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Institution

University of Tokyo

EducationTokyo, Japan
About: University of Tokyo is a education organization based out in Tokyo, Japan. It is known for research contribution in the topics: Population & Gene. The organization has 134564 authors who have published 337567 publications receiving 10178620 citations. The organization is also known as: Todai & Universitas Tociensis.
Topics: Population, Gene, Catalysis, Magnetic field, Galaxy


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors measured the projected correlation function wp(rp), which is directly related to the real-space correlation function, and interpreted these results using halo occupation distribution (HOD) models assuming concordance cosmological parameters.
Abstract: Westudytheluminosityandcolordependenceofthegalaxytwo-pointcorrelationfunctionintheSloanDigitalSky Survey, starting from a sample of � 200,000 galaxies over 2500 deg 2 . We concentrate our analysis on volume-limited subsamples of specified luminosity ranges, for which we measure the projected correlation function wp(rp), which is directly related to the real-space correlation function � (r). The amplitude of wp(rp) rises continuously with luminosity from Mr �� 17: 5t oMr �� 22:5, with the most rapid increase occurring above the characteristic luminosity L� (Mr �� 20:5). Over the scales 0:1 h � 1 Mpc � 22 can be approximated, imperfectly, by power-law three-dimensional correlation functions � (r) ¼ (r/r0) � � with � � 1:8 and r0(L� ) � 5:0 h � 1 Mpc. The brightest subsample, � 23 < Mr < � 22, has a significantly steeper � (r). When we divide samples by color, redder galaxies exhibit a higher amplitude and steeper correlation function at all luminosities. The correlation amplitude of blue galaxies increases continuously with luminosity, but the luminosity dependence for red galaxies is less regular, with bright red galaxies exhibiting the strongest clustering at large scales and faint red galaxies exhibiting the strongest clustering at small scales. We interpret these results using halo occupation distribution (HOD) models assuming concordance cosmological parameters. For most samples, an HOD model with two adjustable parameters fits the wp(rp) data better than a power law, explaining inflections at rp � 1 3 h � 1 Mpc as the transition between the one-halo and two-halo regimes of � (r). The implied minimum mass for a halo hosting a central galaxy more luminous than L grows steadily, with Mmin / L at low luminosities and a steeper dependence above L� . The mass at which a halo has, on average, one satellite galaxy brighter than L is M1 � 23Mmin(L), at all luminosities. These results imply a conditional luminosity function (at fixed halo mass) in which central galaxies lie far above a Schechter function extrapolation of the satellite population. The HOD model fits nicely explain the color dependence of wp(rp) and the cross correlation between red and blue galaxies. For galaxies with Mr < � 21, halos slightly above Mmin have blue central galaxies, while more massive halos have red central galaxies and predominantly red satellite populations. The fraction of blue central galaxies increases steadily with decreasing luminosity and host halo mass. The strong clustering offaint red galaxies follows from the fact that nearly all of them are satellite systems in high-mass halos. The HOD fitting results are in good qualitative agreement with the predictions of numerical and semianalytic models of galaxy formation. Subject headingg cosmology: observations — cosmology: theory — galaxies: distances and redshifts — galaxies: halos — galaxies: statistics — large-scale structure of universe

