1,720,987 research outputs found
Computational approaches for cancer-fighting: From gene expression to functional foods
No full textIt is today widely accepted that a healthy diet is very useful to prevent the risk for cancer or its deleterious effects. Nutrigenomics studies are therefore taking place with the aim to test the effects of nutrients at molecular level and contribute to the search for anti-cancer treatments. These efforts are expanding the precious source of information necessary for the selection of natural compounds useful for the design of novel drugs or functional foods. Here we present a computational study to select new candidate compounds that could play a role in cancer prevention and care. Starting from a dataset of genes that are co-expressed in programmed cell death experiments, we investigated on nutrigenomics treatments inducing apoptosis, and searched for compounds that determine the same expression pattern. Subsequently, we selected cancer types where the genes showed an opposite expression pattern and we confirmed that the apoptotic/nutrigenomics expression trend had a significant positive survival in cancer-affected patients. Furthermore, we considered the functional interactors of the genes as defined by public protein-protein interaction data, and inferred on their involvement in cancers and/or in programmed cell death. We identified 7 genes and, from available nutrigenomics experiments, 6 compounds effective on their expression. These 6 compounds were exploited to identify, by ligand-based virtual screening, additional molecules with similar structure. We checked for ADME criteria and selected 23 natural compounds representing suitable candidates for further testing their efficacy in apoptosis induction. Due to their presence in natural resources, novel drugs and/or the design of functional foods are conceivable from the presented results
Insights into the genome structure of four acetogenic bacteria with specific reference to the Wood–Ljungdahl pathway
No full textAcetogenic bacteria are obligate anaerobes with the ability of converting carbon dioxide and other one-carbon substrates into acetate through the Wood–Ljungdahl (WL) pathway. These substrates are becoming increasingly important feedstock in industrial microbiology. The main potential industrial application of acetogenic bacteria is the production of metabolites that constitute renewable energy sources (biofuel); such bacteria are of particular interest for this purpose thanks to their low energy requirements for large-scale cultivation. Here, we report new genome sequences for four species, three of them are reported for the first time, namely Acetobacterium paludosum DSM 8237, Acetobacterium tundrae DSM 917, Acetobacterium bakii DSM 8239, and Alkalibaculum bacchi DSM 221123. We performed a comparative genomic analysis focused on the WL pathway's genes and their encoded proteins, using Acetobacterium woodii as a reference genome. The Average Nucleotide Identity (ANI) values ranged from 70% to 95% over an alignment length of 5.4–6.5 Mbp. The core genome consisted of 363 genes, whereas the number of unique genes in a single genome ranged from 486 in A. tundrae to 2360 in A.bacchi. No significant rearrangements were detected in the gene order for the Wood–Ljungdahl pathway however, two species showed variations in genes involved in formate metabolism: A. paludosum harbor two copies of fhs1, and A. bakii a truncated fdhF1. The analysis of protein networks highlighted the expansion of protein orthologues in A. woodii compared to A. bacchi, whereas protein networks involved in the WL pathway were more conserved. This study has increased our understanding on the evolution of the WL pathway in acetogenic bacteria
Bioinformatics resources for plant abiotic stress responses: State of the art and opportunities in the fast evolving-omics era
Full text linkAbiotic stresses are among the principal limiting factors for productivity in agriculture. In the current era of continuous climate changes, the understanding of the molecular aspects involved in abiotic stress response in plants is a priority. The rise of-omics approaches provides key strategies to promote effective research in the field, facilitating the investigations from reference models to an increasing number of species, tolerant and sensitive genotypes. Integrated multilevel approaches, based on molecular investigations at genomics, transcriptomics, proteomics and metabolomics levels, are now feasible, expanding the opportunities to clarify key molecular aspects involved in responses to abiotic stresses. To this aim, bioinformatics has become fundamental for data production, mining and integration, and necessary for extracting valuable information and for comparative efforts, paving the way to the modeling of the involved processes. We provide here an overview of bioinformatics resources for research on plant abiotic stresses, describing collections from-omics efforts in the field, ranging from raw data to complete databases or platforms, highlighting opportunities and still open challenges in abiotic stress research based on-omics technologies
MODELING MOLECULAR PATHWAYS BASED ON GENE EXPRESSION AND SOCIAL NETWORK ANALYSES: AN EXAMPLE FROM ARABIDOPSIS THALIANA
Full text linkAlthough the functional complexity of biological systems still requires suitable platforms and dedicated analyses to unravel details on the involved components and on mechanisms for their regulation and control, the design of synthetic bio-models able to reproduce useful functionalities is now becoming concrete. To this end, however, exploiting resources from complex organisms is still a challenge. As an example, the whole genome sequence of Arabidopsis thaliana in 2000 revealed that, despite the suitability of this organism as a model for plant biology, its small diploid genome showed an unexpected complexity in terms of intragenome duplications. This may complicate the identification of key genes involved in a functional network among the many variants the whole genome encodes. Moreover, although the role of Arabidopsis as a reference in plant biology and its manifold related resources, the lack of a fulfilled gene annotation and of exhaustive technological platforms still weakens the identification of all the partners in a molecular pathway.
