scispace - formally typeset
Search or ask a question
Institution

Mitsubishi Research Institute

CompanyTokyo, Japan
About: Mitsubishi Research Institute is a company organization based out in Tokyo, Japan. It is known for research contribution in the topics: Neutron & The Internet. The organization has 321 authors who have published 466 publications receiving 10958 citations. The organization is also known as: MRI.


Papers
More filters
Journal ArticleDOI
14 Feb 2008-Nature
TL;DR: It is proposed that cohesin functions as a transcriptional insulator, and it is speculated that subtle deficiencies in this function contribute to ‘cohesinopathies’ such as Cornelia de Lange syndrome.
Abstract: Cohesin complexes mediate sister-chromatid cohesion in dividing cells but may also contribute to gene regulation in postmitotic cells. How cohesin regulates gene expression is not known. Here we describe cohesin-binding sites in the human genome and show that most of these are associated with the CCCTC-binding factor (CTCF), a zinc-finger protein required for transcriptional insulation. CTCF is dispensable for cohesin loading onto DNA, but is needed to enrich cohesin at specific binding sites. Cohesin enables CTCF to insulate promoters from distant enhancers and controls transcription at the H19/IGF2 (insulin-like growth factor 2) locus. This role of cohesin seems to be independent of its role in cohesion. We propose that cohesin functions as a transcriptional insulator, and speculate that subtle deficiencies in this function contribute to 'cohesinopathies' such as Cornelia de Lange syndrome.

1,164 citations

Journal ArticleDOI
29 Jul 2004-Nature
TL;DR: High resolution analysis of cohesin association along budding yeast chromosomes III–VI finds that active transcription positions cohesIn at these sites, not the underlying DNA sequence, is found, suggesting that it is a common feature of eukaryotic chromosomes.
Abstract: Sister chromatids, the products of eukaryotic DNA replication, are held together by the chromosomal cohesin complex after their synthesis. This allows the spindle in mitosis to recognize pairs of replication products for segregation into opposite directions. Cohesin forms large protein rings that may bind DNA strands by encircling them, but the characterization of cohesin binding to chromosomes in vivo has remained vague. We have performed high resolution analysis of cohesin association along budding yeast chromosomes III-VI. Cohesin localizes almost exclusively between genes that are transcribed in converging directions. We find that active transcription positions cohesin at these sites, not the underlying DNA sequence. Cohesin is initially loaded onto chromosomes at separate places, marked by the Scc2/Scc4 cohesin loading complex, from where it appears to slide to its more permanent locations. But even after sister chromatid cohesion is established, changes in transcription lead to repositioning of cohesin. Thus the sites of cohesin binding and therefore probably sister chromatid cohesion, a key architectural feature of mitotic chromosomes, display surprising flexibility. Cohesin localization to places of convergent transcription is conserved in fission yeast, suggesting that it is a common feature of eukaryotic chromosomes.

598 citations

Journal ArticleDOI
TL;DR: Results of a questionnaire survey sent to a sample of automobile manufacturers in the United States and Japan during the spring of 1990 provide evidence that Japanese practices and performance levels are transferable outside Japan and suggest that considerable improvements are possible for U. S. suppliers supplying U.S. auto plants.
Abstract: This article presents the results of a questionnaire survey sent to a sample of automobile manufacturers in the United States and Japan (including Japanese-managed plants in the United States) during the spring of 1990. The data support observations that Japanese and U.S. practices tend to differ in key areas and Japanese suppliers perform better in dimensions such as quality (defects) and prices (meeting targets, reducing prices over time); and that Japanese-managed auto plants established in the United States have, in general, adopted Japanese practices and receive extremely high levels of quality from Japanese as well as U.S. suppliers. These findings provide evidence that Japanese practices and performance levels are transferable outside Japan and suggest that considerable improvements are possible for U.S. suppliers supplying U.S. auto plants. In addition, the survey indicates that U.S. firms have adopted at least some practices traditionally associated with Japanese firms, apparently reflecting some convergence toward Japanese practices and higher performance levels in supplier management.