809 citations

Journal ArticleDOI
Lorenzo Galluzzi1, J M Bravo-San Pedro2, Ilio Vitale, Stuart A. Aaronson3, John M. Abrams4, Dieter Adam5, Emad S. Alnemri6, Lucia Altucci7, David W. Andrews8, Margherita Annicchiarico-Petruzzelli, Eric H. Baehrecke9, Nicolas G. Bazan10, Mathieu J.M. Bertrand11, Mathieu J.M. Bertrand12, Katiuscia Bianchi13, Katiuscia Bianchi14, Mikhail V. Blagosklonny15, Klas Blomgren16, Christoph Borner17, Dale E. Bredesen18, Dale E. Bredesen19, Catherine Brenner20, Catherine Brenner21, Michelangelo Campanella22, Eleonora Candi23, Francesco Cecconi23, Francis Ka-Ming Chan9, Navdeep S. Chandel24, Emily H. Cheng25, Jerry E. Chipuk3, John A. Cidlowski26, Aaron Ciechanover27, Ted M. Dawson28, Valina L. Dawson28, V De Laurenzi29, R De Maria, Klaus-Michael Debatin30, N. Di Daniele23, Vishva M. Dixit31, Brian David Dynlacht32, Wafik S. El-Deiry33, Gian Maria Fimia34, Richard A. Flavell35, Simone Fulda36, Carmen Garrido37, Marie-Lise Gougeon38, Douglas R. Green, Hinrich Gronemeyer39, György Hajnóczky6, J M Hardwick28, Michael O. Hengartner40, Hidenori Ichijo41, Bertrand Joseph16, Philipp J. Jost42, Thomas Kaufmann43, Oliver Kepp2, Daniel J. Klionsky44, Richard A. Knight45, Richard A. Knight22, Sharad Kumar46, Sharad Kumar47, John J. Lemasters48, Beth Levine49, Beth Levine50, Andreas Linkermann5, Stuart A. Lipton, Richard A. Lockshin51, Carlos López-Otín52, Enrico Lugli, Frank Madeo53, Walter Malorni54, Jean-Christophe Marine55, Seamus J. Martin56, J-C Martinou57, Jan Paul Medema58, Pascal Meier, Sonia Melino23, Noboru Mizushima41, Ute M. Moll59, Cristina Muñoz-Pinedo, Gabriel Núñez44, Andrew Oberst60, Theocharis Panaretakis16, Josef M. Penninger, Marcus E. Peter24, Mauro Piacentini23, Paolo Pinton61, Jochen H. M. Prehn62, Hamsa Puthalakath63, Gabriel A. Rabinovich64, Kodi S. Ravichandran65, Rosario Rizzuto66, Cecília M. P. Rodrigues67, David C. Rubinsztein68, Thomas Rudel69, Yufang Shi70, Hans-Uwe Simon43, Brent R. Stockwell49, Brent R. Stockwell71, Gyorgy Szabadkai22, Gyorgy Szabadkai66, Stephen W.G. Tait72, H. L. Tang28, Nektarios Tavernarakis73, Nektarios Tavernarakis74, Yoshihide Tsujimoto, T Vanden Berghe12, T Vanden Berghe11, Peter Vandenabeele11, Peter Vandenabeele12, Andreas Villunger75, Erwin F. Wagner76, Henning Walczak22, Eileen White77, W. G. Wood78, Junying Yuan79, Zahra Zakeri80, Boris Zhivotovsky81, Boris Zhivotovsky16, Gerry Melino45, Gerry Melino23, Guido Kroemer1 
Paris Descartes University1, Institut Gustave Roussy2, Mount Sinai Hospital3, University of Texas Southwestern Medical Center4, University of Kiel5, Thomas Jefferson University6, Seconda Università degli Studi di Napoli7, University of Toronto8, University of Massachusetts Medical School9, Louisiana State University10, Ghent University11, Flanders Institute for Biotechnology12, Cancer Research UK13, Queen Mary University of London14, Roswell Park Cancer Institute15, Karolinska Institutet16, University of Freiburg17, Buck Institute for Research on Aging18, University of California, San Francisco19, French Institute of Health and Medical Research20, Université Paris-Saclay21, University College London22, University of Rome Tor Vergata23, Northwestern University24, Memorial Sloan Kettering Cancer Center25, National Institutes of Health26, Technion – Israel Institute of Technology27, Johns Hopkins University28, University of Chieti-Pescara29, University of Ulm30, Genentech31, New York University32, Pennsylvania State University33, University of Salento34, Yale University35, Goethe University Frankfurt36, University of Burgundy37, Pasteur Institute38, University of Strasbourg39, University of Zurich40, University of Tokyo41, Technische Universität München42, University of Bern43, University of Michigan44, Medical Research Council45, University of South Australia46, University of Adelaide47, Medical University of South Carolina48, Howard Hughes Medical Institute49, University of Texas at Dallas50, St. John's University51, University of Oviedo52, University of Graz53, Istituto Superiore di Sanità54, Katholieke Universiteit Leuven55, Trinity College, Dublin56, University of Geneva57, University of Amsterdam58, Stony Brook University59, University of Washington60, University of Ferrara61, Royal College of Surgeons in Ireland62, La Trobe University63, University of Buenos Aires64, University of Virginia65, University of Padua66, University of Lisbon67, University of Cambridge68, University of Würzburg69, Soochow University (Suzhou)70, Columbia University71, University of Glasgow72, University of Crete73, Foundation for Research & Technology – Hellas74, Innsbruck Medical University75, Carlos III Health Institute76, Rutgers University77, University of Minnesota78, Harvard University79, City University of New York80, Moscow State University81
TL;DR: The Nomenclature Committee on Cell Death formulates a set of recommendations to help scientists and researchers to discriminate between essential and accessory aspects of cell death.
Abstract: Cells exposed to extreme physicochemical or mechanical stimuli die in an uncontrollable manner, as a result of their immediate structural breakdown. Such an unavoidable variant of cellular demise is generally referred to as ‘accidental cell death’ (ACD). In most settings, however, cell death is initiated by a genetically encoded apparatus, correlating with the fact that its course can be altered by pharmacologic or genetic interventions. ‘Regulated cell death’ (RCD) can occur as part of physiologic programs or can be activated once adaptive responses to perturbations of the extracellular or intracellular microenvironment fail. The biochemical phenomena that accompany RCD may be harnessed to classify it into a few subtypes, which often (but not always) exhibit stereotyped morphologic features. Nonetheless, efficiently inhibiting the processes that are commonly thought to cause RCD, such as the activation of executioner caspases in the course of apoptosis, does not exert true cytoprotective effects in the mammalian system, but simply alters the kinetics of cellular demise as it shifts its morphologic and biochemical correlates. Conversely, bona fide cytoprotection can be achieved by inhibiting the transduction of lethal signals in the early phases of the process, when adaptive responses are still operational. Thus, the mechanisms that truly execute RCD may be less understood, less inhibitable and perhaps more homogeneous than previously thought. Here, the Nomenclature Committee on Cell Death formulates a set of recommendations to help scientists and researchers to discriminate between essential and accessory aspects of cell death.

