207 resultados para Ribosomal-rna Database
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InterPro, an integrated documentation resource of protein families, domains and functional sites, was created in 1999 as a means of amalgamating the major protein signature databases into one comprehensive resource. PROSITE, Pfam, PRINTS, ProDom, SMART and TIGRFAMs have been manually integrated and curated and are available in InterPro for text- and sequence-based searching. The results are provided in a single format that rationalises the results that would be obtained by searching the member databases individually. The latest release of InterPro contains 5629 entries describing 4280 families, 1239 domains, 95 repeats and 15 post-translational modifications. Currently, the combined signatures in InterPro cover more than 74% of all proteins in SWISS-PROT and TrEMBL, an increase of nearly 15% since the inception of InterPro. New features of the database include improved searching capabilities and enhanced graphical user interfaces for visualisation of the data. The database is available via a webserver (http://www.ebi.ac.uk/interpro) and anonymous FTP (ftp://ftp.ebi.ac.uk/pub/databases/interpro).
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The structure of the yeast DNA-dependent RNA polymerase I (RNA Pol I), prepared by cryo-negative staining, was studied by electron microscopy. A structural model of the enzyme at a resolution of 1.8 nm was determined from the analysis of isolated molecules and showed an excellent fit with the atomic structure of the RNA Pol II Delta4/7. The high signal-to-noise ratio (SNR) of the stained molecular images revealed a conformational flexibility within the image data set that could be recovered in three-dimensions after implementation of a novel strategy to sort the "open" and "closed" conformations in our heterogeneous data set. This conformational change mapped in the "wall/flap" domain of the second largest subunit (beta-like) and allows a better accessibility of the DNA-binding groove. This displacement of the wall/flap domain could play an important role in the transition between initiation and elongation state of the enzyme. Moreover, a protrusion was apparent in the cryo-negatively stained model, which was absent in the atomic structure and was not detected in previous 3D models of RNA Pol I. This structure could, however, be detected in unstained views of the enzyme obtained from frozen hydrated 2D crystals, indicating that this novel feature is not induced by the staining process. Unexpectedly, negatively charged molybdenum compounds were found to accumulate within the DNA-binding groove, which is best explained by the highly positive electrostatic potential of this region of the molecule, thus, suggesting that the stain distribution reflects the overall surface charge of the molecule.
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To produce agronomically competitive rice with nutritionally superior, environmentally safe phytic acid (PA) levels, hairpin RNA (hpRNA)- and artificial microRNA (amiRNA)-mediated gene silencing approaches were explored to reduce both myo-inositol kinase gene (OsMIK) expression and PA accumulation in rice seeds. hpRNA and amiRNA sequences targeted to OsMIK (hpMIK and amiMIK), under the control of a rice Ole18 promoter, were transformed into the rice cultivar Nippon-bare. Fourteen and 21 independent transgenic events were identified containing the hpMIK and amiMIK constructs, respectively, from which five stable homozygous transgenic lines of each were developed together with their null siblings. Southern blotting demonstrated transgene integration into the genome and quantitative real-time PCR showed that gene silencing was restricted to seeds. OsMIK transcripts were significantly reduced in both transgenic amiMIK and hpMIK seeds, which had PA levels reduced by 14.9-50.2 and 38.1-50.7 %, respectively, compared with their respective null siblings. There were no systematic significant differences in agronomic traits between the transgenic lines and their non-transgenic siblings, and no correlation between seed PA contents and decreased rates of seed germination and seedling emergence. The results of the present study suggest that Ole 18-driven OsMIK silencing via hpRNA and amiRNA could be an effective way to develop agronomically competitive low phytic acid rice.
