siRNAs and miRNAs: small RNA molecules for big tasks

Small RNAs have been recently discovered as important regulators of gene expression in Eukaryota. This review compares two categories of small RNAs existing in plants: short interfering RNAs (siRNAs) and microRNAs (miRNAs) and reveals similarities and differences between two intriguing processes: RNA degradation and translational repression directed by small RNAs. The disruption of miRNA-mediated regulation causes developmental abnormalities in plants, proving a fundamental role of miRNAs.     

RNA as a target for small molecules

Proteins are folded to form a small binding site for catalysis or ligand recognition and this small binding site is traditionally the target for drug discovery. An alternative target for potential drug candidates is the translational process, which requires a precise reading of the entire mRNA sequence and, therefore, can be interrupted with small molecules that bind to mRNA sequence-specifically. RNA thus presents itself as a new upstream target for drug discovery because of the critical role it plays in the life of pathogens and in the progression of diseases. In this post-genomic era, RNA is becoming increasingly amenable to small-molecule therapy as greater structural and functional information accumulates with regard to important RNA functional domains. The study of aminoglycoside antibiotics and their binding to 16S ribosomal RNA has been a paradigm for our understanding of the ways in which small molecules can be developed to affect the function of RNA.     

Induction of TRPV5 expression by small activating RNA targeting gene promoter as a novel approach to regulate cellular calcium transportation

Aim

Promoter-targeted small activating RNAs (saRNAs) have been shown to be able to induce target gene expression, a mechanism known as RNA activation (RNAa). The present study tested whether saRNA can induce the overexpression of TRPV5 in human cells derived from the kidney and subsequently manipulate cell calcium uptake.

Main methods

Three saRNAs complementary to the TRPV5 promoter were synthesized and transfected into cells. TRPV5 expression at the RNA and protein levels was analyzed by quantitative real-time PCR and Western blotting respectively. For functional study, transcellular Ca^2 + transportation was tested by fura-2 analysis. Dihydrotestosterone (DHT), a suppressor of cellular calcium transportation, was administered to challenge the activating effect of selected saRNA.

Key findings

One of these synthesized saRNAs, ds-2939, significantly induced the expression of TRPV5 at both mRNA and protein levels. Fura-2 analysis revealed that the intracellular Ca^2 + concentration was elevated by ds-2939. DHT treatment reduced transmembrane Ca^2 + transport, which was partially antagonized by ds-2939.

Significance

Our results suggest that a saRNA targeting TRPV5 promoter can be utilized to manipulate the transmembrane Ca^2 + transport by upregulating the expression of TRPV5 and may serve as an alternative for the treatment of Ca^2 + balance-related diseases.     

Combinatorial peptidomics: a generic approach for protein expression profiling

Traditional approaches to protein profiling were built around the concept of investigating one protein at a time and have long since reached their limits of throughput. Here we present a completely new approach for comprehensive compositional analysis of complex protein mixtures, capable of overcoming the deficiencies of current proteomics techniques. The Combinatorial methodology utilises the peptidomics approach, in which protein samples are proteolytically digested using one or a combination of proteases prior to any assay being carried out. The second fundamental principle is the combinatorial depletion of the crude protein digest (i.e. of the peptide pool) by chemical crosslinking through amino acid side chains. Our approach relies on the chemical reactivities of the amino acids and therefore the amino acid content of the peptides (i.e. their information content) rather than their physical properties. Combinatorial peptidomics does not use affinity reagents and relies on neither chromatography nor electrophoretic separation techniques. It is the first generic methodology applicable to protein expression profiling, that is independent of the physical properties of proteins and does not require any prior knowledge of the proteins. Alternatively, a specific combinatorial strategy may be designed to analyse a particular known protein on the basis of that protein sequence alone or, in the absence of reliable protein sequence, even the predicted amino acid translation of an EST sequence. Combinatorial peptidomics is especially suitable for use with high throughput micro- and nano-fluidic platforms capable of running multiple depletion reactions in a single disposable chip.     

