910 resultados para Post-transcriptional gene regulation


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Petunia plants that exhibit a white-flowering phenotype as a consequence of chalcone synthase transgene-induced silencing occasionally give rise to revertant branches that produce flowers with wild-type pigmentation. Transcription run-on assays confirmed that the production of white flowers is caused by post-transcriptional gene silencing (PTGS), and indicated that transgene transcription is repressed in the revertant plants, providing evidence that induction of PTGS depends on the transcription rate. Transcriptional repression of the transgene was associated with cytosine methylation at CpG, CpNpG and CpNpN sites, and the expression was restored by treatment with either 5-azacytidine or trichostatin A. These results demonstrate that epigenetic changes occurred in the PTGS line, and these changes interfere with the initiation of transgene transcription, leading to a reversion of the PTGS phenotype.

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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.

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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.

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Mechanisms that allow pathogens to colonize the host are not the product of isolated genes, but instead emerge from the concerted operation of regulatory networks. Therefore, identifying components and the systemic behavior of networks is necessary to a better understanding of gene regulation and pathogenesis. To this end, I have developed systems biology approaches to study transcriptional and post-transcriptional gene regulation in bacteria, with an emphasis in the human pathogen Mycobacterium tuberculosis (Mtb). First, I developed a network response method to identify parts of the Mtb global transcriptional regulatory network utilized by the pathogen to counteract phagosomal stresses and survive within resting macrophages. As a result, the method unveiled transcriptional regulators and associated regulons utilized by Mtb to establish a successful infection of macrophages throughout the first 14 days of infection. Additionally, this network-based analysis identified the production of Fe-S proteins coupled to lipid metabolism through the alkane hydroxylase complex as a possible strategy employed by Mtb to survive in the host. Second, I developed a network inference method to infer the small non-coding RNA (sRNA) regulatory network in Mtb. The method identifies sRNA-mRNA interactions by integrating a priori knowledge of possible binding sites with structure-driven identification of binding sites. The reconstructed network was useful to predict functional roles for the multitude of sRNAs recently discovered in the pathogen, being that several sRNAs were postulated to be involved in virulence-related processes. Finally, I applied a combined experimental and computational approach to study post-transcriptional repression mediated by small non-coding RNAs in bacteria. Specifically, a probabilistic ranking methodology termed rank-conciliation was developed to infer sRNA-mRNA interactions based on multiple types of data. The method was shown to improve target prediction in Escherichia coli, and therefore is useful to prioritize candidate targets for experimental validation.

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Salmonella enterica is an important enteric pathogen and its various serovars are involved in causing both systemic and intestinal diseases in humans and domestic animals. The emergence of multidrug-resistant strains of Salmonella leading to increased morbidity and mortality has further complicated its management. Live attenuated vaccines have been proven superior over killed or subunit vaccines due to their ability to induce protective immunity. Of the various strategies used for the generation of live attenuated vaccine strains, focus has gradually shifted towards manipulation of virulence regulator genes. Hfq is a RNA chaperon which mediates the binding of small RNAs to the mRNA and assists in post-transcriptional gene regulation in bacteria. In this study, we evaluated the efficacy of the Salmonella Typhimurium Dhfq strain as a candidate for live oral vaccine in murine model of typhoid fever. Salmonella hfq deletion mutant is highly attenuated in cell culture and animal model implying a significant role of Hfq in bacterial virulence. Oral immunization with the Salmonella hfq deletion mutant efficiently protects mice against subsequent oral challenge with virulent strain of Salmonella Typhimurium. Moreover, protection was induced upon both multiple as well as single dose of immunizations. The vaccine strain appears to be safe for use in pregnant mice and the protection is mediated by the increase in the number of CD4(+) T lymphocytes upon vaccination. The levels of serum IgG and secretory-IgA in intestinal washes specific to lipopolysaccharide and outer membrane protein were significantly increased upon vaccination. Furthermore, hfq deletion mutant showed enhanced antigen presentation by dendritic cells compared to the wild type strain. Taken together, the studies in murine immunization model suggest that the Salmonella hfq deletion mutant can be a novel live oral vaccine candidate.

