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Purpose: The transcription factor Forkhead box M1 (FoxM1) is a key regulator of cell-cycle progression. It is involved in the development of multiple organs, and we have previously reported on its important role for the mitotic entry of cerebellar granule neuron precursors. Constitutive expression of FoxM1 is required for the growth of multiple cancer types. This study aimed to determine its role in medulloblastoma, the most frequent malignant brain tumor in childhood that can derive from cerebellar granule neuron precursors.Experimental Design: We evaluated the expression of FoxM1 together with its prognostic value in two independent series of human medulloblastoma samples using immunohistochemistry (n = 43) and gene expression arrays (n = 193). The functional impact of FoxM1 expression was characterized by knockdown experiments in four human medulloblastoma cell lines, and the thiazole antibiotic siomycin A was tested to downregulate FoxM1 and inhibit tumor cell growth.Results: FoxM1 was highly expressed in all subtypes of medulloblastoma. Importantly, expression levels of FoxM1 significantly correlated with unfavorable clinical outcome in univariate analysis (P = 0.0005), and FoxM1 was identified as an independent prognostic marker by multivariate analysis (P = 0.037). Knockdown of FoxM1 in medulloblastoma cell lines resulted in a significant decrease of cell viability which was caused by a failure in mitotic spindle formation and caspase-dependent mitotic catastrophe. Siomycin A significantly inhibited the expression of FoxM1 and the growth of medulloblastoma cells.Conclusions: FoxM1 may be used as an additional prognostic marker and may represent a potential novel target to treat patients suffering from medulloblastoma. Clin Cancer Res; 17(21); 6791–801. ©2011 AACR.

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Supplementary Material - PDF file 829K, Suppl. Figure 1: Complete early knockout of Sox2 in neural precursors does not affect overall cerebellar development. Suppl. Figure 2: Loss of Sox2 does not affect the immunophenotype of murine Shh-associated medulloblastoma. Suppl. Figure 3: Expression of SOX3 in human medulloblastomas. Suppl. Figure 4: Transduced cells are of neuronal origin. Suppl. Figure 5: Sox2-positive cells express neuronal markers after Shh acitvation

This paper presents the ASHRAE transport properties model for moist air as a "real-gas mixture" employing a modification of the mixing model of Vesovic and Wakeham. It uses the latest research from...

The numerical simulation of thermalhydraulic processes in nuclear power plants requires very accurate and extremely fast algorithms for calculating the thermophysical properties of water and steam. In order to provide such algorithms, the International Association for the Properties of Water and Steam (IAPWS) has adopted the new “IAPWS Guideline on the Fast Calculation of Steam and Water Properties with the Spline-Based Table Look-Up Method (SBTL)”. In this article, the SBTL method is applied to property functions of specific volume and specific internal energy (v,e) based on the scientific formulation IAPWS-95 and the latest IAPWS formulations for transport properties. From the newly generated SBTL functions, thermodynamic and transport properties as well as their derivatives and inverse functions are calculable in the fluid range of state for pressures up to 100 MPa and for temperatures up to 1273 K, including the metastable liquid and the metastable vapor regions. The SBTL functions reproduce the underlying formulations with an accuracy of 10–100 ppm and significantly reduced computing times. The SBTL method has been implemented into the nuclear reactor system safety analysis code RELAP-7 [2] to consider the real fluid behavior of water and steam in a novel 7-equation two-phase flow model.

