DNA microarray integromics analysis platform

Background: The study of interactions between molecules belonging to different biochemical families (such as lipids and nucleic acids) requires specialized data analysis methods. This article describes the DNA Microarray Integromics Analysis Platform, a unique web application that focuses on computational integration and analysis of "multi-omics" data. Our tool supports a range of complex analyses, including - among others - low- and high-level analyses of DNA microarray data, integrated analysis of transcriptomics and lipidomics data and the ability to infer miRNA-mRNA interactions. Results: We demonstrate the characteristics and benefits of the DNA Microarray Integromics Analysis Platform using two different test cases. The first test case involves the analysis of the nutrimouse dataset, which contains measurements of the expression of genes involved in nutritional problems and the concentrations of hepatic fatty acids. The second test case involves the analysis of miRNA-mRNA interactions in polysaccharide-stimulated human dermal fibroblasts infected with porcine endogenous retroviruses. Conclusions: The DNA Microarray Integromics Analysis Platform is a web-based graphical user interface for "multi-omics" data management and analysis. Its intuitive nature and wide range of available workflows make it an effective tool for molecular biology research. The platform is hosted at https://lifescience.plgrid.pl

Target specificity of mammalian DNA methylation and demethylation machinery

DNA methylation is an essential epigenetic modification for mammalian embryonic development and biology. The DNA methylation pattern across the genome, together with other epigenetic signals, is responsible for the transcriptional profile of a cell and thus preservation of the cell's identity. Equally, the family of TET enzymes which triggers the initiation of the DNA demethylation cycle plays a vital role in the early embryonic development and a lack of these enzymes at later stages leads to a diseased state and dysregulation of the epigenome. DNA methylation has long been considered a very stable modification; however, it has become increasingly clear that for the establishment and maintenance of the methylation pattern, both generation of DNA methylation and its removal are important, and that a delicate balance of ongoing DNA methylation and demethylation shapes the final epigenetic methylation pattern of the cell. Although this epigenetic mark has been investigated in great detail, it still remains to be fully understood how specific DNA methylation imprints are precisely generated, maintained, read or erased in the genome. Here, we provide a biochemist's view on how both DNA methyltransferases and TET enzymes are recruited to specific genomic loci, and how their chromatin interactions, as well as their intrinsic sequence specificities and molecular mechanisms, contribute to the methylation pattern of the cell

Capturing and stabilizing folded proteins in lattices formed with branched oligonucleotide hybrids

The encapsulation of folded proteins in stabilizing matrices is one of the challenges of soft‐matter materials science. Capturing such fragile bio‐macromolecules from aqueous solution, and embedding them in a lattice that stabilizes them against denaturation and decomposition is difficult. Here, we report that tetrahedral oligonucleotide hybrids as branching elements, and connecting DNA duplexes with sticky ends can assemble into materials. The material‐forming property was used to capture DNA‐binding proteins selectively from aqueous protein mixtures. The three‐dimensional networks also encapsulate guest molecules in a size‐selective manner, accommodating proteins up to a molecular weight of approximately 159 kDa for the connecting duplex lengths tested. Exploratory experiments with green fluorescent protein showed that, when embedded in the DNA‐based matrix, the protein is more stable toward denaturation than in the free form, and retains its luminescent properties for at least 90 days in dry form. The noncrystalline biohybrid matrices presented herein may be used for capturing other proteins or for producing functional materials

Synthetic epigenetics-towards intelligent control of epigenetic states and cell identity

Epigenetics is currently one of the hottest topics in basic and biomedical research. However, to date, most of the studies have been descriptive in nature, designed to investigate static distribution of various epigenetic modifications in cells. Even though tremendous amount of information has been collected, we are still far from the complete understanding of epigenetic processes, their dynamics or even their direct effects on local chromatin and we still do not comprehend whether these epigenetic states are the cause or the consequence of the transcriptional profile of the cell. In this review, we try to define the concept of synthetic epigenetics and outline the available genome targeting technologies, which are used for locus-specific editing of epigenetic signals. We report early success stories and the lessons we have learned from them, and provide a guide for their application. Finally, we discuss existing limitations of the available technologies and indicate possible areas for further development

Bisulfite sequencing Data Presentation and Compilation (BDPC) web server—a useful tool for DNA methylation analysis

During bisulfite genomic sequencing projects large amount of data are generated. The Bisulfite sequencing Data Presentation and Compilation (BDPC) web interface (http://biochem.jacobs-university.de/BDPC/) automatically analyzes bisulfite datasets prepared using the BiQ Analyzer. BDPC provides the following output: (i) MS-Excel compatible files compiling for each PCR product (a) the average methylation level, the number of clones analyzed and the percentage of CG sites analyzed (which is an indicator of data quality), (b) the methylation level observed at each CG site and (c) the methylation level of each clone. (ii) A methylation overview table compiling the methylation of all amplicons in all tissues. (iii) Publication grade figures in PNG format showing the methylation pattern for each PCR product embedded in an HMTL file summarizing the methylation data, the DNA sequence and some basic statistics. (iv) A summary file compiling the methylation pattern of different tissues, which is linked to the individual HTML result files, and can be directly used for presentation of the data in the internet. (v) A condensed file, containing all primary data in simplified format for further downstream data analysis and (vi) a custom track file for display of the results in the UCSC genome browser