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Cell signaling by nitric oxide (NO) through soluble guanylyl cyclase (sGC) and cGMP production regulates physiological responses such as smooth muscle relaxation, neurotransmission, and cell growth and differentiation. Although the NO receptor, sGC, has been studied extensively at the protein level, information on regulation of the sGC genes remains elusive. In order to understand the molecular mechanisms involved at the level of gene expression, cDNA and genomic fragments of the murine sGCα1 subunit gene were obtained through library screenings. Using the acquired clones, the sGCα 1 gene structure was determined following primer extension, 3 ′RACE and intron/exon boundary analyses. The basal activity of several 5′-flanking regions (putative promoter regions) for both the α1 and β1 sGC subunits were determined following their transfection into mouse N1E-115 neuroblastoma and rat RENE1Δ14 uterine epithelial cells using a luciferase reporter plasmid. Using the sGC sequences, real-time RT-PCR assays were designed to measure mRNA levels of the sGC α1 and β1 genes in rat, mouse and human. Subsequent studies found that uterine sGC mRNA and protein levels decreased rapidly in response to 17β-estradiol (estrogen) in an in vivo rat model. As early as 1 hour following treatment, mRNA levels of both sGC mRNAs decreased, and reached their lowest level of expression after 3 hours. This in vivo response was completely blocked by the pure estrogen receptor antagonist, ICI 182,780, was not seen in several other tissues examined, did not occur in response to other steroid hormones, and was due to a post-transcriptional mechanism. Additional studies ex vivo and in various cell culture models suggested that the estrogen-mediated decreased sGC mRNA expression did not require signals from other tissues, but may require cell communication or paracrine factors between different cell types within the uterus. Using chemical inhibitors and molecular targeting in other related studies, it was revealed that c-Jun-N-terminal kinase (JNK) signaling was responsible for decreased sGC mRNA expression in rat PC12 and RFL-6 cells, two models previously determined to exhibit rapid decreased sGC mRNA expression in response to different stimuli. To further investigate the post-transcriptional gene regulation, the full length sGCα1 3′-untranslated region (3′UTR) was cloned from rat uterine tissue and ligated downstream of the rabbit β-globin gene and expressed as a chimeric mRNA in the rat PC12 and RFL-6 cell models. Expression studies with the chimeric mRNA showed that the sGCα 1 3′UTR was not sufficient to mediate the post-transcriptional regulation of its mRNA by JNK or cAMP signaling in PC12 and RFL-6 cells. This study has provided numerous valuable tools for future studies involving the molecular regulation of the sGC genes. Importantly, the present results identified a novel paradigm and a previously unknown signaling pathway for sGC mRNA regulation that could potentially be exploited to treat diseases such as uterine cancers, neuronal disorders, hypertension or various inflammatory conditions. ^

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mRNA localization is emerging as a critical cellular mechanism for the spatiotemporal regulation of protein expression and serves important roles in oogenesis, embryogenesis, cell fate specification, and synapse formation. Signal sequence-encoding mRNAs are localized to the endoplasmic reticulum (ER) membrane by either of two mechanisms, a canonical mechanism of translation on ER-bound ribosomes (signal recognition particle pathway), or a poorly understood direct ER anchoring mechanism. In this study, we identify that the ER integral membrane proteins function as RNA-binding proteins and play important roles in the direct mRNA anchoring to the ER. We report that one of the ER integral membrane RNA-binding protein, AEG-1 (astrocyte elevated gene-1), functions in the direct ER anchoring and translational regulation of mRNAs encoding endomembrane transmembrane proteins. HITS-CLIP and PAR-CLIP analyses of the AEG-1 mRNA interactome of human hepatocellular carcinoma cells revealed a high enrichment for mRNAs encoding endomembrane organelle proteins, most notably encoding transmembrane proteins. AEG-1 binding sites were highly enriched in the coding sequence and displayed a signature cluster enrichment downstream of encoded transmembrane domains. In overexpression and knockdown models, AEG-1 expression markedly regulates translational efficiency and protein functions of two of its bound transcripts, MDR1 and NPC1. This study reveals a molecular mechanism for the selective localization of mRNAs to the ER and identifies a novel post-transcriptional gene regulation function for AEG-1 in membrane protein expression.

