Soft Computing Approach for Optimization of siRNA Efficiency Prediction for Post-transcriptional Gene Silencing

Post-transcriptional gene silencing by RNA interference is mediated by small interfering RNA called siRNA. This gene silencing mechanism can be exploited therapeutically to a wide variety of disease-associated targets, especially in AIDS, neurodegenerative diseases, cholesterol and cancer on mice with the hope of extending these approaches to treat humans. Over the recent past, a significant amount of work has been undertaken to understand the gene silencing mediated by exogenous siRNA. The design of efficient exogenous siRNA sequences is challenging because of many issues related to siRNA. While designing efficient siRNA, target mRNAs must be selected such that their corresponding siRNAs are likely to be efficient against that target and unlikely to accidentally silence other transcripts due to sequence similarity. So before doing gene silencing by siRNAs, it is essential to analyze their off-target effects in addition to their inhibition efficiency against a particular target. Hence designing exogenous siRNA with good knock-down efficiency and target specificity is an area of concern to be addressed. Some methods have been developed already by considering both inhibition efficiency and off-target possibility of siRNA against agene. Out of these methods, only a few have achieved good inhibition efficiency, specificity and sensitivity. The main focus of this thesis is to develop computational methods to optimize the efficiency of siRNA in terms of “inhibition capacity and off-target possibility” against target mRNAs with improved efficacy, which may be useful in the area of gene silencing and drug design for tumor development. This study aims to investigate the currently available siRNA prediction approaches and to devise a better computational approach to tackle the problem of siRNA efficacy by inhibition capacity and off-target possibility. The strength and limitations of the available approaches are investigated and taken into consideration for making improved solution. Thus the approaches proposed in this study extend some of the good scoring previous state of the art techniques by incorporating machine learning and statistical approaches and thermodynamic features like whole stacking energy to improve the prediction accuracy, inhibition efficiency, sensitivity and specificity. Here, we propose one Support Vector Machine (SVM) model, and two Artificial Neural Network (ANN) models for siRNA efficiency prediction. In SVM model, the classification property is used to classify whether the siRNA is efficient or inefficient in silencing a target gene. The first ANNmodel, named siRNA Designer, is used for optimizing the inhibition efficiency of siRNA against target genes. The second ANN model, named Optimized siRNA Designer, OpsiD, produces efficient siRNAs with high inhibition efficiency to degrade target genes with improved sensitivity-specificity, and identifies the off-target knockdown possibility of siRNA against non-target genes. The models are trained and tested against a large data set of siRNA sequences. The validations are conducted using Pearson Correlation Coefficient, Mathews Correlation Coefficient, Receiver Operating Characteristic analysis, Accuracy of prediction, Sensitivity and Specificity. It is found that the approach, OpsiD, is capable of predicting the inhibition capacity of siRNA against a target mRNA with improved results over the state of the art techniques. Also we are able to understand the influence of whole stacking energy on efficiency of siRNA. The model is further improved by including the ability to identify the “off-target possibility” of predicted siRNA on non-target genes. Thus the proposed model, OpsiD, can predict optimized siRNA by considering both “inhibition efficiency on target genes and off-target possibility on non-target genes”, with improved inhibition efficiency, specificity and sensitivity. Since we have taken efforts to optimize the siRNA efficacy in terms of “inhibition efficiency and offtarget possibility”, we hope that the risk of “off-target effect” while doing gene silencing in various bioinformatics fields can be overcome to a great extent. These findings may provide new insights into cancer diagnosis, prognosis and therapy by gene silencing. The approach may be found useful for designing exogenous siRNA for therapeutic applications and gene silencing techniques in different areas of bioinformatics.

The post-transcriptional gene silencing pathway in Eucalyptus

Post-transcriptional gene silencing (PTGS) is a conserved surveillance mechanism that identifies and cleaves double-stranded RNA molecules and their cellular cognate transcripts. The RNA silencing response is actually used as a powerful technique (named RNA interference) for potent and specific inhibition of gene expression in several organisms. To identify gene products in Eucalyptus sharing similarities with enzymes involved in the PTGS pathway, we queried the expressed sequence tag database of the Brazilian Eucalyptus Genome Sequence Project Consortium (FORESTs) with the amino acid sequences of known PTGS-related proteins. Among twenty-six prospected genes, our search detected fifteen assembled sequences encoding products presenting high level of similarity (E value < 10 -40) to proteins involved in PTGS in plants and other organisms. We conclude that most of the genes known to be involved in the PTGS pathway are represented in the FORESTs database. Copyright by the Brazilian Society of Genetics.

