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At least 415 records · Page 23Linked to original sources
PubMed2005

Survey of long terminal repeat retrotransposons of domesticated silkworm (Bombyx mori).

Long terminal retrotransposons are major components of eukaryotic transposable elements. We have surveyed the long terminal repeats (LTR) retrotransposons of domesticated silkworm (Bombyx mori) by mining the data produced by Bombyx mori Genome Sequencing Project. At least 29 separate families of LTR retrotransposons are identified in this survey, comprising of 11.8% of the complete sequence. Families of domesticated silkworm LTR retrotransposons can be mainly classified into three groups: gypsy-like, copia-like, Pao-Bel. Fourteen families identified consist of gypsy-like elements, four families consist of copia-like elements and seven families consist of Pao-Bel elements. In addition to the three groups of LTR retrotransposons, two families of unusual non-coding elements are identified in the genome of this species. Further phylogenetic analysis of RT domain indicates that the elements of B.mori show high diversity and can form different clades in each group. An analysis of sequence variation from different families reveals distinct patterns of variation for the elements belonging to three groups. The analysis of the domesticated silkworm LTR retrotransposons should assist in our understanding of the roles of retroelement in lepidopteron insect genome evolution.

Animals↗
PubMed2002

tRNA maturation in Aquifex aeolicus.

Several tRNAs in the hyperthermophilic bacterium Aquifex aeolicus are encoded in clusters and as part of ribosomal RNA operons, implying the requirement for tRNA processing by ribonuclease P (RNase P). Intriguingly, neither a gene for the RNA nor the protein component of this ubiquitous ribonucleoprotein enzyme has been hitherto identified in the sequenced genome of A. aeolicus, despite extensive data mining. As a result of the present study, primer extension analysis revealed that tRNAs in A. aeolicus possess canonical mature 5' ends; yet we were unable to demonstrate RNase P holoenzyme or RNase P RNA alone activity in A. aeolicus extracts under a variety of reaction conditions utilizing mono- and dimeric ptRNA substrates. Processing of dimeric ptRNA transcripts in extracts of A. aeolicus disclosed at least one endoribonuclease which cleaves in the A/U-rich spacer of the tandem ptRNA, reminiscent of bacterial RNase E-like enzymes.

Bacteria↗
PubMed2002

Pharmacogenomic analysis: correlating molecular substructure classes with microarray gene expression data.

Genomic studies are producing large databases of molecular information on cancers and other cell and tissue types. Hence, we have the opportunity to link these accumulating data to the drug discovery processes. Our previous efforts at 'information-intensive' molecular pharmacology have focused on the relationship between patterns of gene expression and patterns of drug activity. In the present study, we take the process a step further-relating gene expression patterns, not just to the drugs as entities, but to approximately 27,000 substructures and other chemical features within the drugs. This coupling of genomic information with structure-based data mining can be used to identify classes of compounds for which detailed experimental structure-activity studies may be fruitful. Using a systematic substructure analysis coupled with statistical correlations of compound activity with differential gene expression, we have identified two subclasses of quinones whose patterns of activity in the National Cancer Institute's 60-cell line screening panel (NCI-60) correlate strongly with the expression patterns of particular genes: (i) The growth inhibitory patterns of an electron-withdrawing subclass of benzodithiophenedione-containing compounds over the NCI-60 are highly correlated with the expression patterns of Rab7 and other melanoma-specific genes; (ii) the inhibitory patterns of indolonaphthoquinone-containing compounds are highly correlated with the expression patterns of the hematopoietic lineage-specific gene HS1 and other leukemia genes. As illustrated by these proof-of-principle examples, we introduce here a set of conceptual tools and fluent computational methods for projecting directly from gene expression patterns to drug substructures and vice versa. The analysis is presented in terms of the NCI-60 cell lines and microarray-based gene expression patterns, but the concept and methods are broadly applicable to other large-scale pharmacogenomic database sets as well. The approach (SAT for Structure-Activity-Target) provides a systematic way to mine databases for the design of further structure-activity studies, particularly to aid in target and lead identification.

