生物破乳剂产生菌的筛选及其方法研究

针对生物破乳剂产生菌筛选难的问题, 采用显色法、溶血细胞测试法、表面张力测定法和排油圈法从6种不同菌源对生物破乳菌产生菌进行了筛选。通过试验筛选得到了17株生物破乳剂产生菌, 其中24h内破乳率高于70%的破乳菌有5株; 油田含油污泥、采油废水生物处理污泥和污水处理厂剩余污泥是筛选破乳菌的较好的菌源; 显色法、溶血圈法存在检测范围的局限性; 表面张力测定法和排油圈法是最为简易和准确的生物表面活性剂产生菌的筛选方法, 采用模型乳状液对生物破乳剂产生菌进行筛选最为直接和准确, 但工作量大、所需时间长, 因此在筛选高效破乳菌时, 建议采用表面张力、排油圈法进行初筛, 而后通过模型乳状液破乳进行验证。     

基于能量融合积分模型的心脏生理物理活动研究

为了更深入地了解目前靠生理实验及临床手段无法洞察的心脏三维空间的电生理运行机制,分析和表现心脏复杂的电生理活动,从而揭示心脏的生理物理特性,本研究通过人类心肌细胞的动作电位传导数学模型,结合基于心脏解剖数据所建立的真实心脏组织结构的三维空间模型,构建出精细的心脏生物物理融合模型,并将心脏在三维空间中的生物物理活动表现出来.实验结果表明,基于心脏动作电位传导的融合模型,不同时刻的动作电位传导在非匀质性组织内的三维空间中的传播位置、空间关系以及生物物理过程被清晰地显示出来,心脏研究人员从而能够以视觉感知的方式认识和深入理解人类心脏电生物物理系统的功能机制,并有助于进一步推测心脏的生理和病理反应.     

脂肪酶在微乳液和微乳液凝胶中催化辛酸辛醇的酯化反应

脂肪酶在合成反应中具有很高的区域选择性和立体选择性 ,已广泛用于食品工业和药物工业[1,2 ] ,在有机介质中的脂肪酶催化反应已有较多研究[3 ,4 ] 。微乳液一般由表面活性剂、助表面活性剂、油和水等组份组成 ,它是一种热力学稳定、光学透明、宏观均匀而微观不均匀的体系 ,能提供酶催化所需要的巨大油 /水界面[5] 。而将脂肪酶增溶于油包水(Ｗ /Ｏ)微乳液中的纳米级“水池”中 ,可使酶以分子水平分散[6] ,图 1(ａ) ,从而可用来模拟细胞微环境中的反应。油包水微乳液中的酶可通过加入明胶而制成固定化酶 ,含明胶的微乳液凝胶 (ＭＢＧｓ)最早…     

The use of intensity‐based Doppler variance method for single vessel response to functional neurovascular activation

This study presents 1 use of optical coherence tomography (OCT) angiography technique to examine neurovascular coupling effect. Repeated B‐scans OCT recording is performed on the rat somatosensory cortex with cranial window preparation while its contralateral forepaw is electrically stimulated to activate the neurons in rest. We use an intensity‐based Doppler variance (IBDV) algorithm mapped cerebral blood vessels in the cortex, and the temporal alteration in blood perfusion during neurovascular activation is analyzed using the proposed IBDV quantitative parameters. By using principal component analysis‐based Fuzzy C Means clustering method, the stimulus‐evoked vasomotion patterns were classified into 3 categories. We found that the response time of small vessels (resting diameter 14.9 ±6.6 μm), middle vessels (resting diameter 21.1 ±7.9 μm) and large vessels (resting diameter 50.7 ±6.5 μm) to achieve 5% change of vascular dilation after stimulation was 1.5, 2 and 5.5 seconds, respectively. Approximately 5% peak change of relative blood flow (RBF) in both small and middle vessels was observed. The large vessels react slowly and their responses nearly 4 seconds delayed, but no significant change in RBF of the large vessels was seen.      

油脂废水生物处理研究进展

目前,油脂降解在常规的废水生物处理工艺中没有得到充分重视,造成反应器的处理效率大大降低,因此成熟有效的油脂降解生物处理技术开发与应用有待于深入探讨.本文系统阐述了废水处理过程中油脂的生物降解途径与机理,重点总结了油脂降解途径中油脂水解与长链脂肪酸降解涉及的功能微生物研究等最新进展,简要介绍了部分学者根据功能微生物的生境差别开发的一系列新型处理工艺,并在此基础上展望了油脂降解技术研究的重点突破方向,希望能为该工艺的发展提供理论指导.     

