12 research outputs found

    Novel frameshift mutations near short simple repeats.

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    Contains fulltext : 187664.pdf (publisher's version ) (Open Access)In patients with Alzheimer's disease or Down's syndrome, the cerebellar cortex exhibits protein deposits in neurofibrillary tangles and neuritic plaques. Recently, the deposits have been shown to contain protein fragments of ubiquitin-B and amyloid precursor protein (APP) with an aberrant carboxyl terminus resulting from frameshift mutations (dinucleotide deletions; DeltaGU or DeltaGA) in or adjacent to GAGAG motifs in their mRNAs, a process referred to as molecular misreading. We have now used a bacterial expression system with the green fluorescent protein as a reporter to screen gene transcripts from aged controls, Alzheimer's disease, and Down's syndrome for molecular misreading. Novel frameshift mutations at a number of locations in the transcripts of the ubiquitin-B and APP genes were discovered (DeltaGA, DeltaG, DeltaGU, DeltaGG, DeltaCA, DeltaAU, DeltaA, DeltaAA, DeltaC, DeltaU, and insertion of an A). Interestingly, most mutations were in close proximity of short simple repeats (GAGAG, GGUGGU, GAGACACACA, UCAUCAUCA, CAAACAAA, and GAAGAAGAA), demonstrating that the GAGAG motif does not constitute the only hot spot for transcriptional errors. Unlike the previously detected aberrant APP fragments, some of the novel ones have the potential to generate the neurotoxic peptide beta-amyloid. We conclude that during aging molecular misreading is a widespread phenomenon

    Isolation and characterization of the Xenopus laevis orthologs of the human papillary renal cell carcinoma-associated genes PRCC and MAD2L2 (MAD2B).

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    Recently we found that the human papillary renal cell carcinoma-associated protein PRCC interacts with the cell cycle control protein Mad2B, and translocates this protein to the nucleus where it exerts its mitotic checkpoint function. Here we have successfully isolated Xenopus laevis Mad2B and PRCC cDNAs. The full-length xMad2B cDNA encodes a 211 amino acid protein that is highly homologous to human Mad2B, thus pointing to an important function for this protein in higher eukaryotes. The full-length xPRCC cDNA encodes a 544 amino acid protein. Remarkably, this protein contains an amino-terminal region distinct from that in mouse and human, whereas the C-terminal region is highly conserved. Northern blot and RT-PCR analyses revealed a relatively low expression of both xMad2B and xPRCC in most tissues examined. However, an abundant expression was observed in testis and oocyte, indicating a role in meiotic division processes. Coimmunoprecipitation and immunofluorescence analyses revealed that, despite its distinct amino terminus, the xPRCC-protein is still capable of interacting with xMad2B and of shuttling this protein to the nucleus. Therefore, the well-established animal model Xenopus laevis can be used as a powerful system to study in detail the role of xPRCC and xMad2B in the intricate processes of cell cycle control

    Prospective observational study in two Dutch hospitals to assess the performance of inflammatory plasma markers to determine disease severity of viral respiratory tract infections in children

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    Contains fulltext : 177243.pdf (publisher's version ) (Open Access)INTRODUCTION: Respiratory viruses causing lower respiratory tract infections (LRTIs) are a major cause of hospital admissions in children. Since the course of these infections is unpredictable with potential fast deterioration into respiratory failure, infants are easily admitted to the hospital for observation. The aim of this study was to examine whether systemic inflammatory markers can be used to predict severity of disease in children with respiratory viral infections. METHODS: Blood and nasopharyngeal washings from children <3 years of age with viral LRTI attending a hospital were collected within 24 hours (acute) and after 4-6 weeks (recovery). Patients were assigned to a mild (observation only), moderate (supplemental oxygen and/or nasogastric feeding) or severe (mechanical ventilation) group. Linear regression analysis was used to design a prediction rule using plasma levels of C reactive protein (CRP), serum amyloid A (SAA), pentraxin 3 (PTX3), serum amyloid P component and properdin. This rule was tested in a validation cohort. RESULTS: One hundred and four children (52% male) were included. A combination of CRP, SAA, PTX3 and properdin was a better indicator of severe disease compared with any of the individual makers and age (69% sensitivity (95% CI 50 to 83), 90% specificity (95% CI 80 to 96)). Validation in 141 patients resulted in 71% sensitivity (95% CI 53 to 85), 87% specificity (95% CI 79 to 92), negative predictive value of 64% (95% CI 47 to 78) and positive predictive value of 90% (95% CI 82 to 95). The prediction rule was not able to identify patients with a mild course of disease. CONCLUSION: A combination of CRP, SAA, PTX3 and properdin was able to identify children with a severe course of viral LRTI disease, even in children under 2 months of age. To assess the true impact on clinical management, these results should be validated in a prospective randomised control study

    Understanding familial and non-familial renal cell cancer.