Algorithms↗
PubMed2002

In silico approaches to microarray-based disease classification and gene function discovery.

The automated analysis of transcriptional profiling data promises a wealth of information that may be used to develop a more complete understanding of gene function and interactions. Moreover, it may improve the effectiveness of complex diagnostic tasks. This article discusses important data mining and management techniques to analyse genome-wide expression data. It reviews some of the major discovery goals, methods and applications in a number of biomedical domains. Finally, this paper highlights key problems that need to be approached by a new generation of computational solutions.

Algorithms↗
PubMed2005

Gene sequence signatures revealed by mining the UniGene affiliation network.

BACKGROUND: In the post-genomic era, developing tools to decode biological information from genomic sequences is important. Inspired by affiliation network theory, we investigated gene sequences of two kinds of UniGene clusters (UCs): narrowly expressed transcripts (NETs), whose expression is confined to a few tissues; and prevalently expressed transcripts (PETs) that are expressed in many tissues. RESULTS: We explored the human and the mouse UniGene databases to compare NETs and PETs from different perspectives. We found that NETs were associated with smaller cluster size, shorter sequence length, a lower likelihood of having LocusLink annotations, and lower and more sporadic levels of expression. Significantly, the dinucleotide frequencies of NETs are similar to those of intergenic sequences in the genome, and they differ from those of PETs. We used these differences in dinucleotide frequencies to develop a discriminant analysis model to distinguish PETs from intergenic sequences. CONCLUSIONS: Our results show that most NETs resemble intergenic sequences, casting doubts on the quality of such UniGene clusters. However, we also noted that a fraction of NETs resemble PETs in terms of dinucleotide frequencies and other features. Such NETs may have fewer quality problems. This work may be helpful in the studies of non-coding RNAs and in the validation of gene sequence databases.

Animals↗
PubMed2006

A suite of algorithms for the comprehensive analysis of complex protein mixtures using high-resolution LC-MS.

MOTIVATION: Comparing two or more complex protein mixtures using liquid chromatography mass spectrometry (LC-MS) requires multiple analysis steps to locate and quantitate natural peptides within a single experiment and to align and normalize findings across multiple experiments. RESULTS: We describe msInspect, an open-source application comprising algorithms and visualization tools for the analysis of multiple LC-MS experimental measurements. The platform integrates novel algorithms for detecting signatures of natural peptides within a single LC-MS measurement and combines multiple experimental measurements into a peptide array, which may then be mined using analysis tools traditionally applied to genomic array analysis. The platform supports quantitation by both label-free and isotopic labeling approaches. The software implementation has been designed so that many key components may be easily replaced, making it useful as a workbench for integrating other novel algorithms developed by a growing research community. AVAILABILITY: The msInspect software is distributed freely under an Apache 2.0 license. The software as well as a Zip file with all peptide feature files and scripts needed to generate the tables and figures in this article are available at http://proteomics.fhcrc.org/.

Algorithms↗
PubMed2006

Molecular and functional diversity of maize.

Over the past 10,000 years, man has used the rich genetic diversity of the maize genome as the raw material for domestication and subsequent crop improvement. Recent research efforts have made tremendous strides toward characterizing this diversity: structural diversity appears to be largely mediated by helitron transposable elements, patterns of diversity are yielding insights into the number and type of genes involved in maize domestication and improvement, and functional diversity experiments are leading to allele mining for future crop improvement. The development of genome sequence and germplasm resources are likely to further accelerate this progress.

Genetic Variation↗
PubMed2001

The Comprehensive Microbial Resource.

One challenge presented by large-scale genome sequencing efforts is effective display of uniform information to the scientific community. The Comprehensive Microbial Resource (CMR) contains robust annotation of all complete microbial genomes and allows for a wide variety of data retrievals. The bacterial information has been placed on the Web at http://www.tigr.org/CMR for retrieval using standard web browsing technology. Retrievals can be based on protein properties such as molecular weight or hydrophobicity, GC-content, functional role assignments and taxonomy. The CMR also has special web-based tools to allow data mining using pre-run homology searches, whole genome dot-plots, batch downloading and traversal across genomes using a variety of datatypes.