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Background and aim: H epatitis E v irus (HEV) infection has emerged as a c ause o f travel-related a nd autochthonous a cute hepatitis as well as chronic hepatitis in immunosuppressed patients. While t ravel-related cases a re c aused primarily b y infections w ith HEV of g enotype 1 ( HEV-1), autochthonous c ases a nd chronic cases a re d ue t o genotype 3 (HEV-3), which is s hared between humans and diverse animal species. The aim of this study was to establish HEV RNA detection assays f or q uantitative v iral load testing and genotyping. Methods: V iral RNA was p urified from plasma or s erum a nd converted to cDNA prior to (1) multiplex real-time PCR for HEV RNA quantification and (2) multiplex PCR coupled to DNA sequencing for HEV genotype determination. Real-time PCR was d esigned to match a ll known HEV genotypes available i n Genbank while PCR was designed using conserved primers flanking a variable region of the HEV RNA. Results: In a validation panel, the newly developed assays allowed for the reliable detection and genotyping of HEV-1 or HEV-3. Cases of t ravel-related and a utochthonous a cute h epatitis E a s well a s chronic hepatitis E i n immunosuppressed patients have b een identified using t hese a ssays a nd will be p resented in detail. Anti- HEV antibodies were n egative i n three well-characterized patients with chronic hepatitis E after organ transplantation. Conclusions: We developed and validated a quantitative HEV RNA detection assay that c an now be o ffered on a r outine basis (www.chuv.ch/imul/imu-collaborations-viral_hepatitis). Genotyping can also be offered on selected cases. HEV RNA detection is key in diagnosing chronic hepatitis E i n immunosuppressed patients with unexplained transaminase elevations, as serology can be negative in these patients.
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BACKGROUND: In recent years, treatment options for human immunodeficiency virus type 1 (HIV-1) infection have changed from nonboosted protease inhibitors (PIs) to nonnucleoside reverse-transcriptase inhibitors (NNRTIs) and boosted PI-based antiretroviral drug regimens, but the impact on immunological recovery remains uncertain. METHODS: During January 1996 through December 2004 [corrected] all patients in the Swiss HIV Cohort were included if they received the first combination antiretroviral therapy (cART) and had known baseline CD4(+) T cell counts and HIV-1 RNA values (n = 3293). For follow-up, we used the Swiss HIV Cohort Study database update of May 2007 [corrected] The mean (+/-SD) duration of follow-up was 26.8 +/- 20.5 months. The follow-up time was limited to the duration of the first cART. CD4(+) T cell recovery was analyzed in 3 different treatment groups: nonboosted PI, NNRTI, or boosted PI. The end point was the absolute increase of CD4(+) T cell count in the 3 treatment groups after the initiation of cART. RESULTS: Two thousand five hundred ninety individuals (78.7%) initiated a nonboosted-PI regimen, 452 (13.7%) initiated an NNRTI regimen, and 251 (7.6%) initiated a boosted-PI regimen. Absolute CD4(+) T cell count increases at 48 months were as follows: in the nonboosted-PI group, from 210 to 520 cells/muL; in the NNRTI group, from 220 to 475 cells/muL; and in the boosted-PI group, from 168 to 511 cells/muL. In a multivariate analysis, the treatment group did not affect the response of CD4(+) T cells; however, increased age, pretreatment with nucleoside reverse-transcriptase inhibitors, serological tests positive for hepatitis C virus, Centers for Disease Control and Prevention stage C infection, lower baseline CD4(+) T cell count, and lower baseline HIV-1 RNA level were risk factors for smaller increases in CD4(+) T cell count. CONCLUSION: CD4(+) T cell recovery was similar in patients receiving nonboosted PI-, NNRTI-, and boosted PI-based cART.
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Background: The purpose of the work reported here is to test reliable molecular profiles using routinely processed formalin-fixed paraffin-embedded (FFPE) tissues from participants of the clinical trial BIG 1-98 with a median follow-up of 60 months. Methods: RNA from fresh frozen (FF) and FFPE tumor samples of 82 patients were used for quality control, and independent FFPE tissues of 342 postmenopausal participants of BIG 1-98 with ER-positive cancer were analyzed by measuring prospectively selected genes and computing scores representing the functions of the estrogen receptor (eight genes, ER_8), the progesterone receptor (five genes, PGR_5), Her2 (two genes, HER2_2), and proliferation (ten genes, PRO_10) by quantitative reverse transcription PCR (qRT-PCR) on TaqMan Low Density Arrays. Molecular scores were computed for each category and ER_8, PGR_5, HER2_2, and PRO_10 scores were combined into a RISK_25 score. Results: Pearson correlation coefficients between FF- and FFPE-derived scores were at least 0.94 and high concordance was observed between molecular scores and immunohistochemical data. The HER2_2, PGR_ 5, PRO_10 and RISK_25 scores were significant predictors of disease free-survival (DFS) in univariate Cox proportional hazard regression. PRO_10 and RISK_25 scores predicted DFS in patients with histological grade II breast cancer and in lymph node positive disease. The PRO_10 and PGR_ 5 scores were independent predictors of DFS in multivariate Cox regression models incorporating clinical risk indicators; PRO_10 outperformed Ki-67 labeling index in multivariate Cox proportional hazard analyses. Conclusions: Scores representing the endocrine responsiveness and proliferation status of breast cancers were developed from gene expression analyses based on RNA derived from FFPE tissues. The validation of the molecular scores with tumor samples of participants of the BIG 1-98 trial demonstrates that such scores can serve as independent prognostic factors to estimate disease free survival (DFS) in postmenopausal patients with estrogen receptor positive breast cancer.
