610 Medizin und Gesundheit
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Bone Morphogenetic Proteins (BMPs) are important growth factors that regulate many cellular processes. During embryogenesis they act as morphogens and play a critical role during organ development. They influence cell fates via concentration-gradients in the embryos where cells transduce this extracellular information into gene expression profiles and cell fate decisions. How receiving cells decode and quantify BMP2/4 signals is hardly understood. There is little data on the quantitative relationships between signal input, transducing molecules, their states and location, and ultimately their ability to integrate graded systemic inputs and generate qualitative responses. Understanding this signaling network on a quantitative level should be considered a prerequisite for efficient pathway modulation, as the BMP pathway is a prime target for therapeutic invention. Hence, we quantified the spatial distribution of the main signal transducer of the BMP2/4 pathway in response to different types and levels of stimuli in c2c12 cells. We found that the subcellular localization of Smad1 is independent of ligand concentration. In contrast, Smad1 phosphorylation levels relate proportionally to BMP2 ligand concentrations and they are entirely located in the nucleus. Interestingly, we found that BMP2 stimulates target gene expression in non-linear, wave-like forms. Amplitudes showed a clear concentration-dependency, for sustained and transient stimulation. We found that even burst-stimulation triggers gene-expression wave-like modulations that are detectable for at least 30 h. Finally, we show here that target gene expression oscillations depend on receptor kinase activity, as the kinase drives further expression pulses without receptor reactivation and the target gene expression breaks off after inhibitor treatment in c2c12 cells.
Molecular Signatures Associated with HCV-Induced Hepatocellular Carcinoma and Liver Metastasis
(2013)
Hepatocellular carcinomas (HCCs) are a heterogeneous group of tumors that differ in risk factors and genetic alterations. In Italy, particularly Southern Italy, chronic hepatitis C virus (HCV) infection represents the main cause of HCC. Using high-density oligoarrays, we identified consistent differences in gene-expression between HCC and normal liver tissue. Expression patterns in HCC were also readily distinguishable from those associated with liver metastases. To characterize molecular events relevant to hepatocarcinogenesis and identify biomarkers for early HCC detection, gene expression profiling of 71 liver biopsies from HCV-related primary HCC and corresponding HCV-positive non-HCC hepatic tissue, as well as gastrointestinal liver metastases paired with the apparently normal peri-tumoral liver tissue, were compared to 6 liver biopsies from healthy individuals. Characteristic gene signatures were identified when normal tissue was compared with HCV-related primary HCC, corresponding HCV-positive non-HCC as well as gastrointestinal liver metastases. Pathway analysis classified the cellular and biological functions of the genes differentially expressed as related to regulation of gene expression and post-translational modification in HCV-related primary HCC; cellular Growth and Proliferation, and Cell-To-Cell Signaling and Interaction in HCV-related non HCC samples; Cellular Growth and Proliferation and Cell Cycle in metastasis. Also characteristic gene signatures were identified of HCV-HCC progression for early HCC diagnosis.
Conclusions: A diagnostic molecular signature complementing conventional pathologic assessment was identified.
Several novel synaptic proteins have been identified by monoclonal antibodies (mAbs) of the Würzburg hybridoma library generated against homogenized Drosophila brains, e.g. cysteine string protein, synapse-associated protein of 47 kDa, and Bruchpilot. However, at present no routine technique exists to identify the antigens of mAbs of our library that label only a small number of cells in the brain. Yet these antibodies can be used to reproducibly label and thereby identify these cells by immunohistochemical staining. Here we describe the staining patterns in the Drosophila brain for ten mAbs of the Würzburg hybridoma library. Besides revealing the neuroanatomical structure and distribution of ten different sets of cells we compare the staining patterns with those of antibodies against known antigens and GFP expression patterns driven by selected Gal4 lines employing regulatory sequences of neuronal genes. We present examples where our antibodies apparently stain the same cells in different Gal4 lines suggesting that the corresponding regulatory sequences can be exploited by the split-Gal4 technique for transgene expression exclusively in these cells. The detection of Gal4 expression in cells labeled by mAbs may also help in the identification of the antigens recognized by the antibodies which then in addition to their value for neuroanatomy will represent important tools for the characterization of the antigens. Implications and future strategies for the identification of the antigens are discussed.
