Pathogenic LRRK2 mutations do not alter gene expression in cell model systems or human brain tissue

Point mutations in LRRK2 cause autosomal dominant Parkinson's disease. Despite extensive efforts to determine the mechanism of cell death in patients with LRRK2 mutations, the aetiology of LRRK2 PD is not well understood. To examine possible alterations in gene expression linked to the presence of LRRK2 mutations, we carried out a case versus control analysis of global gene expression in three systems: fibroblasts isolated from LRRK2 mutation carriers and healthy, non-mutation carrying controls; brain tissue from G2019S mutation carriers and controls; and HEK293 inducible LRRK2 wild type and mutant cell lines. No significant alteration in gene expression was found in these systems following correction for multiple testing. These data suggest that any alterations in basal gene expression in fibroblasts or cell lines containing mutations in LRRK2 are likely to be quantitatively small. This work suggests that LRRK2 is unlikely to play a direct role in modulation of gene expression, although it remains possible that this protein can influence mRNA expression under pathogenic cicumstances.

Regulatory hotspots are associated with plant gene expression under varying soil phosphorus supply in Brassica rapa

Gene expression is a quantitative trait that can be mapped genetically in structured populations to identify expression quantitative trait loci (eQTL). Genes and regulatory networks underlying complex traits can subsequently be inferred. Using a recently released genome sequence, we have defined cis- and trans-eQTL and their environmental response to low phosphorus (P) availability within a complex plant genome and found hotspots of trans-eQTL within the genome. Interval mapping, using P supply as a covariate, revealed 18,876 eQTL. trans-eQTL hotspots occurred on chromosomes A06 and A01 within Brassica rapa; these were enriched with P metabolism-related Gene Ontology terms (A06) as well as chloroplast-and photosynthesis-related terms (A01). We have also attributed heritability components to measures of gene expression across environments, allowing the identification of novel gene expression markers and gene expression changes associated with low P availability. Informative gene expression markers were used to map eQTL and P use efficiency-related QTL. Genes responsive to P supply had large environmental and heritable variance components. Regulatory loci and genes associated with P use efficiency identified through eQTL analysis are potential targets for further characterization and may have potential for crop improvement.

Multi-objective clustering ensemble for gene expression data analysis

In this paper, we present an algorithm for cluster analysis that integrates aspects from cluster ensemble and multi-objective clustering. The algorithm is based on a Pareto-based multi-objective genetic algorithm, with a special crossover operator, which uses clustering validation measures as objective functions. The algorithm proposed can deal with data sets presenting different types of clusters, without the need of expertise in cluster analysis. its result is a concise set of partitions representing alternative trade-offs among the objective functions. We compare the results obtained with our algorithm, in the context of gene expression data sets, to those achieved with multi-objective Clustering with automatic K-determination (MOCK). the algorithm most closely related to ours. (C) 2009 Elsevier B.V. All rights reserved.

Transcription of the Hsp30, Hsp70, and Hsp90 heat shock protein genes is modulated by the PalA protein in response to acid pH-sensing in the fungus Aspergillus nidulans

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Pancreatic islets from dexamethasone-treated rats show alterations in global gene expression and mitochondrial pathways

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Heart failure increases atrogin-1 and MuRF1 gene expression in skeletal muscle with fiber type-specific atrophy

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Expressed sequence tags from Atta laevigata and identification of candidate genes for the control of pest leaf-cutting ants.

Leafcutters are the highest evolved within Neotropical ants in the tribe Attini and model systems for studying caste formation, labor division and symbiosis with microorganisms. Some species of leafcutters are agricultural pests controlled by chemicals which affect other animals and accumulate in the environment. Aiming to provide genetic basis for the study of leafcutters and for the development of more specific and environmentally friendly methods for the control of pest leafcutters, we generated expressed sequence tag data from Atta laevigata, one of the pest ants with broad geographic distribution in South America. Results: The analysis of the expressed sequence tags allowed us to characterize 2,006 unique sequences in Atta laevigata. Sixteen of these genes had a high number of transcripts and are likely positively selected for high level of gene expression, being responsible for three basic biological functions: energy conservation through redox reactions in mitochondria; cytoskeleton and muscle structuring; regulation of gene expression and metabolism. Based on leafcutters lifestyle and reports of genes involved in key processes of other social insects, we identified 146 sequences potential targets for controlling pest leafcutters. The targets are responsible for antixenobiosis, development and longevity, immunity, resistance to pathogens, pheromone function, cell signaling, behavior, polysaccharide metabolism and arginine kynase activity. Conclusion: The generation and analysis of expressed sequence tags from Atta laevigata have provided important genetic basis for future studies on the biology of leaf-cutting ants and may contribute to the development of a more specific and environmentally friendly method for the control of agricultural pest leafcutters.

