异育银鲫体内盐酸双氟沙星血浆蛋白结合率的变化与其药代动力学研究

为了研究盐酸双氟沙星(difloxacin, DIF)在异育银鲫体内血浆蛋白结合率的变化及其与药代动力学之间的关系, 实验采用超滤法测定了DIF在异育银鲫体内血浆蛋白结合率, 运用HPLC测定其对应时间点药物浓度, 并分析了血浆蛋白结合率变化对DIF体内处置的影响。实验以感染嗜水气单胞菌的异育银鲫为感染组, 健康异育银鲫为对照组。结果显示: 感染组各时间点DIF血浆蛋白结合率均高于对照组, 感染组与对照组DIF血浆蛋白结合率与总药物浓度呈对数关系: y=-9.01ln x+74.34和y=-4.81ln x+65.15, DIF血浆蛋白结合率与游离药物浓度的对数关系式分别为: y=-6.36ln x+64.91和y=-4.36ln x+ 60.63; 感染组和对照组血浆药时曲线均可使用开放性二室模型描述; 感染组DIF的吸收和消除慢于对照组, 其表观分布容积和曲线下面积大于对照组。结果显示异育银鲫体内感染嗜水气单胞菌促使DIF血浆蛋白结合率升高; 血浆蛋白结合率升高导致药物以结合药物的形式储存于血液中可能是导致药物组织分布受限、消除缓慢、长时间滞留于血液原因之一。     

不同冷季型牧草品种的产草量及品质比较分析

采用随机区组试验设计,对引进的8个冷季型牧草品种进行产草量和营养成分的比较分析.结果表明:4次刈割的总鲜重和总干重在品种间差异极显著,且以蓝天堂黑麦草(7号)最高.品种间的粗蛋白含量差异显著,其中第1次刈割以奇可利(3号)最高,蓝天堂黑麦草(7号)居第2位;第2次仍以奇可利(3号)最高,特高黑麦草(1号)和蓝天堂黑麦草(7号)居其次;第3次以紫花苜蓿(8号)最高,其次是多年生黑麦草(4号);第4次以奇可利(3号)最高,多年生黑麦草(4号)居第2位;粗纤维、粗脂肪和粗灰分在品种间的差别较小.综合产草量和品质两方面考虑,蓝天堂黑麦草(7号)可作为本地首选推广的冷季型牧草品种,奇可利(3号)和多年生黑麦草(4号)可作为备选推广的牧草品种.     

渗滤液溶解性有机物对土壤Cd、Pb有效性的影响

在Cd、Pb污染土壤中,通过生物盆栽试验,研究了2种不同填埋年龄的垃圾渗滤液溶解性有机物(DOM)对黑麦草生长的影响及其对重金属Cd、Pb吸收的影响.鲜样、水阁样分别为填埋年龄0和12年的垃圾渗滤液.结果表明,垃圾渗滤液DOM施入土壤,残留在土壤中的DOM平均浓度为对照的1.39倍(鲜样)和1.47倍(水阁样).2种垃圾渗滤液DOM处理的土壤水溶态Cd、Pb和交换态Cd、Pb均在前期呈波动变化,到后期则上升.在Cd污染土壤中,鲜样和水阁样垃圾渗滤液DOM处理土壤水溶态Cd、交换态Cd分别高出对照37.44%、4.81%,48.97%、14.94%;在Pb污染土壤中,鲜样和水阁样垃圾渗滤液DOM处理土壤水溶态Pb、交换态Pb分别高出对照8.56%、7.22%,18.99%、11.47%.鲜样和水阁样垃圾渗滤液DOM处理黑麦草总Cd浓度分别高于对照19.59%和104.4%,总Pb浓度分别高36.03%和44.66%;但两处理的黑麦草总生物量下降14.03%～52.24%.因此,垃圾渗滤液DOM进入污染土壤后,有利于土壤重金属生物有效性的提高和植物体内重金属的累积,却抑制植物的生长, 尤以填埋年龄长的垃圾渗滤液DOM影响更大.     