Microsatellite repeat expansion disease loci can exhibit pleiotropic clinical and biological effects depending on repeat length. Large expansions in C9orf72 (100s-1000s of units) are the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal degeneration (FTD). However, whether intermediate expansions also contribute to neurodegenerative disease is not well understood. Several studies have identified intermediate repeats in Parkinson's disease patients, but the association was not found in autopsy-confirmed cases. We hypothesized that intermediate C9orf72 repeats are a genetic risk factor for corticobasal degeneration (CBD), a neurodegenerative disease that can be clinically similar to Parkinson's but has distinct tau protein pathology. Indeed, intermediate C9orf72 repeats were significantly enriched in autopsy-proven CBD (n = 354 cases, odds ratio = 3.59, p = 0.00024). While large C9orf72 repeat expansions are known to decrease C9orf72 expression, intermediate C9orf72 repeats result in increased C9orf72 expression in human brain tissue and CRISPR/cas9 knockin iPSC-derived neural progenitor cells. In contrast to cases of FTD/ALS with large C9orf72 expansions, CBD with intermediate C9orf72 repeats was not associated with pathologic RNA foci or dipeptide repeat protein aggregates. Knock-in cells with intermediate repeats exhibit numerous changes in gene expression pathways relating to vesicle trafficking and autophagy. Additionally, overexpression of C9orf72 without the repeat expansion leads to defects in autophagy under nutrient starvation conditions. These results raise the possibility that therapeutic strategies to reduce C9orf72 expression may be beneficial for the treatment of CBD.

This Chapter contains the following Tables: Table 1 Saturation state (Temperature table): Thermodynamic and transport properties Table 2 Saturation state (Pressure table): Thermodynamic properties Table 3 Single-phase region: Thermodynamic and transport properties Table 4 High-temperature region: Thermodynamic properties Table 5 Ideal-gas state: Thermodynamic properties Table 6 Saturation state: Compression factor, Specific isochoric heat capacity, Isobaric cubic expansion coefficient, Isothermal compressibility Table 7 Compression factor Table 8 Specific isochoric heat capacity Table 9 Isobaric cubic expansion coefficient Table 10 Isothermal compressibility Table 11 Saturation state: Kinematic viscosity, Prandtl number, Thermal diffusivity, Dielectric constant Table 12 Kinematic viscosity Table 13 Prandtl number Table 14 Thermal diffusivity Table 15 Dielectric constant Table 16 Refractive index (Saturation state) Table 17 Refractive index Table 18 Saturation state: Relative pressure coefficient, Isothermal stress coefficient, Fugacity Table 19 Relative pressure coefficient Table 20 Isothermal stress coefficient Table 21 Fugacity Table 22 Saturation state: Joule-Thomson coefficient, Isothermal throttling coefficient, Surface tension Table 23 Joule-Thomson coefficient Table 24 Isothermal throttling coefficient

The learning system Thermopr@ctice represents an internet-based learning environment for calculating exercises using the computer algebra system Mathcad. This new working method for the learner consists of replacing the conventional paper worksheet with the Mathcad working screen. The exercises-here for those learning Technical Thermodynamics-are provided to the learner via the internet in individual variations and with individual numerical values in the Mathcad format. The exercises are solved during supervised seminars or on the computer at home. The teaching materials which are necessary for the solution are provided in Mathcad format. After calculating each subtask, the learner sends the solution to Thermopr@ctice. If an error occurs, the system will request interim results. The learning system takes the students closer to modern working methods in the workplace by using a computer algebra system and subject-related property libraries. Since the system has been designed for the purpose of self-study, it is particularly suitable for further education and distance learning. It can be applied to other subjects in which the acquisition or consolidation of knowledge takes place by calculating exercises. Thermopr@ctice was developed within the scope of the joint research project “Saxon Education Portal” from the Saxon Ministry of Science and Art and since then it has been continuously improved and enhanced.