Alterações epigenéticas e do número de cópias do gene SFN em carcinomas mamários

Pós-graduação em Ciências Biológicas (Genética) - IBB

Pancreatic islets from dexamethasone-treated rats show alterations in global gene expression and mitochondrial pathways

Chronic administration of glucocorticoids (GC) leads to characteristic features of type 2 diabetes in mammals. The main action of dexamethasone in target cells occurs through modulation of gene expression, although the exact mechanisms are still unknown. We therefore investigated the gene expression profile of pancreatic islets from rats treated with dexamethasone using a cDNA array screening analysis. The expression of selected genes and proteins involved in mitochondria] apoptosis was further analyzed by PCR and immunoblotting. Insulin, triglyceride and free fatty acid plasma levels, as well as glucose-induced insulin secretion, were significantly higher in dexamethasone-treated rats compared with controls. Out of 1176 genes, 60 were up-regulated and 28 were down-regulated by dexamethasone treatment. Some of the modulated genes are involved in apoptosis, stress response, and proliferation pathways. RT-PCR confirmed the cDNA array results for 6 selected genes. Bax alpha protein expression was increased, while Bcl-2 was decreased. In vivo dexamethasone treatment decreased the mitochondrial production of NAD(P)H, and increased ROS production. Concluding, our data indicate that dexamethasone modulates the expression of genes and proteins involved in several pathways of pancreatic-islet cells, and mitochondria dysfunction might be involved in the deleterious effects after long-term GC treatment.

Changes in hippocampal gene expression by 7-nitroindazole in rats submitted to forced swimming stress

Nitric oxide (NO) is an atypical neurotransmitter that has been related to the pathophysiology of major depression disorder. Increased plasma NO levels have been reported in depressed and suicidal patients. Inhibition of neuronial nitric oxide synthase (nNOS), on the other hand, induces antidepressant effects in clinical and pre-clinical trials. The mechanisms responsible for the antidepressant-like effects of nNOS inhibitors, however, are not completely understood. In this study, genomic and proteomic analyses were used to investigate the effects of the preferential nNOS inhibitor 7-nitroindazole (7-NI) on changes in global gene and protein expression in the hippocampus of rats submitted to forced swimming test (FST). Chronic treatment (14 days, i.p.) with imipramine (15 mg/kg daily) or 7-NI (60 mg/kg daily) significantly reduced immobility in the FST. Saturation curves for Serial analysis of gene expression libraries showed that the hippocampus of animals submitted to FST presented a lower number of expressed genes compared to non-FST stressed groups. Imipramine, but not 7-NI, reverted this effect. GeneGo analyses revealed that genes related to oxidative phosphorylation, apoptosis and survival controlled by HTR1A signaling and cytoskeleton remodeling controlled by Rho GTPases were significantly changed by FST. 7-NI prevented this effect. In addition, 7-NI treatment changed the expression of genes related to transcription in the cAMP response element-binding pathway. Therefore, this study suggests that changes in oxidative stress and neuroplastic processes could be involved in the antidepressant-like effects induced by nNOS inhibition.

rpb2 is a reliable reference gene for quantitative gene expression analysis in the dermatophyte Trichophyton rubrum

The selection of reference genes used for data normalization to quantify gene expression by real-time PCR amplifications (qRT-PCR) is crucial for the accuracy of this technique. In spite of this, little information regarding such genes for qRT-PCR is available for gene expression analyses in pathogenic fungi. Thus, we investigated the suitability of eight candidate reference genes in isolates of the human dermatophyte Trichophyton rubrum subjected to several environmental challenges, such as drug exposure, interaction with human nail and skin, and heat stress. The stability of these genes was determined by geNorm, NormFinder and Best-Keeper programs. The gene with the most stable expression in the majority of the conditions tested was rpb2 (DNA-dependent RNA polymerase II), which was validated in three T. rubrum strains. Moreover, the combination of rpb2 and chs1 (chitin synthase) genes provided for the most reliable qRT-PCR data normalization in T. rubrum under a broad range of biological conditions. To the best of our knowledge this is the first report on the selection of reference genes for qRT-PCR data normalization in dermatophytes and the results of these studies should permit further analysis of gene expression under several experimental conditions, with improved accuracy and reliability.