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The Eukaryotic Promoter Database (EPD) is an annotated non-redundant collection of eukaryotic POL II promoters, experimentally defined by a transcription start site (TSS). There may be multiple promoter entries for a single gene. The underlying experimental evidence comes from journal articles and, starting from release 73, from 5' ESTs of full-length cDNA clones used for so-called in silico primer extension. Access to promoter sequences is provided by pointers to TSS positions in nucleotide sequence entries. The annotation part of an EPD entry includes a description of the type and source of the initiation site mapping data, links to other biological databases and bibliographic references. EPD is structured in a way that facilitates dynamic extraction of biologically meaningful promoter subsets for comparative sequence analysis. Web-based interfaces have been developed that enable the user to view EPD entries in different formats, to select and extract promoter sequences according to a variety of criteria and to navigate to related databases exploiting different cross-references. Tools for analysing sequence motifs around TSSs defined in EPD are provided by the signal search analysis server. EPD can be accessed at http://www.epd. isb-sib.ch.
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L'ARN Polymérase III (Pol III) transcrit un ensemble de petits ARN non traduits impliqués dans des processus cellulaires tels que la biosynthèse des protéines, la maturation des ARNs ou le contrôle transcriptionnel. De ce fait, la Pol III joue un rôle important dans la régulation de la croissance et la prolifération cellulaire. L'initiation de la transcription par la Pol III nécessite l'interaction entre des facteurs de transcription et le complexe de la Pol III lui-même. Un sous- complexe de la Pol III, composé de 3 sous-unités, HsRPC3, HsRPC6 et HsRPC7 sert d'intermédiaire dans cette interaction. Dans cette étude, nous avons caractérisé une nouvelle sous-unité de la Pol III, HsRPC7-Like, homologue à HsRPC7. Nous avons montré que ces deux homologues se trouvent spécifiquement chez les vertébrés. Ils proviennent d'un ancêtre commun qui, après duplication il y a 600 millions d'années, a donné naissance à ces deux paralogues. Dans les cellules humaines, deux formes de Pol III coexistent : l'une contientt HsRPC7, l'autre HsRPC7-Like. Nous avons localisé, à l'échelle du génome entier, la présence de ces deux formes de Pol III dans des cellules humaines et dans le foie de souris. Les deux sous-unités ont démontré des caractéristiques identiques, suggérant qu'elles possèdent des fonctions similaires. Cependant, nous avons analysé les motifs d'expression des gènes codant pour RPC7 et RPC7-Like dans des lignées cellulaires dans des conditions variées telles que la concentration de sérum et la densité cellulaire, ainsi que les motifs d'expression dans le foie de souris et des cellules d'hépatocarcinome de souris. Nos résultats suggèrent que l'expression de ces deux sous-untiés varie en fonction de l'activité de prolifération de la cellule. - RNA polymerase III (Pol III) transcribes a set of genes coding for short untranslated RNAs involved in essential cellular processes as for example protein biosynthesis, RNA maturation, and transcriptional control. Thereby Pol III plays an important role in regulating cell growth and proliferation. Initiation of Pol III transcription requires interactions between transcription factors and the Pol III core complex. A Pol III sub-complex composed of three subunits, HsRPC3, HsRPC6, and HsRPC7 mediates this interaction. In this study, we have characterized a new Pol III subunit, HsRPC7-Like, an homologue of HsRPC7. We have shown that these two homologues are specific to vertebrates and originate from an ancestor gene that duplicated 600 mio years ago to give birth to two paralogues. In human cells, two forms of Pol III coexist, one containing HsRPC7 and the other HsRPC7-Like. We have localized, genome-wide, these two Pol III forms in human cells and mouse liver. Both subunits were found on all types of Pol III genes, suggesting that they share similar function. However, we analysed the expression patterns of the RPC7 and RPC7-Like coding genes under various conditions of serum concentration and cell density in different cell lines, as well as expression patterns in mouse liver and mouse hepatocarcinoma cells. Our results suggest that the expression of these two subunits varies with the proliferation rate of the cell.
