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Institution

Osaka University

EducationOsaka, Japan
About: Osaka University is a education organization based out in Osaka, Japan. It is known for research contribution in the topics: Laser & Catalysis. The organization has 83778 authors who have published 185669 publications receiving 5158122 citations. The organization is also known as: Ōsaka daigaku.
Topics: Laser, Catalysis, Population, Gene, Thin film


Papers
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Journal ArticleDOI
TL;DR: Findings provided evidence for the direct involvement of claudins in the barrier functions of TJs and the TJ barrier of MDCK I cells was downregulated by C-CPE in a dose-dependent manner.
Abstract: Claudins, comprising a multigene family, constitute tight junction (TJ) strands. Clostridium perfringens enterotoxin (CPE), a single ∼35-kD polypeptide, was reported to specifically bind to claudin-3/RVP1 and claudin-4/CPE-R at its COOH-terminal half. We examined the effects of the COOH-terminal half fragment of CPE (C-CPE) on TJs in L transfectants expressing claudin-1 to -4 (C1L to C4L, respectively), and in MDCK I cells expressing claudin-1 and -4. C-CPE bound to claudin-3 and -4 with high affinity, but not to claudin-1 or -2. In the presence of C-CPE, reconstituted TJ strands in C3L cells gradually disintegrated and disappeared from their cell surface. In MDCK I cells incubated with C-CPE, claudin-4 was selectively removed from TJs with its concomitant degradation. At 4 h after incubation with C-CPE, TJ strands were disintegrated, and the number of TJ strands and the complexity of their network were markedly decreased. In good agreement with the time course of these morphological changes, the TJ barrier (TER and paracellular flux) of MDCK I cells was downregulated by C-CPE in a dose-dependent manner. These findings provided evidence for the direct involvement of claudins in the barrier functions of TJs.

569 citations

Journal ArticleDOI
TL;DR: An integrated genotyping strategy was used to identify 4,853,802 single nucleotide polymorphisms (SNPs) and 1,296,080 non-SNP variants and identified 16 polymorphic inversions in the DGRP, finding variation in genome size and many quantitative traits are significantly associated with inversions.
Abstract: The Drosophila melanogaster Genetic Reference Panel (DGRP) is a community resource of 205 sequenced inbred lines, derived to improve our understanding of the effects of naturally occurring genetic variation on molecular and organismal phenotypes. We used an integrated genotyping strategy to identify 4,853,802 single nucleotide polymorphisms (SNPs) and 1,296,080 non-SNP variants. Our molecular population genomic analyses show higher deletion than insertion mutation rates and stronger purifying selection on deletions. Weaker selection on insertions than deletions is consistent with our observed distribution of genome size determined by flow cytometry, which is skewed toward larger genomes. Insertion/deletion and single nucleotide polymorphisms are positively correlated with each other and with local recombination, suggesting that their nonrandom distributions are due to hitchhiking and background selection. Our cytogenetic analysis identified 16 polymorphic inversions in the DGRP. Common inverted and standard karyotypes are genetically divergent and account for most of the variation in relatedness among the DGRP lines. Intriguingly, variation in genome size and many quantitative traits are significantly associated with inversions. Approximately 50% of the DGRP lines are infected with Wolbachia, and four lines have germline insertions of Wolbachia sequences, but effects of Wolbachia infection on quantitative traits are rarely significant. The DGRP complements ongoing efforts to functionally annotate the Drosophila genome. Indeed, 15% of all D. melanogaster genes segregate for potentially damaged proteins in the DGRP, and genome-wide analyses of quantitative traits identify novel candidate genes. The DGRP lines, sequence data, genotypes, quality scores, phenotypes, and analysis and visualization tools are publicly available.

569 citations

Journal ArticleDOI
TL;DR: It was demonstrated that WT1 vaccination could induce WT1-specific cytotoxic T lymphocytes and result in cancer regression without damage to normal tissues.
Abstract: The Wilms' tumor gene WT1 is overexpressed in leukemias and various types of solid tumors, and the WT1 protein was demonstrated to be an attractive target antigen for immunotherapy against these malignancies. Here, we report the outcome of a phase I clinical study of WT1 peptide-based immunotherapy for patients with breast or lung cancer, myelodysplastic syndrome, or acute myeloid leukemia. Patients were intradermally injected with an HLA-A*2402-restricted, natural, or modified 9-mer WT1 peptide emulsified with Montanide ISA51 adjuvant at 0.3, 1.0, or 3.0 mg per body at 2-week intervals, with toxicity and clinical and immunological responses as the principal endpoints. Twenty-six patients received one or more WT1 vaccinations, and 18 of the 26 patients completed WT1 vaccination protocol with three or more injections of WT1 peptides. Toxicity consisted only of local erythema at the WT1 vaccine injection sites in patients with breast or lung cancer or acute myeloid leukemia with adequate normal hematopoiesis, whereas severe leukocytopenia occurred in patients with myelodysplastic syndrome with abnormal hematopoiesis derived from WT1-expressing, transformed hematopoietic stem cells. Twelve of the 20 patients for whom the efficacy of WT1 vaccination could be assessed showed clinical responses such as reduction in leukemic blast cells or tumor sizes and/or tumor markers. A clear correlation was observed between an increase in the frequencies of WT1-specific cytotoxic T lymphocytes after WT1 vaccination and clinical responses. It was therefore demonstrated that WT1 vaccination could induce WT1-specific cytotoxic T lymphocytes and result in cancer regression without damage to normal tissues.

