miRTargetLink—miRNAs, Genes and Interaction Networks

Information on miRNA targeting genes is growing rapidly. For high-throughput experiments, but also for targeted analyses of few genes or miRNAs, easy analysis with concise representation of results facilitates the work of life scientists. We developed miRTargetLink, a tool for automating respective analysis procedures that are frequently applied. Input of the web-based solution is either a single gene or single miRNA, but also sets of genes or miRNAs, can be entered. Validated and predicted targets are extracted from databases and an interaction network is presented. Users can select whether predicted targets, experimentally validated targets with strong or weak evidence, or combinations of those are considered. Central genes or miRNAs are highlighted and users can navigate through the network interactively. To discover the most relevant biochemical processes influenced by the target network, gene set analysis and miRNA set analysis are integrated. As a showcase for miRTargetLink, we analyze targets of five cardiac miRNAs. miRTargetLink is freely available without restrictions at www.ccb.uni-saarland.de/mirtargetlink

GeneTrail 3: advanced high-throughput enrichment analysis

We present GeneTrail 3, a major extension of our web service GeneTrail that offers rich functionality for the identification, analysis, and visualization of deregulated biological processes. Our web service provides a comprehensive collection of biological processes and signaling pathways for 12 model organisms that can be analyzed with a powerful framework for enrichment and network analysis of transcriptomic, miRNomic, proteomic, and genomic data sets. Moreover, GeneTrail offers novel workflows for the analysis of epigenetic marks, time series experiments, and single cell data. We demonstrate the capabilities of our web service in two case-studies, which highlight that GeneTrail is well equipped for uncovering complex molecular mechanisms. GeneTrail is freely accessible at: http://genetrail.bioinf.uni-sb.de

A study on Carbon Nanotube-Gene Interaction in Induction of Glial Cells to Neuron Cell

Introduction: Reprogramming different cell to neuron have yet remained attractive field in regenerative medicine, so discovery new methodsor improve existing methods could be helpful. The aim of this study was to evaluate the Carbon Nanotube-Gene Interaction in Induction ofGlial Cells to Neuron Cell.Materials and Methods: Accordingly, we analyzed the transcriptome data of glial and neuron cells to determine thedifferent gene expression in both groups. Then, based on this transcriptome data, the gene chemical interaction was determined to find the mostimportant chemical structure which induces glial cell to neurons. Data extract from transcriptome database related rat cerebral cortex cellsgenerated by RNA sequencing transcriptomic (RNAseq) technique. By comparison neuron against glial cells (astrocyte, oligodenderocyte andmicroglia) determined different gene expression. In Comparative Toxicogenomics Database (CTD) determined the most important chemicalto interact with this gene set. Then by using genetrail2 database determined mechanism of gene set associated to chemicals and miRNA enriched.Results: Result determined different chemical with the risk factor and protective factor properties related to 500 genes that enriched in a neuronin comparison with glial cells. The carbon nanotube is the first important chemicals that interact with 75 genes of 500. Gene ontology analysisdetermined the carbon nanotube effect on genes that induce neurogenesis, neurodevelopment, and differentiation. Genetrail2 release the 29significant miRNAs enriched in gene interacts with carbon nanotube in which miR-34a and miR-449a are the most significant molecules.Network analysis of these genes represents KIT (tyrosine-protein kinase, CD117), Gria1, Syt1, Rab3c, and Tubb3 have central roles inneurogenesis by the carbon nanotube.Conclusion: In sum up, the carbon nanotube is an electrical stimulator that has biocompatibility toinduce glial cell to the neuron which applies as devise lonely or combination with a cell in damage part of the neural tissue

ClinOmicsTrailbc: a visual analytics tool for breast cancer treatment stratification

Motivation: Breast cancer is the second leading cause of cancer death among women. Tumors, even of the same histopathological subtype, exhibit a high genotypic diversity that impedes therapy stratification and that hence must be accounted for in the treatment decision-making process. Results: Here, we present ClinOmicsTrailbc, a comprehensive visual analytics tool for breast cancer decision support that provides a holistic assessment of standard-of-care targeted drugs, candidates for drug repositioning and immunotherapeutic approaches. To this end, our tool analyzes and visualizes clinical markers and (epi-)genomics and transcriptomics datasets to identify and evaluate the tumor’s main driver mutations, the tumor mutational burden, activity patterns of core cancerrelevant pathways, drug-specific biomarkers, the status of molecular drug targets and pharmacogenomic influences. In order to demonstrate ClinOmicsTrailbc’s rich functionality, we present three case studies highlighting various ways in which ClinOmicsTrailbc can support breast cancer precision medicine. ClinOmicsTrailbc is a powerful integrated visual analytics tool for breast cancer research in general and for therapy stratification in particular, assisting oncologists to find the best possible treatment options for their breast cancer patients based on actionable, evidence-based results. Availability and implementation: ClinOmicsTrailbc can be freely accessed at https://clinomicstrail. bioinf.uni-sb.de