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Introduction: CD22 is expressed on most B-non-Hodgkin lymphomas (NHL); inotuzumab ozogamicin (INO) is an anti-CD22 antibody conjugated to calicheamicin. This study evaluated the safety and tolerability of INO plus R-CVP in patients (pts) with relapsed/refractory CD22+ B-NHL. Efficacy data were also collected. Methods: Part 1 of this open-label study identified a maximum tolerated dose (MTD) of INO 0.8mg/m,2 on day 2 plus R-CVP (rituximab 375mg/m,2 cyclophosphamide 750mg/m,2 and vincristine 1.4mg/m,2 on day 1; prednisone 40mg/m,2 on days 1-5) every 21 days. Subsequently, pts were enrolled in the MTD confirmation cohort (part 2, n = 10), which required a dose-limiting toxicity rate of <33% in cycle 1 and <4 pts discontinuing prior to cycle 3 due to an adverse event (AE) in the MTD expansion cohort (part 3, n = 22), which explored preliminary activity. Results: Parts 2 and 3 enrolled 32 pts: 16 pts with diffuse large B-cell lymphoma, 15 with follicular lymphoma and one with mantle cell lymphoma. Median age was 64.5 years (range 44-81 years); 34% of pts had 1 prior regimen, 34% had 2, 28% had ≥3 and 3% had none (median 2; range 0-6).Median treatment duration was five cycles (range 1-6). Part 2 confirmed the MTD as standard dose R-CVP plus INO 0.8mg/m,2; 2/10 pts had a dose-limiting toxicity (grade 3 increased ALT/AST, grade 4 neutropenia requiring G-CSF). One pt discontinued because of an AE prior to cycle 3. Common treatment-related AEs were thrombocytopenia (78%), neutropenia (66%), fatigue (50%), leukopenia (50%), nausea (41%) and lymphopenia (38%); common grade 3/4 AEs were neutropenia (63%), thrombocytopenia (53%), leukopenia (38%) and lymphopenia (31%). There was one case of treatment-related fatal pneumonia with grade 4 neutropenia. Ten pts discontinued treatment due to AEs; thrombocytopenia/delayed platelet recovery was the leading cause (grade 1/2, n = 6; grade 3/4, n = 3). Objective response rate (ORR) was 77% (n = 24/31 evaluable pts), including 26% (n=8/31) with complete response (CR); three pts had stable disease. Of the pts with follicular lymphoma, ORR was 100% (n = 15/15), including seven pts with CR. Of the pts with diffuse large B-cell lymphoma, ORR was 60% (n = 9/16), including one pt with CR. Conclusions: Results suggest that INOplus R-CVP has acceptable toxicity and promising activity in relapsed/refractory CD22+ B-NHL. The most common grade 3/4 AEs were hematologic. Follow-up for progression-free and overall survival is ongoing.
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cis-natural antisense transcripts (cis-NATs) are widespread in plants and are often associated with downregulation of their associated sense genes. We found that a cis-NAT positively regulates the level of a protein critical for phosphate homeostasis in rice (Oryza sativa). PHOSPHATE1;2 (PHO1;2), a gene involved in phosphate loading into the xylem in rice, and its associated cis-NATPHO1;2 are both controlled by promoters active in the vascular cylinder of roots and leaves. While the PHO1;2 promoter is unresponsive to the plant phosphate status, the cis-NATPHO1;2 promoter is strongly upregulated under phosphate deficiency. Expression of both cis-NATPHO1;2 and the PHO1;2 protein increased in phosphate-deficient plants, while the PHO1;2 mRNA level remained stable. Downregulation of cis-NATPHO1;2 expression by RNA interference resulted in a decrease in PHO1;2 protein, impaired the transfer of phosphate from root to shoot, and decreased seed yield. Constitutive overexpression of NATPHO1;2 in trans led to a strong increase of PHO1;2, even under phosphate-sufficient conditions. Under all conditions, no changes occurred in the level of expression, sequence, or nuclear export of PHO1;2 mRNA. However, expression of cis-NATPHO1;2 was associated with a shift of both PHO1;2 and cis-NATPHO1;2 toward the polysomes. These findings reveal an unexpected role for cis-NATPHO1;2 in promoting PHO1;2 translation and affecting phosphate homeostasis and plant fitness.