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Dans la cellule, chaque ARNm se doit d’être régulé finement au niveau transcriptionnel, bien entendu, mais également au niveau de sa traduction, de sa dégradation ainsi que de sa localisation intracellulaire, et ce, afin de permettre l’expression de chaque produit protéique au moment et à l’endroit précis où son action est requise. Lorsqu’un mécanisme physiologique est mis de l’avant dans la cellule, il arrive souvent que plusieurs ARNm se doivent d’être régulés simultanément. L’un des moyens permettant d’orchestrer un tel processus est de réguler l’action d’une protéine commune associée à chacun de ces ARNm, via un mécanisme post-traductionnel par exemple. Ainsi l’expression d’un groupe précis d’ARNm peut être régulée finement dans le temps et dans l’espace selon les facteurs protéiques auxquels il est associé. Dans l’optique d’étudier certains de ces complexes ribonucléoprotéiques (mRNP), nous nous sommes intéressés aux isoformes et paralogues de Staufen, une protéine à domaine de liaison à l’ARN double-brin (dsRBD) impliquée dans de nombreux aspects de la régulation post-transcriptionnelle, tels la dégradation, la traduction ou encore la localisation d’ARNm. Chez la drosophile, un seul gène Staufen est exprimé alors que chez les mammifères, il existe deux paralogues de la protéine, soit Stau1 et Stau2, tous deux possédant divers isoformes produits suite à l’épissage alternatif de leur gène. Stau1 et Stau2 sont identiques à 50%. Les deux isoformes de Stau2, Stau259 et Stau262 ne diffèrent qu’en leur extrémité N-terminale. En effet, alors que Stau259 arbore un dsRBD1 tronqué, celui de Stau262 est complet. Ces observations introduisent une problématique très intéressante à laquelle nous nous sommes attaqué : ces différentes protéines, quoique très semblables, font-elles partie de complexes ribonucléoprotéiques distincts ayant des fonctions propres à chacun ou, au contraire, vu cette similarité de séquence, travaillent-elles de concert au sein des mêmes complexes ribonucléoprotéiques? Afin d’adresser cette question, nous avons entrepris d’isoler, à partir de cellules HEK293T, les différents complexes de Stau1 et Stau2 par la technique d’immunoprécipitation. Nous avons isolé les ARNm associés à chaque protéine, les avons identifiés grâce aux micropuces d’ADN et avons confirmé nos résultats par RT-PCR. Malgré la présence d’une population commune d’ARNm associée à Stau1 et Stau2, la majorité des transcrits identifiés furent spécifiques à chaque orthologue. Cependant, nous avons remarqué que les diverses populations d’ARNm participaient aux mêmes mécanismes de régulation, ce qui suggère que ces deux protéines possèdent des rôles complémentaires dans la mise en œuvre de divers phénomènes cellulaires. Au contraire, les transcrits associés à Stau259 et Stau262 sont davantage similaires, indiquant que celles-ci auraient des fonctions plutôt semblables. Ces résultats sont très intéressants, car pour la première fois, nous avons identifié des populations d’ARNm associées aux isoformes Stau155, Stau259 et Stau262. De plus, nous les avons analysées en parallèle afin d’en faire ressortir les populations spécifiques à chacune de ces protéines. Ensuite, connaissant l’importance de Stau2 dans le transport dendritique d’ARNm, nous avons cherché à caractériser les complexes ribonucléoprotéiques neuronaux associés à celle-ci. Dans un premier temps et à l’aide de la technique d’immunoprécipitation, nous avons identifié une population d’ARNm neuronaux associés à Stau2. Plus de 1700 ARNm montraient une présence d’au moins huit fois supérieure dans le précipité obtenu avec l’anticorps anti-Stau2 par rapport à celui obtenu avec le sérum pré-immun. Ces ARNm codent pour des protéines impliquées dans des processus de modifications post-traductionnelles, de traduction, de transport intracellulaire et de métabolisme de l’ARN. De façon intéressante, cette population d’ARNm isolée du cerveau de rat est relativement différente de celle caractérisée des cellules humaines HEK293T. Ceci suggère que la spécificité d’association Stau2-ARNm peut diffèrer d’un tissu à un autre. Dans un deuxième temps, nous avons isolé les protéines présentes dans les complexes ribonucléoprotéiques obtenus de cerveaux de rat et les avons identifiées par analyse en spectrométrie de masse. De cette façon, nous avons identifié au sein des particules de Stau2 des protéines liant l’ARN (PABPC1, hnRNPH1, YB1, hsc70), des protéines du cytosquelette (α- et β-tubuline), de même que la protéine peu caractérisée RUFY3. En poussant davantage la caractérisation, nous avons établi que YB1 et PABPC1 étaient associées à Stau2 grâce à la présence de l’ARN, alors que la protéine hsc70, au contraire, interagissait directement avec celle-ci. Enfin, cette dernière association semble être modulable par l’action de l’ATP. Ce résultat offre de nombreuses possibilités quant à la régulation de la fonction de Stau2 et/ou de son mRNP. Entre autres, cette étude suggère un mécanisme de régulation de la traduction au sein de ces particules. Pour faire suite à la caractérisation des mRNP de Stau, nous avons voulu déterminer au niveau neurophysiologique l’importance de ceux-ci. Comme l’étude de Stau2 avait déjà été entreprise préalablement par un autre laboratoire, nous avons décidé de concentrer notre étude sur le rôle de Stau1. Ainsi, nous avons démontré que celle-ci était nécessaire à la mise en place d’une forme de plasticité synaptique à long terme, la forme tardive de potentialisation à long terme ou L-LTP, dépendante de la transcription et de l’activité des récepteurs NMDA. La transmission de base, de même que la faculté de ces épines à faire de la E-LTP, la forme précoce de potentialisation à long terme, et la dépression à long terme ou LTD sont conservées. Ceci indique que les épines conservent la capacité d’être modulées. Ainsi, l’inhibition de la L-LTP, suite à la sous-expression de Stau1, n’est pas simplement due à la perte d’éléments fonctionnels, mais réside plutôt dans l’incapacité de ceux-ci à induire les changements synaptiques spécifiquement nécessaires à la mise en place de la L-LTP. De plus, au niveau synaptique, la sous-expression de Stau1 réduit à la fois l’amplitude et la fréquence des mEPSC. Ces résultats concordent avec l’observation que la sous-expression de Stau1 augmente significativement la proportion d’épines allongées et filopodales, des épines formant des synapses dites silencieuses. Par le fait même, elle diminue le nombre d’épines fonctionnelles, de forme dite normale. Ainsi, nous avons été en mesure de démontrer que l’absence, au niveau neuronal, de la protéine Stau1 induisait un déficit probable dans la localisation et/ou la traduction d’ARNm responsable de la restructuration de l’épine et de facteurs nécessaires à la mise en place de la L-LTP. En conclusion, nous avons participé à lever le voile sur la composition et l’importance des complexes ribonucléoprotéiques de Stau1 et Stau2. Nous avons identifié des populations distinctes et communes d’ARNm associées aux différents isoformes de Stau, à partir des mRNP présents au sein des cellules HEK293. De plus, nous avons réussi à mettre à l’avant plan certaines composantes des mRNP neuronaux de Stau2, dont un partenaire protéique direct, hsc70, partenaire dont l’association est modulable par l’action de l’ATP, ainsi qu’une population neuronale de transcrits d’ARNm. Enfin, nous avons mis en lumière l’importance de Stau1 dans la morphologie des épines dendritiques ainsi que dans le phénomène de la plasticité synaptique.