A novel method to measure self-association of small amphipathic molecules: temperature profiling in reversed-phase chromatography

Biophysical techniques such as size-exclusion chromatography, sedimentation equilibrium analytical ultracentrifugation, and non-denaturing gel electrophoresis are the classical methods for determining the self-association of molecules into dimers, trimers, or other higher order species. However, these techniques usually require high (mg/ml) loading concentrations to detect self-association and also possess a lower size limit that is dependent on the ability of the technique to resolve monomeric from higher order species. Here we describe a novel, sensitive method with no upper or lower molecular size limits that indicates self-association of molecules driven together by the hydrophobic effect under aqueous conditions. "Temperature profiling in reversed-phase chromatography" analyzes the retention behavior of a sample over the temperature range of 5-80 degrees C during gradient elution reversed-phase high-performance liquid chromatography. Because this technique greatly increases the effective concentration of analyte upon adsorption to the column, it is extremely sensitive, requiring very small sample quantities (microgram or less). In contrast, the classical techniques mentioned above decrease the effective analyte concentration during analysis, decreasing sensitivity by requiring larger amounts of analyte to detect molecular self-association. We demonstrate the utility of this technique with 14-residue cyclic and linear cationic peptides (<2000 Da) based on the sequence of the de novo-designed cytolytic peptide, GS14. The only requirements for the analyte molecule when using this technique are its ability to be retained on the reversed-phase column and to be subsequently removed from the column during gradient elution.     

Suicide seasonality: complex demodulation as a novel approach in epidemiologic analysis

Background

Seasonality of suicides is well-known and nearly ubiquitous, but recent evidence showed inconsistent patterns of decreasing or increasing seasonality in different countries. Furthermore, strength of seasonality was hypothesized to be associated with suicide prevalence. This study aimed at pointing out methodological difficulties in examining changes in suicide seasonality.

Methododology/Principal Findings

The present study examines the hypothesis of decreasing seasonality with a superior method that allows continuous modeling of seasonality. Suicides in Austria (1970–2008, N = 67,741) were analyzed with complex demodulation, a local (point-in-time specific) version of harmonic analysis. This avoids the need to arbitrarily split the time series, as is common practice in the field of suicide seasonality research, and facilitates incorporating the association with suicide prevalence. Regression models were used to assess time trends and association of amplitude and absolute suicide numbers. Results showed that strength of seasonality was associated with absolute suicide numbers, and that strength of seasonality was stable during the study period when this association was taken into account.

Conclusion/Significance

Continuous modeling of suicide seasonality with complex demodulation avoids spurious findings that can result when time series are segmented and analyzed piecewise or when the association with suicide prevalence is disregarded.     

MoiRNAiFold: a novel tool for complex in silico RNA design

Novel tools for in silico design of RNA constructs such as riboregulators are required in order to reduce time and cost to production for the development of diagnostic and therapeutic advances. Here, we present MoiRNAiFold, a versatile and user-friendly tool for de novo synthetic RNA design. MoiRNAiFold is based on Constraint Programming and it includes novel variable types, heuristics and restart strategies for Large Neighborhood Search. Moreover, this software can handle dozens of design constraints and quality measures and improves features for RNA regulation control of gene expression, such as Translation Efficiency calculation. We demonstrate that MoiRNAiFold outperforms any previous software in benchmarking structural RNA puzzles from EteRNA. Importantly, with regard to biologically relevant RNA designs, we focus on RNA riboregulators, demonstrating that the designed RNA sequences are functional both in vitro and in vivo. Overall, we have generated a powerful tool for de novo complex RNA design that we make freely available as a web server (https://moiraibiodesign.com/design/).     

Human galectin-2: expression profiling by RT-PCR/immunohistochemistry and its introduction as a histochemical tool for ligand localization

Sugar-encoded information of glyco-conjugates is translated into cellular responses by endogenous lectins. Galectins stand out against other lectin families due to their wide range of functions including cell adhesion, tissue invasion or growth regulation exerted at extracellular, membrane, cytoplasmic and nuclear sites. This remarkable versatility warrants close scrutiny of their emerging network, in this study with focus on homodimeric human galectin-2. We first detected presence of specific mRNA in various tissue types by processing post mortem and surgical specimens by RT-PCR protocols. Overlap of gene expression was noted with proto-type galectins-1 and -7 and also family members from the other two subgroups. To monitor expression on the level of protein a polyclonal anti-galectin-2 antibody was raised. Immunopositivity was semi-quantitatively assessed in sections of 209 human samples establishing an array both of normal tissues and samples with inflammation or benign/malignant growth. In general, positivity was predominantly epithelial without restriction of staining to certain tissue types, as fittingly indicated by our RT-PCR analysis. Staining was not limited to the cytoplasm but also included nuclear sites. To examine the suitability of the labeled lectin as a histochemical probe we biotinylated galectin-2 under activity-preserving conditions and introduced it to tissue profiling. Specific cytoplasmic staining proved the validity of the concept. Our results encourage systematic histopathologic studies by immuno- and lectin histochemistry, especially by adding galectin-2 as study object to galectin fingerprinting which has already yielded prognostic information on galectins-1, -3, -4 and -8 and hereby contributed to define functional overlap/divergence in this lectin family.     

miRNA profiling in leaf and cork tissues of Quercus suber reveals novel miRNAs and tissue-specific expression patterns

