A simple and fast method for cell recovery and DNA content analysis from various mouse tissues by flow cytometry

Cell division in tissues can be investigated in various ways. We present here a method for improving cell recovery and cell cycle analysis for a wide range of mouse tissues. This strategy combines a cell isolation procedure for various mouse tissues based on intracardiac perfusion and subsequent treatment followed by flow cytometry. This easy and reproducible method allows a rapid analysis of nuclear DNA content, providing an estimate of the cell number at different phases of the cell cycle. This combined procedure could also be used for the isolation of specific cell subpopulations from different mouse tissues by fluorescence activated cell sorting.

Protein extraction from plant tissues for 2DE and its application in proteomic analysis

Plant tissues contain large amounts of secondary compounds that significantly interfere with protein extraction and 2DE analysis. Thus, sample preparation is a crucial step prior to 2DE in plant proteomics. This tutorial highlights the guidelines that need to be followed to perform an adequate total protein extraction before 2DE in plant proteomics. We briefly describe the history, development, and feature of major sample preparation methods for the 2DE analysis of plant tissues, that is, trichloroacetic acid/acetone precipitation and phenol extraction. We introduce the interfering compounds in plant tissues and the general guidelines for tissue disruption, protein precipitation and resolubilization. We describe in details the advantages, limitations, and application of the trichloroacetic acid/acetone precipitation and phenol extraction methods to enable the readers to select the appropriate method for a specific species, tissue, or cell type. The current applications of the sample preparation methods in plant proteomics in the literature are analyzed. A comparative proteomic analysis between male and female plants of Pistacia chinensis is used as an example to represent the sample preparation methodology in 2DE‐based proteomics. Finally, the current limitations and future development of these sample preparation methods are discussed. This Tutorial is part of the International Proteomics Tutorial Programme (IPTP17).     

A simple method for construction of artificial microRNA vector in plant

Artificial microRNA (amiRNA) is a powerful tool for silencing genes in many plant species. Here we provide an easy method to construct amiRNA vectors that reinvents the Golden Gate cloning approach and features a novel system called top speed amiRNA construction (TAC). This speedy approach accomplishes one restriction-ligation step in only 5 min, allowing easy and high-throughput vector construction. Three primers were annealed to be a specific adaptor, then digested and ligated on our novel vector pTAC. Importantly, this method allows the recombined amiRNA constructs to maintain the precursor of osa-miR528 with exception of the desired amiRNA/amiRNA* sequences. Using this method, our results showed the expected decrease of targeted genes in Nicotiana benthamiana and Oryza sativa.     

Direct labeling microRNA with an electrocatalytic moiety and its application in ultrasensitive microRNA assays

An ultrasensitive procedure for the detection of microRNA (miRNA) in total RNA is described in this work. The miRNA is directly labeled with a redox active and electrocatalytic moiety, Ru(PD)(2)Cl(2) (PD=1,10-phenanthroline-5,6-dione), through coordinative bonds with purine bases in the miRNA molecule. The excellent electrocatalytic activity of the Ru(PD)(2)Cl(2) towards the oxidation of hydrazine makes it possible to conduct ultrasensitive miRNA detection. Under optimized experimental conditions, the assay allows the detection of miRNAs in the range of 0.50-400 pM with a detection limit of 0.20 pM in 2.5 microl (0.50 amole). MicroRNA quantitation is therefore performed in as little as 10 ng of total RNA, providing a much-needed platform for miRNA expression analysis.     

A simple device for growing Clostridium perfringens and its application in bacteriocin studies

A simple device constructed of common laboratory material served as a minifermenter for the growth of Clostridium perfringens. A constant flow of nitrogen gas into a culture tube containing C. perfringens assured agitation of the culture and a mechanism for dispensing small volumes of liquid from the culture without disturbing the growth environment. The method was applied to examining the growth-inhibiting effect of bacteriocins of C. perfringens where a very economical use of radioactive isotopes was possible. The activity of some bacteriocins differed when compared with previous data obtained with stationary cultures. Two major categories of bacteriocin appear to exist for this species: those bacteriocins which block the incorporation of DNA, RNA, and protein precursors and those which interfere with the organism's cell wall.     

Cell-type-based analysis of microRNA profiles in the mouse brain

MicroRNAs (miRNA) are implicated in brain development and function but the underlying mechanisms have been difficult to study in part due to the cellular heterogeneity in neural circuits. To systematically analyze miRNA expression in neurons, we have established a miRNA tagging and affinity-purification (miRAP) method that is targeted to cell types through the Cre-loxP binary system in mice. Our studies of the neocortex and cerebellum reveal the expression of a large fraction of known miRNAs with distinct profiles in glutamatergic and GABAergic neurons and subtypes of GABAergic neurons. We further detected putative novel miRNAs, tissue or cell type-specific strand selection of miRNAs, and miRNA editing. Our method thus will facilitate a systematic analysis of miRNA expression and regulation in specific neuron types in the context of neuronal development, physiology, plasticity, pathology, and disease models, and is generally applicable to other cell types and tissues.     

Profiling microRNA expression in Arabidopsis pollen using microRNA array and real-time PCR

Background

Arachis hypogaea (peanut) is an important crop worldwide, being mostly used for edible oil production, direct consumption and animal feed. Cultivated peanut is an allotetraploid species with two different genome components, A and B. Genetic linkage maps can greatly assist molecular breeding and genomic studies. However, the development of linkage maps for A. hypogaea is difficult because it has very low levels of polymorphism. This can be overcome by the utilization of wild species of Arachis, which present the A- and B-genomes in the diploid state, and show high levels of genetic variability.