Application of intravoxel incoherent motion (IVIM) model for differentiation between metastatic and non-metastatic head and neck lymph nodes

Background: Application of intravoxel incoherent motion (IVIM) model parameters, including: true diffusion (D), pseudodiffusion (D*), and perfusion fraction (Fp), for differentiation between metastatic and non-metastatic head and neck lymph nodes. Material/Methods: Diffusion-weighted images/apparent diffusion coefficient (DWI/ADC) images of 86 lymph nodes from 31 cancer patients were analyzed. DWI images were obtained with a 1.5T MRI scanner (Magnetom Avanto); b=0,50, 150, 300, 500, 750, 1000, 1200 s/mm2. Results: In the study group, there were 32 (37%) and 54 (67%) metastatic and non-metastatic lymph nodes, respectively. The mean values of D, D*, and Fp did not differ significantly between metastatic and non-metastatic lymph nodes. Conclusions: IVIM parameters are not useful for differentiation between metastatic and non-metastatic head and neck lymph nodes

Plasmidome of an environmental Acinetobacter lwoffii strain originating from a former gold and arsenic mine

Emerging important Acinetobacter strains commonly accommodate a plethora of mobile elements including plasmids of different size. Plasmids, apart from encoding modules enabling their self-replication and/or transmission, can carry a diverse number of genes, allowing the host cell to survive in an environment that would otherwise be lethal or restrictive for growth. The present study characterizes the plasmidome generated from an arsenic-resistant strain named ZS207, classified as Acinetobacter lwoffii . Sequencing effort revealed the presence of nine plasmids in the size between 4.3 and 38.4 kb as well as one 186.6 kb megaplasmid. All plasmids, except the megaplasmid, do apparently not confer distinguishing phenotypic features . In contrast, the megaplasmid carries arsenic and heavy metals resistance regions similar to those found in permafrost A. lwoffii strains. In-depth in silico analyses have shown a significant similarity between the regions from these plasmids, especially concerning multiple transposable elements, transfer and mobilization genes, and toxin-antitoxin systems. Since ars genes encode proteins of major significance in terms of potential use in bioremediation, arsenic resistance level of ZS207 was determined and the functionality of selected ars genes was examined . Additionally, we checked the functionality of plasmid-encoded toxin-antitoxin systems and their impact on the formation of persister cells

Different forms of African cassava mosaic virus capsid protein within plants and virions

One geminiviral gene encodes the capsid protein (CP), which can appear as several bands after electrophoresis depending on virus and plant. African cassava mosaic virus-Nigeria CP in Nicotiana benthamiana, however, yielded one band (~ 30 kDa) in total protein extracts and purified virions, although its expression in yeast yielded two bands (~ 30, 32 kDa). Mass spectrometry of the complete protein and its tryptic fragments from virions is consistent with a cleaved start M1, acetylated S2, and partial phosphorylation at T12, S25 and S62. Mutants for additional potentially modified sites (N223A; C235A) were fully infectious and formed geminiparticles. Separation in triton acetic acid urea gels confirmed charge changes of the CP between plants and yeast indicating differential phosphorylation. If the CP gene alone was expressed in plants, multiple bands were observed like in yeast. A high turnover rate indicates that post-translational modifications promote CP decay probably via the ubiquitin-triggered proteasomal pathway

Sperm induce a secondary increase in ATP levels in mouse eggs that is independent of Ca2+ oscillations

Egg activation at fertilization in mouse eggs is caused by a series of cytosolic Ca2+ oscillations that are associated with an increase in ATP concentrations driven by increased mitochondrial activity. We have investigated the role of Ca2+ oscillations in these changes in ATP at fertilization by measuring the dynamics of ATP and Ca2+ in mouse eggs. An initial ATP increase started with the first Ca2+ transient at fertilization and then a secondary increase in ATP occurred about 1 hour later and this preceded a small and temporary increase in the frequency of Ca2+ oscillations. Other stimuli that caused Ca2+ oscillations such as PLCz1 or thimerosal, caused smaller or slower changes in ATP that failed to show the distinct secondary rise. Sperm induced Ca2+ oscillations in the egg also triggered changes in fluorescence of NADH which followed the pattern of Ca2+ spikes in a similar pattern to oscillations triggered by PLCz1 or thimerosal. When eggs were loaded with low concentrations of the Ca2+ chelator BAPTA, sperm triggered one small Ca2+ increase, but there were still extra phases of ATP increase that were similar to control fertilized eggs. Singular Ca2+ increases caused by thapsigargin were much less effective in elevating ATP levels. Together these data suggest that the secondary ATP increase at fertilization in mouse eggs is not caused by increases in cytosolic Ca2+. The fertilizing sperm may stimulate ATP production in eggs via both Ca2+ and by another mechanism that is independent of PLCz1 or Ca2+ oscillations