Functional genomics applied to the study of RNA expression profiles identified several abnormal molecular processes in experimental prion disease. However, only a few similar studies have been carried out to date in a naturally occurring human prion disease. To better characterize the transcriptional cascades associated with sporadic Creutzfeldt-Jakob disease (sCJD), the most common human prion disease, we investigated the global gene expression profile in samples from the frontal cortex of 10 patients with sCJD and 10 non-neurological controls by microarray analysis. The comparison identified 333 highly differentially expressed genes (hDEGs) in sCJD. Functional enrichment Gene Ontology analysis revealed that hDEGs were mainly associated with synaptic transmission, including GABA (q value = 0.049) and glutamate (q value = 0.005) signaling, and the immune/inflammatory response. Furthermore, the analysis of cellular components performed on hDEGs showed a compromised regulation of vesicle-mediated transport with mainly up-regulated genes related to the endosome (q value = 0.01), lysosome (q value = 0.04), and extracellular exosome (q value < 0.01). A targeted analysis of the retromer core component VPS35 (vacuolar protein sorting-associated protein 35) showed a down-regulation of gene expression (p value= 0.006) and reduced brain protein levels (p value= 0.002). Taken together, these results confirm and expand previous microarray expression profile data in sCJD. Most significantly, they also demonstrate the involvement of the endosomal-lysosomal system. Since the latter is a common pathogenic pathway linking together diseases, such as Alzheimer’s and Parkinson’s, it might be the focus of future studies aimed to identify new therapeutic targets in neurodegenerative diseases.

Very accurate thermodynamic potential functions are available for fluid water, ice, seawater and humid air covering wide ranges of temperature and pressure conditions. They permit the consistent computation of all equilibrium properties as, for example, required for coupled atmosphere-ocean models or the analysis of observational or experimental data. With the exception of humid air, these potential functions are already formulated as international standards released by the International Association for the Properties of Water and Steam (IAPWS), and have been adopted in 2009 for oceanography by IOC/UNESCO. In this paper, we derive a collection of formulas for important quantities expressed in terms of the thermodynamic potentials, valid for typical phase transitions and composite systems of humid air and water/ice/seawater. Particular attention is given to equilibria between seawater and humid air, referred to as "sea air" here. In a related initiative, these formulas will soon be implemented in a source-code library for easy practical use. The library is primarily aimed at oceanographic applications but will be relevant to air-sea interaction and meteorology as well. The formulas provided are valid for any consistent set of suitable thermodynamic potential functions. Here we adopt potential functions from previous publications in which they are constructed from theoretical laws and empirical data; they are briefly summarized in the appendix. The formulas make use of the full accuracy of these thermodynamic potentials, without additional approximations or empirical coefficients. They are expressed in the temperature scale ITS-90 and the 2008 Reference-Composition Salinity Scale.

Numerous signal pathways are epigenetically controlled during brain development and ageing. Thereby, both 5-methylcytosine (5mC) and the newly described 5-hydroxymethylcytosine (5hmC) are highly exhibited in the brain. As there is an uneven distribution of 5hmC in the brain depending on age and region, there is the need to investigate the underlying mechanisms being responsible for 5hmC generation and decline. The aim of this study was to quantify expression levels of genes that are associated with DNA methylation/demethylation in different brain regions and at different ages. Therefore, we investigated frontal cortex and cerebellum of 40 mice (strain C57BL/6), each eight mice sacrificed at day 0, 7, 15, 30 and 120 after birth. We performed expression profiling of methylation/demethylation genes depending on age and brain region. Interestingly, we see significant expression differences of genes being responsible for methylation/demethylation with a significant reduction of expression levels during ageing. Validating selected expression data on protein level using immunohistochemistry verified the expression data. In conclusion, our findings demonstrate that the regulation of methylation/demethylation pathways is highly controlled depending on brain region and age. Thus our data will help to better understand the complexity and plasticity of the brain epigenome.

Pathological tau aggregation leads to filamentous tau inclusions and characterizes neurodegenerative tauopathies such as Alzheimer’s disease and frontotemporal dementia and parkinsonism linked to chromosome 17. Tau aggregation coincides with clinical symptoms and is thought to mediate neurodegeneration. Transgenic mice overexpressing mutant human P301S tau exhibit many neuropathological features of human tauopathies including behavioral deficits and increased mortality. Here, we show that the di-phenyl-pyrazole anle138b binds to aggregated tau and inhibits tau aggregation in vitro and in vivo. Furthermore, anle138b treatment effectively ameliorates disease symptoms, increases survival time and improves cognition of tau transgenic PS19 mice. In addition, we found decreased synapse and neuron loss accompanied by a decreased gliosis in the hippocampus. Our results suggest that reducing tau aggregates with anle138b may represent an effective and promising approach for the treatment of human tauopathies. Electronic supplementary material The online version of this article (doi:10.1007/s00401-015-1483-3) contains supplementary material, which is available to authorized users.