Results

In this work, we constructed a B-genome linkage map, which will complement the previously published map for the A-genome of Arachis, and produced an entire framework for the tetraploid genome. This map is based on an F₂ population of 93 individuals obtained from the cross between the diploid A. ipaënsis (K30076) and the closely related A. magna (K30097), the former species being the most probable B genome donor to cultivated peanut. In spite of being classified as different species, the parents showed high crossability and relatively low polymorphism (22.3%), compared to other interspecific crosses. The map has 10 linkage groups, with 149 loci spanning a total map distance of 1,294 cM. The microsatellite markers utilized, developed for other Arachis species, showed high transferability (81.7%). Segregation distortion was 21.5%. This B-genome map was compared to the A-genome map using 51 common markers, revealing a high degree of synteny between both genomes.

Conclusion

The development of genetic maps for Arachis diploid wild species with A- and B-genomes effectively provides a genetic map for the tetraploid cultivated peanut in two separate diploid components and is a significant advance towards the construction of a transferable reference map for Arachis. Additionally, we were able to identify affinities of some Arachis linkage groups with Medicago truncatula, which will allow the transfer of information from the nearly-complete genome sequences of this model legume to the peanut crop.     

A simple force platform.

The force platform consists of a sandwhich of steel, Rockwool and concrete plates about 900 X 700 mm in surface. Four steel rings were bolted to the under side of the steel plate in each corner. Each steel ring was furnished with only one strain gauge, two of which were placed on the outer- respectively on the inner side of each ring. The four strain gauges were connected to a measuring bridge. Before mounting the rings on the steel plate, the sensitivity to pressure of each ring was adjusted in such a way that they were all similar. Because of this the platform responded with a signal which was independent of where a pressure was applied within the surface of the platform. The platform showed a rectilinear response for static forces up to 500 kp with a stable zero value. In response to dynamic forces the platform showed a resononance frequency of about 50 Hz, with a damping factor of 0.15. Calibration of dynamic forces was carried out by calculation of the forces during a vertical jump compared with what would be expected from the time of flight also registered by the platform-measuring-bridge-ink-writer-set-up. The time of flight was significantly higher (11%) than exected from the time-force relations beforetake-off. This was esplained partly by the relatively low damping factor in the system, partly by the subjects not extending their knees at landing on the platform.     

Microarray analysis of microRNA expression in liver cancer tissues and normal control

Background

Recently, many studies have focused on microRNAs (miRNAs) expression profiling in liver cancer, due to the ability of these small RNAs to potently influence cellular behavior. In this study, to further investigate the relationship between them, the miRNA expression profiling of the cancer liver tissues and normal liver tissues were compared.

Methods

The datasets of miRNAs microarray in liver cancer and normal control were downloaded from Gene Expression Omnibus. Then the SOAP analysis was performed to identify the differentially expressed miRNAs.

Results

A total of 221 differentially expressed miRNAs were found. Five of them (including hsa-miR-15b, hsa-miR-1975, hsa-miR-199a-3p, hsa-miR-199b-3p and hsa-miR-421) were determined by t-test and may be involved in the pathogenesis of liver cancer.

Conclusion

There differentially expressed miRNAs may be potential molecular markers for liver cancer screening.     

A simple technique for sex chromatin analysis in amniotic cells of mouse and rat embryos

A simple technique has been developed for sex chromatin analysis in the amniotic membrane of rodent embryos. This technique combines the use of 60% acetic acid as a fixative and a carbol fuchsin stain. This technique may be useful for quick sex diagnosis of rodent embryos at midgestation for various purposes in experimental embryology.     

A constitutive model for two-dimensional soft tissues and its application to experimental data

A constitutive relation proposed by Shoemaker (Ph.D. dissertation, 1984) to model the mechanical behavior of membraneous or two-dimensional soft tissues is described. Experiments by Schneider (Ph.D. dissertation, 1982) on human skin and Lee et al. (Am. J. Physiol., 249, H222-H230, 1985) on canine pericardium, and the application of the constitutive model to biaxial stress-strain data from these experiments, are discussed. Some experimental data and predictions of the model obtained by curvefitting are presented for comparison. Values of material parameters are also presented. It is concluded that the constitutive model is well able to fit results of individual tests, and that its generality (judged by consistency of parameters from test to test of the same specimen), though not complete, does compare favorably with some other results presented in the literature.     

反向虚拟筛选平台及应用

靶标确证是老药新用、药物毒副作用研究的关键。基于分子对接方法 Auto Dock Vina和内部构建的疾病靶标数据库,采用分布式架构,构建了反向虚拟筛选平台。应用该平台对药物吡斯的明进行靶标确证,最终成功找到其靶标乙酰胆碱酯酶,验证了平台的实用性和准确性。     

计算机辅助药物筛选平台及应用

先导化合物发现是创新药物研发的最重要环节之一。针对目前海量功能不明确的小分子化合物,本文构建了一个用来实现快速发现先导化合物,有效降低药物研发成本的计算机辅助药物筛选平台。该平台采用分布式架构思想,集成了Auto Dock Vina和多个小分子库,具有数据安全、计算与存储的负载均衡以及实时监控的特点。应用平台进行先导化合物筛选,在较短时间发现了有针对性的活性小分子化合物,命中率高,大大缩短先导化合物发现周期。该平台具有很好的实用性和良好的扩展性。