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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.


Papers
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Journal ArticleDOI
01 Sep 2006-Immunity
TL;DR: The recent studies on IRFs are summarized, providing a paradigm of how genes are ingeniously regulated during immune responses, and some evolutional aspects on the IFN-IRF system are considered.

1,201 citations

Journal ArticleDOI
TL;DR: It is indicated that the HCV core protein has a chief role in the development of HCC, and that these transgenic mice provide good animal models for determining the molecular events in hepatocarcinogenesis with HCV infection.
Abstract: Hepatitis C virus (HCV) is the main cause of chronic hepatitis worldwide Chronic hepatitis ultimately results in the development of hepatocellular carcinoma (HCC) However, the mechanism of hepatocarcinogenesis in chronic HCV infection is still unclear The ability of the core protein of HCV to modulate gene transcription, cell proliferation and cell death may be involved in the pathogenesis of HCC Here, we report the development of HCC in two independent lines of mice transgenic for the HCV core gene, which develop hepatic steatosis early in life as a histological feature characteristic of chronic hepatitis C After the age of 16 months, mice of both lines developed hepatic tumors that first appeared as adenomas containing fat droplets in the cytoplasm Then HCC, a more poorly-differentiated neoplasia, developed from within the adenomas, presenting in a 'nodule-in-nodule' manner without cytoplasmic fat droplets; this closely resembled the histopathological characteristics of the early stage of HCC in patients with chronic hepatitis C These results indicate that the HCV core protein has a chief role in the development of HCC, and that these transgenic mice provide good animal models for determining the molecular events in hepatocarcinogenesis with HCV infection

1,199 citations

Journal ArticleDOI
01 Feb 2014-Leukemia
TL;DR: Large-scale genetic and molecular profiling of multiple target genes is invaluable for subclassification and prognostication in MDS patients.
Abstract: High-throughput DNA sequencing significantly contributed to diagnosis and prognostication in patients with myelodysplastic syndromes (MDS). We determined the biological and prognostic significance of genetic aberrations in MDS. In total, 944 patients with various MDS subtypes were screened for known/putative mutations/deletions in 104 genes using targeted deep sequencing and array-based genomic hybridization. In total, 845/944 patients (89.5%) harbored at least one mutation (median, 3 per patient; range, 0-12). Forty-seven genes were significantly mutated with TET2, SF3B1, ASXL1, SRSF2, DNMT3A, and RUNX1 mutated in >10% of cases. Many mutations were associated with higher risk groups and/or blast elevation. Survival was investigated in 875 patients. By univariate analysis, 25/48 genes (resulting from 47 genes tested significantly plus PRPF8) affected survival (P<0.05). The status of 14 genes combined with conventional factors revealed a novel prognostic model ('Model-1') separating patients into four risk groups ('low', 'intermediate', 'high', 'very high risk') with 3-year survival of 95.2, 69.3, 32.8, and 5.3% (P<0.001). Subsequently, a 'gene-only model' ('Model-2') was constructed based on 14 genes also yielding four significant risk groups (P<0.001). Both models were reproducible in the validation cohort (n=175 patients; P<0.001 each). Thus, large-scale genetic and molecular profiling of multiple target genes is invaluable for subclassification and prognostication in MDS patients.

1,193 citations

Journal ArticleDOI
20 Nov 1997-Nature
TL;DR: It is shown that p110 is CRM1, which is an evolutionarily conserved protein originally found as an essential nuclear protein in fission yeast and known as a likely target of LMB, which indicates that CRM 1 is an essential mediator of the NES-dependent nuclear export of proteins in eukaryotic cells.
Abstract: The discovery of nuclear export signals (NESs) in a number of proteins revealed the occurrence of signal-dependent transport of proteins from the nucleus to the cytoplasm. Although the consensus motif of the NESs has been shown to be a leucine-rich, short amino-acid sequence, its receptor has not been identified. A cytotoxin leptomycin B (LMB) has recently been suggested to inhibit the NES-mediated transport of Rev protein. Here we show that LMB is a potent and specific inhibitor of the NES-dependent nuclear export of proteins. Moreover, we have found a protein of relative molecular mass 110K (p110) in Xenopus oocyte extracts that binds to the intact NES but not to the mutated, non-functional NES. The binding of p110 to NES is inhibited by LMB. We show that p110 is CRM1, which is an evolutionarily conserved protein originally found as an essential nuclear protein in fission yeast and known as a likely target of LMB. We also show that nuclear export of a fission yeast protein, Dsk1, which has a leucine-rich NES, is disrupted in wild-type yeast treated with LMB or in the crm1 mutant. These results indicate that CRM1 is an essential mediator of the NES-dependent nuclear export of proteins in eukaryotic cells.

1,193 citations

Journal ArticleDOI
TL;DR: A multivariate analysis of 1,116 adenocarcinomas containing 71 kinase-fusion–positive adenokcinomas identified four independent factors that are indicators of poor prognosis: age ≥50 years, male sex, high pathological stage and negative kinase -fusion status.
Abstract: Through an integrated screening system, the authors catalog ALK and ROS1 fusions in lung cancer and identify a new class of fusions involving KIF5B and RET that may represent new therapeutic targets in adenocarcinoma.

1,191 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
202112,942
202013,511
201912,656