591 citations

Journal ArticleDOI
TL;DR: A novel approach for analyzing the ribosomal binding site (RBS) is proposed, which enables us to detect species-specific patterns of the RBSs and improve prediction accuracies for short sequences by using the adapted RBS models.
Abstract: Recent advances in DNA sequencers are accelerating genome sequencing, especially in microbes, and complete and draft genomes from various species have been sequenced in rapid succession. Here, we present a comprehensive gene prediction tool, the MetaGeneAnnotator (MGA), which precisely predicts all kinds of prokaryotic genes from a single or a set of anonymous genomic sequences having a variety of lengths. The MGA integrates statistical models of prophage genes, in addition to those of bacterial and archaeal genes, and also uses a self-training model from input sequences for predictions. As a result, the MGA sensitively detects not only typical genes but also atypical genes, such as horizontally transferred and prophage genes in a prokaryotic genome. In this paper, we also propose a novel approach for analyzing the ribosomal binding site (RBS), which enables us to detect species-specific patterns of the RBSs. The MGA has the ingenious RBS model based on this approach, and precisely predicts translation starts of genes. The MGA also succeeds in improving prediction accuracies for short sequences by using the adapted RBS models (96% sensitivity and 93% specificity for 700 bp fragments). These features of the MGA expedite wide ranges of microbial genome studies, such as genome annotations and metagenome analyses.

550 citations

Journal ArticleDOI
04 May 2006-Nature
TL;DR: It is shown in both fission and budding yeast that Sgo1 recruits to centromeres a specific form of protein phosphatase 2A (PP2A), which inactivation causes loss of centromeric cohesin at anaphase I and random segregation of sister Centromeres at the second meiotic division.
Abstract: Segregation of homologous maternal and paternal centromeres to opposite poles during meiosis I depends on post-replicative crossing over between homologous non-sister chromatids, which creates chiasmata and therefore bivalent chromosomes. Destruction of sister chromatid cohesion along chromosome arms due to proteolytic cleavage of cohesin's Rec8 subunit by separase resolves chiasmata and thereby triggers the first meiotic division. This produces univalent chromosomes, the chromatids of which are held together by centromeric cohesin that has been protected from separase by shugoshin (Sgo1/MEI-S332) proteins. Here we show in both fission and budding yeast that Sgo1 recruits to centromeres a specific form of protein phosphatase 2A (PP2A). Its inactivation causes loss of centromeric cohesin at anaphase I and random segregation of sister centromeres at the second meiotic division. Artificial recruitment of PP2A to chromosome arms prevents Rec8 phosphorylation and hinders resolution of chiasmata. Our data are consistent with the notion that efficient cleavage of Rec8 requires phosphorylation of cohesin and that this is blocked by PP2A at meiosis I centromeres.

484 citations


Authors

Showing all 321 results

NameH-indexPapersCitations
Naoyuki Kamatani9154832240
Yasuhiko Sentoku472737091
Hiroshi Komiyama332144138
Takehiko Itoh319226015
Tomohiko Sakao311844038
Paul Horton29898624
Takashi Washio273064764
Wataru Fujibuchi25953261
Haruko Kurihara21473015
Hiroaki Katsuragi19851162
Yutaka Kitamura17331292
Kengo Nakajima1594726
Takehiko Itoh14154617
Satoshi Tojo14163858
Takashi Setou1232636
Network Information
Related Institutions (5)
Nagoya University
128.2K papers, 3.2M citations

83% related

Tokyo Institute of Technology
101.6K papers, 2.3M citations

83% related

University of Tsukuba
79.4K papers, 1.9M citations

83% related

Kyoto University
217.2K papers, 6.5M citations

83% related

University of Tokyo
337.5K papers, 10.1M citations

82% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20219
202015
20198
20189
20179
201612