Die absoluten Level von 5-Hydroxymethyl- (hmC) und 5-Methylcytosin (mC) in humanen Hirngeweben wurden in Abhangigkeit vom Lebensalter bestimmt. Zusatzlich wurden die absoluten 5-Formylcytosin-Level (fC) in adulten Individuen und die Level dieser modifizierten Cytosinbasen in menschlichen Neuronen quantifiziert. Wir vergleichen diese Daten mit den altersabhangigen Mengen von fC, hmC und mC in Hirngeweben der Maus. Bei hmC wird mit zunehmendem Alter zunachst ein Anstieg der Modifikationsdichte beobachtet. Im voll entwickelten Gehirn steigt das hmC-Level nicht weiter an, sondern bleibt auf einem konstant hohen Niveau von ca. 1.2 % beim Menschen. Dieser Wert ist etwa doppelt so hoch wie das hmC-Level im zerebralen Cortex der adulten Maus. Im Unterschied dazu sinkt das fC-Level in den fruhen Entwicklungsstadien mit zunehmendem Alter stark ab. Bei hmC konnte es sich dementsprechend um eine stabile epigenetische Modifikation handeln, wahrend fC in den fruhen Gehirnentwicklungsphasen vermutlich eher als Intermediat der aktiven DNA-Demethylierung auftritt.

The absolute levels of 5-hydroxymethylcytosine (hmC) and 5-methylcytosine (mC) in human brain tissues at various ages were determined. Additionally, absolute levels of 5-formylcytosine (fC) in adult individuals and cytosine modification levels in sorted neurons were quantified. These data were compared with age-related fC, hmC, and mC levels in mouse brain samples. For hmC, an initial steady increase is observed, which levels off with age to a final steady-state value of 1.2 % in human brain tissue. This level is nearly twice as high as in mouse cerebral cortex. In contrast, fC declines rapidly with age during early developmental stages, thus suggesting that while hmC is a stable epigenetic mark, fC is more likely an intermediate of active DNA demethylation during early brain development. The trends in global cytosine modification dynamics during the lifespan of an organism are conserved between humans and mice and show similar patterns in different organs.

To describe the clinical syndrome and diagnostic tests in patients with genetic prion diseases (gPD) in Germany. Clinical features, MRI, EEG, and CSF markers were studied in 91 patients (28 D178N, 20 E200K, 17 inserts, 13 V210I, 8 P102L, 5 E196K). Dementia (35 %) and ataxia (29 %) were the most common initial symptoms and signs. A wide variety and high frequency of neurological/psychiatric symptoms and signs was found during disease course in all patients independently of the type of the mutation. Psychiatric manifestations were frequent (87 %). Neuropsychological abnormalities were observed in 67 %, and aphasia was the most common disturbance (45 %). In E200K, V210I and D178N patients, visual/oculomotor deficits were followed by ataxia early in the disease. Dementia followed by ataxia at onset was common in patients with insert and E196K mutation. P102L patients had isolated ataxia over a longer time period followed by pyramidal signs. Dementia was present only late in the disease course. All clinical routine tests such as MRI, EEG and CSF tests were less sensitive than in sporadic CJD. We provide the first detailed analysis of clinical signs and symptoms in a large group of patients with gPD. Frequency of clinical symptoms and signs was similar in different mutations in a later disease course, but the sequence of occurrence may be of great diagnostic importance. CSF markers were shown to be more sensitive than MRI and EEG.

