肽核酸相关技术在杂交检测中的应用

肽核酸是一种寡核苷酸的类似物,它是由丹麦哥本哈根大学的Ｎｉｅｌｓｅｎ、Ｅｇｈｏｌｍ等人首先发明合成的。肽核酸与传统的寡核苷酸相比,骨架结构发生了根要变化。肽核酸的电中性骨架有许多ＤＮＡ所不具备的性质,例舅高灵敏度、高特异性、非盐依赖性等,从而使它成为一种优良的寡核苷酸的取代物,尤其是杂交检测领域。     

用于高灵敏可视化检测松材线虫的闭管等温扩增法

建立了一种基于环介导等温核酸扩增技术(LAMP)的松材线虫高灵敏可视化闭管检测方法。针对松材线虫核糖体DNA的序列保守区域设计LAMP引物,通过优化LAMP体系中的Mg2+、甜菜碱浓度和反应温度等因素,建立了环介导等温扩增法;并结合蜡封反应管对产物进行检测,检测结果可直接通过肉眼观察SYBR Green I荧光显色进行判定。结果表明,本方法可检测到低至10拷贝/管的松材线虫核酸片段,可对单条线虫进行检测,并且具有很高的特异性,能区分检测松材线虫与拟松材线虫。由于整个反应恒温进行,无需热循环仪;闭管检测极大地降低了扩增产物交叉污染的风险;检测速度快,整个检测过程只需40 min,为松材线虫的现场快速筛检提供了一种简便、高灵敏、高特异的工具。     

The Presence of (+)-S-Adenosyl-l-Methionine in the Rat Brain and Its Lack of Effect on Phenylethanolamine N-Methyltransferase Activity

Abstract: (+)-S-Adenosyl- l -methionine [(+)-SAM] was isolated from rat brain and was quantified by HPLC followed by UV spectrophotometric measurements and by ¹H-NMR. Its estimated ratio in brain is 3% of total SAM. Because of its commercial unavailability, (+)-SAM was also prepared from chemically synthesized SAM by separation of the two diastereoisomers on a preparative reverse-phase Nucleosil C8 column. The (+) diastereoisomer thus obtained was then assayed in vitro both as an inhibitor and a substrate of phenylethanolamine N -methyltransferase. Enzymatic activity was measured by HPLC analysis. It was shown that (+)-SAM has no effect on phenylethanolamine N -methyltransferase activity; therefore, it is unlikely that (+)-SAM plays any possible role in regulation of adrenaline synthesis in the brain.     

Silver Enhancement of Nickel-Diaminobenzidine as Applied to Single and Double Immunoperoxidase Staining

A reliable and practical method is proposed for increasing sensitivity and detection efficiency of immunocytochemical techniques, based on silver enhancement of the nickel-diaminobenzidine product of the peroxidase reaction. The procedure produces a strong signal at the site of the end product of the peroxidase reaction which is visible as black grains at the light microscopic level. The method has been used to detect peroxidase labeled probes in immunocytochemical tissue preparations and blotting assays and is ideal for the purposes of double staining and photographic documentation.     

REDHORSE-REcombination and Double crossover detection in Haploid Organisms using next-geneRation SEquencing data

Background

Next-generation sequencing technology provides a means to study genetic exchange at a higher resolution than was possible using earlier technologies. However, this improvement presents challenges as the alignments of next generation sequence data to a reference genome cannot be directly used as input to existing detection algorithms, which instead typically use multiple sequence alignments as input. We therefore designed a software suite called REDHORSE that uses genomic alignments, extracts genetic markers, and generates multiple sequence alignments that can be used as input to existing recombination detection algorithms. In addition, REDHORSE implements a custom recombination detection algorithm that makes use of sequence information and genomic positions to accurately detect crossovers. REDHORSE is a portable and platform independent suite that provides efficient analysis of genetic crosses based on Next-generation sequencing data.

Results

We demonstrated the utility of REDHORSE using simulated data and real Next-generation sequencing data. The simulated dataset mimicked recombination between two known haploid parental strains and allowed comparison of detected break points against known true break points to assess performance of recombination detection algorithms. A newly generated NGS dataset from a genetic cross of Toxoplasma gondii allowed us to demonstrate our pipeline. REDHORSE successfully extracted the relevant genetic markers and was able to transform the read alignments from NGS to the genome to generate multiple sequence alignments. Recombination detection algorithm in REDHORSE was able to detect conventional crossovers and double crossovers typically associated with gene conversions whilst filtering out artifacts that might have been introduced during sequencing or alignment. REDHORSE outperformed other commonly used recombination detection algorithms in finding conventional crossovers. In addition, REDHORSE was the only algorithm that was able to detect double crossovers.

