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Mobile applications have increasingly entered the healthcare sector. Besides being daily companions, so-called mHealth applications have the potential to enable individuals to collect data, document issues, and share them with healthcare professionals to better adjust medical treatment, side effects, or quality of life. While patient empowerment should be a paramount goal, the setup of these applications in a reliable and communication-effective way is under discussion. In particular, including mHealth applications in the clinical practice routine is crucial to boost their development. Security concerns are of utmost importance as such applications deal with personal data. Considering the sensitive nature of many of the involved data, a trustworthy transfer protocol to the respective health care providers is essential to convince potential users. On the same grounds, healthcare providers, which represent another major stakeholder, might be skeptical of utilizing mHealth applications. This issue is often not prioritized by app developers, and there is a multitude of apps lacking clear and transparent data transfer concepts with a focus on both security and usability. In the following, we present and discuss two different approaches for managing and reporting sensitive clinical information and their secure inter-sectoral transfer. Both use cases are currently implemented into clinical practice, and their applicability is under constant evaluation. Besides, to empower inter-sectoral communication, both approaches have been developed in close collaboration with healthcare providers to maximize both communication and effectiveness of the mHealth applications. Based on our work, we conclude that while mHealth applications can be important in many aspects of improving health care, there are often significant limitations of mHealth-based communication, which can hamper its integration in clinical settings. To overcome these limitations, we show how to apply and re-elaborate on existing security and communication strategies. Finally, we highlight how these approaches can strengthen both patient and healthcare professionals’ empowerment.

Tissue-, sex-, and age-specific epigenetic modifications such as DNA methylation are largely unknown. Changes in DNA methylation of the glucocorticoid receptor gene ( NR3C1) and imprinting control region (ICR) of IGF2 and H19 genes during the lifespan are particularly interesting since these genes are susceptible to epigenetic modifications by prenatal stress or malnutrition. They are important regulators of development and aging. Methylation changes of NR3C1 affect glucocorticoid receptor expression, which is associated with stress sensitivity and stress-related diseases predominantly occurring during aging. Methylation changes of IGF2/H19 affect growth trajectory and nutrient use with risk of metabolic syndrome. Using a locus-specific approach, we characterized DNA methylation patterns of different Nr3c1 promoters and Igf2/H19 ICR in seven tissues of rats at 3, 9, and 24 mo of age. We found a complex pattern of locus-, tissue-, sex-, and age-specific DNA methylation. Tissue-specific methylation was most prominent at the shores of the Nr3c1 CpG island (CGI). Sex-specific differences in methylation peaked at 9 mo. During aging, Nr3c1 predominantly displayed hypomethylation mainly in females and at shores, whereas hypermethylation occurred within the CGI. Igf2/H19 ICR exhibited age-related hypomethylation occurring mainly in males. Methylation patterns of Nr3c1 in the skin correlated with those in the cortex, hippocampus, and hypothalamus. Skin may serve as proxy for methylation changes in central parts of the hypothalamic-pituitary-adrenal axis and hence for vulnerability to stress- and age-associated diseases. Thus, we provide in-depth insight into the complex DNA methylation changes of rat Nr3c1 and Igf2/H19 during aging that are tissue and sex specific.

Background Advances in second-generation sequencing of RNA made a near-complete characterization of transcriptomes affordable. However, the reconstruction of full-length mRNAs via de novo RNA-seq assembly is still difficult due to the complexity of eukaryote transcriptomes with highly similar paralogs and multiple alternative splice variants. Here, we present FRAMA, a genome-independent annotation tool for de novo mRNA assemblies that addresses several post-assembly tasks, such as reduction of contig redundancy, ortholog assignment, correction of misassembled transcripts, scaffolding of fragmented transcripts and coding sequence identification. Results We applied FRAMA to assemble and annotate the transcriptome of the naked mole-rat and assess the quality of the obtained compilation of transcripts with the aid of publicy available naked mole-rat gene annotations. Based on a de novo transcriptome assembly (Trinity), FRAMA annotated 21,984 naked mole-rat mRNAs (12,100 full-length CDSs), corresponding to 16,887 genes. The scaffolding of 3488 genes increased the median sequence information 1.27-fold. In total, FRAMA detected and corrected 4774 misassembled genes, which were predominantly caused by fusion of genes. A comparison with three different sources of naked mole-rat transcripts reveals that FRAMA’s gene models are better supported by RNA-seq data than any other transcript set. Further, our results demonstrate the competitiveness of FRAMA to state of the art genome-based transcript reconstruction approaches. Conclusion FRAMA realizes the de novo construction of a low-redundant transcript catalog for eukaryotes, including the extension and refinement of transcripts. Thereby, results delivered by FRAMA provide the basis for comprehensive downstream analyses like gene expression studies or comparative transcriptomics. FRAMA is available at https://github.com/gengit/FRAMA. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-2349-8) contains supplementary material, which is available to authorized users.