Glioblastoma (GBM) is the most malignant neoplasm with predominant astrocytic differentiation and the most frequent primary brain tumor of the adult. Here, we investigated 170 human GBM specimens deriving from 162 patients, as well as 66 healthy control tissue specimens deriving from 27 patients, and analyzed the amount of 5-hydroxymethylcytosine (5hmC) in GBMs compared to normal brain and tumor infiltration zones. Additionally, we correlated the amount of 5hmC with two different proliferation markers, Ki67 and H3S10p. Genetic characterization of GBMs enabled us to analyze the effect of isocitrate dehydrogenase 1 (IDH1) mutations, O6-methylguanin-DNA-methyltransferase (MGMT) promoter methylation, and loss of heterozygosity of chromosome 1p and 19q (LOH1p/19q) on 5hmC amount. We found that GBMs show a tremendous loss of 5hmC, and we observed that even the infiltration zones show reduced amounts of 5hmC. Interestingly, the amount of 5hmC was inversely proportional to the two investigated proliferation markers, Ki67 and H3S10p. Correlation of 5hmC amount and molecular genetic markers of GBMs showed that there are no correlations of 5hmC amount and IDH1 mutations, MGMT promoter methylation, and LOH1p/19q. Furthermore, we evaluated the intratumoral distribution of 5hmC in compact and infiltrating areas and found that the quantification of the 5hmC amount is a useful tool in evaluation of tumor infiltration. In summary, our data emphasize that GBMs show a disturbed hydroxymethylome that is disrupted by IDH1 independent pathways, and that loss of 5hmC shows astonishing intratumoral heterogeneity.

Many individuals with Parkinson's disease (PD) develop cognitive deficits, and a phenotypic and molecular overlap between neurodegenerative diseases exists. We investigated the contribution of rare variants in seven genes of known relevance to dementias (β-amyloid precursor protein (APP), PSEN1/2, MAPT (microtubule-associated protein tau), fused in sarcoma (FUS), granulin (GRN) and TAR DNA-binding protein 43 (TDP-43)) to PD and PD plus dementia (PD+D) in a discovery sample of 376 individuals with PD and followed by the genotyping of 25 out of the 27 identified variants with a minor allele frequency5% in 975 individuals with PD, 93 cases with Lewy body disease on neuropathological examination, 613 individuals with Alzheimer's disease (AD), 182 cases with frontotemporal dementia and 1014 general population controls. Variants identified in APP were functionally followed up by Aβ mass spectrometry in transiently transfected HEK293 cells. PD+D cases harbored more rare variants across all the seven genes than PD individuals without dementia, and rare variants in APP were more common in PD cases overall than in either the AD cases or controls. When additional controls from publically available databases were added, one rare variant in APP (c.1795GA(p.(E599K))) was significantly associated with the PD phenotype but was not found in either the PD cases or controls of an independent replication sample. One of the identified rare variants (c.2125GA (p.(G709S))) shifted the Aβ spectrum from Aβ40 to Aβ39 and Aβ37. Although the precise mechanism remains to be elucidated, our data suggest a possible role for APP in modifying the PD phenotype as well as a general contribution of genetic factors to the development of dementia in individuals with PD.

Background: Recent research indicates that long non-coding RNAs (lncRNA) represent a new family of RNAs that is of fundamental importance for controlling transcription and translation. Thereby, there is increasing evidence that lncRNAs are also important in tumourigenesis. Thereby valid expression profiling using quantitative PCR requires suitable, stably expressed normalisers to achieve reliable and reproducible data. However, no systematic analysis of suitable references in lncRNA studies in human glioma has been performed yet. Methods: In this study, we investigated 90 lncRNAs in 30 tissue specimen for the expression stability in human diffuse astrocytoma (WHO-Grade II), anaplastic astrocytoma (WHO-Grade III) and glioblastoma (WHO-Grade IV) both alone as well as in comparison with normal white matter. Our identification procedure included a rigorous bioinformatical selection process that resulted in the inclusion of only highly abundant, equally expressed lncRNAs for further analysis. Additionally, lncRNAs were classified according to their stability value using the NormFinder algorithm. Results: We identified 24 appropriate normalisers suitable for studies in diffuse astrocytoma, 22 for studies in anaplastic astrocytoma and 12 for studies in glioblastoma. Comparing all three glioma entities 7 lncRNAs showed stable expression levels. Addition of normal brain tissue resulted in only 4 suitable lncRNAs. Conclusions: Our findings indicate that 4 lncRNAs (HOXA6as, H19 upstream conserved 1 and 2, Zfhx2as and BC200) are suitable as normalisers in glioma and normal brain. These lncRNAs may thus be regarded as universal references being applicable for the accurate normalisation of lncRNA expression profiling in various glioma (WHO-Grades II-IV) alone and in combination with brain tissue. This enables to perform valid longitudinal studies, e.g. of glioma before and after malignisation to identify changes of lncRNA expressions probably driving malignant transformation.

