MicroRNAs (miRNAs) bind to Argonaute proteins, and together they form the RISC complex and regulate target mRNA translation and/or stability. Identification of mRNA targets is key to deciphering the physiological functions and mode of action of miRNAs. In mammals, miRNAs are generally poorly homologous to their target sequence, and target identification cannot be based solely on bioinformatics. Here, we describe a biochemical approach, based on tandem affinity purification, in which mRNA/miRNA complexes are sequentially pulled down, first via the Argonaute moiety and then via the miRNA. Our lsquo;TAP-Tarrsquo; procedure allows the specific pull down of mRNA targets of miRNA. It is useful for validation of targets predicted in silico, and, potentially, for discovery of previously uncharac…

Conclusions: Comparative genomic salivary analyses provide robust, comprehensive, real-time information regarding nearly all organs and tissues in the developing preterm infant. This innovative and noninvasive technique represents a new approach for monitoring health, disease, and development in this vulnerable patient population. By comparing these data in healthy infants with data from infants who develop medical complications, we expect to identify new biomarkers that will ultimately improve newborn care. (Source: Clinical Chemistry)

In this study, we detected new sequence variations in LAMA2 and SGCG genes in 5 ethnic populations, and analysed their effect on enhancer composition and mRNA structure. PCR amplification and DNA sequencing were performed and followed by bioinformatics analyses using ESEfinder as well as MFOLD software. We found 3 novel sequence variations in the LAMA2 (c.3174+22_23insAT and c.6085 +12delA) and SGCG (c.*102A/C) genes. These variations were present in 210 tested healthy controls from Tunisian, Moroccan, Algerian, Lebanese and French populations suggesting that they represent novel polymorphisms within LAMA2 and SGCG genes sequences. ESEfinder showed that the c.*102A/C substitution created a new exon splicing enhancer in the 3′UTR of SGCG genes, whereas the c.6085 +12delA deletion was situat…

Metagenomics is a discipline that enables the genomic study of uncultured microorganisms. Faster, cheaper sequencing technologies and the ability to sequence uncultured microbes sampled directly from their habitats are expanding and transforming our view of the microbial world. Distilling meaningful information from the millions of new genomic sequences presents a serious challenge to bioinformaticians. In cultured microbes, the genomic data come from a single clone, making sequence assembly and annotation tractable. In metagenomics, the data come from heterogeneous microbial communities, sometimes containing more than 10,000 species, with the sequence data being noisy and partial. From sampling, to assembly, to gene calling and function prediction, bioinformatics faces new demands in inte…

Conclusions:
We addressed the genic interaction problem with various dependency kernels and suggested various structural kernel scenarios based on the directed shortest dependency path connecting two entities. Consequently, we obtained promising results over genic interaction data sets with the walk-weighted subsequence kernel. The results are compared using automatically parsed third party protein-protein interaction (PPI) data as well as perfectly syntactic labeled PPI data. (Source: BioMed Central)

The explosion of genetic information from recent advances in sequencing technologies, bioinformatics and genomics highlights the importance of understanding mechanisms involved in gene expression and regulation. Over the last decade, it has become clear that small ribonucleic acids (RNAs) are a central component of the cellular gene regulatory network. MicroRNAs (miRNAs) are a family of endogenous, small, noncoding single-stranded RNA of [sim]22 nucleotides in length that act as posttranscriptional gene regulatory elements. MicroRNAs can inhibit de novo protein synthesis by blocking translation through base-pairing with complementary messenger RNA (mRNA) and also suppress translation by promoting degradation of target mRNA. MicroRNAs are intimately involved in a variety of biologic process…

Conclusions:
Using SplicerAV, we identified several hundred previously uncharacterized isoform changes induced by in vitro oncogene over-expression and revealed a previously unknown mechanism of EGFR activation in human mammary epithelial cells. We analyzed Affymetrix GeneChip data from over 400 human breast tumors in three independent studies, making this the largest clinical dataset analyzed for en masse changes in alternative mRNA processing. The capacity to detect RNA isoform changes in archival microarray data using SplicerAV allowed us to carry out the first analysis of isoform specific mRNA changes directly associated with cancer survival. (Source: BMC Bioinformatics – Latest articles)

Human hepatitis delta virus (HDV) is the smallest RNA virus in genome. HDV genome is divided into a viroid-like sequence and a protein-coding sequence which could have originated from different resources and the HDV genome was eventually constituted through RNA recombination. The genome subsequently diversified through accumulation of mutations selected by interactions between the mutated RNA and proteins with host factors to successfully form the infectious virions. Therefore, we propose that the conservation of HDV nucleotide sequence is highly related with its functionality. Genome analysis of known HDV isolates shows that the C-terminal coding sequences of large delta antigen (LDAg) are the highest diversity than other regions of protein-coding sequences but they still retain biologica…div id=medwormpbiMedWorm Message:/i/b Get the very latest Swine Flu news via the MedWorm ba href=http://www.medworm.com/rss/search.php?qu=%2Bswine+%2B%28influenza+flu%29t=Swine+Fluf=infectiousdiseasesr=Anyo=d target =_selfSwine Flu RSS news feed/a/b – updated hourly from thousands of authoritative health and news sources./p/div

Motivation: Computer Aided Identification systems provide users with the resources to relate morpho-anatomic observations with taxa names and to subsequently access other knowledge about the organisms. They have the ability to manage descriptive data and make identifications through interactive keys. They are essential for both authors and users of biodiversity information. Xper2 version 2.0 is one of the most user-friendly tools in its category and provides a complete environment dedicated to taxonomic management.
Availability: Xper2 software can be freely downloaded at http://lis-upmc.snv.jussieu.fr/lis/?q=en/resources/softwares/xper2
Contact: visotheary.riviere-ung@snv.jussieu.fr (Source: Bioinformatics)

Motivation: Many analyses in modern biological research are based on comparisons between biological sequences, resulting in functional, evolutionary and structural inferences. When large numbers of sequences are compared, heuristics are often used resulting in a certain lack of accuracy. In order to improve and validate results of such comparisons, we have performed radical all-against-all comparisons of 4 million protein sequences belonging to the RefSeq database, using an implementation of the Smithndash;Waterman algorithm. This extremely intensive computational approach was made possible with the help of World Community GridTM, through the Genome Comparison Project. The resulting database, ProteinWorldDB, which contains coordinates of pairwise protein alignments and their respective sc…