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The discovery of a targeted therapeutic compound along with its companion predictive biomarker is a major goal of clinical development for a personalized anticancer therapy to date. Here we present evidence of the predictive value of TLR3 expression by tumor cells for the efficacy of Poly (A:U) dsRNA in 194 breast cancer patients enrolled in a randomized clinical trial. Adjuvant treatment with double-stranded RNA (dsRNA) was associated with a significant decrease in the risk of metastatic relapse in TLR3 positive but not in TLR3-negative breast cancers. Moreover, we show the functional relevance of TLR3 expression by human tumor cells for the antitumor effects mediated by dsRNA in several preclinical mouse models carried out in immunocompromised animals. These 2 independent lines of evidence relied upon the generation of a novel tool, an anti-TLR3 antibody (40F9.6) validated for routine detection of TLR3 expression on paraffin-embedded tissues. Altogether, these data suggest that dsRNA mediates its therapeutic effect through TLR3 expressed on tumor cells, and could therefore represent an effective targeted treatment in patients with TLR3-positive cancers.
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Peripheral T-cell lymphoma (PTCL) is a rare, heterogeneous type of non-Hodgkin lymphoma (NHL) that, in general, is associated with a poor clinical outcome. Therefore, a current major challenge is the discovery of new prognostic tools for this disease. In the present study, a cohort of 122 patients with PTCL was collected from a multicentric T-cell lymphoma consortium (TENOMIC). We analyzed the expression of 80 small nucleolar RNAs (snoRNAs) using high-throughput quantitative PCR. We demonstrate that snoRNA expression analysis may be useful in both the diagnosis of some subtypes of PTCL and the prognostication of both PTCL-not otherwise specified (PTCL-NOS; n = 26) and angio-immunoblastic T-cell lymphoma (AITL; n = 46) patients treated with chemotherapy. Like miRNAs, snoRNAs are globally down-regulated in tumor cells compared with their normal counterparts. In the present study, the snoRNA signature was robust enough to differentiate anaplastic large cell lymphoma (n = 32) from other PTCLs. For PTCL-NOS and AITL, we obtained 2 distinct prognostic signatures with a reduced set of 3 genes. Of particular interest was the prognostic value of HBII-239 snoRNA, which was significantly over-expressed in cases of AITL and PTCL-NOS that had favorable outcomes. Our results suggest that snoRNA expression profiles may have a diagnostic and prognostic significance for PTCL, offering new tools for patient care and follow-up.
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Background The 'database search problem', that is, the strengthening of a case - in terms of probative value - against an individual who is found as a result of a database search, has been approached during the last two decades with substantial mathematical analyses, accompanied by lively debate and centrally opposing conclusions. This represents a challenging obstacle in teaching but also hinders a balanced and coherent discussion of the topic within the wider scientific and legal community. This paper revisits and tracks the associated mathematical analyses in terms of Bayesian networks. Their derivation and discussion for capturing probabilistic arguments that explain the database search problem are outlined in detail. The resulting Bayesian networks offer a distinct view on the main debated issues, along with further clarity. Methods As a general framework for representing and analyzing formal arguments in probabilistic reasoning about uncertain target propositions (that is, whether or not a given individual is the source of a crime stain), this paper relies on graphical probability models, in particular, Bayesian networks. This graphical probability modeling approach is used to capture, within a single model, a series of key variables, such as the number of individuals in a database, the size of the population of potential crime stain sources, and the rarity of the corresponding analytical characteristics in a relevant population. Results This paper demonstrates the feasibility of deriving Bayesian network structures for analyzing, representing, and tracking the database search problem. The output of the proposed models can be shown to agree with existing but exclusively formulaic approaches. Conclusions The proposed Bayesian networks allow one to capture and analyze the currently most well-supported but reputedly counter-intuitive and difficult solution to the database search problem in a way that goes beyond the traditional, purely formulaic expressions. The method's graphical environment, along with its computational and probabilistic architectures, represents a rich package that offers analysts and discussants with additional modes of interaction, concise representation, and coherent communication.