Numerical simulation of two-phase non-Newtonian blood flow with fluid-structure interaction in aortic dissection

The behavior of blood cells and vessel compliance significantly influence hemodynamic parameters, which are closely related to the development of aortic dissection. Here the two-phase non-Newtonian model and the fluid-structure interaction (FSI) method are coupled to simulate blood flow in a patient-specific dissected aorta. Moreover, three-element Windkessel model is applied to reproduce physiological pressure waves. Important hemodynamic indicators, such as the spatial distribution of red blood cells (RBCs) and vessel wall displacement, which greatly influence the hemodynamic characteristics are analyzed. Results show that the proximal false lumen near the entry tear appears to be a vortex zone with a relatively lower volume fraction of RBCs, a low time-averaged wall shear stress (TAWSS) and a high oscillatory shear index (OSI), providing a suitable physical environment for the formation of atherosclerosis. The highest TAWSS is located in the narrow area of the distal true lumen which might cause further dilation. TAWSS distributions in the FSI model and the rigid wall model show similar trend, while there is a significant difference for the OSI distributions. We suggest that an integrated model is essential to simulate blood flow in a more realistic physiological environment with the ultimate aim of guiding clinical treatment.     

Glial cell line-derived neurotrophic factor (GDNF) is a neurotrophic factor for sensory neurons: Comparison with the effects of the neurotrophins

We compared the effects of glial cell line-derived neurotrophic factor (GDNF) on dorsal root ganglion (DRG) sensory neurons to that of nerve growth factor (NGF), brain-derived neurotrophic factor (BDNF), and neurotrophin 3 (NT-3). All of these factors were retrogradely transported to sub-populations of sensory neuron cell bodies in the L4/L5 DRG of neonatal rats. The size distribution of ¹²⁵I-GDNF-labeled neurons was variable and consisted of both small and large DRG neurons (mean of 506.60 μm²). ¹²⁵I-NGF was preferentially taken up by small neurons with a mean cross-sectional area of 383.03 μm². Iodinated BDNF and NT-3 were transported by medium to large neurons with mean sizes of 501.48 and 529.27 μm², respectively. A neonatal, sciatic nerve axotomy-induced cell death model was used to determine whether any of these factors could influence DRG neuron survival in vivo. GDNF and NGF rescued nearly 100% of the sensory neurons. BDNF and NT-3 did not promote any detectable level of neuronal survival despite the fact that they underwent retrograde transport. We examined the in vitro survival-promoting ability of these factors on neonatal DRG neuronal cultures derived from neonatal rats. GDNF, NGF, and NT-3 were effective in vitro, while BDNF was not. The range of effects seen in the models described here underscores the importance of testing neuronal responsiveness in more than one model. The biological responsiveness of DRG neurons to GDNF in multiple models suggests that this factor may play a role in the development and maintenance of sensory neurons. © 1997 John Wiley & Sons, Inc. J Neurobiol 32: 22–32, 1997.     

JDV Tat反式激活LTR与HIV-1 Tat采用类似的细胞因子

为分析JDV Tat在反式激活JDV及HIV-1 LTR过程中是否采用与H1V-1 Tat类似的细胞因子,本文构建了包含完整激活域的jTat70和hTat47,同时构建了cyclin T1和CDK9真核表达及反义转译质粒。过量表达hTat47和jTat70对hTat反式激活HIV-1 LTR,jTat反式激活JDV和HIV-1 LTR均有明显的抑制作用推测jTat和hTat的反式激活作用可能涉及类似的细胞因子。通过cyclin T1和CDK9的反义转译质粒对jTat反式激活的抑制作用证实这两种细胞因子参与了jTat对JDV和HIV-1 LTR的反式激活。     

替换HIV-1衣壳蛋白基因SHIV的构建及其活性测定

将猴免疫缺陷病毒(Simianimmunodeficiencyvirus,SIVmm239)中gag基因的衣壳蛋白部分置换成人免疫缺陷病毒(Humanimmunodeficiencyvirustype1,HIV-1HXBc2)的相应部分,构建出替换了衣壳蛋白基因的人/猿嵌合免疫缺陷病毒(SHIV)原病毒DNA。用此SHIV原病毒DNA转染293T细胞,细胞中能够检测到嵌合病毒基因的转录与翻译;在细胞培养液上清中亦可检测到装配出的病毒颗粒。病毒颗粒形态正常,含有基因组RNA,具有反转录酶活性,嵌合的外源衣壳蛋白能够正确剪切,形成棒状的核心。将此嵌合SHIV病毒感染MT4细胞,病毒能够吸附并进入细胞,能完成反转录过程,但不能增殖。     