Conclusion

REDHORSE is an efficient analytical pipeline that serves as a bridge between genomic alignments and existing recombination detection algorithms. Moreover, REDHORSE is equipped with a recombination detection algorithm specifically designed for Next-generation sequencing data. REDHORSE is portable, platform independent Java based utility that provides efficient analysis of genetic crosses based on Next-generation sequencing data. REDHORSE is available at http://redhorse.sourceforge.net/.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-015-1309-7) contains supplementary material, which is available to authorized users.     

Genetic mutation analysis at early stages of cell line development using next generation sequencing

A central goal for most biopharmaceutical companies is to reduce the development timeline to reach clinical proof of concept. This objective requires the development of tools that ensure the quality of biotherapeutic material destined for the clinic. Recent advances in high throughput protein analytics provide confidence in our ability to assess productivity and product quality attributes at early stages of cell line development. However, one quality attribute has, until recently, been absent from the standard battery of analytical tests facilitating informed choices early in cell line selection: genetic sequence confirmation. Techniques historically used for mutation analysis, such as detailed mass spectrometry, have limitations on the sample number and turnaround times making it less attractive at early stages. Thus, we explored the utility of Next‐Generation Sequencing (NGS) as a solution to address these limitations. Amplicon sequencing is one such NGS technique that is robust, rapid, sensitive, and amenable to multiplexing, all of which are essential attributes for our purposes. Here we report a NGS method based upon amplicon sequencing that has been successfully incorporated into our cell line development workflow alongside other high‐throughput protein analytical assays. The NGS method has demonstrated its value by identifying at least one Chinese hamster ovary (CHO) clone expressing a variant form of the biotherapeutic in each of the four clinical programs in which it has been utilized. We believe this sequence confirmation method is essential to safely accelerating the time to clinical proof of concept of biotherapeutics, and guard against delays related to sequence mutations. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:813–817, 2016     

Collective sampling of intact anionic polysaccharide components and application in quantitative determination by LC-MS

Anionic polysaccharides, such as glycosaminoglycans (GAGs) and alginate, readily undergo source-induced fragmentation when analyzed by electrospray mass spectrometry with the use of high source cone voltage. The dissociation chemistry converts all components of a polysaccharide into a small set of structurally characteristic small saccharides. This chemistry enables the collective detection of a polysaccharide through the detection of one or more small saccharides. This ability, combined with the elution of polysaccharides as relatively compact bands using ion-pairing reverse phase liquid chromatography, created a unique opportunity for the development of LC–MS methods suitable for the quantitative analysis of intact anionic polysaccharides. Feasibility of this approach is demonstrated with a mixture of heparin, chondroitin sulfate A, and alginate.     

滚环DNA扩增的原理、应用和展望

滚环DNA扩增 (rollingcircleDNAamplification ,RCA)是一种等温信号扩增方法 ,其线性扩增倍数为 1 0 ⁵,指数化扩增能力大于 10⁹,产生的扩增产物连接在固相支持物 (如玻片、微孔板等 )表面的DNA引物或抗体上。RCA是一种适合在芯片上 (on chip)进行信号扩增的新技术 ,它既能提供研究分析的敏感性和特异性 ,又能保持立体分析的多元性。RCA亦是一种痕量的分子检测方法 ,可用于极其微量的生物大分子和生物标志的检测与研究     

Neuronal identification of acoustic signal periodicity

Acoustic signals transmit information by temporal characteristics and envelope periodicity as well as by their frequency content. Many animals can extract the frequency content of a signal by means of specialized organs such as the cochlea but for the detection and identification of higher-order periodicity, e.g., amplitude modulations, this type of organ is useless. In addition, many animals do not have a cochlea but still depend on a reliable identification of different frequencies in the vast variety of acoustic signals they perceive in their natural environment. Hence, neural mechanisms to decode periodicity information must exist. We present a detailed mathematical analysis of a recurrent and a feedforward model of neuronal periodicity extraction and discuss basic constraints for neuronal circuitry performing such a task in a biological system. Both the recurrent and the feedforward model perform well using neuronal parameters typical for the auditory system. Performance is limited mainly by the temporal precision of the connections between the neurons.