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In silico analyses of Leishmania spp. genome data are a powerful resource to improve the understanding of these pathogens' biology. Trypanosomatids such as Leishmania spp. have their protein-coding genes grouped in long polycistronic units of functionally unrelated genes. The control of gene expression happens by a variety of posttranscriptional mechanisms. The high degree of synteny among Leishmania species is accompanied by highly conserved coding sequences (CDS) and poorly conserved intercoding untranslated sequences. To identify the elements involved in the control of gene expression, we conducted an in silico investigation to find conserved intercoding sequences (CICS) in the genomes of L major, L infantum, and L braziliensis. We used a combination of computational tools, such as Linux-Shell, PERL and R languages, BLAST, MSPcrunch, SSAKE, and Pred-A-Term algorithms to construct a pipeline which was able to: (i) search for conservation in target-regions, (ii) eliminate CICS redundancy and mask repeat elements, (iii) predict the mRNA's extremities, (iv) analyze the distribution of orthologous genes within the generated LeishCICS-clusters, (v) assign GO terms to the LeishCICS-clusters. and (vi) provide statistical support for the gene-enrichment annotation. We associated the LeishCICS-cluster data, generated at the end of the pipeline, with the expression profile oft. donovani genes during promastigote-amastigote differentiation, as previously evaluated by others (GEO accession: GSE21936). A Pearson's correlation coefficient greater than 0.5 was observed for 730 LeishCICS-clusters containing from 2 to 17 genes. The designed computational pipeline is a useful tool and its application identified potential regulatory cis elements and putative regulons in Leishmania. (C) 2012 Elsevier B.V. All rights reserved.