不同产地与类型及采收方法对黄花蒿中青蒿素含量的影响

以来源于重庆、广西、湖南、广东、江苏、陕西等省区的72分种质资源为试验材料,研究不同产地与类型及采收方法对黄花蒿中青蒿素含量的影响,为良种的选育和药材的采收提供科学的依据。结果表明:(1)早熟型与中、晚熟型青蒿素含量的差异显著,其顺序为:中熟型>晚熟型>早熟型;(2)在同一管理条件下不同茎秆颜色的青蒿素含量之间差异显著,其顺序为:白杆型>黄绿秆型>紫秆型>绿秆型;(3)不同产地的黄花蒿青蒿素含量动态变化规律一致,青蒿素含量最高时期为孕蕾期,是最佳采收期;(4)不同部位之间青蒿素含量差异显著,以叶片的青蒿素含量最高。     

植物KCO基因密码子使用特性

以植物钾离子外排通道（K’channeloutward．rectifier,KCO）基因为研究对象,运用CodonW软件分析了75个植物KCO基因密码子的使用模式,探讨密码子的使用模式和影响密码子使用的各种可能因素。结果表明：碱基组成差异（r=0．961,P〈0．01）和自然选择（r=0．568,P〈0．01）是影响密码子使用的主要因素,并且高表达的基因强烈偏爱使用以G或C结尾的密码子。确定了UUC、CUC等26个均以G／C结尾的密码子为植物KcD基因的高表达优越密码子。     

小麦苗期地下茎蛋白质双向电泳技术体系的优化

以东农冬麦1号为材料,对苗期地下茎处的蛋白提取方法、蛋白溶解、上样量、胶条的转移等方面进行了试验.结果表明:在蛋白提取方面,TCA/丙酮法(T法)和尿素/硫脲法(N法)相比T法能减少低丰度蛋白的损失得到蛋白点数更多的图谱.在蛋白溶解方面,经过两次水化液溶解的蛋纯度较高,在等电聚焦时能保持8000伏较高电压.上样量方面,10mg粗蛋白溶于两次水化液能得到清晰、分离效果好、蛋白点数较多的图像.胶条转移方面,先向胶面中加入400μl0.3%普通琼脂糖溶液后,用200μl的电极缓冲液冲洗胶条支撑膜会使胶条顺利转移到第二向胶面上且胶条与胶面间不会产生气泡.     

Rainfall manipulation experiments as simulated by terrestrial biosphere models: Where do we stand?

Changes in rainfall amounts and patterns have been observed and are expected to continue in the near future with potentially significant ecological and societal consequences. Modelling vegetation responses to changes in rainfall is thus crucial to project water and carbon cycles in the future. In this study, we present the results of a new model‐data intercomparison project, where we tested the ability of 10 terrestrial biosphere models to reproduce the observed sensitivity of ecosystem productivity to rainfall changes at 10 sites across the globe, in nine of which, rainfall exclusion and/or irrigation experiments had been performed. The key results are as follows: (a) Inter‐model variation is generally large and model agreement varies with timescales. In severely water‐limited sites, models only agree on the interannual variability of evapotranspiration and to a smaller extent on gross primary productivity. In more mesic sites, model agreement for both water and carbon fluxes is typically higher on fine (daily–monthly) timescales and reduces on longer (seasonal–annual) scales. (b) Models on average overestimate the relationship between ecosystem productivity and mean rainfall amounts across sites (in space) and have a low capacity in reproducing the temporal (interannual) sensitivity of vegetation productivity to annual rainfall at a given site, even though observation uncertainty is comparable to inter‐model variability. (c) Most models reproduced the sign of the observed patterns in productivity changes in rainfall manipulation experiments but had a low capacity in reproducing the observed magnitude of productivity changes. Models better reproduced the observed productivity responses due to rainfall exclusion than addition. (d) All models attribute ecosystem productivity changes to the intensity of vegetation stress and peak leaf area, whereas the impact of the change in growing season length is negligible. The relative contribution of the peak leaf area and vegetation stress intensity was highly variable among models.     

Immobilized Metal Affinity Chromatography Coupled to Multiple Reaction Monitoring Enables Reproducible Quantification of Phospho-signaling

