A procedure for the small-scale isolation of plant RNA suitable for RNA blot analysis

A small-scale method for the isolation of total RNA from plant tissue is described. The method provides RNA of suitable quantity and quality from 0.2 g fresh tissue for the detection of mRNA species by RNA blot analysis. The entire procedure is adapted to 1.5-ml microfuge tubes and takes less than 5 h. This method is well suited for the isolation of RNA from large numbers of samples or from samples of limited quantity.     

Total RNA suitable for molecular biology analysis

Development of methods based on determining expression of individual genes resulted in the need for large amounts of high quality RNA preparations. It is widely accepted that in intact rRNA the 28S and 18S band ratio must be 2:1. It is not quite clear what is the main cause of lower rRNA bands intensity ratio. It is difficult to isolate RNA with 2:1 28S/18S ratio from RNase-rich and some tumor tissues. At the same time this requirement may be excessive and RNA preparations with lower 28S/18S rRNA ratio may be quite adequate for most techniques of determining gene expression. As demonstrated in this study, the level of a particular RNA may be reliably determined by RT-PCR even in a total RNA that is usually considered as degraded (28S to 18S ratio as low as 0.4), provided that random primer is used in RT. In contrast, the use of the oligo(dT) primer in RT-PCR may lead to underestimation of specific mRNA level in the degraded RNA samples, depending on the distance of amplified fragment from the poly(A) end. A criterion based on average degradation level of a number of reference genes is suggested to discriminate specific RNA degradation from random and unspecific ones.     

Directed acyclic graph kernels for structural RNA analysis

Background  

Recent discoveries of a large variety of important roles for non-coding RNAs (ncRNAs) have been reported by numerous researchers. In order to analyze ncRNAs by kernel methods including support vector machines, we propose stem kernels as an extension of string kernels for measuring the similarities between two RNA sequences from the viewpoint of secondary structures. However, applying stem kernels directly to large data sets of ncRNAs is impractical due to their computational complexity.     

Approach for functional analysis of glycan using RNA interference

The elucidation of the biological role of glycan is one of the most important issues to be resolved following the genome project. RNA interference is becoming an efficient reverse genetic tool for studying gene function in model organisms, including C.elegans and Drosophila melanogaster. Our molecular evolutionary study has shown that a prototype of glycosyltransferases, which synthesize a variety of glycan structures in the Golgi apparatus, was conserved between mammals and Drosophila. For analyses of the basic physiological functions of glycans, we established the Drosophila inducible RNAi knockdown system and applied it to one glycosyltransferase and one transporter, proteoglycan UDP-galactose: beta-xylose beta1,4galactosyltransferase I and the PAPS-transporter, respectively. If on the silencing of each gene induced ubiquitously under the control of a cytoplasmic actin promoter, the RNAi knockdown fly died, then the protein was indispensable for life. The expression of the target gene was disrupted specifically and the degree of interference was well correlated with the phenotype. The inducible RNAi knockdown fly obtained using the GAL4-UAS system will pave the way for the functional analysis of glycans.     

A software tool-box for analysis of regulatory RNA elements

We describe an integrated tool-box to identify regulatory RNA elements. The RNA analyzer collects general and specific information on any submitted RNA sequence or batch of sequences in FASTA format. It determines and rapidly scans the different regions of an RNA (including 5' UTR, CDS, 3' UTR in mRNA) and screens for specific RNA signals (in each of these regions, e.g. polyA-site, AU rich region etc. in 3' UTR). It runs a fast folding RNA routine to provide an overview of the RNA fold. Furthermore it analyzes structure content, fold energy and stem loops. In addition, consensus templates are used to determine whether there are any functional structures present for translational control (template: IRE), structured RNA (template: tRNA consensus) or catalytic RNA (template: trans-splicing RNA), giving indications as to how well the structures found match to these templates. The tool box has been implemented as a WWW server at http://wb2x01.biozentrum.uni-wuerzburg.de/.     