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MicroRNAs (miRNA) are small non-coding RNAs involved in post-transcriptional gene regulation that have crucial roles in several types of tumors, including papillary thyroid carcinoma (PTC). miR-146b-5p is overexpressed in PTCs and is regarded as a relevant diagnostic marker for this type of cancer. A computational search revealed that miR-146b-5p putatively binds to the 3' untranslated region (UTR) of SMAD4, an important member of the transforming growth factor beta (TGF-beta) signaling pathway. The TGF-beta pathway is a negative regulator of thyroid follicular cell growth, and the mechanism by which thyroid cancer cells evade its inhibitory signal remains unclear. We questioned whether the modulation of the TGF-beta pathway by miR-146b-5p can contribute to thyroid tumorigenesis. Luciferase reporter assay confirmed the direct binding of miR-146b-5p on the SMAD4 3'UTR. Specific inhibition of miR-146b-5p with a locked nucleic acid-modified anti-miR-146b oligonucleotide significantly increased SMAD4 levels in the human papillary carcinoma cell lines, TPC-1 and BCPAP. Moreover, suppression of miR-146b-5p increased the cellular response to the TGF-beta anti-proliferative signal, significantly decreasing the proliferation rate. The overexpression of miR-146b-5p in normal rat follicular PCCL3 cells decreased SMAD4 levels and disrupted TGF-beta signal transduction. MiR-146b-5p overexpression in PCCL3 cells also significantly increased cell proliferation in the absence of thyroid-stimulating hormone and conferred resistance to TGF-beta-mediated cell-cycle arrest. Additionally, the activation of thyroid most common oncogenes RET/PTC3 and BRAF in PCCL3 cells upregulated miR-146b-5p expression. Our results confirm the oncogenic role of miR-146b-5p in thyroid follicular cells and contribute to knowledge regarding the modulation of TGF-beta signal transduction by miRNAs in PTCs. Oncogene (2012) 31, 1910-1922; doi:10.1038/onc.2011.381; published online 29 August 2011

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OBJECTIVES: To study the expression and the function of the 11beta-hydroxysteroid dehydrogenase enzyme 1 (11beta-HSD1) and 2 (11beta-HSD2) in placenta and the fetal membranes from pregnancies with intrauterine growth restriction (IUGR) and from controls. METHODS: Amnion, chorion, decidua and cotyledon were separated from placenta; mRNA was analyzed by TaqMan real-time technology and proteins by Western blot; enzyme activities were measured by the conversion of 3H-cortisol to 3H-cortisone and vice versa. RESULTS: Predominant mRNA expression (p < 0.001) was found for 11beta-HSD1 in chorion and for 11beta-HSD2 in decidua and cotyledon. In pregnancies with IUGR, 11beta-HSD1 was upregulated in chorion (mean DeltaCt 11beta-HSD:18S mRNA 193.5 vs. 103.0 in controls respectively, p < 0.05) and 11beta-HSD2 was downregulated in decidua (mean DeltaCt 11beta-HSD2:18S mRNA 0.18 vs. 15.88 in controls respectively, p < 0.05). 11beta-HSD1 protein levels were reduced in amnion and 11beta-HSD1 and 11beta-HSD2 oxidase activity in decidua and cotyledon were reduced from pregnancies with IUGR. CONCLUSION: Reduced synthesis or activity of 11beta-HSD1 or 2 in cases of IUGR is shown in some but not in all tissues. The local mRNA expression of 11beta-HSD1 in chorion may reflect a mechanism on the post-transcriptional gene regulation to stimulate the formation of cortisone in IUGR. To provoke increasing activity with oxidase stimulators could be a future therapy in cases of IUGR.