Constraint-based analysis of gene interactions using restricted boolean networks and time-series data

Abstract Background A popular model for gene regulatory networks is the Boolean network model. In this paper, we propose an algorithm to perform an analysis of gene regulatory interactions using the Boolean network model and time-series data. Actually, the Boolean network is restricted in the sense that only a subset of all possible Boolean functions are considered. We explore some mathematical properties of the restricted Boolean networks in order to avoid the full search approach. The problem is modeled as a Constraint Satisfaction Problem (CSP) and CSP techniques are used to solve it. Results We applied the proposed algorithm in two data sets. First, we used an artificial dataset obtained from a model for the budding yeast cell cycle. The second data set is derived from experiments performed using HeLa cells. The results show that some interactions can be fully or, at least, partially determined under the Boolean model considered. Conclusions The algorithm proposed can be used as a first step for detection of gene/protein interactions. It is able to infer gene relationships from time-series data of gene expression, and this inference process can be aided by a priori knowledge available.

Long noncoding intronic RNAs are differentially expressed in primary and metastatic pancreatic cancer

Abstract Background Pancreatic ductal adenocarcinoma (PDAC) is known by its aggressiveness and lack of effective therapeutic options. Thus, improvement in current knowledge of molecular changes associated with pancreatic cancer is urgently needed to explore novel venues of diagnostics and treatment of this dismal disease. While there is mounting evidence that long noncoding RNAs (lncRNAs) transcribed from intronic and intergenic regions of the human genome may play different roles in the regulation of gene expression in normal and cancer cells, their expression pattern and biological relevance in pancreatic cancer is currently unknown. In the present work we investigated the relative abundance of a collection of lncRNAs in patients' pancreatic tissue samples aiming at identifying gene expression profiles correlated to pancreatic cancer and metastasis. Methods Custom 3,355-element spotted cDNA microarray interrogating protein-coding genes and putative lncRNA were used to obtain expression profiles from 38 clinical samples of tumor and non-tumor pancreatic tissues. Bioinformatics analyses were performed to characterize structure and conservation of lncRNAs expressed in pancreatic tissues, as well as to identify expression signatures correlated to tissue histology. Strand-specific reverse transcription followed by PCR and qRT-PCR were employed to determine strandedness of lncRNAs and to validate microarray results, respectively. Results We show that subsets of intronic/intergenic lncRNAs are expressed across tumor and non-tumor pancreatic tissue samples. Enrichment of promoter-associated chromatin marks and over-representation of conserved DNA elements and stable secondary structure predictions suggest that these transcripts are generated from independent transcriptional units and that at least a fraction is under evolutionary selection, and thus potentially functional. Statistically significant expression signatures comprising protein-coding mRNAs and lncRNAs that correlate to PDAC or to pancreatic cancer metastasis were identified. Interestingly, loci harboring intronic lncRNAs differentially expressed in PDAC metastases were enriched in genes associated to the MAPK pathway. Orientation-specific RT-PCR documented that intronic transcripts are expressed in sense, antisense or both orientations relative to protein-coding mRNAs. Differential expression of a subset of intronic lncRNAs (PPP3CB, MAP3K14 and DAPK1 loci) in metastatic samples was confirmed by Real-Time PCR. Conclusion Our findings reveal sets of intronic lncRNAs expressed in pancreatic tissues whose abundance is correlated to PDAC or metastasis, thus pointing to the potential relevance of this class of transcripts in biological processes related to malignant transformation and metastasis in pancreatic cancer.

A possible new mechanism for the control of miRNA expression in neurons

The control of gene expression by miRNAs has been widely investigated in different species and cell types. Following a probabilistic rather than a deterministic regimen, the action of these short nucleotide sequences on specific genes depends on intracellular concentration,which in turn reflects the balance between biosynthesis and degradation. Recent studies have described the involvement of XRN2, an exoribonuclease, in miRNA degradation and PAPD4, an atypical poly(A) polymerase, in miRNA stability. Herein, we examined the expression of XRN2 and PAPD4 in developing and adult rat hippocampi. Combining bioinformatics and real-time PCR,we demonstrated that XRN2 and PAPD4 expression is regulated by the uncorrelated action of transcription factors, resulting in distinct gene expression profiles during development. Analyses of nuclei position and nestin labeling revealed that both proteins progressively accumulated during neuronal differentiation, and that they are weakly expressed in immature neurons and absent in glial and endothelial cells. Despite the differences in subcellular localization, both genes were concurrently identified within identical neuronal subpopulations, including specific inhibitory interneurons. Thus, we cope with a singular circumstance in biology: an almost complete intersected expression of functional-opposed genes, reinforcing that their antagonistically driven actions on miRNAs “make sense” if simultaneously present at the same cells. Considering that the transcriptome in the nervous system is finely tuned to physiological processes, it was remarkable that miRNA stability-related genes were oncurrently identified in neurons that play essential roles in cognitive functions such as memory and learning. In summary, this study reveals a possible new mechanism for the control of miRNA expression.