Bacteria↗
PubMed2006

Identification of Heterodera glycines (soybean cyst nematode [SCN]) cDNA sequences with high identity to those of Caenorhabditis elegans having lethal mutant or RNAi phenotypes.

The soybean cyst nematode (SCN; Heterodera glycines) is a devastating obligate parasite of Glycine max (soybean) causing one billion dollars in losses to the US economy per year and over ten billion dollars in losses worldwide. While much is understood about the pathology of H. glycines, its genome sequence is not well characterized or fully sequenced. We sought to create bioinformatic tools to mine the H. glycines nucleotide database. One way is to use a comparative genomics approach by anchoring our analysis with an organism, like the free-living nematode Caenorhabditis elegans. Unlike H. glycines, the C. elegans genome is fully sequenced and is well characterized with a number of lethal genes identified through experimental methods. We compared an EST database of H. glycines with the C. elegans genome. Our goal was identifying genes that may be essential for H. glycines survival and would serve as an automated pipeline for RNAi studies to both study and control H. glycines. Our analysis yielded a total of nearly 8334 conserved genes between H. glycines and C. elegans. Of these, 1508 have lethal phenotypes/phenocopies in C. elegans. RNAi of a conserved ribosomal gene from H. glycines (Hg-rps-23) yielded dead and dying worms as shown by positive Sytox fluorescence. Endogenous Hg-rps-23 exhibited typical RNA silencing as shown by RT-PCR. However, an unrelated gene Hg-unc-87 did not exhibit RNA silencing in the Hg-rps-23 dsRNA-treated worms, demonstrating the specificity of the silencing.

Animals↗
PubMed2026

Mining of CtOPR2 as an essential gene regulating jasmonic acid mediated insect tolerance in Camellia tachangensis through genome-wide association studies.

Jasmonic acid (JA), a pivotal lipid-derived phytohormone, serves as a critical regulator in plant growth and defense mechanisms. However, the genetic mechanisms of OPR2 gene in JA-dependent biotic defenses of Camellia tachangensis have rarely been investigated. In this study, we performed a genome-wide association study to analyze 100,720 high-quality single nucleotide polymorphisms (SNPs) among 350 tea accessions from Guizhou province to identify genetic variations associated with JA. Analysis showed C. tachangensis displayed higher levels of JA content, further analysis identified 60 high-quality SNPs and nine candidate genes related to JA. Among them, CtOPR2 encoding 12-oxophytodienoic acid reductase 2 is responsible for catalyzing the conversion of 4,5-didehydro-JA (4,5-ddh-JA) to JA. The expression level of CtOPR2 in three tea accessions with different JA content was consistent with the dynamic changes of JA content. The expression level of synthetic (AOS, AOC, and ACX) and responsive (WRKY18 and MYC2) genes were significantly decreased and increased in asODN-CtOPR2-treated shoot tips and transgenic tobacco lines overexpressing CtOPR2, respectively, which were consistent with the JA content. These results further revealed that CtOPR2 gene played essential roles in promoting JA biosynthesis. A significant reduction in insect bite area was observed on transgenic tobacco leaves compared to wild-type leaves in feeding experiments with Spodoptera litura, highlighting that the positive regulatory function of CtOPR2 gene in JA-mediated immune responses. This study provides a robust theoretical foundation for marker-assisted selection breeding in tea, aimed at developing high-JA germplasm with potentially enhanced pest resistance for cultivation in Guizhou.

Journal Article↗
PubMed2006

A comprehensive catalog of human KRAB-associated zinc finger genes: insights into the evolutionary history of a large family of transcriptional repressors.