Role of Sam68 in post-transcriptional gene regulation.

The STAR family of proteins links signaling pathways to various aspects of post-transcriptional regulation and processing of RNAs. Sam68 belongs to this class of heteronuclear ribonucleoprotein particle K (hnRNP K) homology (KH) single domain-containing family of RNA-binding proteins that also contains some domains predicted to bind critical components in signal transduction pathways. In response to phosphorylation and other post-transcriptional modifications, Sam68 has been shown to have the ability to link signal transduction pathways to downstream effects regulating RNA metabolism, including transcription, alternative splicing or RNA transport. In addition to its function as a docking protein in some signaling pathways, this prototypic STAR protein has been identified to have a nuclear localization and to take part in the formation of both nuclear and cytosolic multi-molecular complexes such as Sam68 nuclear bodies and stress granules. Coupling with other proteins and RNA targets, Sam68 may play a role in the regulation of differential expression and mRNA processing and translation according to internal and external signals, thus mediating important physiological functions, such as cell death, proliferation or cell differentiation.

Fate of hairpin transcript components during RNA silencing and its suppression in transgenic virus-resistant tobacco

Transgenic tobacco plants, carrying a Potato virus Y (PVY)-NIa hairpin sequence separated by a unique unrelated spacer sequence were specifically silenced and highly resistant to PVY infection. In such plants neither PVY-NIa nor spacer transgene transcripts were detectable by specific quantitative real time reverse transcriptase PCR (RT-qPCR) assays of similar relative efficiencies developed for direct comparative analysis. However, small interfering RNAs (siRNAs) specific for the PVY sequence of the transgene and none specific for the LNYV spacer sequence were detected. Following infection with Cucumber mosaic virus (CMV), which suppresses dsRNA-induced RNA silencing, transcript levels of PVY-NIa as well as spacer sequence increased manifold with the same time course. The cellular abundance of the single-stranded (ss) spacer sequence was consistently higher than that of PVY dsRNA in all cases. The results show that during RNA silencing and its suppression of a hairpin transcript in transgenic tobacco, the ssRNA spacer sequence is affected differently than the dsRNA. In PVY-silenced plants. the spacer is efficiently degraded by a mechanism not involving the accumulation of siRNAs, while following suppression of RNA silencing by CMV, the spacer appears protected from degradation. Crown Copyright (c) 2006 Published by Elsevier B.V. All rights reserved.

Preliminary analysis of miRNA pathway in Schistosoma mansoni

RNA silencing refers to a series of nuclear and cytoplasmatic processes involved in the post-transcriptional regulation of gene expression or post-transcriptional gene silencing (PTGS), either by sequence-specific mRNA degradation or by translational at-rest. The best characterized small RNAs are microRNAs (miRNAs), which predominantly perform gene silencing through post-transcriptional mechanisms. in this work we used bioinformatic approaches to identify the parasitic trematode Schistosoma Mansoni sequences that are similar to enzymes involved in the post-transcriptional gene silencing mediated by miRNA pathway. We used amino acid sequences of well-known proteins involved in the miRNA pathway against S. mansoni genome and transcriptome databases identifying a total of 13 Putative proteins in the parasite. In addition, the transcript levels of SinDicer1 and SmAgo2/3/4 were identified by qRT-PCR using cercariae, adult worms, eggs and in vitro Cultivated schistosomula. Our results showed that the SmDicer1 and SmAgo2/3/4 are differentially expressed during schistosomula development, suggesting that the miRNA pathway is regulated at the transcript level and therefore may control gene expression during the life cycle of S. mansoni. (C) 2008 Published by Elsevier Ireland Ltd.

RNA interference: a new and powerful tool for functional genomic analysis.

