59 research outputs found

    Mantra 2.0: an online collaborative resource for drug mode of action and repurposing by network analysis

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    Abstract Summary: Elucidation of molecular targets of a compound [mode of action (MoA)] and its off-targets is a crucial step in drug development. We developed an online collaborative resource (MANTRA 2.0) that supports this process by exploiting similarities between drug-induced transcriptional profiles. Drugs are organized in a network of nodes (drugs) and edges (similarities) highlighting 'communities' of drugs sharing a similar MoA. A user can upload gene expression profiles before and after drug treatment in one or multiple cell types. An automated processing pipeline transforms the gene expression profiles into a unique drug 'node' embedded in the drug-network. Visual inspection of the neighbouring drugs and communities helps in revealing its MoA and to suggest new applications of known drugs (drug repurposing). MANTRA 2.0 allows storing and sharing user-generated network nodes, thus making MANTRA 2.0 a collaborative ever-growing resource. Availability and implementation: The web tool is freely available for academic use at http://mantra.tigem.it. Contact: [email protected]

    MiR-211 is essential for adult cone photoreceptor maintenance and visual function.

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    MicroRNAs (miRNAs) are key post-transcriptional regulators of gene expression that play an important role in the control of fundamental biological processes in both physiological and pathological conditions. Their function in retinal cells is just beginning to be elucidated, and a few have been found to play a role in photoreceptor maintenance and function. MiR-211 is one of the most abundant miRNAs in the developing and adult eye. However, its role in controlling vertebrate visual system development, maintenance and function so far remain incompletely unexplored. Here, by targeted inactivation in a mouse model, we identify a critical role of miR-211 in cone photoreceptor function and survival. MiR-211 knockout (-/-) mice exhibited a progressive cone dystrophy accompanied by significant alterations in visual function. Transcriptome analysis of the retina from miR-211-/- mice during cone degeneration revealed significant alteration of pathways related to cell metabolism. Collectively, this study highlights for the first time the impact of miR-211 function in the retina and significantly contributes to unravelling the role of specific miRNAs in cone photoreceptor function and survival

    Identification of p38 MAPK and JNK as New Targets for Correction of Wilson Disease-Causing ATP7B Mutants

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    Wilson disease (WD) is an autosomal recessive disorder that is caused by the toxic accumulation of copper (Cu) in the liver. The ATP7B gene, which is mutated in WD, encodes a multitransmembrane domain adenosine triphosphatase that traffics from the trans-Golgi network to the canalicular area of hepatocytes, where it facilitates excretion of excess Cu into the bile. Several ATP7B mutations, including H1069Q and R778L that are two of the most frequent variants, result in protein products, which, although still functional, remain in the endoplasmic reticulum. Thus, they fail to reach Cu excretion sites, resulting in the toxic buildup of Cu in the liver of WD patients. Therefore, correcting the location of these mutants by leading them to the appropriate functional sites in the cell should restore Cu excretion and would be beneficial to help large cohorts of WD patients. However, molecular targets for correction of endoplasmic reticulum-retained ATP7B mutants remain elusive. Here, we show that expression of the most frequent ATP7B mutant, H1069Q, activates p38 and c-Jun N-terminal kinase signaling pathways, which favor the rapid degradation of the mutant. Suppression of these pathways with RNA interference or specific chemical inhibitors results in the substantial rescue of ATP7B(H1069Q) (as well as that of several other WD-causing mutants) from the endoplasmic reticulum to the trans-Golgi network compartment, in recovery of its Cu-dependent trafficking, and in reduction of intracellular Cu levels. Conclusion: Our findings indicate p38 and c-Jun N-terminal kinase as intriguing targets for correction of WD-causing mutants and, hence, as potential candidates, which could be evaluated for the development of novel therapeutic strategies to combat WD