568 citations

Journal ArticleDOI
TL;DR: The present review will discuss the recent progress in the study of pathogen recognition by TLRs, RLRs and NLRs and their signalling pathways.
Abstract: Immunity against microbial pathogens primarily depends on the recognition of pathogen components by innate receptors expressed on immune and non-immune cells. Innate receptors are evolutionarily conserved germ-line-encoded proteins and include TLRs (Toll-like receptors), RLRs [RIG-I (retinoic acid-inducible gene-I)-like receptors] and NLRs (Nod-like receptors). These receptors recognize pathogens or pathogen-derived products in different cellular compartments, such as the plasma membrane, the endosomes or the cytoplasm, and induce the expression of cytokines, chemokines and co-stimulatory molecules to eliminate pathogens and instruct pathogen-specific adaptive immune responses. In the present review, we will discuss the recent progress in the study of pathogen recognition by TLRs, RLRs and NLRs and their signalling pathways.

568 citations

Journal ArticleDOI
S. Fukuda1, Y. Fukuda1, M. Ishitsuka1, Yoshitaka Itow1, Takaaki Kajita1, J. Kameda1, K. Kaneyuki1, K. Kobayashi1, Yusuke Koshio1, M. Miura1, S. Moriyama1, Masayuki Nakahata1, S. Nakayama1, Y. Obayashi1, A. Okada1, Ko Okumura1, N. Sakurai1, Masato Shiozawa1, Yoshihiro Suzuki1, H. Takeuchi1, Y. Takeuchi1, T. Toshito1, Y. Totsuka1, Shoichi Yamada1, M. Earl2, Alec Habig3, Alec Habig2, E. Kearns2, M. D. Messier2, Kate Scholberg2, J. L. Stone2, L. R. Sulak2, C. W. Walter2, M. Goldhaber4, T. Barszczak5, David William Casper5, W. Gajewski5, W. R. Kropp5, S. Mine5, L. R. Price5, M. B. Smy5, Henry W. Sobel5, M. R. Vagins5, K. S. Ganezer6, W. E. Keig6, R. W. Ellsworth7, S. Tasaka8, A. Kibayashi9, John G. Learned9, S. Matsuno9, D. Takemori9, Y. Hayato, T. Ishii, Takashi Kobayashi, Koji Nakamura, Y. Oyama, A. Sakai, Makoto Sakuda, Osamu Sasaki, M. Kohama10, Atsumu Suzuki10, T. Inagaki11, K. Nishikawa11, Todd Haines5, Todd Haines12, E. Blaufuss13, B. K. Kim13, R. Sanford13, R. Svoboda13, M. L. Chen14, J. A. Goodman14, G. Guillian14, G. W. Sullivan14, J. Hill15, C. K. Jung15, K. Martens15, Magdalena Malek15, C. Mauger15, C. McGrew15, E. Sharkey15, B. Viren15, C. Yanagisawa15, M. Kirisawa16, S. Inaba16, C. Mitsuda16, K. Miyano16, H. Okazawa16, C. Saji16, M. Takahashi16, M. Takahata16, Y. Nagashima17, K. Nitta17, M. Takita17, Minoru Yoshida17, Soo-Bong Kim18, T. Ishizuka19, M. Etoh20, Y. Gando20, Takehisa Hasegawa20, Kunio Inoue20, K. Ishihara20, T. Maruyama20, J. Shirai20, A. Suzuki20, Masatoshi Koshiba1, Y. Hatakeyama21, Y. Ichikawa21, M. Koike21, Kyoshi Nishijima21, H. Fujiyasu22, Hirokazu Ishino22, M. Morii22, Y. Watanabe22, U. Golebiewska23, D. Kielczewska5, D. Kielczewska23, S. C. Boyd24, A. L. Stachyra24, R. J. Wilkes24, K. K. Young24 
TL;DR: Using data recorded in 1100 live days of the Super-Kamiokande detector, three complementary data samples are used to study the difference in zenith angle distribution due to neutral currents and matter effects and find no evidence favoring sterile neutrinos, and reject the hypothesis at the 99% confidence level.
Abstract: The previously published atmospheric neutrino data did not distinguish whether muon neutrinos were oscillating into tau neutrinos or sterile neutrinos, as both hypotheses fit the data. Using data recorded in 1100 live days of the Super-Kamiokande detector, we use three complementary data samples to study the difference in zenith angle distribution due to neutral currents and matter effects. We find no evidence favoring sterile neutrinos, and reject the hypothesis at the $99%$ confidence level. On the other hand, we find that oscillation between muon and tau neutrinos suffices to explain all the results in hand.

568 citations


Authors

Showing all 84130 results

NameH-indexPapersCitations
Shizuo Akira2611308320561
Thomas C. Südhof191653118007
Tadamitsu Kishimoto1811067130860
Yusuke Nakamura1792076160313
H. S. Chen1792401178529
Hyun-Chul Kim1764076183227
Masayuki Yamamoto1711576123028
Kenji Kangawa1531117110059
Jongmin Lee1502257134772
Yoshio Bando147123480883
Takeo Kanade147799103237
Olaf Reimer14471674359
Yuji Matsuzawa143836116711
Kim Nasmyth14229459231
Tasuku Honjo14171288428
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023139
2022637
20216,915
20206,865
20196,462
20186,189