In many species, the introduction of double-stranded RNA induces potent and specific gene silencing, referred to as RNA interference. This phenomenon, which is based on targeted degradation of mRNAs and occurs in almost any eukaryote, from trypanosomes to mice including plants and fungi, has sparked general interest from both applied and fundamental standpoints. RNA interference, which is currently used to investigate gene function in a variety of systems, is linked to natural resistance to viruses and transposon silencing, as if it were a primitive immune system involved in genome surveillance. Here, we review the mechanism of RNA interference in post-transcriptional gene silencing, its function in nature, its value for functional genomic analysis, and the modifications and improvements that may make it more efficient and inheritable. We also discuss the future directions of this versatile technique in both fundamental and applied science.

Transgenic passionfruit expressing RNA derived from Cowpea aphid-borne mosaic virus is resistant to passionfruit woodiness disease

Sixteen transgenic yellow passionfruit (Passiflora spp.) plants (R0) were obtained which express a non-translatable transgenic RNA corresponding to the 3' region of the NIb gene and the 5' region of the CP gene, derived from the genome of a Brazilian isolate of Cowpea aphid-borne mosaic virus (CABMV). The transgenic plants were propagated by stem cuttings and challenged by sap inoculation with isolates CABMV-MG1 and CABMV-PE1. One transgenic plant (TE5-10) was resistant to the isolate CABMV-MG1, but susceptible to CABMV-PE1. The remaining transgenic plants developed systemic symptoms, equal to non-transformed plants, when inoculated with either isolate. The absence of virus in TE5-10 plants was confirmed by indirect ELISA. Transcription analysis of the transgene demonstrated that the TE5-10 plant did not accumulate transgenic mRNA, even before inoculation. After inoculation, viral RNA was only detected in plants inoculated with CABMV-PE1. These results confirm that the transgenic plant TE5-10 is resistant to isolate CABMV-MG1, and suggest that the resistance mechanism is post-transcriptional gene silencing, which is already activated in the transgenic plants before virus inoculation.

Efficient RNAi-induced Protein Knockdown in Somatic Cells Using Diced or Chemically Produced Small Interfering RNAs (siRNA)

Background: RNA interference (RNAi) is a post-transcriptional gene silencing process in which double-stranded RNA (dsRNA) directs the degradation of a specific corresponding target mRNA. The mediators of this process are small dsRNAs of approximately 21 to 23 bp in length, called small interfering RNAs (siRNAs), which can be prepared in vitro and used to direct the degradation of specific mRNAs inside cells. Hence, siRNAs represent a powerful tool to study and control gene and cell function. Rapid progress has been made in the use of siRNA as a means to attenuate the expression of any protein for which the cDNA sequence is known. Individual siRNAs can be chemically synthesized, in vitro-transcribed, or expressed in cells from siRNA expression vectors. However, screening for the most efficient siRNAs for post-transcriptional gene silencing in cells in culture is a laborious and expensive process. In this study, the effectiveness of two siRNA production strategies for the attenuation of abundant proteins for DNA repair were compared in human cells: (a) the in vitro production of siRNA mixtures by the Dicer enzyme (Diced siRNAs); and (b) the chemical synthesis of very specific and unique siRNA sequences (Stealth RNai (TM)). Materials, Methods & Results: For in vitro-produced siRNAs, two segments of the human Ku70 (167 bp in exon 5; and 249 bp in exon 13; NM001469) and Xrcc4 (172 bp in exon 2; and 108 bp in exon 6; NM003401) genes were chosen to generate dsRNA for subsequent "Dicing" to create mixtures of siRNAs. The Diced fragments of siRNA for each gene sequence were pooled and stored at -80 degrees C. Alternatively, chemically synthesized Stealth siRNAs were designed and generated to match two very specific gene sequence regions for each target gene of interest (Ku70 and Xrcc4). HCT116 cells were plated at 30% confluence in 24- or 6-well culture plates. The next day, cells were transfected by lipofection with either Diced or Stealth siRNAs for Ku70 or Xrcc4, in duplicate, at various doses, with blank and sham transfections used as controls. Cells were harvested at 0, 24, 48, 72 and 96 h post-transfection for protein determination. The knockdown of specific targeted gene products was quantified by Western blot using GAPDH as control. Transfection of gene-specific siRNA to either Ku70 or Xrcc4 with both Diced and Stealth siRNAs resulted in a down regulation of the targeted proteins to approximately 10 to 20% of control levels 48 h after transfection, with recovery to pre-treatment levels by 96 h. Discussion: By transfecting cells with Diced or chemically synthesized Stealth siRNAs, Ku70 and Xrcc4, two highly expressed proteins in cells, were effectively attenuated, demonstrating the great potential for the use of both siRNA production strategies as tools to perform loss of function experiments in mammalian cells. In fact, down-regulation of Ku70 and Xrcc4 has been shown to reduce the activity of the non-homologous end joining DNA pathway, a very desirable approach for the use of homologous recombination technology for gene targeting or knockout studies. Stealth RNAi (TM) was developed to achieve high specificity and greater stability when compared with mixtures of enzymatically-produced (Diced) siRNA fragments. In this study, both siRNA approaches inhibited the expression of Ku70 and Xrcc4 gene products, with no detectable toxic effects to the cells in culture. However, similar knockdown effects using Diced siRNAs were only attained at concentrations 10-fold higher than with Stealth siRNAs. The application of RNAi technology will expand and continue to provide new insights into gene regulation and as potential applications for new therapies, transgenic animal production and basic research.