RNA interference for analysis of gene function in trypanosomatids

Gene-specific silencing by RNA interference is a valuable tool for analysis of gene function in the protozoan parasite Trypanosoma brucei. The development of tetracycline-regulated vectors for production of double-stranded RNA has facilitated its widespread use. RNA interference provides a fast and efficient method for determining whether a gene is essential for growth and viability, reveals mechanistic information on gene function, and has greatly enhanced our understanding of complex biological processes. Finally, the creation of an RNA interference-based library has allowed, for the first time, an approach for conducting forward genetic experiments in this organism.     

Isolation of pure human mucosal epithelium for RNA analysis

Techniques for isolating the desired cell populations from complex tissues are essential for characterizing cells through mRNA analysis. We established a procedure for isolating pure mucosal epithelium from the human alimentary tract. To do this, we made rotating hooks that hold mucosal strips and detach the epithelial sheets from the irregular mucosae surface in medium containing EDTA. An additional step using a cell strainer was required to reduce contamination by lymphoid cells. Sheets of epithelial cells were detached successfully from mucosal samples derived from five different parts of the human alimentary tract. Contamination by lymphoid cells or fibroblasts was monitored by competitive RT-PCR and was no more than 0.5% of the total cells. Total RNA yields were 12.5-17 micrograms for each separation, and the integrity of the RNA was as good as that of RNAs extracted from mucosa immediately after resection. In conclusion, our method permits isolation of RNAs from a pure population of epithelial cells that can be used for mRNA-based gene expression analyses.     

A procedure for Northern blot analysis of native RNA

We describe a modification of the Northern technique that allows the detection of RNA either native and/or containing hidden breaks. We found that the highest sensitivity of the hybridization signals was obtained after denaturation of the RNA in the gel prior to its transfer onto a nylon membrane (GeneScreen) followed by uv irradiation. The sensitivity of the method using native RNA was found to be equivalent to that obtained with denatured RNA.     

Optimization of liver biopsy RNA sampling and use of reference RNA for cDNA microarray analysis

In this study, we used the rat liver as a model system to optimize the conditions for extracting RNA from liver biopsies for use in cDNA microarrays. We found that a 5-mm biopsy with a 16-gauge needle and storage in RNA later at 4 degrees C were optimal conditions for RNA extraction. The most important factor for the quantity and quality of RNA extraction was the sample diameter. Using the optimized sampling conditions and a cDNA microarray, we compared the expression of genes in the normal and the fibrotic tissues of the LEC rat liver, a model of liver tumorigenesis, with SD rat liver RNA as a reference. We found 29 genes that were up-regulated and 33 genes that were down-regulated in the fibrotic part of the liver. Furthermore, with the help of the reference RNA, we were able to classify the expression profiles into five groups without complex mathematical analyses; without the reference RNA, the genes could be classified into only two groups. Finally, we found that osteopontin was expressed at a very high level in the fibrotic portion of the LEC rat liver. This cDNA microarray result was validated by immunohistochemistry, which showed an elevated expression of osteopontin in the region of cholangiocarcinoma and a lack of expression in normal tissues. With optimized conditions, we should be able to apply the microarray system for routine practice.     

Pulse-polarographic analysis of double-stranded RNA

The reducibility of double-stranded (ds) RNA of phage f2 and its thermally denatured form was studied by the derivative (differential) pulse polarography. It was shown that the denatured RNA produced at neutral and acidic pH values a peak at negative potentials. A peak of dsRNA was much smaller and appeared at more positive potentials. The polarographic behaviour of dsRNA basically agreed with that of DNA; the peaks of dsRNA and its denatured form were however better separated. The lowest amount of the denatured RNA necessay for the determination was about 50 ng. A good sensitivity of pulse polarography for changes in RNA conformation, including damages of the RNA double helix caused by initial attack of an enzyme, low doses of ionizing radiation, etc., was demonstrated. The method was used for testing dsRNA samples prepared for biological experiments; a correlation between the polarographic behaviour of the RNA samples and their antiviral and interferon-inducing activities was found.     