809 citations

Journal ArticleDOI
TL;DR: Accumulation of BPA in early fetuses and significant exposure during the prenatal period are suggested, which must be considered in evaluating the potential for human exposure to endocrine-disrupting chemicals.
Abstract: Background There is broad human exposure to bisphenol A (BPA), an estrogenic endocrine-disrupting chemical widely used for the production of plastic products. BPA is reported to affect preimplantation embryos or fetuses and alter their postnatal development at doses typically found in the environment. We measured contamination of BPA in various kinds of human biological fluids by a novel enzyme-linked immunosorbent assay. Methods Blood samples were obtained from healthy premenopausal women, women with early and full-term pregnancy, and umbilical cord at full-term delivery. Ovarian follicular fluids obtained during IVF procedures and amniotic fluids obtained at mid-term and full-term pregnancy were also subject to BPA measurements. Results BPA was present in serum and follicular fluid at approximately 1-2 ng/ml, as well as in fetal serum and full-term amniotic fluid, confirming passage through the placenta. Surprisingly, an approximately 5-fold higher concentration, 8.3 +/- 8.7 ng/ml, was revealed in amniotic fluid at 15-18 weeks gestation, compared with other fluids. Conclusion These results suggest accumulation of BPA in early fetuses and significant exposure during the prenatal period, which must be considered in evaluating the potential for human exposure to endocrine-disrupting chemicals.

809 citations

Journal ArticleDOI
27 Jun 1986-Science
TL;DR: Although the c-erbB-2 protein was predicted to encode a protein very similar to epidermal growth factor (EGF) receptor, EGF did not stimulate this kinase activity either in vivo or in vitro.
Abstract: Antibodies were raised against a synthetic peptide corresponding to 14 amino acid residues at the COOH-terminus of a protein deduced from the human c-erbB-2 nucleotide sequence. These antibodies immunoprecipitated a 185-kilodalton glycoprotein from MKN-7 adenocarcinoma cells. Incubation of the immunoprecipitates with (gamma-32P)ATP resulted in the phosphorylation of this protein on tyrosine residues. These results indicate that the human c-erbB-2 gene product is the 185-kilodalton glycoprotein that is associated with tyrosine kinase activity. Although the c-erbB-2 protein was predicted to encode a protein very similar to epidermal growth factor (EGF) receptor, EGF did not stimulate this kinase activity either in vivo or in vitro.

809 citations

Journal ArticleDOI
TL;DR: A PPARgamma-dependent regulation of bone metabolism in vivo is demonstrated, in that PPargamma insufficiency increases bone mass by stimulating osteoblastogenesis from bone marrow progenitors.
Abstract: Based on the fact that aging is associated with a reciprocal decrease of osteogenesis and an increase of adipogenesis in bone marrow and that osteoblasts and adipocytes share a common progenitor, this study investigated the role of PPARγ, a key regulator of adipocyte differentiation, in bone metabolism. Homozygous PPARγ-deficient ES cells failed to differentiate into adipocytes, but spontaneously differentiated into osteoblasts, and these were restored by reintroduction of the PPARγ gene. Heterozygous PPARγ-deficient mice exhibited high bone mass with increased osteoblastogenesis, but normal osteoblast and osteoclast functions, and this effect was not mediated by insulin or leptin. The osteogenic effect of PPARγ haploinsufficiency became prominent with aging but was not changed upon ovariectomy. The PPARγ haploinsufficiency was confirmed to enhance osteoblastogenesis in the bone marrow cell culture but did not affect the cultures of differentiated osteoblasts or osteoclast-lineage cells. This study demonstrates a PPARγ-dependent regulation of bone metabolism in vivo, in that PPARγ insufficiency increases bone mass by stimulating osteoblastogenesis from bone marrow progenitors.

809 citations


Authors

Showing all 135252 results

NameH-indexPapersCitations
Ronald C. Kessler2741332328983
Donald P. Schneider2421622263641
George M. Whitesides2401739269833
Jing Wang1844046202769
Tadamitsu Kishimoto1811067130860
Yusuke Nakamura1792076160313
Dennis J. Selkoe177607145825
David L. Kaplan1771944146082
D. M. Strom1763167194314
Masayuki Yamamoto1711576123028
Krzysztof Matyjaszewski1691431128585
Yang Yang1642704144071
Qiang Zhang1611137100950
Kenji Kangawa1531117110059
Takashi Taniguchi1522141110658
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023354
20221,250
202112,943
202013,512
201912,656