Physarum polycephalum is a well-studied microbial eukaryote with unique experimental attributes relative to other experimental\ud model organisms. It has a sophisticated life cycle with several distinct stages including amoebal, flagellated, and plasmodial cells. It is\ud unusual in switching between open and closed mitosis according to specific life-cycle stages. Here we present the analysis of the\ud genome of this enigmatic and important model organism and compare it with closely related species. The genome is littered with\ud simple and complex repeats and the coding regions are frequently interrupted by introns with a mean size of 100 bases.\ud Complemented with extensive transcriptome data, we define approximately 31,000 gene loci, providing unexpected insights into\ud earlyeukaryoteevolution.Wedescribeextensiveuseofhistidinekinase-basedtwo-componentsystemsandtyrosinekinasesignaling,\ud the presence of bacterial and plant type photoreceptors (phytochromes, cryptochrome, and phototropin) and of plant-type pentatricopeptide\ud repeat proteins, as well as metabolic pathways, and a cell cycle control system typically found in more complex eukaryotes.\ud Our analysis characterizes P. polycephalum as a prototypical eukaryote with features attributed to the last common ancestor of\ud Amorphea, that is, the Amoebozoa and Opisthokonts. Specifically, the presence of tyrosine kinases inAcanthamoeba and Physarum\ud as representatives of two distantly related subdivisions ofAmoebozoa argues against the later emergence of tyrosine kinase signaling\ud in the opisthokont lineage and also against the acquisition by horizontal gene transfer

Alternative splicing (AS) involving NAGNAG tandem acceptors is an evolutionarily widespread class of AS. Recent predictions of alternative acceptor usage reported better results for acceptors separated by larger distances, than for NAGNAGs. To improve the latter, we aimed at the use of Bayesian networks (BN), and extensive experimental validation of the predictions. Using carefully constructed training and test datasets, a balanced sensitivity and specificity ofor=92% was achieved. A BN trained on the combined dataset was then used to make predictions, and 81% (38/47) of the experimentally tested predictions were verified. Using a BN learned on human data on six other genomes, we show that while the performance for the vertebrate genomes matches that achieved on human data, there is a slight drop for Drosophila and worm. Lastly, using the prediction accuracy according to experimental validation, we estimate the number of yet undiscovered alternative NAGNAGs. State of the art classifiers can produce highly accurate prediction of AS at NAGNAGs, indicating that we have identified the major features of the 'NAGNAG-splicing code' within the splice site and its immediate neighborhood. Our results suggest that the mechanism behind NAGNAG AS is simple, stochastic, and conserved among vertebrates and beyond.

The laboratory rat is one of the most extensively studied model organisms. Inbred laboratory rat strains originated from limited Rattus norvegicus founder populations, and the inherited genetic variation provides an excellent resource for the correlation of genotype to phenotype. Here, we report a survey of genetic variation based on almost 3 million newly identified SNPs. We obtained accurate and complete genotypes for a subset of 20,238 SNPs across 167 distinct inbred rat strains, two rat recombinant inbred panels and an F2 intercross. Using 81% of these SNPs, we constructed high-density genetic maps, creating a large dataset of fully characterized SNPs for disease gene mapping. Our data characterize the population structure and illustrate the degree of linkage disequilibrium. We provide a detailed SNP map and demonstrate its utility for mapping of quantitative trait loci. This community resource is openly available and augments the genetic tools for this workhorse of physiological studies. This work was supported by European Union grants LSGH-2004-005235 and LSHG-CT-2005-019015. D.G. is supported by a Wellcome Trust Senior Fellowship in Basic Biomedical Science (057733/Z/99/A). M.-T.B. and D.G. acknowledge support from the Wellcome Cardiovascular Functional Genomics Initiative (066780/Z/01/Z)