Epigenetic Regulation of Alternative mRNA Splicing in Dilated Cardiomyopathy

In recent years, the genetic architecture of dilated cardiomyopathy (DCM) has been more thoroughly elucidated. However, there is still insufficient knowledge on the modifiers and regulatory principles that lead to the failure of myocardial function. The current study investigates the association of epigenome-wide DNA methylation and alternative splicing, both of which are important regulatory principles in DCM. We analyzed screening and replication cohorts of cases and controls and identified distinct transcriptomic patterns in the myocardium that differ significantly, and we identified a strong association of intronic DNA methylation and flanking exons usage (p < 2 × 10−16). By combining differential exon usage (DEU) and differential methylation regions (DMR), we found a significant change of regulation in important sarcomeric and other DCM-associated pathways. Interestingly, inverse regulation of Titin antisense non-coding RNA transcript splicing and DNA methylation of a locus reciprocal to TTN substantiate these findings and indicate an additional role for non-protein-coding transcripts. In summary, this study highlights for the first time the close interrelationship between genetic imprinting by DNA methylation and the transport of this epigenetic information towards the dynamic mRNA splicing landscape. This expands our knowledge of the genome–environment interaction in DCM besides simple gene expression regulation

miR-34a as hub of T cell regulation networks

Background: Micro(mi)RNAs are increasingly recognized as central regulators of immune cell function. While it has been predicted that miRNAs have multiple targets, the majority of these predictions still await experimental confirmation. Here, miR-34a, a well-known tumor suppressor, is analyzed for targeting genes involved in immune system processes of leucocytes. Methods: Using an in-silico approach, we combined miRNA target prediction with GeneTrail2, a web tool for Multi-omics enrichment analysis, to identify miR-34a target genes, which are involved in the immune system process subcategory of Gene Ontology. Results: Out of the 193 predicted target genes in this subcategory we experimentally tested 22 target genes and confirmed binding of miR-34a to 14 target genes including VAMP2, IKBKE, MYH9, MARCH8, KLRK1, CD11A, TRAFD1, CCR1, PYDC1, PRF1, PIK3R2, PIK3CD, AP1B1, and ADAM10 by dual luciferase assays. By transfecting Jurkat, primary CD4+ and CD8+ T cells with miR-34a, we demonstrated that ectopic expression of miR-34a leads to reduced levels of endogenous VAMP2 and CD11A, which are central to the analyzed subcategories. Functional downstream analysis of miR-34a over-expression in activated CD8+ T cells exhibits a distinct decrease of PRF1 secretion. Conclusions: By simultaneous targeting of 14 mRNAs miR-34a acts as major hub of T cell regulatory networks suggesting to utilize miR-34a as target of intervention towards a modulation of the immune responsiveness of T-cells in a broad tumor context

Overlapping Effects of miR-21 Inhibition and Drugs for Idiopathic Pulmonary Fibrosis: Rationale for Repurposing Nintedanib as a Novel Treatment for Ischemia/Reperfusion Injury

ABSTRACT: A specific anti-miR-21 has emerged as an effective treatment for ischemia/reperfusion injury in a pig model of myocardial infarction (MI), but the perspectives for clinical translation are limited. Anti-miR-21 blunts profibrotic pathways, whose excessive activation is detrimental in the post-MI setting. Repurposing antifibrotic drugs approved for other indications is a possible strategy. We compared the molecular effects of anti-miR-21 and the 2 drugs approved for idiopathic pulmonary fibrosis (nintedanib and pirfenidone) through a bioinformatic approach. We report that nintedanib and anti-miR-21 share many targets, including the proto-oncogene Rous sarcoma oncogene cellular homolog. Conversely, pirfenidone and anti-miR-21 do not have common mechanisms of action. In summary, the molecular mechanisms activated by nintedanib are partially overlapping with those elicited by anti-miR-21. Nintedanib could be evaluated in animal studies or clinical trials on MI