多顺反子质粒重编程人脂肪干细胞为诱导多能干细胞

为建立多顺反子质粒载体转染技术获得人脂肪干细胞(adipose stem cells,ASCs)来源的诱导多能干细胞(induced pluripotency stem cells,iPSCs),应用2A元件连接Oct4/Sox2/KLF4/c-Myc四因子基因,构建为单一开放阅读框的多顺反子质粒载体．使用该质粒对ASCs进行转染及重编程为iPSC．采用形态学观察、特异性抗体免疫荧光鉴定、体外拟胚体诱导分化和体内畸胎瘤形成等方法进行鉴定．结果显示,ASCs成功重编程为iPSCs,具有与人胚胎干细胞相似的形态学及多向分化潜能;通过拟胚体和畸胎瘤实验证实iPSCs能在体内外分化成三胚层细胞;DNA印迹实验显示质粒载体序列未整合至iPSCs基因组中．因此,通过多顺反子质粒载体重编程技术成功建立的人iPSCs具有多向分化潜能,可减免发生插入突变和免疫排斥问题,为iPSCs在遗传性或退行性疾病的治疗奠定了实验基础．     

蓖麻毒蛋白A链基因RNAi转化研究

通过基因沉默技术调控蓖麻毒蛋白A链基因的表达,以期获得低毒蓖麻新材料.利用基因克隆技术获得蓖麻毒蛋白A链基因762 bp片段,命名为RTA基因.进一步利用该基因构建了植物RNAi表达载体pBI-RTA-S-AS,通过农杆菌介导法转化蓖麻子叶节,用卡那抗性筛选转化再生植株,PCR进一步鉴定转基因植株.结果表明:克隆得到目的基因长762 bp,与预期结果一致;卡那抗性筛选和PCR鉴定结果显示,获得了3株转基因阳性植株.     

Increased Activity of Liver Xanthine Oxidase in Rats from Increasing Dietary Calcium

A new binary vector, pZT4B, containing the UDP-N-acetylglucosamine: dolichol phosphate N-acetylglucosamine-1-P transferase (GPT) gene as a selection marker, was constructed. The green fluorescent protein (GFP) gene was inserted into pZT4B, and the resulting plasmid was used in the transformation of Arabidopsis. All of six independent transformants obtained after selection with 0.3 mg/l tunicamycin contained the transgene and showed GFP fluorescence.     

Development of R4 Gateway Binary Vectors (R4pGWB) Enabling High-Throughput Promoter Swapping for Plant Research

We developed a new series of Gateway binary vectors, R4pGWBs, that are plant transformation vectors designed for one-step construction of chimeric genes between any promoter and any cDNA. The structure of R4pGWBs is almost the same as the promoterless type of improved pGWBs (ImpGWBs), except that the attR1 site is replaced with attR4, which enables tripartite recombination of these vectors with promoter- and cDNA-entry clones. While ImpGWBs are suitable for promoter analysis and constitutive expression of cDNAs in higher plants, R4pGWBs have a great advantage in expressing a cDNA under the regulation of desired promoters.     

Degradation of L-Ascorbic Acid and Mechanism of Non-enzymic Browning Reaction

In the presence of oxygen, L-ascorbic acid sol ution (0.05 M) browned more intense1 y than dehydro-L-ascorbic acid solution (0.05 M) during storage for longer period.

The mixed solution of L-ascorbic acid (ASA) and dehydro-L-ascorbic acid (DHA) with the ratio of 1:1 or 1:3 in concentration gave more intense browning than DHA solution during storage at 38°C for about 3 weeks. Essentially the same type of browning was observed in case of the mixture of ASA and DHA with D-glucose. Browning of partially oxidized ASA solution also showed substantially the same results as those mentioned above.     

Secretion of Hen Egg White Lysozyme from Kluyveromyces lactis

Hen egg white (HEW) lysozyme was correctly processed and efficiently secreted from an alternative yeast, Kluyveromyces lactis. We constructed secretion vectors using PHO5, PGK, and LAC4 promoters, and found that the highest secretion was obtained under the direction of the PGK promoter in non-selective rich medium. K. lactis secreted HEW lysozyme with two-fold higher efficiency than S. cerevisiae, estimated by using a K. lactis-S. cerevisiae shuttle vector.     

Robust algorithm for brain magnetic resonance image (MRI) classification based on GARCH variances series

In this paper, a robust algorithm for disease type determination in brain magnetic resonance image (MRI) is presented. The proposed method classifies MRI into normal or one of the seven different diseases. At first two-level two-dimensional discrete wavelet transform (2D DWT) of input image is calculated. Our analysis show that the wavelet coefficients of detail sub-bands can be modeled by generalized autoregressive conditional heteroscedasticity (GARCH) statistical model. The parameters of GARCH model are considered as the primary feature vector. After feature vector normalization, principal component analysis (PCA) and linear discriminant analysis (LDA) are used to extract the proper features and remove the redundancy from the primary feature vector. Finally, the extracted features are applied to the K-nearest neighbor (KNN) and support vector machine (SVM) classifiers separately to determine the normal image or disease type. Experimental results indicate that the proposed algorithm achieves high classification rate and outperforms recently introduced methods while it needs less number of features for classification.     

Insights from quantitative metaproteomics and protein-stable isotope probing into microbial ecology

The recent development of metaproteomics has enabled the direct identification and quantification of expressed proteins from microbial communities in situ, without the need for microbial enrichment. This became possible by (1) significant increases in quality and quantity of metagenome data and by improvements of (2) accuracy and (3) sensitivity of modern mass spectrometers (MS). The identification of physiologically relevant enzymes can help to understand the role of specific species within a community or an ecological niche. Beside identification, relative and absolute quantitation is also crucial. We will review label-free and label-based methods of quantitation in MS-based proteome analysis and the contribution of quantitative proteome data to microbial ecology. Additionally, approaches of protein-based stable isotope probing (protein-SIP) for deciphering community structures are reviewed. Information on the species-specific metabolic activity can be obtained when substrates or nutrients are labeled with stable isotopes in a protein-SIP approach. The stable isotopes (¹³C, ¹⁵N, ³⁶S) are incorporated into proteins and the rate of incorporation can be used for assessing the metabolic activity of the corresponding species. We will focus on the relevance of the metabolic and phylogenetic information retrieved with protein-SIP studies and for detecting and quantifying the carbon flux within microbial consortia. Furthermore, the combination of protein-SIP with established tools in microbial ecology such as other stable isotope probing techniques are discussed.     

The role of snail aestivation in transmission of schistosomiasis in changing climatic conditions

Schistosomiasis vector snails are subjected to extreme seasonal changes, particularly in ephemeral rivers and lentic waterbodies. In the tropics, aestivation is one of the adaptive strategies for survival and is used by snails in times of extremely high temperatures and desiccation. Aestivation therefore plays an important role in maintaining the transmission of schistosomiasis. This review assesses the possible impacts of climate change on the temporal and spatial distribution of schistosomiasis-transmitting snails with special emphasis on aestivation, and discusses the effect of schistosome infection on aestivation ability. The impacts of parasite development on snails, as well as physiological changes, are discussed with reference to schistosomiasis transmission. This review shows that schistosome-infected snails have lower survival rates during aestivation, and that those that survive manage to get rid of the infection. In general, snail aestivation ability is poor and survival chances diminish with time. Longer dry periods result in fewer, as well as uninfected, snails. However, the ability of the surviving snails to repopulate the habitats is high.