The molecular mechanisms leading to brain tumors still remain unclear. Nevertheless, there is increasing evidence that epigenetic effects play crucial roles in tumor development and progression. Thereby, 5-hydroxymethylcytosine (5hmC) represents a further base modification of cytosine besides 5-methylcytosine (5mC). In addition to the role of 5hmC as an intermediate in demethylation, 5hmC is of reasonable importance for cellular control. Previous studies showed that loss of 5hmC is a hallmark of human malignancies, e.g. in glioma, melanoma, and myeloid tumors. In myeloid malignancies studies showed that loss of 5hmC was due to mutations within ten-eleven-translocation (TET) genes, enzymes being responsible for conversion of 5mC to 5hmC. Nevertheless, till date there are no genetic characterization data of TET enzymes available for glioma. In this study, we genetically characterized TET2 and TET3 alterations in 50 human gliomas (WHO-Grade II-IV) and in 19 healthy brain samples. We identified 7 genetic alterations within TET2 (p.V218M, p.G355N, p.P363L, p.L1721W, p.P1723S, p.I1762V, p.H1778R). Additionally, we performed quantification of 5hmC amount and added functional prediction analysis of identified TET alterations to evaluate the biological impact of these alterations on the hydroxymethylome. An analysis of TET3 showed no non-synonymous alterations. In summary, we did not find correlations of TET alterations with 5hmC amount. Thus, our data emphasize that, in contrast to leukemia, loss of 5hmC in glioma is not caused by TET gene alterations. Moreover, other disturbances, such as disrupted gene expressions or functional inhibitions of TET proteins may be responsible for the aberrant epigenome of human glioma.

The family of long non-coding RNA (lncRNA) is of increasing scientific interest as there is emerging evidence, that lncRNAs are of essential importance for transcriptional and translational control, genomic imprinting and regulation of normal development as well as neuronal plasticity. As the generation of reliable expression profiles requires adequate normalisers, it is of fundamental importance to determine suitable references for lncRNA studies. However, to date no systematic analysis of potential lncRNA normalisers has been performed on human postmortem brain tissue samples. In this study, we investigated three different brain regions (cortex, white matter, and cerebellum) of human postmortem tissue and analysed the expression stability of 90 lncRNAs. Bioinformatical analysis was performed to identify stably expressed lncRNAs. Subsequently, lncRNAs were classified according to their stability values using the NormFinder algorithm. We identified 30 suitable normalisers in cortex, 22 in white matter, and 41 in cerebellum. In addition, there were 13 suitable normalisers for studies comparing cortex and white matter, 25 for studies comparing cortex and cerebellum and 7 for studies comparing white matter and cerebellum. 5 lncRNAs (LUST, IGF2AS (family), 7SK, HOXA6as, NDM29) showed stable expression in all investigated brain regions. A subsequent analysis of the influence of postmortem intervals (PMI) on expression of lncRNAs revealed that expression levels of the newly identified 5 universal lncRNA normalisers are stable within PMI of up to 27 h. Thus, these 5 lncRNAs may be applicable as references for accurate normalisation of lncRNA profiling in multiple brain regions during long PMI, enabling the generation of highly reproducible datasets in lncRNA studies of the human brain.