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Most newly synthesized messenger RNAs possess a 5’ cap and a 3’ poly(A) tail. The process of poly(A) tail shortening, also termed deadenylation, is important for post-transcriptional gene regulation, because deadenylation not only leads to mRNA translational inhibition but also is the first step of major mRNA degradation. Translationally inhibited mRNAs can be stored and/or degraded in dynamic cytoplasmic foci termed mRNA processing bodies, or P bodies, which are conserved in eukaryotes. To shed new light on the mechanisms of P body formation and P body functions, I focused on the link between deadenylation factors and P bodies. I found that the two major deadenylation complexes, Pan3-Pan2 and Ccr4-Caf1, can both be enriched in P bodies. The deadenylase activity of the Ccr4-Caf1 complex is prerequisite for P body formation. Pan3, but not the deadenylase Pan2, is essential for P body formation. While the C-terminal domain of Pan3 is important for interaction with Pan2, Pan3 N-terminal domain is important for Pan3 to form cytoplasmic foci colocalizing with P bodies and to promote mRNA decay. Interestingly, Pan3 N-terminal domain may be phosphorylated to regulate Pan3 localization and functions. Aside from the functions of the two deadenylation complexes in P bodies, I also studied all reported human P body proteins as a whole using bioinformatics. This effort not only has generated a comprehensive picture of the functions of and interactions among human P body proteins, but also has predicted proteins that may regulate P body formation and/or functions. In summary, my study has established a direct link between mRNA deadenylation and P body formation and has also led to new hypotheses to guide future research on how P body dynamics are controlled.

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A genome-wide siRNA screen against host factors that affect the infection of Semliki Forest virus (SFV), a positive-strand (+)RNA virus, revealed that components of the nonsense-mediated mRNA decay (NMD) pathway restrict early, post-entry steps of the infection cycle. In HeLa cells and primary human fibroblasts, knockdown of UPF1, SMG5 and SMG7 leads to increased levels of viral proteins and RNA and to higher titers of released virus. The inhibitory effect of NMD was stronger when the efficiency of virus replication was impaired by mutations or deletions in the replicase proteins. Accordingly, impairing NMD resulted in a more than 20-fold increased production of these attenuated viruses. Our data suggest that intrinsic features of genomic and sub-genomic viral mRNAs, most likely the extended 3'-UTR length, make them susceptible to NMD. The fact that SFV replication is entirely cytoplasmic strongly suggests that degradation of the viral RNA occurs through the exon junction complex (EJC)-independent mode of NMD. Collectively, our findings uncover a new biological function for NMD as an intrinsic barrier to the translation of early viral proteins and the amplification of (+)RNA viruses in animal cells. Thus, in addition to its role in mRNA surveillance and post-transcriptional gene regulation, NMD also contributes to protect cells from RNA viruses.

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We show for the first time that upon injection into the cytoplasm of the oocyte, fluorescein-labeled spliceosomal snRNAs, in the context of functional snRNPs, are targeted to elongating pre-mRNAs. This finding presents us with a novel assay with which to dissect the mechanism by which snRNPs are targeted to nascent pre-mRNA transcripts. Two critical advantages offered by this system are immediately evident. First, it allows us to investigate the mechanisms employed to recruit snRNPs as it actually transpires within the realm of the cell nucleus. Second, it allows a genome-wide analysis of snRNP recruitment to nascent transcripts, and, hence, the conclusions drawn from these studies do not depend on the sequence of any particular promoter or pre-mRNA. Indeed, it is with this assay that we have stumbled upon a most unanticipated discovery: Contrary to the current paradigm, the co-transcriptional recruitment of splicing snRNPs to nascent transcripts is not contingent on their role in splicing in vivo. Based on these and other data, we have constructed a two-step recruitment-loading model wherein snRNPs are first recruited to pre-mRNA transcripts and only then loaded directly onto cis-acting sequences on nascent pre-mRNA. While conducting studies on snRNP trafficking, a new discovery was made. We found that the lampbrush chromosomes could be visualized by light microscopy in vivo, and that these chromosomes have an architecture that is identical with those in formaldehyde treated nuclear spread preparations. Importantly, we now have the first system with which we can examine the dynamic interactions of macromolecules with specific RNA polymerase II transcriptional units in the live nucleus.