Enhanced intrinsic migration of aggressive breast cancer cells by inhibition of Rac1 GTPase

Rac GTPases are known to play a crucial role in regulating cytoskeletal changes necessary for cell migration. Migration has been shown to be positively regulated by Rac in most cell types. However, there is also a large body of conflicting evidence in some other cell types with respect to the role of Rac in migration, suggesting that Rac GTPases regulate cell migration in a cell type-dependent manner. In the present study, we have characterized the effects of Rac1 GTPase inhibition on the migratory abilities of a number of breast cancer cell lines with differential degrees of tumorigenic and metastatic potentials. We show that Rac1 inhibition in non-metastatic (MCF-7, T-47D) or moderately metastatic (Hs578T) cell lines results in inhibition of migration, whereas in highly metastatic cell lines (MDA-MB-435, MDA-MB-231, and C3L5) Rac1 inhibition results in stimulation of migration. This stimulation of migration following Rac1 inhibition is also accompanied by the enhanced RhoA activity, suggesting a possible existence of a dominating role of RhoA over Rac1 in regulating intrinsic migration of the highly metastatic breast cancer cells.     

Diallyl trisulfide induces apoptosis and inhibits proliferation of A549 cells in vitro and in vivo

Lung cancer is the leading cause of cancer-related mortality all over the world. In recent years, pulmonary adenocarcinoma has surpassed squamous cell carcinoma in frequency and is the predominant form of lung cancer in many countries. Epidemiological investigations have shown an inverse relationship between garlic (Allium sativum) consumption and death rate from many cancers. Diallyl trisulfide (DATS) is one of the garlic-derived compounds (also known as: organosulfer compounds, OSC). DATS can induce apoptosis and inhibit the growth of many cancer cell lines. Our study demonstrated that the apoptotic incidents induced by DATS were a mitochondria-dependent caspase cascade through a significant decrease of the anti-apoptotic Bcl-2 that resulted in up-regulation of the ratio of Bax/Bcl-2 and the activity of caspase-3, -8, and -9. Eventually, DATS induced the apoptosis and inhibited the proliferation in a concentration- and time-dependent manner. Furthermore, by establishing an animal model of female BALB/c nude mice with A549 xenografts, we found that oral gavage of DATS significantly retarded growth of A549 xenografts in nude mice without causing weight loss or any other side effects compared with the control group. All the evidence both in vitro and in vivo suggested that DATS could be an ideal anti-cancer drug.     

双绕蛋白质的分类与识别

蛋白质折叠识别是蛋白质结构研究的重要内容。双绕是α/β蛋白质中结构典型的常见折叠类型。选取22个家族中序列一致性小于25%的79个典型双绕蛋白质作为训练集,以RMSD为指标进行系统聚类,并对各类建立基于结构比对的概形隐马尔科夫模型(profile-HMM)。将Astral1.65中序列一致性小于95%的9 505个样本作为检验集,整体识别敏感性为93.9%,特异性为82.1%,MCC值为0.876。结果表明:对于成员较多,无法建立统一模型的折叠类型,分类建模可以实现较高准确率的识别。     

基于最大熵模型的不同尺度物种分布概率优化热点分析: 以红色木莲为例

单一空间尺度构建的最大熵(maximum entropy, MaxEnt)模型是否具有代表性, 是MaxEnt模型应用与发展中面临的重要问题。本研究基于有效的地理分布位点数据, 利用最小凸多边形法(the minimum convex polygon method)在三江并流、云南省及全国3个空间尺度下分别识别了红色木莲(Manglietia insignis)的建模区域, 并进一步建立MaxEnt模型: 使用ROC曲线分析法与遗漏率(omission rate, OR)检验评估MaxEnt模型预测精度; 基于ArcGIS分析分布概率及其热点区域的分布趋势, 并通过分区统计工具Zonal识别潜在适宜分布区域的质心位置; 采用刀切法检验环境因子贡献率。结果表明: (1)不同尺度下红色木莲的MaxEnt模型都有良好的预测效果, 三江并流、云南省及全国尺度下的AUC值分别为0.936、0.887和0.930, OR值分别为0.18、0.15和0.20; (2)各尺度红色木莲的适生区格局呈现一致性分布趋势, 集中在独龙江、怒江和澜沧江3个流域; (3) 3个空间尺度下红色木莲的地理分布受不同环境因子影响, 存在着尺度依赖效应。由此可见, 红色木莲在不同空间尺度下的预测模型有着稳定的性能表现与良好的预测效果。此外, 我们建议在野外实地调查与野生生物资源保护中加强对普通物种的关注, 在预测物种地理分布的研究中将MaxEnt模型与热点分析结合使用。