A major goal in cell signaling research is the quantification of phosphorylation pharmacodynamics following perturbations. Traditional methods of studying cellular phospho-signaling measure one analyte at a time with poor standardization, rendering them inadequate for interrogating network biology and contributing to the irreproducibility of preclinical research. In this study, we test the feasibility of circumventing these issues by coupling immobilized metal affinity chromatography (IMAC)-based enrichment of phosphopeptides with targeted, multiple reaction monitoring (MRM) mass spectrometry to achieve precise, specific, standardized, multiplex quantification of phospho-signaling responses. A multiplex immobilized metal affinity chromatography- multiple reaction monitoring assay targeting phospho-analytes responsive to DNA damage was configured, analytically characterized, and deployed to generate phospho-pharmacodynamic curves from primary and immortalized human cells experiencing genotoxic stress. The multiplexed assays demonstrated linear ranges of ≥3 orders of magnitude, median lower limit of quantification of 0.64 fmol on column, median intra-assay variability of 9.3%, median inter-assay variability of 12.7%, and median total CV of 16.0%. The multiplex immobilized metal affinity chromatography- multiple reaction monitoring assay enabled robust quantification of 107 DNA damage-responsive phosphosites from human cells following DNA damage. The assays have been made publicly available as a resource to the community. The approach is generally applicable, enabling wide interrogation of signaling networks.Cell signaling research is faced with the challenging task of interrogating increasingly large numbers of analytes in “systems biology” approaches, while maintaining the high standards of integrity and reproducibility traditionally associated with the scientific approach. For example, studies interrogating complex systems, such as protein signaling networks, require quantification technologies capable of sensitive, specific, multiplexable, and reproducible application. However, recent reports have highlighted alarmingly high rates of irreproducibility in fundamental biological and pre-clinical studies (1, 2), as well as poor performance of affinity reagents used in traditional proteomic assay and detection platforms (3, 4). There is an imminent need for high quality assays, including highly characterized standards and detailed documentation of processes and procedures (5). To improve the translation of cell signaling discoveries into clinical application, we need reproducible and transferable technologies that enable higher throughput quantification of protein phosphorylation.Signaling dynamics through post-translational modifications (e.g. phosphorylation) are predominantly measured by Western blotting. Although this technique has led to many discoveries and is the de facto “gold standard,” it suffers from many drawbacks. Western blotting is a low throughput approach applied to individual analytes (i.e. no multiplexing) and is susceptible to erroneous interpretation when applied quantitatively (6). Alternative immunoassay platforms have emerged (e.g. immunohistochemistry, ELISA, mass cytometry, and bead-based or planar arrays), but suffer from similar limitations, namely specificity issues (because of cross-reactivity of antibodies), poor standardization, and difficulties in multiplexing.One alternative for quantifying phosphorylation is targeted, multiple reaction monitoring (MRM)¹ MS, a widely deployed technique in clinical laboratories for quantification of small molecules (7, 8). MRM is now also well established for precise and specific quantification of endogenous, proteotypic peptides relative to spiked-in stable isotope-labeled internal standards (9–11), and MRM can be applied to phosphopeptides (12–18). MRM assays can be run at high multiplex levels (19–21) and can be standardized to be highly reproducible across laboratories (22–24), even on an international stage (25). Because phosphorylation typically occurs at sub-stoichiometric levels and because phosphopeptides must compete for ionization with more abundant peptides, mass spectrometry-based analysis of phosphorylation requires an analyte enrichment step. Immuno-affinity enrichment approaches using anti-phospho-tyrosine antibodies (26) or panels of antibodies targeting signaling nodes (27) have been implemented with shotgun mass spectrometry. Although anti-peptide antibodies can also be used to enrich individual phosphopeptides upstream of MRM (28), the generation of these reagents is time-consuming and costly, limiting widespread uptake.Phosphopeptide enrichment based on metal affinity chromatography has recently matured into a reproducible approach (29). Immobilized metal affinity chromatography (IMAC) is widely used in discovery phosphoproteomic studies to enrich phosphopeptides upstream of shotgun-based mass spectrometry (30, 31). We hypothesized that a subset of the cellular phosphoproteome with favorable binding characteristics to the IMAC resin might be reproducibly recovered for quantification when coupled with quantitative MRM mass spectrometry, enabling robust IMAC-MRM assays without the need for an antibody.In this report, we: (1) demonstrate the feasibility of generating analytically robust, multiplex IMAC-MRM assays for quantifying cellular phospho-signaling, (2) present a semi-automated, 96-well format magnetic bead-based protocol for IMAC enrichment, (3) provide a catalogue of phosphopeptides that are highly amenable to IMAC-MRM quantification, and (4) make publicly available standard operating protocols (SOP) and fit-for-purpose analytical validation data for IMAC-MRM assays targeting 107 phospho-analytes, providing a community resource for study of the DNA damage response. The data suggest that the IMAC-MRM approach is generally applicable to signaling pathways, enabling wider interrogation of signaling networks.