Statistical analysis of RNA backbone

Local conformation is an important determinant of RNA catalysis and binding. The analysis of RNA conformation is particularly difficult due to the large number of degrees of freedom (torsion angles) per residue. Proteins, by comparison, have many fewer degrees of freedom per residue. In this work, we use and extend classical tools from statistics and signal processing to search for clusters in RNA conformational space. Results are reported both for scalar analysis, where each torsion angle is separately studied, and for vectorial analysis, where several angles are simultaneously clustered. Adapting techniques from vector quantization and clustering to the RNA structure, we find torsion angle clusters and RNA conformational motifs. We validate the technique using well-known conformational motifs, showing that the simultaneous study of the total torsion angle space leads to results consistent with known motifs reported in the literature and also to the finding of new ones.     

Strategies for microarray analysis of limiting amounts of RNA.

One of the critical limitations of current microarray technologies for use in expression analyses is the relatively large amount of input RNA required to generate labelled cDNA populations for array analysis. In situations where RNA is limiting, the options for expression profiling are to increase cDNA labelling and hybridisation efficiency, or to use an amplification strategy to generate enough RNA/cDNA for use with a standard labelling method. Sample amplification approaches must preserve the representation of the relative abundances of the different RNAs within the starting population and must also be highly reproducible. This review evaluates current signal and sample amplification technologies, including those that can be used to generate labelled cDNA populations for array analysis from as little as a single cell.     

Optimization of fragmentation conditions for microarray analysis of viral RNA

An important consideration in microarray analysis of nucleic acids is the efficiency with which the target molecule is captured by, or hybridized to, surface-immobilized oligos. For RNA, secondary and tertiary structure of the target strand can significantly decrease capture efficiency. To overcome this limitation, RNA is often fragmented to reduce structural effects. In this study, the metal ion-catalyzed base hydrolysis fragmentation conditions for viral RNA extracted from influenza viruses were evaluated and the hybridization efficiency of the resulting fragments was determined as a function of fragment length. The amount of RNA captured was evaluated qualitatively by fluorescence intensity normalized to an internal standard. Optimized conditions for influenza RNA were determined to include a fragmentation time of 20-30 min at 75 degrees C. These conditions resulted in a maximum concentration of fragments between 38 and 150 nt in length and a maximum in the capture and label efficiency.     

Suitability of stratagene reference RNA for analysis of lymphoid tissues

We evaluated a lymphoid RNA standard prepared in our laboratory for spotted microarrays against the Universal Human Reference standard from Stratagene. Our goal was to determine if the Stratagene standard, which contains only two lymphoid cell lines out of a pool of 10 human cancer cell lines, had acceptable gene coverage to serve as a comprehensive standard for gene expression profiling of lymphoid tissues. Our lymphoid standard was prepared from thymus, spleen, tonsil, and cell lines representing immature B cells, plasma cells, and natural killer (NK) cells, thus covering the entire spectrum of lymphoid cells and most stromal elements present in specialized lymphoid tissues. The two standards were co-hybridized on oligonucleotide microarrays containing 17,260 genes, and both had fluorescence intensities above background for approximately 85% of the genes. Despite the limited representation of lymphoid cells in the Stratagene standard, only 4.2% genes exhibited expression differences greater than 2-fold including only 0.35% with differences greater than 4-fold. Although the lymphoid standard reflected a more comprehensive representation of immune system-associated genes, the Stratagene standard has the advantage of being commercially available, enabling easier comparison across laboratories and allowing comparative studies across a long period of time.     

Synthetic oligoribonucleotides carrying site-specific modifications for RNA structure-function analysis

Synthetic oligoribonucleotides have become increasingly valuable in studies of RNA structure and function. A range of nucleotide analogues is available which carry modifications in the base, sugar or phosphate moieties. Such analogues have been incorporated into synthetic RNA structures to eliminate or alter individual functional groups in the RNA which potentially can take part in hydrogen-bonding or other non-covalent interactions. Comparisons of the properties of the modified RNAs with unmodified RNA models allow conclusions to be drawn concerning the importance or otherwise of specific functional groups within the RNA. These methods have been applied to studies of RNA interactions with proteins, RNA catalysis and RNA structure.