小菜蛾羧酸酯酶基因的克隆及其序列分析

利用CODEHOP设计简并引物,通过反转录多聚酶链式反应(RTPCR)克隆小菜蛾Plutellaxylostella抗性种群中抗性相关的羧酸酯酶基因,随机挑取测序5个阳性克隆进行测序,测序结果经过blastx比较,发现所获得的大约420bp的基因片断均为羧酸酯酶基因,与双翅目昆虫蚊子的氨基酸序列同源性达85%以上 。     

不同成熟度煤样产甲烷潜力

摘要:【目的】评估不同类型煤炭生物降解转化为甲烷的潜力,研究原位煤层的微生物群落结构特征。【方法】分别在原位模拟、补加烃降解产甲烷菌系和补加碳源下厌氧培养煤样,利用气相色谱监测甲烷产生趋势,及高通量测序技术研究原位煤层的细菌和古菌群落。【结果】10个样品中有3个高成熟度煤样可以被厌氧降解转化为甲烷。通过生物强化和添加外源底物可以促进HF煤样的产甲烷潜力。其中SL 煤样中的古菌类群主要是氢营养型产甲烷菌Methanoculleus和乙酸营养型产甲烷菌Methanosaeta为主,细菌类群主要 属于Firmicutes(54.4%)、Proteobacteria(30.9%)、未培养微生物(10.8%)、Caldiserica(1.5%)及Thermotogae(1.3%)。【结论】不同成熟度煤样降解产气潜力不同,在部分原位煤层中可能存在参与烃降解与甲烷产生的功能菌。     

High‐throughput multiplex cpDNA resequencing clarifies the genetic diversity and genetic relationships among Brassica napus,Brassica rapa and Brassica oleracea

Brassica napus (rapeseed) is a recent allotetraploid plant and the second most important oilseed crop worldwide. The origin of B. napus and the genetic relationships with its diploid ancestor species remain largely unresolved. Here, chloroplast DNA (cpDNA) from 488 B. napus accessions of global origin, 139 B. rapa accessions and 49 B. oleracea accessions were populationally resequenced using Illumina Solexa sequencing technologies. The intraspecific cpDNA variants and their allelic frequencies were called genomewide and further validated via EcoTILLING analyses of the rpo region. The cpDNA of the current global B. napus population comprises more than 400 variants (SNPs and short InDels) and maintains one predominant haplotype (Bncp1). Whole‐genome resequencing of the cpDNA of Bncp1 haplotype eliminated its direct inheritance from any accession of the B. rapa or B. oleracea species. The distribution of the polymorphism information content (PIC) values for each variant demonstrated that B. napus has much lower cpDNA diversity than B. rapa; however, a vast majority of the wild and cultivated B. oleracea specimens appeared to share one same distinct cpDNA haplotype, in contrast to its wild C‐genome relatives. This finding suggests that the cpDNA of the three Brassica species is well differentiated. The predominant B. napus cpDNA haplotype may have originated from uninvestigated relatives or from interactions between cpDNA mutations and natural/artificial selection during speciation and evolution. These exhaustive data on variation in cpDNA would provide fundamental data for research on cpDNA and chloroplasts.     

Progress on lipid extraction from wet algal biomass for biodiesel production

Lipid recovery and purification from microalgal cells continues to be a significant bottleneck in biodiesel production due to high costs involved and a high energy demand. Therefore, there is a considerable necessity to develop an extraction method which meets the essential requirements of being safe, cost‐effective, robust, efficient, selective, environmentally friendly, feasible for large‐scale production and free of product contamination. The use of wet concentrated algal biomass as a feedstock for oil extraction is especially desirable as it would avoid the requirement for further concentration and/or drying. This would save considerable costs and circumvent at least two lengthy processes during algae‐based oil production. This article provides an overview on recent progress that has been made on the extraction of lipids from wet algal biomass. The biggest contributing factors appear to be the composition of algal cell walls, pre‐treatments of biomass and the use of solvents (e.g. a solvent mixture or solvent‐free lipid extraction). We compare recently developed wet extraction processes for oleaginous microalgae and make recommendations towards future research to improve lipid extraction from wet algal biomass.