Krüppel-type zinc finger (ZNF) motifs are prevalent components of transcription factor proteins in all eukaryotes. KRAB-ZNF proteins, in which a potent repressor domain is attached to a tandem array of DNA-binding zinc-finger motifs, are specific to tetrapod vertebrates and represent the largest class of ZNF proteins in mammals. To define the full repertoire of human KRAB-ZNF proteins, we searched the genome sequence for key motifs and then constructed and manually curated gene models incorporating those sequences. The resulting gene catalog contains 423 KRAB-ZNF protein-coding loci, yielding alternative transcripts that altogether predict at least 742 structurally distinct proteins. Active rounds of segmental duplication, involving single genes or larger regions and including both tandem and distributed duplication events, have driven the expansion of this mammalian gene family. Comparisons between the human genes and ZNF loci mined from the draft mouse, dog, and chimpanzee genomes not only identified 103 KRAB-ZNF genes that are conserved in mammals but also highlighted a substantial level of lineage-specific change; at least 136 KRAB-ZNF coding genes are primate specific, including many recent duplicates. KRAB-ZNF genes are widely expressed and clustered genes are typically not coregulated, indicating that paralogs have evolved to fill roles in many different biological processes. To facilitate further study, we have developed a Web-based public resource with access to gene models, sequences, and other data, including visualization tools to provide genomic context and interaction with other public data sets.

Computational Biology↗
PubMed2000

The complexities of genome analysis, the Retroid agent perspective.

MOTIVATION: The sequences of Retroid agents from a wide diversity of organisms constitute the largest set of complete genomes currently available for the study of genomic architecture and the transfer of information within and between organisms. These agents are ubiquitous in Eukaryotes, comprising 50-90% of the genomic information in some cases. RESULTS: Analyses conducted for over a decade illustrate that Retroid agents are engaged in a wide spectrum of molecular evolutionary events. A description of these complexities is presented as a three parameter conceptual framework that considers type, size, and mechanism of events that contribute to the evolution of genes, genomes, and organisms. The results of new data mining studies further illustrate the complexity of the network of relationships among and between Retroid agents and other organisms. A hidden Markov model construction strategy is presented that generates a multiple alignment more similar to those refined by human experts. CONTACT: mars@parvati.msu.montana. edu

Animals↗
PubMed2005

Genome-directed isolation of the key nitrogen fixer Leptospirillum ferrodiazotrophum sp. nov. from an acidophilic microbial community.

Analysis of assembled random shotgun sequence data from a low-diversity, subsurface acid mine drainage (AMD) biofilm revealed a single nif operon. This was found on a genome fragment belonging to a member of Leptospirillum group III, a lineage in the Nitrospirae phylum with no cultivated representatives. Based on the prediction that this organism is solely responsible for nitrogen fixation in the community, we pursued a selective isolation strategy to obtain the organism in pure culture. An AMD biofilm sample naturally abundant in Leptospirillum group III cells was homogenized, filtered, and serially diluted into a nitrogen-free liquid medium. The resulting culture in the terminal dilution grew autotrophically to a maximum cell density of approximately 10(6) cells/ml, oxidizing ferrous iron as the sole energy source. 16S rRNA-internal transcribed spacer region clone library analysis confirmed that the isolate is a member of Leptospirillum group III and that the culture is axenic. We propose the name Leptospirillum ferrodiazotrophum sp. nov. for this iron-oxidizing, free-living diazotroph. This study highlights how environmental sequence data can provide insights for culturing previously uncultured microorganisms.

Bacteria↗
PubMed2005

AU-rich transient response transcripts in the human genome: expressed sequence tag clustering and gene discovery approach.

Transient response genes regulate critical biological responses that include cell proliferation, signal transduction events, and responses to exogenous agents such as inflammatory stimuli, microbes, and radiation. An important feature that ensures a timely response is the short half-life of the messenger RNA (mRNA), which is thought to be predominantly mediated by adenylate uridylate-rich sequence elements (AREs) in the 3' untranslated region (3' UTR). The repertoire and extent of transient response genes in the human genome are not known. We used a computational approach to delineate those genes that code for transient ARE mRNAs. We utilized a 3' UTR-specific ARE motif to retrieve and cluster 3'-end ESTs using a refined extraction protocol. With the availability of the entire human genome, we were able to utilize ARE EST clusters for further mining and computational prediction of ARE genes. The described approaches led to the finding of more than 1500 ARE genes in the human genome. In particular, "hidden" ARE mRNAs and alternative forms due to 3'UTR completeness, variant polyadenylation, and splicing were uncovered.