We considered the gene expression values from microarray results on Arabidopsis tissues collected in the AtGenExpress Project Atlas at the NASC website (http://affymetrix.arabidopsis.info/narrays/experimentbrowse.pl), filtering out the experiments in physiological conditions. Pearson correlation tests permitted to define global gene correlations highlighting that i) about 83% of the genes have at least one correlation with another gene and that ii) inverse correlations are less frequent than direct ones.
In order to identify among correlated genes those depicting specific functional networks we applied a novel approach. This latter, based on social network analyses, investigates on relationships among genes in terms of the network theory. Gene networks can be filtered out on the base of the number of direct correlations shared among genes that belong to a cluster of correlated ones. Suitable thresholds in the applied methodology, together with gene family analyses and annotation clues, highlighted upscale gene associations, which provide further insights to improve the accuracy of network descriptions.
Our preliminary results underline the strong need of these approaches to identify the effective components of a functional pathway
The Role of DNA in the Extracellular Environment: A Focus on NETs, RETs and Biofilms
Full text linkThe capacity to actively release genetic material into the extracellular environment has been reported for bacteria, archaea, fungi, and in general, for microbial communities, but it is also described in the context of multicellular organisms, animals and plants. This material is often present in matrices that locate outside the cells. Extracellular matrices have important roles in defense response and disease in microbes, animal and plants cells, appearing as barrier against pathogen invasion or for their recognition. Specifically, neutrophils extracellular traps (NETs) in animals and root extracellular traps (RETs) in plants, are recognized to be important players in immunity. A growing amount of evidence revealed that the extracellular DNA, in these contexts, plays an active role in the defense action. Moreover, the protective role of extracellular DNA against antimicrobials and mechanical stress also appears to be confirmed in bacterial biofilms. In parallel, recent efforts highlighted different roles of self (homologous) and non-self (heterologous) extracellular DNA, paving the way to discussions on its role as a “Damage-associated molecular pattern” (DAMP). We here provide an evolutionary overview on extracellular DNA in extracellular matrices like RETs, NETs, and microbial biofilms, discussing on its roles and inferring on possible novel functionalities
Organization and nucleotide sequence of the cluster of five histone genes in the polichaete worm Chaetopterus variopedatus: First record of a H1 histone gene in the phylum Annelida
No full textHistone genes were identified and their nucleotide sequences were determined in the polychaete marine worm Chaetopterus variopedatus. The genes are organized in about 390 clusters of 7.3 kbp. Each cluster contains one copy of the five histone genes. The H1 histone gene present in the clusters is the first ever isolated in the phylum Annelida. The cluster has the unique peculiarity that all genes contain both the replication-dependent and the replication-independent 3' mRNA termination signals. Despite the differences in cluster organization and transcription polarity of the individual histone genes between C. variopedatus and Platynereis dumerilii, the other annelid in which histone genes have been studied, phylogenetic analysis of the encoded amino acid sequences clearly groups together those two organisms in a tree in which the other studied worms find closely related positions on the same evolutionary branch
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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