Aberrant or modified splicing patterns of genes are causative for many human diseases. Therefore, the identification of genetic variations that cause changes in the splicing pattern of a gene is important. Elsewhere, we described the widespread occurrence of alternative splicing at NAGNAG acceptors. Here, we report a genomewide screen for single-nucleotide polymorphisms (SNPs) that affect such tandem acceptors. From 121 SNPs identified, we extracted 64 SNPs that most likely affect alternative NAGNAG splicing. We demonstrate that the NAGNAG motif is necessary and sufficient for this type of alternative splicing. The evolutionarily young NAGNAG alleles, as determined by the comparison with the chimpanzee genome, exhibit the same biases toward intron phase 1 and single–amino acid insertion/deletions that were already observed for all human NAGNAG acceptors. Since 28% of the NAGNAG SNPs occur in known disease genes, they represent preferable candidates for a more-detailed functional analysis, especially since the splice relevance for some of the coding SNPs is overlooked. Against the background of a general lack of methods for identifying splice-relevant SNPs, the presented approach is highly effective in the prediction of polymorphisms that are causal for variations in alternative splicing.

Summary: The program tuple_plot identifies and visualizes local similarities between two genomic sequences, typically 100 kb or longer, by applying the well-known dotplot principle. A dictionary of sequence words built from the input sequences serves to construct a task-specific expectancy model that is used to attribute significance values to pairwise word hits. The dictionary-based approach allows fast computation, the computation time scaling to O(N log N), depending on the size of the input sequences. The proposed scoring scheme appreciably increases the signal-to-noise ratio and may help to improve other word-based sequence comparison approaches. Availability: tuple_plot is available at and may be used under GNU public license. Contact: szafrans@fli-leibniz.de

Splice acceptors with the genomic NAGNAG motif may cause NAG insertion-deletions in transcripts, occur in 30% of human genes and are functional in at least 5% of human genes. We found five significant biases indicating that their distribution is nonrandom and that they are evolutionarily conserved and tissue-specific. Because of their subtle effects on mRNA and protein structures, these splice acceptors are often overlooked or underestimated, but they may have a great impact on biology and disease.

TG dinucleotides functioning as alternative 3' splice sites were identified and experimentally verified in 36 human genes., Background Despite some degeneracy of sequence signals that govern splicing of eukaryotic pre-mRNAs, it is an accepted rule that U2-dependent introns exhibit the 3' terminal dinucleotide AG. Intrigued by anecdotal evidence for functional non-AG 3' splice sites, we carried out a human genome-wide screen. Results We identified TG dinucleotides functioning as alternative 3' splice sites in 36 human genes. The TG-derived splice variants were experimentally validated with a success rate of 92%. Interestingly, ratios of alternative splice variants are tissue-specific for several introns. TG splice sites and their flanking intron sequences are substantially conserved between orthologous vertebrate genes, even between human and frog, indicating functional relevance. Remarkably, TG splice sites are exclusively found as alternative 3' splice sites, never as the sole 3' splice site for an intron, and we observed a distance constraint for TG-AG splice site tandems. Conclusion Since TGs splice sites are exclusively found as alternative 3' splice sites, the U2 spliceosome apparently accomplishes perfect specificity for 3' AGs at an early splicing step, but may choose 3' TGs during later steps. Given the tiny fraction of TG 3' splice sites compared to the vast amount of non-viable TGs, cis-acting sequence signals must significantly contribute to splice site definition. Thus, we consider TG-AG 3' splice site tandems as promising subjects for studies on the mechanisms of 3' splice site selection.