    Blood transcriptomics of drug-na\uefve sporadic Parkinson's disease patients

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    BACKGROUND: Parkinson's disease (PD) is a chronic progressive neurodegenerative disorder that is clinically defined in terms of motor symptoms. These are preceded by prodromal non-motor manifestations that prove the systemic nature of the disease. Identifying genes and pathways altered in living patients provide new information on the diagnosis and pathogenesis of sporadic PD. METHODS: Changes in gene expression in the blood of 40 sporadic PD patients and 20 healthy controls ("Discovery set") were analyzed by taking advantage of the Affymetrix platform. Patients were at the onset of motor symptoms and before initiating any pharmacological treatment. Data analysis was performed by applying Ranking-Principal Component Analysis, PUMA and Significance Analysis of Microarrays. Functional annotations were assigned using GO, DAVID, GSEA to unveil significant enriched biological processes in the differentially expressed genes. The expressions of selected genes were validated using RT-qPCR and samples from an independent cohort of 12 patients and controls ("Validation set"). RESULTS: Gene expression profiling of blood samples discriminates PD patients from healthy controls and identifies differentially expressed genes in blood. The majority of these are also present in dopaminergic neurons of the Substantia Nigra, the key site of neurodegeneration. Together with neuronal apoptosis, lymphocyte activation and mitochondrial dysfunction, already found in previous analysis of PD blood and post-mortem brains, we unveiled transcriptome changes enriched in biological terms related to epigenetic modifications including chromatin remodeling and methylation. Candidate transcripts as CBX5, TCF3, MAN1C1 and DOCK10 were validated by RT-qPCR. CONCLUSIONS: Our data support the use of blood transcriptomics to study neurodegenerative diseases. It identifies changes in crucial components of chromatin remodeling and methylation machineries as early events in sporadic PD suggesting epigenetics as target for therapeutic intervention

    Identification of non-coding RNA – based molecular networks in Group 3 Medulloblastoma

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    Cancer is a complex genetic disease involving structural and expression abnormalities of both coding and non-coding genes. These latters include long, small and even circular transcripts, which are crucial players in the multi-layered gene expression regulation playing key roles in every cellular process. Medulloblastoma (MB) is the most common malignant childhood brain tumour; the current therapeutic approaches cause long-term side effects, which could be avoided by using molecularly targeted therapies. Recently, insights gained from transcriptomic and genomic analyses revealed the existence of four MB molecular subgroups (WNT, SHH, Group 3 and Group 4), each considered as a distinct disease and marked by specific driver genes. While WNT and SHH MB subgroups have been thoroughly investigated, great efforts are required to better characterize Group 3 and Group 4 MBs, which account for 60% of all prognoses and present the greatest clinical challenges. In this regard, I previously contributed to discover the role of the long non-coding RNA linc-NeD125 as a competing endogenous RNA that regulates the expression of specific Group 4 MB driver genes. I am still focusing on the molecular pathways deregulated in MB to identify non-coding RNA – based molecular networks underlying the enigmatic Group 3 MB, which shows the worst outcome and the highest metastasis rate. This subgroup is characterized by a MYC signature, due to both gene copy number increase and aberrant expression. Transcriptomic analyses on a Group 3 – derived cell line (D283-Med cells) interfered for MYC expression are allowing me to produce an atlas of RNA species (mRNAs, long ncRNAs, small ncRNAs, circRNAs) regulated by MYC. The final goal is to build up novel non-coding RNA – based molecular circuitries as well as to identify novel biomarkers and potential therapeutic targets of Group 3 MB

    HDAC2‐dependent miRNA signature in acute myeloid leukemia

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    Acute myeloid leukemia (AML) arises from a complex sequence of biological and finely orchestrated events that are still poorly understood. Increasingly, epigenetic studies are providing exciting findings that may be exploited in promising and personalized cutting-edge therapies. A more appropriate and broader screening of possible players in cancer could identify a master molecular mechanism in AML. Here, we build on our previously published study by evaluating a histone deacetylase (HDAC)2-mediated miRNA regulatory network in U937 leukemic cells. Following a comparative miRNA profiling analysis in genetically and enzymatically HDAC2-downregulated AML cells, we identified miR-96-5p and miR-92a-3p as potential regulators in AML etiopathology by targeting defined genes. Our findings support the potentially beneficial role of alternative physio-pathological interventions. This article is protected by copyright. All rights reserved

    Predictive models on .

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    <p>Predictive models on .</p

    Scenario 1A average within distance and relative standard deviation for communities simulated with and .

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    <p>Scenario 1A average within distance and relative standard deviation for communities simulated with and .</p

    Average results of the application of our stability analysis to the real Biological data example.

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    <p>The average value of the normalized variation of information is plotted as a function of the amount of perturbation . The black points in the figures show the variation of information for the unperturbed biological network while the red points show the results for the correspondent random graph (null model).</p
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