Agnieszka Rybarczyk

Sorting signal targeting mRNA into hepatic extracellular vesicles

Intercellular communication mediated by extracellular vesicles has proved to play an important role in normal and pathological scenarios. However not too much information about the sorting mechanisms involved in loading the vesicles is available. Recently, our group has characterized the mRNA content of vesicles released by hepatic cellular systems, showing that a set of transcripts was particularly enriched in the vesicles in comparison with their intracellular abundance. In the current work, based on in silico bioinformatics tools, we have mapped a novel sequence of 12 nucleotides C[TA]G[GC][AGT]G[CT]C[AT]GG[GA], which is significantly enriched in the set of mRNAs that accumulate in extracellular vesicles. By including a 3′-UTR containing this sequence in a luciferase mRNA reporter, we have shown that in a hepatic cellular system this reporter mRNA was incorporated into extracellular vesicles. This study identifies a sorting signal in mRNAs that is involved in their enrichment in EVs, within a hepatic non-tumoral cellular model.

Organellar inheritance in the allopolyploid moss Rhizomnium pseudopunctatum

Earlier isozyme studies have proved that the moss Rhizomnium pseudopunctatum is an allopolyploid species whose progenitors are the haploid species R. magnifolium and R. gracile. A sequence comparison of chloroplast tRNA L e u (UAA) and tRNA G l y (UCC) gene introns, as well as mitochondrial fragments of nad5 and nad4 gene introns and exons in all three species reveals that the nucleotide sequences studied are almost identical in R. magnifolium and R. pseudopunctatum but differ in R. gracile. Both chloroplasts and mitochondria of R. pseudopunctatum were therefore probably inherited from one parent: R. magnifolium. To our knowledge, this is the first report of uniparental transmission of organelles in mosses.

New in silico approach to assessing RNA secondary structures with non-canonical base pairs

BackgroundThe function of RNA is strongly dependent on its structure, so an appropriate recognition of this structure, on every level of organization, is of great importance. One particular concern is the assessment of base-base interactions, described as the secondary structure, the knowledge of which greatly facilitates an interpretation of RNA function and allows for structure analysis on the tertiary level. The RNA secondary structure can be predicted from a sequence using in silico methods often adjusted with experimental data, or assessed from 3D structure atom coordinates. Computational approaches typically consider only canonical, Watson-Crick and wobble base pairs. Handling of non-canonical interactions, important for a full description of RNA structure, is still very difficult.ResultsWe introduce our novel approach to assessing an extended RNA secondary structure, which characterizes both canonical and non-canonical base pairs, along with their type classification. It is based on predicting the RNA 3D structure from a user-provided sequence or a secondary structure that only describes canonical base pairs, and then deriving the extended secondary structure from atom coordinates. In our example implementation, this was achieved by integrating the functionality of two fully automated, high fidelity methods in a computational pipeline: RNAComposer for the 3D RNA structure prediction and RNApdbee for base-pair annotation.ConclusionsThe presented methodology ties together existing applications for RNA 3D structure prediction and base-pair annotation. The example performance, applying RNAComposer and RNApdbee, reveals better accuracy in non-canonical base pair assessment than the compared methods that directly predict RNA secondary structure.

2D-PAGE as an effective method of RNA degradome analysis

The continuously growing interest in small regulatory RNA exploration is one of the important factors that have inspired the recent development of new high throughput techniques such as DNA microarrays or next generation sequencing. Each of these methods offers some significant advantages but at the same time each of them is expensive, laborious and challenging especially in terms of data analysis. Therefore, there is still a need to develop new analytical methods enabling the fast, simple and cost-effective examination of the complex RNA mixtures. Recently, increasing attention has been focused on the RNA degradome as a potential source of riboregulators. Accordingly, we attempted to employ a two-dimensional gel electrophoresis as a quick and uncomplicated method of profiling RNA degradome in plant or human cells. This technique has been successfully used in proteome analysis. However, its application in nucleic acids studies has been very limited. Here we demonstrate that two dimensional electrophoresis is a technique which allows one to quickly and cost-effectively identify and compare the profiles of 10–90 nucleotide long RNA accumulation in various cells and organs.

Poseidon: An information retrieval and extraction system for metagenomic marine science

Abstract Gathering data has always presented a considerable challenge for scientists, whether it is done in laboratories or through reading specialized journals. It becomes particularly difficult in fields that generate a lot of publications, such as marine microbiology. Professionals interested in environments of seas and oceans, and organisms inhabiting them are faced with a flood of information on a daily basis. It is so because new papers on genetic samples and metagenomes of marine origin are being issued, and that is why the participants of the MetaFunctions project found it necessary to develop a new efficient way of extracting, processing, and storing data. As a result a new system, called Poseidon, was created, offering a convenient alternative to manual extraction of marine microbiology-related information.