Studio dei meccanismi molecolari coinvolti nel determinismo sintomatologico di piante infette da virus e virus-satelliti

The aim of our work was to study the molecular mechanisms involved in symptoms appearance of plants inoculated either with a virus or with a virus-satellite complex. In the first case, we tried to set up a reliable method for an early identification of PVYNTN strains present in Italy and causing potato tuber necrosis. This, to prevent their spread in the field and to avoid severe yield losses, especially in seed potato production. We tried to localize the particular genomic region responsible for tuber necrosis. To this purpose, we carried out RT-PCR experiments using various primer combinations, covering PVY genomic regions larger than those previously used by other authors. As the previous researchers, though, we were not able to differentiate all NTN from others PVY strains. This probably because of the frequent virus variability, due to both genomic mutations and possible recombination events among different strains. In the second case, we studied the influence of Y-sat (CaRNA5 satellite) on symptoms of CMV (Cucumber mosaic virus) in Nicotiana benthamiana plants: strong yellowing appearance instead of simple mosaic. Wang et al (2004), inoculating the same infectious complex on tobacco plants transformed with a viral suppressor of plant silencing (HC-PRO), did not experience the occurrence of yellowing anymore and, therefore, hypotesized that changes in symptoms were due to plant post transcriptional gene silencing (PTGS) mechanism. In our case, inoculation of N. benthamiana plants transformed with another PTGS viral suppressor (p19), and other plants defective for RNA polymerase 6 (involved in systemic silencing), still resulted in yellowing appearance. This, to our opinion, suggests that in our system another possible mechanism is involved.

Molecular mechanisms involved in the pathogenesis of beet soil-borne viruses.

The genus Benyvirus includes the most important and widespread sugar beet viruses transmitted through the soil by the plasmodiophorid Polymyxa betae. In particular Beet necrotic yellow vein virus (BNYVV), the leading infectious agent that affects sugar beet, causes an abnormal rootlet proliferation known as rhizomania. Beet soil-borne mosaic virus (BSBMV) is widely distributed in the United States and, up to date has not been reported in others countries. My PhD project aims to investigate molecular interactions between BNYVV and BSBMV and the mechanisms involved in the pathogenesis of these viruses. BNYVV full-length infectious cDNA clones were available as well as full-length cDNA clones of BSBMV RNA-1, -2, -3 and -4. Handling of these cDNA clones in order to produce in vitro infectious transcripts need sensitive and expensive steps, so I developed agroclones of BNYVV and BSBMV RNAs, as well as viral replicons allowing the expression of different proteins. Chenopodium quinoa and Nicotiana benthamiana plants have been infected with in vitro transcripts and agroclones to investigate the interaction between BNYVV and BSBMV RNA-1 and -2 and the behavior of artificial viral chimeras. Simultaneously I characterized BSBMV p14 and demonstrated that it is a suppressor of post-transcriptional gene silencing sharing common features with BNYVV p14.