Background
The identification of additional prognostic markers to improve risk stratification and to avoid overtreatment is one of the most urgent clinical needs in prostate cancer (PCa). MicroRNAs, being important regulators of gene expression, are promising biomarkers in various cancer entities, though the impact as prognostic predictors in PCa is poorly understood. The aim of this study was to identify specific miRNAs as potential prognostic markers in high-risk PCa and to validate their clinical impact.
Methodology and Principal Findings
We performed miRNA-microarray analysis in a high-risk PCa study group selected by their clinical outcome (clinical progression free survival (CPFS) vs. clinical failure (CF)). We identified seven candidate miRNAs (let-7a/b/c, miR-515-3p/5p, -181b, -146b, and -361) that showed differential expression between both groups. Further qRT-PCR analysis revealed down-regulation of members of the let-7 family in the majority of a large, well-characterized high-risk PCa cohort (n = 98). Expression of let-7a/b/and -c was correlated to clinical outcome parameters of this group. While let-7a showed no association or correlation with clinical relevant data, let-7b and let-7c were associated with CF in PCa patients and functioned partially as independent prognostic marker. Validation of the data using an independent high-risk study cohort revealed that let-7b, but not let-7c, has impact as an independent prognostic marker for BCR and CF. Furthermore, we identified HMGA1, a non-histone protein, as a new target of let-7b and found correlation of let-7b down-regulation with HMGA1 over-expression in primary PCa samples.
Conclusion
Our findings define a distinct miRNA expression profile in PCa cases with early CF and identified let-7b as prognostic biomarker in high-risk PCa. This study highlights the importance of let-7b as tumor suppressor miRNA in high-risk PCa and presents a basis to improve individual therapy for high-risk PCa patients.
DNA Methylation Mediated Control of Gene Expression Is Critical for Development of Crown Gall Tumors
(2013)
Crown gall tumors develop after integration of the T-DNA of virulent Agrobacterium tumefaciens strains into the plant genome. Expression of the T-DNA–encoded oncogenes triggers proliferation and differentiation of transformed plant cells. Crown gall development is known to be accompanied by global changes in transcription, metabolite levels, and physiological processes. High levels of abscisic acid (ABA) in crown galls regulate expression of drought stress responsive genes and mediate drought stress acclimation, which is essential for wild-type-like tumor growth. An impact of epigenetic processes such as DNA methylation on crown gall development has been suggested; however, it has not yet been investigated comprehensively. In this study, the methylation pattern of Arabidopsis thaliana crown galls was analyzed on a genome-wide scale as well as at the single gene level. Bisulfite sequencing analysis revealed that the oncogenes Ipt, IaaH, and IaaM were unmethylated in crown galls. Nevertheless, the oncogenes were susceptible to siRNA–mediated methylation, which inhibited their expression and subsequently crown gall growth. Genome arrays, hybridized with methylated DNA obtained by immunoprecipitation, revealed a globally hypermethylated crown gall genome, while promoters were rather hypomethylated. Mutants with reduced non-CG methylation developed larger tumors than the wild-type controls, indicating that hypermethylation inhibits plant tumor growth. The differential methylation pattern of crown galls and the stem tissue from which they originate correlated with transcriptional changes. Genes known to be transcriptionally inhibited by ABA and methylated in crown galls became promoter methylated upon treatment of A. thaliana with ABA. This suggests that the high ABA levels in crown galls may mediate DNA methylation and regulate expression of genes involved in drought stress protection. In summary, our studies provide evidence that epigenetic processes regulate gene expression, physiological processes, and the development of crown gall tumors.