AmiRNA Designer — new method of artificial miRNA design

MicroRNAs (miRNAs) are small non-coding RNAs that have been found in most of the eukaryotic organisms. They are involved in the regulation of gene expression at the post-transcriptional level in a sequence specific manner. MiRNAs are produced from their precursors by Dicer-dependent small RNA biogenesis pathway. Involvement of miRNAs in a wide range of biological processes makes them excellent candidates for studying gene function or for therapeutic applications. For this purpose, different RNA-based gene silencing techniques have been developed. Artificially transformed miRNAs (amiRNAs) targeting one or several genes of interest represent one of such techniques being a potential tool in functional genomics. Here, we present a new approach to amiRNA*design, implemented as AmiRNA Designer software. Our method is based on the thermodynamic analysis of the native miRNA/miRNA* and miRNA/target duplexes. In contrast to the available automated tools, our program allows the user to perform analysis of natural miRNAs for the organism of interest and to create customized constraints for the design stage. It also provides filtering of the amiRNA candidates for the potential off-targets. AmiRNA Designer is freely available at http://www.cs.put.poznan.pl/arybarczyk/AmiRNA/.

RNA Partial Degradation Problem: Motivation, Complexity, Algorithm

Studies conducted during the last decade unexpectedly revealed several new biological functions of RNA molecules. The involvement of RNA in many complex processes requires highly effective systems controlling its accumulation. In this context, the mechanisms of degradation appear as one of the most important factors influencing RNA activity. Here, we present our first attempt to describe the RNA degradation process using bioinformatics methods. Based on the obtained data, we propose a formulation of a new problem, called RNA Partial Degradation Problem (RNA PDP) and the algorithm that is capable of reconstructing an RNA molecule using the results of biochemical analysis of its degradation. In addition, we present the results of biochemical experiments and computational tests.

RNA-Seq-based analysis of differential gene expression associated with hepatitis C virus infection in a cell culture.

Hepatitis C virus (HCV) infection is one of the major causes of chronic liver diseases. Unfortunately, the mechanisms of HCV infection-induced liver injury and host-virus interactions are still not well recognized. To better understand these processes we determined the changes in the host gene expression that occur during HCV infection of Huh-7.5 cells. As a result, we identified genes that may contribute to the immune and metabolic cellular responses to infection. Pathway enrichment analysis indicated that HCV induced an increased expression of genes involved in mitogen-activated protein kinases signaling, adipocytokine signaling, cell cycle and nitrogen metabolism. In addition, the enrichment analyses of processes and molecular functions revealed that the up-regulated genes were mainly implicated in the negative regulation of phosphorylation. Construction of the pathway-gene-process network enabled exploration of a much more complex landscape of molecular interactions. Consequently, several essential processes altered by HCV infection were identified: negative regulation of cell cycle, response to endoplasmic reticulum stress, response to reactive oxygen species, toll-like receptor signaling and pattern recognition receptor signaling. The analyses of genes whose expression was decreased upon HCV infection showed that the latter were engaged in the metabolism of lipids and amino acids. Moreover, we observed disturbance in the cellular antiviral defense. Altogether, our results demonstrated that HCV infection elicits host response that includes a very wide range of cellular mechanisms. Our findings significantly broaden the understanding of complex processes that accompany HCV infection. Consequently, they may be used for developing new host-oriented therapeutic strategies.

Modeling of the catalytic core of Arabidopsis thaliana Dicer-like 4 protein and its complex with double-stranded RNA

Plant Dicer-like proteins (DCLs) belong to the Ribonuclease III (RNase III) enzyme family. They are involved in the regulation of gene expression and antiviral defense through RNA interference pathways. A model plant, Arabidopsis thaliana encodes four DCL proteins (AtDCL1-4) that produce different classes of small regulatory RNAs. Our studies focus on AtDCL4 that processes double-stranded RNAs (dsRNAs) into 21 nucleotide trans-acting small interfering RNAs. So far, little is known about the structures of plant DCLs and the complexes they form with dsRNA. In this work, we present models of the catalytic core of AtDCL4 and AtDCL4-dsRNA complex constructed by computational methods. We built a homology model of the catalytic core of AtDCL4 comprising Platform, PAZ, Connector helix and two RNase III domains. To assemble the AtDCL4-dsRNA complex two modeling approaches were used. In the first method, to establish conformations that allow building a consistent model of the complex, we used Normal Mode Analysis for both dsRNA and AtDCL4. The second strategy involved template-based approach for positioning of the PAZ domain and manual arrangement of the Connector helix. Our results suggest that the spatial orientation of the Connector helix, Platform and PAZ relative to the RNase III domains is crucial for measuring dsRNA of defined length. The modeled complexes provide information about interactions that may contribute to the relative orientations of these domains and to dsRNA binding. All these information can be helpful for understanding the mechanism of AtDCL4-mediated dsRNA recognition and binding, to produce small RNA of specific size.

RNAvista: a webserver to assess RNA secondary structures with non-canonical base pairs

Motivation: In the study of 3D RNA structure, information about non‐canonical interactions between nucleobases is increasingly important. Specialized databases support investigation of this issue based on experimental data, and several programs can annotate non‐canonical base pairs in the RNA 3D structure. However, predicting the extended RNA secondary structure which describes both canonical and non‐canonical interactions remains difficult. Results: Here, we present RNAvista that allows predicting an extended RNA secondary structure from sequence or from the list enumerating canonical base pairs only. RNAvista is implemented as a publicly available webserver with user‐friendly interface. It runs on all major web browsers. Availability and implementation: http://rnavista.cs.put.poznan.pl