Observation of b→dγ and Determination of |Vtd/Vts|

journal articl

New Business Opportunities for Deloitte Consulting LLP's Federal Practice

Description to be added</p

Effects of X-ray dose fractionations with various intervals in inducing somatic mutations in the stamen hairs of Tradescantia clone KU 9

The effects of X-ray dose fractionations in inducing somatic mutations were studied in the stamen hairs of Tradescantia clone KU 9 heterozygous for flower color (blue/pink). Young inflorescence-bearing shoots with roots were prepared, and were exposed to X rays acutely. A dose-response regression line with a slope of 1.454 on a log-log graph was obtained for single acute X-ray doses of 0.255 to 1.03 Gy, and it showed that somatic mutation frequency increased curvilinearly with increasing X-ray dose. When 1.00 to 1.15 Gy of X rays were fractionated into two acute doses of about halves given with intervals of 5 to 120 min, decreases in induced mutation frequency were observed. The mutation frequencies induced by the fractionated doses with intervals of 5 and 10 min were not significantly different from those expected for the total single doses. However, the mutation frequency decreased significantly at 5% level with 20- and 30-min intervals, and decreases were highly significant at 0.1% level when the interval was prolonged to 40 to 120 min. The results obtained indicate that the interaction between the first and second doses began to reduce between 10 and 20 min later, and disappeared by 60 min later. That is, the DNA and/or chromosomal breaks induced by the first dose began to be rejoined (repaired) or healed between 10 and 20 min later, and all of them were rejoined or healed by 60 min later, losing their abilities to interact with the DNA and/or chromosomal breaks induced by the second dose.textapplication/pdfjournal articl

契約改訂規範の構造（二） 契約改訂プロセスにおける法の介入と支援

2008-03-25departmental bulletin pape

相模湖と津久井湖におけるアオコ異常発生現象の数理モデル解析

application/pdf湖沼生態系におけるアオコの異常発生現象には次のような特徴が見られる．(1)アオコをもたらす究極の原因である湖の富栄養化は10年，20年の歳月をかけて徐々に進行するが，異常発生はある年を境に，突然，勃発する(突然の出現)．(2)アオコの主成分であるミクロキスティスなどの藍藻類は冬から春にかけて湖底で越冬し，夏の訪れとともに湖面に上昇して｢水の華｣と呼ばれる異常発生現象を引き起こす(年周期の垂直上下運動)．(3)夏季の異常発生期間でもこれらの藍藻類は，午前中，水面に出て光合成を行い，午後になると水中に沈んで栄養分を吸収する(日周期の垂直上下運動)．本論文ではタイムスケールの異なるこれら3つの特徴を的確に説明するために，栄養塩と藍藻類から成る2つの2変数数理モデル(常微分系の基本モデルと偏微分系の垂直上下運動モデル)を作成する．そして，これらのモデルを用いて，神奈川県の『県営水道の水質』に記録された相模湖と津久井湖におけるアオコの異常発生現象を解析する．本論文の解析によれば，相模湖・津久井湖水系は1970年代前半に澄んだ状態から濁った状態にレジームシフトし，以後，現在まで濁った状態，すなわち夏季のアオコ異常発生が恒常化した状態が継続している．またアオコの発生量，発生パターンに関する年ごとの変動には日照量，水温，栄養塩濃度といった生態学的，生理学的要因とともに，台風の襲来，ダムの放流といった自然，人為による偶発的要因も深く関与していると考えられる．Algal blooms in lake ecosystems are characterized by the following features. (1) Algal blooms break out abruptly at a certain time, although eutrophication, the ultimate cause of algal blooms, proceeds gradually over decades (abrupt outbreak of the phenomena). (2) Cyanobacteria such as Microcystis, the main component of algal blooms, overwinter at the bottom of the lake during the winter season, rising up to the water surface with the coming of summer (annual vertical migration). (3) During the summer season, cyanobacteria repeat vertical movement for photosynthesis at the surface from the midnight to the morning and for nutrient uptake at subsurface layers from the afternoon to the early evening (diurnal vertical migration). In this paper, we present two mutually correlated mathematical models, a fundamental model described by ordinary differential equations and a vertical migration model described by partial differential equations, both of which consist of nutrients and cyanobacteria. These models can properly explain the above-mentioned phenomena that differ in time scales. Then, we apply these aquatic models to the algal blooms in Lake Sagami and Lake Tsukui, referring to “Quality of prefectural tap water” published by Kanagawa Prefecture. According to our analyses, the aquatic system of these lakes has undergone the regime shift from the clear-water state to the turbid-water state at the beginning of the 1970s, with the turbid-water state continuing until now. In both lakes, the abundance of cyanobacteria and the seasonal algal blooming pattern differ considerably depending on years, indicating the significant influence of accidental factors of the natural and the anthropogenic origins such as the advent of typhoon and the water discharge from the dam as well as the ecological and the physiological factors such as the light intensity, the water temperature and the nutrient concentration.departmental bulletin pape

The Escherichia coli K-12 ORFeome: a resource for comparative molecular microbiology

We have constructed an open reading frame (ORFeome) collection of 3974 or 94% of the known Escherichia coli K-12 ORFs in GatewayR entry vector pENTR/Zeo. The collection has been used for protein expression and protein interaction studies. For example, we have compared interactions among YgjD, YjeE and YeaZ proteins in E. coli, Streptococcus pneumoniae, and Staphylococcus aureus. We also compare this ORFeome with other Gateway-compatible bacterial ORFeomes and show its utility for comparative functional genomics.Background: Systems biology and functional genomics require genome-wide datasets and resources. Complete sets of cloned open reading frames (ORFs) have been made for about a dozen bacterial species and allow researchers to express and study complete proteomes in a high-throughput fashion.Conclusions: The E. coli ORFeome provides a useful resource for functional genomics and other areas of protein research in a highly flexible format. Our comparison with other ORFeomes makes comparative analyses straighforward and facilitates direct comparisons of many proteins across many genomes.journal articl

Additional file 2: of Evolutionary analysis across mammals reveals distinct classes of long non-coding RNAs

Curated list of "well-characterized lncRNAs". (XLSX 52 kb

Additional file 4: of Evolutionary analysis across mammals reveals distinct classes of long non-coding RNAs

Excel file of evolutionary metrics of all lncRNAs found to be conserved to the human/chimp/rat/mouse ancestor. (XLSX 19 kb

Additional File 1:

Supplementary figures and tables. (PDF 3.85 MB

Pharmacokinetics of NKp30-Ig and NKp46D2-Ig fusion proteins <i>in vivo.</i>

<p>Mice were injected i.p. with one dose (5mg/kg) of NKp30-Ig (a) or NKp46D2-Ig (b). Serum sample were collected (at 0, 0.5, 1, 2, 6, 25, 48, 120, 168, 264 and 312 hours after injection) and levels of NKp30-Ig or NKp46D2-Ig were determined in a standard ELISA assay. Figure shows the average amount of fusion proteins detected in the serum of three mice, measure at each time point. Error bars represent mean±s.d of triplicates.</p