3' Untranslated Regions↗
PubMed2004

High-throughput RNAi in Caenorhabditis elegans: genome-wide screens and functional genomics.

The phenomenon of RNA-mediated interference (RNAi) was first discovered in the nematode Caenorhabditis elegans, in which introduction of double-stranded RNA causes specific inactivation of genes with corresponding sequences. Technical advances in RNAi methodology and the availability of the complete genome sequence have enabled the high-throughput, genome-wide RNAi analysis of this organism. Several groups have used large-scale RNAi to systematically examine every C. elegans gene for knock-down phenotypes, providing basal information to be mined in more detailed studies. Now, in addition to functional genomic RNAi analyses, high-throughput RNAi is also routinely used for rapid, genome-wide screens for genes involved in specific biological processes. The integration of high-throughput RNAi experiments with other large-scale data, such as DNA microarrays and protein-protein interaction maps, enhances the speed and reliability of such screens. The accumulation of RNAi phenotype data dramatically accelerates our understanding of this organism at the genetic level.

Animals↗
PubMed2000

Genomics. University company to exploit heart data.

This month, Boston University, which directs the Framingham Heart Study, a massive government effort begun in 1948 to monitor the cardiovascular health of more than 10,000 residents of this suburb of Boston, announced plans to form a bioinformatics company that will mine the data. The university will own 20% of Framingham Genomic Medicine Inc., which hopes to raise $21 million to begin modernizing the immense database and packaging it in a format that will be valuable to the pharmaceutical industry. The plan raises a host of difficult ethical issues, including patient privacy, academic conflicts of interest, and reciprocal value to the Framingham residents whose medical data will form the basis for the new enterprise.

Bioethics↗
PubMed2005

Differentiation of regions with atypical oligonucleotide composition in bacterial genomes.

BACKGROUND: Complete sequencing of bacterial genomes has become a common technique of present day microbiology. Thereafter, data mining in the complete sequence is an essential step. New in silico methods are needed that rapidly identify the major features of genome organization and facilitate the prediction of the functional class of ORFs. We tested the usefulness of local oligonucleotide usage (OU) patterns to recognize and differentiate types of atypical oligonucleotide composition in DNA sequences of bacterial genomes. RESULTS: A total of 163 bacterial genomes of eubacteria and archaea published in the NCBI database were analyzed. Local OU patterns exhibit substantial intrachromosomal variation in bacteria. Loci with alternative OU patterns were parts of horizontally acquired gene islands or ancient regions such as genes for ribosomal proteins and RNAs. OU statistical parameters, such as local pattern deviation (D), pattern skew (PS) and OU variance (OUV) enabled the detection and visualization of gene islands of different functional classes. CONCLUSION: A set of approaches has been designed for the statistical analysis of nucleotide sequences of bacterial genomes. These methods are useful for the visualization and differentiation of regions with atypical oligonucleotide composition prior to or accompanying gene annotation.

DNA, Bacterial↗
PubMed2003

ASAP: the Alternative Splicing Annotation Project.

Recently, genomics analyses have demonstrated that alternative splicing is widespread in mammalian genomes (30-60% of genes reported to have multiple isoforms), and may be one of their most important mechanisms of functional regulation. However, by comparison with other genomics data such as genome annotation, SNPs, or gene expression, there exists relatively little database infrastructure for the study of alternative splicing. We have constructed an online database ASAP (the Alternative Splicing Annotation Project) for biologists to access and mine the enormous wealth of alternative splicing information coming from genomics and proteomics. ASAP is based on genome-wide analyses of alternative splicing in human (30 793 alternative splice relationships found) from detailed alignment of expressed sequences onto the genomic sequence. ASAP provides precise gene exon-intron structure, alternative splicing, tissue specificity of alternative splice forms, and protein isoform sequences resulting from alternative splicing. Moreover, it can help biologists design probe sequences for distinguishing specific mRNA isoforms. ASAP is intended to be a community resource for collaborative annotation of alternative splice forms, their regulation, and biological functions. The URL for ASAP is http://www.bioinformatics.ucla.edu/ASAP.

Alternative Splicing↗