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    Item does not contain fulltextMolecular genetic analysis of familial and non-familial cases of conventional renal cell carcinoma (RCC) revealed a critical role(s) for multiple genes on human chromosome 3. For some of these genes, e.g. VHL, such a role has been firmly established, whereas for others, definite confirmation is still pending. Additionally, a novel role for constitutional chromosome 3 translocations as risk factors for conventional RCC development is rapidly emerging. Also, several candidate loci have been mapped to other chromosomes in both familial and non-familial RCCs of distinct histologic subtypes. The MET gene on chromosome 7, for example, was found to be involved in both forms of papillary RCC. A PRCC-TFE3 fusion gene is typically encountered in t(X;1)-positive non-familial papillary RCCs and results in abrogation of the cell cycle mitotic spindle checkpoint in a dominant-negative fashion, thus leading to RCC. Together, these data turn human RCC into a model system in which different aspects of both familial and non-familial syndromes may act as novel paradigms for cancer development

    The renal cell carcinoma-associated oncogenic fusion protein PRCCTFE3 provokes p21 WAF1/CIP1-mediated cell cycle delay.

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    Contains fulltext : 81205.pdf (publisher's version ) (Closed access)Previously, we found that in t(X;1)(p11;q21)-positive renal cell carcinomas the bHLH-LZ transcription factor TFE3 is fused to a novel protein designated PRCC. In addition, we found that the PRCCTFE3 fusion protein, which has retained all known functional domains of TFE3, acts as a more potent transcriptional activator than wild type TFE3. We also found that PRCCTFE3 expression confers in vitro and in vivo transformation onto various cell types, including those of the kidney. Here we show that de novo expression of the PRCCTFE3 fusion protein provokes cell cycle delay. This delay, which is mediated by induction of the cyclin-dependent kinase inhibitor p21((WAF1/CIP1)), affects both the G1/S and the G2/M phases of the cell cycle and prevents the cells from undergoing polyploidization. We also show that the PRCCTFE3 fusion protein binds directly to the p21((WAF1/CIP1)) promoter and that the PRCCTFE3-induced up-regulation of p21((WAF1/CIP1)) leads to activation of the pRB pathway. Finally, we show that in t(X;1)(p11;q21)-positive renal tumor cells several processes that link PRCCTFE3 expression to p21((WAF1/CIP1))-mediated cell cycle delay are abrogated. Our data suggest a scenario in which, during the course of renal cell carcinoma development, an initial PRCCTFE3-induced cell cycle delay must be numbed, thus permitting continued proliferation and progression towards full-blown malignancy

    Calibration of fundamental diagrams for travel time predictions based on the cell transmission model

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    Road traffic increases constantly and the negative consequences in the form of traffic jams can be realized especially in urban areas. In order to provide real time traffic information to road users and traffic managers, accurate computer models gain relevance. A software called Mobile Millennium Stockholm (MMS) was developed to estimate and predict travel times and has been implemented on a 7km test stretch in the north of Stockholm. The core of the software is the cell transmission model (CTM) which is a macroscopic traffic flow model based on aggregated speed observations. This thesis focuses on different calibration techniques of the so called fundamental diagram as an important input factor to the CTM. The diagrams illustrate the mathematical function which defines the relation between traffic flow, density and speed. The calibration is performed in different scenarios based on the least square (LS) and total least square (TLS) error minimization. Furthermore, sources, representing the traffic demand, and sinks, representing the surrounding of the modeled network, are implemented as dynamic parameters to model the change in traffic behavior throughout the day. Split ratios, as a representation of the drivers\u91 route choice in the CTM are estimated and implemented as well. For the framework of this work, the MMS software is run in a pure prediction mode. The CTM is based on the source, sink, split and fundamental diagram parameters only and run forward in time. For each fundamental diagram calibration scenario an independent model run is performed. The evaluation of the scenarios is based on the output of the model. The results are compared to existing Bluetooth travel time measurements for the test stretch, which are used as ground truth observations, and a mean average percentage error (MAPE) is calculated. This leads to a most reasonable technique for the fundamental diagram calibration \u96 the total least square error minimization
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