In Lymphozyten wird nach Antigenaktivierung die Expression des Nfatc1-Gens durch Aktivierung des P1-Promoters stark induziert. Dagegen ist die, durch den Promoter P2 vermittelte Expression ebenso wie die der anderen NFAT Faktoren c2 und c3 konstitutiv. Die Akkumulation der dabei gebildeten Isoform NFATc1/αA ist sowohl für Effektorfunktionen wie die Zytokinproduktion sowie die Proliferation und das Überleben der aktivierten Zellen wichtig (Chuvpilo et al., 2002). Um die Expression des Nfatc1-Gens auf Einzelzellebene messen zu können, wurden BAC (bacterial artificial chromosom) transgene Mauslinien generiert, die einen 210kb großen Bereich des Nfatc1-Gens der Maus enthalten. In diesen Lokus wurde ein eGFP-Reportergen innerhalb des allen Isoformen gemeinsamen, dritten Exons integriert. In dieser Arbeit wird durch semiquantitative RT-PCR-Experimente von Gesamt-Milzzellen und TLymphozyten gezeigt, dass in den B6/NFATc1-eGFP-BAC-Reportermäusen die Expression der eGFP-cDNA analog zum endogenen Nfatc1-Lokus der Kontrolle der beiden Promotoren P1 und P2 unterliegt. In Western Blot Experimenten wird in diesen Zellen mittels eines NFATc1α-spezifischen Antikörpers eine induzierbare und CsA-sensitive α-GFP-Isoform - vergleichbar mit der endogenen NFATc1α-Isoform - nachgewiesen. Gleichzeitig zeigen NFATc1-Antikörper das konstitutiv exprimierte GFPβ-Protein. Die Korrelation der Expression von NFATc1 und GFP auf mRNA- und Proteinebene machen in B6/NFATc1-eGFP-BAC-Reportermäusen das GFP-Protein somit zu einem sensitiven und spezifischen Marker der NFATc1-Aktivität. In FACS-Analysen gibt der Anstieg der GFP-Fluoreszenzintensität bei Stimulation von Gesamt- Milzzellen bzw. T-Lymphozyten um bis auf das Dreifache die Induktion von NFATc1 wider. Unter dem Einfluss von CsA verbleibt die GFPFluoreszenzintensität auf dem Niveau unstimulierter Zellen. Die GFPFluoreszenz korreliert darüber hinaus bei Primärstimulation mit der Expression des IL-2-Gens, dessen Promotor mit 5 NFAT-Bindestellen den Prototyp eines NFATc1-Targets darstellt (Serfling et al., 1989). Die Analyse der Koexpression von NFATc1 und GFP mittels Fluoreszenzmikroskopie zeigt in allen stimulierten, GFP-positiven CD4+-Lymphozyten die nukleäre Lokalisation von 75 NFATc1, vor allem von NFATc1α. Die Analyse des GFP-Phänotyps in alloreaktiven T-Zellen zeigt bei Abstoßungsreaktionen in vitro („Mixed Lymphocyte Reactions“) eine selektive Zunahme der Fluoreszenz dieser Zellen um bis auf das Vierfache, was die Rolle von NFATc1 für die Effektorfunktion aktivierter T-Lymphozyten verdeutlicht. GFP und das endogene NFATc1 werden bei Stimulation konventioneller T-Zellen (Tcons, CD4+CD25-FoxP3-) stark exprimiert, während natürliche regulatorische T-Zellen (nTregs, CD4+CD25+FoxP3+) konstant geringe NFATc1- und GFP-Konzentrationen zeigen. In induzierten regulatorischen T-Lymphozyten (iTregs) supprimiert TGF- β konzentrationsabhängig die GFP-Fluoreszenz bis auf das Niveau unstimulierter Lymphozyten. Während in nTregs die Suppression des Nfatc1- Gens im wesentlichen durch FoxP3 erfolgt (Torgerson et al., 2009), scheint dies in iTregs vor allem über den TGF-β Signalweg vermittelt zu werden. Die Analyse der GFP-Expression in den verschiedenen Stadien der TZellentwicklung zeigt weiterhin deutliche Unterschiede in der Aktivität des Nfatc1-Gens. Dies wird durch die starke Aktivität des BAC-Genlokus in CD4- CD8- DN Thymozyten, welche eine sechsfach höhere GFP-Expression aufweisen als CD4+CD8+ DP Zellen, deutlich.