Institution
Tokyo Institute of Technology
Education•Tokyo, Tôkyô, Japan•
About: Tokyo Institute of Technology is a education organization based out in Tokyo, Tôkyô, Japan. It is known for research contribution in the topics: Catalysis & Thin film. The organization has 46775 authors who have published 101656 publications receiving 2357893 citations. The organization is also known as: Tokyo Tech & Tokodai.
Topics: Catalysis, Thin film, Laser, Phase (matter), Polymerization
Papers published on a yearly basis
Papers
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TL;DR: It is demonstrated that the neutral sphyngomyelinase 2 (nSMase2) regulates exosomal microRNA (miRNA) secretion and promotes angiogenesis within the tumor microenvironment as well as metastasis, suggesting that the horizontal transfer of exosome miRNAs from cancer cells can dictate the microenviromental niche for the benefit of the cancer cell.
617 citations
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University of Copenhagen1, Lund University2, Molecular Medicine Partnership Unit3, ETH Zurich4, Fudan University5, German Cancer Research Center6, University of São Paulo7, University of Trento8, European Institute of Oncology9, Japan Society for the Promotion of Science10, Tokyo Institute of Technology11, University of Tokyo12, Osaka University13, National Presto Industries14, City University of New York15, National Institutes of Health16, Huntsman Cancer Institute17, University of Southern Denmark18
TL;DR: A meta-analysis of eight geographically and technically diverse fecal shotgun metagenomic studies of colorectal cancer identified a core set of 29 species significantly enriched in CRC metagenomes, establishing globally generalizable, predictive taxonomic and functional microbiome CRC signatures as a basis for future diagnostics.
Abstract: Association studies have linked microbiome alterations with many human diseases. However, they have not always reported consistent results, thereby necessitating cross-study comparisons. Here, a meta-analysis of eight geographically and technically diverse fecal shotgun metagenomic studies of colorectal cancer (CRC, n = 768), which was controlled for several confounders, identified a core set of 29 species significantly enriched in CRC metagenomes (false discovery rate (FDR) < 1 × 10−5). CRC signatures derived from single studies maintained their accuracy in other studies. By training on multiple studies, we improved detection accuracy and disease specificity for CRC. Functional analysis of CRC metagenomes revealed enriched protein and mucin catabolism genes and depleted carbohydrate degradation genes. Moreover, we inferred elevated production of secondary bile acids from CRC metagenomes, suggesting a metabolic link between cancer-associated gut microbes and a fat- and meat-rich diet. Through extensive validations, this meta-analysis firmly establishes globally generalizable, predictive taxonomic and functional microbiome CRC signatures as a basis for future diagnostics. Cross-study analysis defines fecal microbial species associated with colorectal cancer.
615 citations
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National Institutes of Natural Sciences, Japan1, National Institute of Information and Communications Technology2, Raman Research Institute3, Waseda University4, Osaka Institute of Technology5, Kyoto University6, Osaka City University7, Japan Aerospace Exploration Agency8, University of Electro-Communications9, Kindai University10, National Institute of Advanced Industrial Science and Technology11, Tokyo Institute of Technology12, Goddard Space Flight Center13, University of Tokyo14, Hiroshima University15, Ochanomizu University16, Liverpool John Moores University17, Nagoya University18, Nihon University19, Rikkyo University20, Tokyo Keizai University21, Yamanashi Eiwa College22, Rochester Institute of Technology23, Stanford University24, California Institute of Technology25, Hirosaki University26, Niigata University27, Tokai University28, Tohoku University29, Osaka University30, National Defense Academy of Japan31, University of Tübingen32, Hosei University33, University of Wisconsin–Milwaukee34, Tokyo University of Science35, University of Birmingham36
614 citations
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TL;DR: In this paper, the presence of structure-dependent edge states of graphite is revealed by both ambient and ultra-high-vacuum (UHV) scanning tunneling microscopy and scan tunneling spectroscopy observations.
Abstract: The presence of structure-dependent edge states of graphite is revealed by both ambient and ultrahigh-vacuum (UHV) scanning tunneling microscopy and scanning tunneling spectroscopy observations. On a hydrogenated zigzag (armchair) edge, bright spots are (are not) observed together with a $(\sqrt{3}\ifmmode\times\else\texttimes\fi{}\sqrt{3})R30\ifmmode^\circ\else\textdegree\fi{}$ superlattice near the Fermi level (${V}_{S}\ensuremath{\sim}\ensuremath{-}30\phantom{\rule{0.3em}{0ex}}\mathrm{mV}$ for a peak of the local density of states) under UHV, demonstrating that a zigzag edge is responsible for the edge states, although there is no appreciable difference between as-prepared zigzag and armchair edges in air. Even in the hydrogenated armchair edge, however, bright spots are observed at defect points, at which partial zigzag edges are created in the armchair edge.
613 citations
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University of California, Berkeley1, Alcatel-Lucent2, University of Southern California3, Georgia Institute of Technology4, University of Cambridge5, University at Buffalo6, University of Mainz7, University of Nottingham8, Northwestern University9, Rutgers University10, Plant & Food Research11, University of Arkansas System12, Tokyo Institute of Technology13
TL;DR: This article contains brief descriptive discussions of the key physical features of all new algorithms and theoretical models, together with sample calculations that illustrate their performance.
Abstract: Q-Chem 2.0 is a new release of an electronic structure programpackage, capable of performing first principles calculations on the ground andexcited states of molecules using both density functional theory and wavefunction-based methods. A review of the technical features contained withinQ-Chem 2.0 is presented. This article contains brief descriptive discussions of thekey physical features of all new algorithms and theoretical models, together withsample calculations that illustrate their performance. c 2000 John Wiley S electronic structure; density functional theory;computer program; computational chemistry Introduction A reader glancing casually at this article mightsuspect on the basis of its title that it is a thinlydisguised piece of marketing for a program pack-age. This is not the case. Rather, it is an attemptto document the key methodologies and algorithmsof our electronic structure program package, Q-Chem 2.0, in a complete and scientifically accurateway, with full references to the original literature.This is important for two principal reasons. First,while the use of electronic structure programs isburgeoning, many users of such programs do nothave much feel for the underlying algorithms thatmake large-scale calculations routine even on suchreadily available hardware as personal computers.Therefore, a link between the program package andthe original literature that is written at the level ofan introductory overview can be a useful bridge.Second, while citations of large-scale commercialprograms in published applications are tradition-ally part of the conditions of use of such codes, they
610 citations
Authors
Showing all 46967 results
Name | H-index | Papers | Citations |
---|---|---|---|
Matthew Meyerson | 194 | 553 | 243726 |
Yury Gogotsi | 171 | 956 | 144520 |
Masayuki Yamamoto | 171 | 1576 | 123028 |
H. Eugene Stanley | 154 | 1190 | 122321 |
Takashi Taniguchi | 152 | 2141 | 110658 |
Shu-Hong Yu | 144 | 799 | 70853 |
Kazunori Kataoka | 138 | 908 | 70412 |
Osamu Jinnouchi | 135 | 885 | 86104 |
Hector F. DeLuca | 133 | 1303 | 69395 |
Shlomo Havlin | 131 | 1013 | 83347 |
Hiroyuki Iwasaki | 131 | 1009 | 82739 |
Kazunari Domen | 130 | 908 | 77964 |
Hideo Hosono | 128 | 1549 | 100279 |
Hideyuki Okano | 128 | 1169 | 67148 |
Andreas Strasser | 128 | 509 | 66903 |