The differentiation of cork (phellem) cells from the phellogen (cork cambium) is a secondary growth process observed in the cork oak tree conferring a unique ability to produce a thick layer of cork. At present, the molecular regulators of phellem differentiation are unknown. The previously documented involvement of microRNAs (miRNAs) in the regulation of developmental processes, including secondary growth, motivated the search for these regulators in cork oak tissues. We performed deep sequencing of the small RNA fraction obtained from cork oak leaves and differentiating phellem. RNA sequences with lengths of 19–25 nt derived from the two libraries were analysed, leading to the identification of 41 families of conserved miRNAs, of which the most abundant were miR167, miR165/166, miR396 and miR159. Thirty novel miRNA candidates were also unveiled, 11 of which were unique to leaves and 13 to phellem. Northern blot detection of a set of conserved and novel miRNAs confirmed their differential expression profile. Prediction and analysis of putative miRNA target genes provided clues regarding processes taking place in leaf and phellem tissues, but further experimental work will be needed for functional characterization. In conclusion, we here provide a first characterization of the miRNA population in a Fagacea species, and the comparative analysis of miRNA expression in leaf and phellem libraries represents an important step to uncovering specific regulatory networks controlling phellem differentiation.     

Protein expression profiling in chemical carcinogenesis: a proteomic-based approach

The simultaneous analysis of a wide array of proteins may provide valuable information on the activation and suppression of cellular systems at different stages of the exposure-disease continuum. In this review, results of proteomic studies in the field of toxicology are covered, focusing on the effects of chemical carcinogens. So far, alterations of highly abundant proteins have been identified which, irrespective of the wide differences in study design and technologies used, can be grossly assigned to three functional classes: proteins related to cellular stress response, inflammation, and stimulation of the immune system. It is obvious that the observed protein alterations are not causal factors in the development of chemically induced cancer but rather reflect common reactions to cellular perturbations. In order to gain deeper insights into the process of chemical carcinogenesis, the previously applied "shotgun" analyses have to be abandoned in favour of targeted proteomic approaches focusing on the accurate identification and quantification of selected proteins. Advanced analytical techniques such as selective reaction monitoring (SRM) and multiple reaction monitoring (MRM) offer this opportunity. If toxicoproteomic research moves into that direction and takes advantage of such techniques it will have the potential to contribute to the elucidation of chemical carcinogenesis.     

Identification and profiling of novel microRNAs in the Brassica rapagenome based on small RNA deep sequencing

Background

Cowpea is a highly inbred crop. It is part of a crop-weed complex, whose origin and dynamics is unknown, which is distributed across the African continent. This study examined outcrossing rates and genetic structures in 35 wild cowpea (Vigna unguiculata ssp. unguiculata var. spontanea) populations from West Africa, using 21 isozyme loci, 9 of them showing polymorphism.

Results

Outcrossing rates ranged from 1% to 9.5% (mean 3.4%), which classifies the wild cowpea breeding system as primarily selfing, though rare outcrossing events were detected in each population studied. Furthermore, the analyses of both the genetic structure of populations and the relationships between the wild and domesticated groups suggest possibilities of gene flow that are corroborated by field observations.

Conclusions

As expected in a predominantly inbred breeding system, wild cowpea shows high levels of genetic differentiation and low levels of genetic diversity within populations. Gene flow from domesticated to wild cowpea does occur, although the lack of strong genetic swamping and modified seed morphology in the wild populations suggest that these introgressions should be rare.     

Standardized sample preparation phases for a quantitative measurement of plasma peptidome profiling by MALDI-TOF

A growing body of literature defines MALDI-TOF MS as a technique for studying plasma and serum, thus enabling the detection of proteins, and the generation of reproducible protein profile mass spectra, potentially able to discriminate correctly different biological systems.In this work, the different steps of the pre-analytical phase that may affect the reproducibility of plasma proteome analysis have been carefully considered.The results showed that the method is highly accurate (9.1%) and precise (8.9%) and the calibration curve for the ACTH (18–39), in human plasma, gave a good correlation coefficient (r > 0.99 and r² > 0.98). The limit of detection (LOD) and the limit of quantification (LOQ), relative intensity, were of 0.5 × 10^?9 M and 1.0 × 10^?9 M respectively.Thus, an assay has been developed for the detection of low-abundant and low molecular weight proteins, from human plasma, aiming at the identification of new potential biomarkers. The method was tested on plasma from patients with a first diagnosis of pelvic mass. Statistical analysis of plasma profile generated a sub-profile of 17 peptides with their relative abundance able to discriminate patients bearing malignant or benign tumors. The sensitivity and specificity were 85.7% and 80.0% respectively.