Immune escape durch Überexpression von HER-2/neu

In Tumoren und Onkogen-transformierten Zellen finden sich häufig Defizienzen in der Expression von Komponenten der MHC Klasse I-Antigenprozessierung, die mit einer verminderten MHC Klasse I-Oberflächenexpression und einer reduzierten Sensitivität der Zellen gegenüber einer ZTL-vermittelten Lyse gekoppelt sein können. Da in den meisten Fällen die reduzierten Expressionsmuster über Zytokine revertiert werden können, werden verschiedene Regulationsmechanismen als Ursache für die Defizienzen postuliert. Auch in Zellen, die den „human epidermal growth factor receptor 2“ (HER-2/neu) überexprimieren, wurden derartige „Immune escape“-Mechanismen identifiziert. Aufgrund der Amplifikation und/oder Überexpression dieses Onkogens in Tumoren, die mit einer schnellen Progression der Erkrankung und einer schlechten Heilungsprognose assoziiert ist, wurden zahlreiche Therapien entwickelt, die auf einer Mobilisierung des Immunsystems gegenüber HER-2/neu oder dessen Blockade durch spezifische Antikörper abzielen. Die bisher jedoch nur unzureichenden Erfolge dieser Therapien könnten ihre Ursache in einer verminderten Immunogenität der HER-2/neu+-Zellen aufgrund von Defizienzen in der MHC Klasse I-Antigenprozessierung haben, weshalb die Untersuchung der molekularen Ursachen dieser Suppression für die Therapie von HER-2/neu+-Tumoren von besonderer Bedeutung ist. In dieser Arbeit wurde anhand eines in vitro-Systems ein HER-2/neu-vermittelter „Immune escape“-Phänotyp charakterisiert und die zugrunde liegenden molekularen Mechanismen untersucht. Hierzu wurden murine, HER-2/neu--NIH3T3-Zellen mit HER-2/neu-transfizierten NIH3T3-Zellen verglichen. Die Untersuchung zeigte, dass die Oberflächenexpression von MHC Klasse I-Antigenen bei einer HER-2/neu-Überexpression vermindert ist. Dies ist assoziiert mit reduzierten Expressionen von LMP2, LMP10, PA28a, PA28b, ERAAP, TAP1, TAP2, und Tapasin, einem blockiertem TAP-Transport und einer fehlenden Sensitivität gegenüber einer ZTL-vermittelten Lyse. Da die analysierten Defekte durch eine Stimulation mit IFN‑g wieder revertiert werden können, wird eine transkriptionelle oder translationelle Regulation der betroffenen Gene durch HER-2/neu postuliert. Aufgrund dieser Ergebnisse ist eine T-Zell-vermittelte Therapie von HER-2/neu+-Tumoren als kritisch anzusehen. Die Untersuchung der Promotoren von TAP1/LMP2, TAP2 und Tapasin ergab geringere und durch IFN‑g-induzierbare Promotoraktivitäten in den HER-2/neu+-Zellen im Vergleich zu den HER-2/neu—-Zellen. Mittels Mutagenese-PCR und Gelretardationsanalysen konnte die Bindung eines Komplexes an zwei E2F- und einer P300-Bindungsstelle im Tapasin-Promotor identifiziert werden, die für die HER-2/neu-vermittelte Hemmung der Tapasin-Promotor­aktivität essentiell ist. Eine Inaktivierung der E2F- und P300-Motve in den TAP1/LMP2- und TAP2-Promotoren hatte dagegen keinen Einfluss auf die HER-2/neu-vermittelte Blockade der Promotoraktivität. Ein Vergleich der Promotoraktivitäten der HER-2/neu+- mit Ras-transformierten Zellen ergab, dass die TAP1/LMP2- und TAP2-Promotoren in beiden Zellen supprimiert werden, während der Tapasin-Promotor bei Ras-Transformation nicht beein­trächtigt ist. Der Einsatz von Inhibitoren zeigte, dass die Suppression des Tapasin-Promotors vermutlich über die PLC-g-PKC-Kaskade erfolgt. Dagegen konnte mit Inhibitoren gegen MAPK und PI3Kinase kein vergleichbarer Effekt erzielt werden. Aufgrund dieser Daten wird postuliert, dass HER-2/neu über die Signalkaskade PLC-g–PKC–E2F/P300 die Tapasin-Promotoraktivität supprimiert, wohingegen noch bisher unbekannte Signalkaskaden von HER-2/neu und Ras zu einer Hemmung der TAP1/LMP2- und TAP2-Promotoraktivität führen. Da die Komplexbildung von E2F und P300 auch im Zellzyklus eine Rolle spielt, wird eine negative Korrelation zwischen Zell-Proliferation und MHC Klasse I-Antigenpräsentation postuliert, die Gegenstand künftiger Studien sein wird.