNPI and DNPI, which coordinate Na(+)-dependent P(i) transport in the neuron-rich regions of the brain, may form a new class within the Na(+)/P(i) cotransporter family.

274 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