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- Ablikim, M., et al.
(author)
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Measurements of (XcJ)-> K+K-K+K- decays
- 2006
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In: Physics Letters B. - : Elsevier BV. - 0370-2693 .- 1873-2445. ; 642:3, s. 197-202
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Journal article (peer-reviewed)abstract
- Using 14M psi(2S) events taken with the BESII detector, chi(cJ) -> 2(K+K-) decays are studied. For the four-kaon final state, the branching fractions are B(chi(c0,1,2) ->.2(K+K-)) = (3.48 +/- 0.23 +/- 0.47) x 10(-3), (0.70 +/- 0.13 +/- 0.10) x 10(-3), and (2.17 +/- 0.20 +/- 0.31) x 10(-3). For the phi K+K- final state, the branching fractions, which are measured for the first time, are B(chi(c0,1,2) -> phi K+K-) = (1.03 +/- 0.22 +/- 0.15) x 10(-3), (0.46 +/- 0.16 +/- 0.06) x 10(-3), and (1.67 +/- 0.26 +/- 0.24) x 10(-4). For the phi phi final state, B(chi(c0,2) -> phi phi) = (0.94 +/- 0.21 +/- 0.13) x 10(-3) and (1.70 +/- 0.30 +/- 0.25) x 10(-3).
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| 3. |
- Herrgård, Markus J, et al.
(author)
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A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology
- 2008
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In: Nature Biotechnology. ; 26:10, s. 1155-1160
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Journal article (peer-reviewed)abstract
- Genomic data allow the large-scale manual or semi-automated assembly of metabolic network reconstructions, which provide highly curated organism-specific knowledge bases. Although several genome-scale network reconstructions describe Saccharomyces cerevisiae metabolism, they differ in scope and content, and use different terminologies to describe the same chemical entities. This make comparisons between them difficult and underscores the desirability of a consolidated metabolic network that collects and formalizes the 'community knowledge' of yeast metabolism. We describe how we have produced a consensus metabolic network reconstruction for S. cerevisiae. In drafting it, we placed special emphasis on referencing molecules to persistent databases or using database-independent forms, such as SMILES or InChl strings, as this permits their chemical structure to be represented unambiguously and in a manner that permits automated reasoning. The reconstruction is readily available via a publicly accessible database and in the Systems Biology Markup Language (http://www.comp-sys-bio.org/yeastnet). It can be maintained as a resource that serves as a common denominator for studying the systems biology of yeast. Similar strategies should benefit communities studying genome-scale metabolic networks of other organisms.
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| 4. |
- Wang, Mo-Jin, et al.
(author)
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The Ile646Val (2073A > G) Polymorphism in the Kinase-Binding Domain of A-Kinase Anchoring Protein 10 and the Risk of Colorectal Cancer
- 2009
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In: ONCOLOGY. - : S. Karger AG. - 0030-2414 .- 1423-0232. ; 76:3, s. 199-204
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Journal article (peer-reviewed)abstract
- Objective: The purpose of this study is to investigate whether the Ile646Val (2073A>G) polymorphism in the kinase-binding domain of A-kinase anchoring protein 10 (AKAP10) is related to the risk of colorectal cancer (CRC), clinicopathological variables and the environmental factors for the development of CRC. Methods: Applying TaqMan allelic discrimination, we investigated AKAP10 Ile646Val (2073A>G) polymorphism in 288 Chinese CRC patients and 281 healthy controls. Results: Logistic regression analysis revealed a significant association of AKAP10 Ile646Val (2073A>G) polymorphism with increased CRC risk (adjusted OR = 1.44, 95% CI 1.01-2.07, p = 0.02). Stratification analysis showed that the increased risk associated with the variant genotypes (GG+AG) was more evident in male subjects (adjusted OR = 1.48, 95% CI 0.94-2.34, p = 0.03). Compared with the AA genotype, the adjusted OR for the variant genotypes was 1.81 (95% CI 1.08 - 3.05, p = 0.01) among young subjects (age ! 57 years). Among individuals who did not smoke or who smoked lightly, there was a significantly increased risk with the variant genotypes (adjusted OR = 1.66, 95% CI 1.08 - 2.56, p = 0.02). We did not observe a relationship between the AKAP10 polymorphism and other clinicopathological and environmental factors. Conclusions: Our data suggested that the AKAP10 2073A>G variation is associated with an increased risk of CRC in the Chinese population.
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