Conjugated polymer nanoparticles for effective siRNA delivery to tobacco BY-2 protoplasts

Background Post transcriptional gene silencing (PTGS) is a mechanism harnessed by plant biologists to knock down gene expression. siRNAs contribute to PTGS that are synthesized from mRNAs or viral RNAs and function to guide cellular endoribonucleases to target mRNAs for degradation. Plant biologists have employed electroporation to deliver artificial siRNAs to plant protoplasts to study gene expression mechanisms at the single cell level. One drawback of electroporation is the extensive loss of viable protoplasts that occurs as a result of the transfection technology. Results We employed fluorescent conjugated polymer nanoparticles (CPNs) to deliver siRNAs and knockdown a target gene in plant protoplasts. CPNs are non toxic to protoplasts, having little impact on viability over a 72 h period. Microscopy and flow cytometry reveal that CPNs can penetrate protoplasts within 2 h of delivery. Cellular uptake of CPNs/siRNA complexes were easily monitored using epifluorescence microscopy. We also demonstrate that CPNs can deliver siRNAs targeting specific genes in the cellulose biosynthesis pathway (NtCesA-1a and NtCesA-1b). Conclusions While prior work showed that NtCesA-1 is a factor involved in cell wall synthesis in whole plants, we demonstrate that the same gene plays an essential role in cell wall regeneration in isolated protoplasts. Cell wall biosynthesis is central to cell elongation, plant growth and development. The experiments presented here shows that NtCesA is also a factor in cell viability. We show that CPNs are valuable vehicles for delivering siRNAs to plant protoplasts to study vital cellular pathways at the single cell level.

Post-transcriptional silencing of the SGE1 gene induced by a dsRNA hairpin in Fusarium oxysporum f. sp cubense, the causal agent of Panama disease.

Fusarium oxysporum f. sp cubense (Foc), the causal agent of Panama disease, is responsible for economic losses in banana crops worldwide. The identification of genes that effectively act on pathogenicity and/or virulence may contribute to the development of different strategies for disease control and the production of resistant plants. The objective of the current study was to analyze the importance of SGE1 gene expression in Foc virulence through post-transcriptional silencing using a double-stranded RNA hairpin.

Post-transcriptional Regulation of Mammalian Gene Expression in Non-coding Region of Target RNA

Tumor Suppressor Candidate 2 (TUSC2) is a novel tumor suppressor gene located in the human chromosome 3p21.3 region. TUSC2 mRNA transcripts could be detected on Northern blots in both normal lung and some lung cancer cell lines, but no endogenous TUSC2 protein could be detected in a majority of lung cancer cell lines. Mechanisms regulating TUSC2 protein expression and its inactivation in primary lung cancer cells are largely unknown. We investigated the role of the 5’- and 3’-untranslated regions (UTRs) of the TUSC2 gene in the regulation of TUSC2 protein expression. We found that two small upstream open-reading frames (uORFs) in the 5’UTR of TUSC2 could markedly inhibit the translational initiation of TUSC2 protein by interfering with the “scanning” of the ribosome initiation complexes. Site-specific stem-loop array reverse transcription-polymerase chain reaction (SLA-RT-PCR) verified several micoRNAs (miRNAs) targeted at 3’UTR and directed TUSC2 cleavage and degradation. In addition, we used the established let-7-targeted high mobility group A2 (Hmga2) mRNA as a model system to study the mechanism of regulation of target mRNA by miRNAs in mammalian cells under physiological conditions. There have been no evidence of direct link between mRNA downregulation and mRNA cleavages mediated by miRNAs. Here we showed that the endonucleolytic cleavages on mRNAs were initiated by mammalian miRNA in seed pairing style. Let-7 directed cleavage activities among the eight predicted potential target sites have varied efficiency, which are influenced by the positional and the structural contexts in the UTR. The 5’ cleaved RNA fragments were mostly oligouridylated at their 3’-termini and accumulated for delayed 5’–3’ degradation. RNA fragment oligouridylation played important roles in marking RNA fragments for delayed bulk degradation and in converting RNA degradation mode from 3’–5’ to 5’–3’ with cooperative efforts from both endonucleolytic and non-catalytic miRNA-induced silencing complex (miRISC). Our findings point to a mammalian miRNA-mediated mechanism for the regulation of mRNA that miRNA can decrease target mRNA through target mRNA cleavage and uridine addition