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At least 613 records · Page 34Linked to original sources

Comparative analysis of the PCOLCE region in Fugu rubripes using a new automated annotation tool.

The Japanese pufferfish Fugu rubripes with a genome of about 400 Mb is becoming increasingly recognized as a vertebrate model organism for comparative gene analysis (see Elgar 1996 for review). We have isolated and sequenced two Fugu cosmids spanning a genomic region of 66 kb containing the Fugu homolog to the human PCOLCE-I (Glöckner et al. 1998). We then examined if RUMMAGE-DP, a newly developed analysis tool for gene discovery which was designed for human and mouse genomic DNA, can be used for automatic annotation of Fugu genomic sequence. The exon prediction programs contained in RUMMAGE-DP performed better overall for the human sequence than for the Fugu contig. The GENSCAN program was the only exon prediction programme that performed equally well for both organisms. We show that RUMMAGE-DP is very useful in automatic analysis of Fugu sequences. Comparative analysis of the genomic structure of the PCOLCE-I genes in Fugu and human reveals that the exon/intron structure throughout the protein coding region is almost identical. We defined an additional domain based on the high degree of similarity of 26 aa between mammals and Fugu. The PCOLCE-I protein in both organisms contains two highly conserved CUB domains. Exons 6 and 7 are the only coding exons that differ in length between the two species. We assume that these exons do not code for any catalytic domain of the protein. Analysis of the remaining five Fugu genes within the 66 kb interval revealed no conserved synteny with the corresponding human 7q22 region.

Amino Acid Sequence↗

Image annotation with Adobe Photoshop.

The authors relate the basic steps used to annotate grayscale cross sectional images with keyboard characters, arrowheads, and arrows using Adobe Photoshop 6.0 and 7.0.

Humans↗

Applications of DNA tiling arrays to experimental genome annotation and regulatory pathway discovery.

Microarrays have become a popular and important technology for surveying global patterns in gene expression and regulation. A number of innovative experiments have extended microarray applications beyond the measurement of mRNA expression levels, in order to uncover aspects of large-scale chromosome function and dynamics. This has been made possible due to the recent development of tiling arrays, where all non-repetitive DNA comprising a chromosome or locus is represented at various sequence resolutions. Since tiling arrays are designed to contain the entire DNA sequence without prior consultation of existing gene annotation, they enable the discovery of novel transcribed sequences and regulatory elements through the unbiased interrogation of genomic loci. The implementation of such methods for the global analysis of large eukaryotic genomes presents significant technical challenges. Nonetheless, tiling arrays are expected to become instrumental for the genome-wide identification and characterization of functional elements. Combined with computational methods to relate these data and map the complex interactions of transcriptional regulators, tiling array experiments can provide insight toward a more comprehensive understanding of fundamental molecular and cellular processes.

Gene Expression Profiling↗

An annotated interview with Giuseppe Moruzzi, 1910-1986. Interview by Louise M. Marshall.

Utilizing three modes of information exchange, this "annotated autobiography" presents in perspective a picture of an eminent neuroscientist of the 20th century. The reminiscences of Guiseppe Moruzzi, Director of the Institute of Physiology of the University of Pisa for more than thirty years, were combined with contemporary tributes, a review of his major published work, and comments of friends and associates. Such a three-dimensional view of a scientific career illustrates the possibilities of "the medium is the message."

Belgium↗

Assessing the quality of randomized controlled trials: an annotated bibliography of scales and checklists.

Assessing the quality of randomized controlled trials (RCTs) is important and relatively new. Quality gives us an estimate of the likelihood that the results are a valid estimate of the truth. We present an annotated bibliography of scales and checklists developed to assess quality. Twenty-five scales and nine checklists have been developed to assess quality. The checklists are most useful in providing investigators with guidelines as to what information should be included in reporting RCTs. The scales give readers a quantitative index of the likelihood that the reported methodology and results are free of bias. There are several shortcomings with these scales. Future scale development is likely to be most beneficial if questions common to all trials are assessed, if the scale is easy to use, and if it is developed with sufficient rigor.

Bias↗

Evaluation of lung MDCT nodule annotation across radiologists and methods.

RATIONALE AND OBJECTIVES: Integral to the mission of the National Institutes of Health-sponsored Lung Imaging Database Consortium is the accurate definition of the spatial location of pulmonary nodules. Because the majority of small lung nodules are not resected, a reference standard from histopathology is generally unavailable. Thus assessing the source of variability in defining the spatial location of lung nodules by expert radiologists using different software tools as an alternative form of truth is necessary. MATERIALS AND METHODS: The relative differences in performance of six radiologists each applying three annotation methods to the task of defining the spatial extent of 23 different lung nodules were evaluated. The variability of radiologists' spatial definitions for a nodule was measured using both volumes and probability maps (p-map). Results were analyzed using a linear mixed-effects model that included nested random effects. RESULTS: Across the combination of all nodules, volume and p-map model parameters were found to be significant at P < .05 for all methods, all radiologists, and all second-order interactions except one. The radiologist and methods variables accounted for 15% and 3.5% of the total p-map variance, respectively, and 40.4% and 31.1% of the total volume variance, respectively. CONCLUSION: Radiologists represent the major source of variance as compared with drawing tools independent of drawing metric used. Although the random noise component is larger for the p-map analysis than for volume estimation, the p-map analysis appears to have more power to detect differences in radiologist-method combinations. The standard deviation of the volume measurement task appears to be proportional to nodule volume.

Artificial Intelligence↗

Annotation of androgen dependence to human prostate cancer-associated genes by microarray analysis of mouse prostate.

In silico methods and array technologies have identified genes differentially expressed in prostate cancer. Biological functions of the identified genes are often unclear. Considering the biological significance of androgens in prostate cancer, we profiled the prostate transcripts of congenital androgen-deficient mice with or without androgen replacement in vivo using murine gene expression array. In parallel genes differentially expressed in human prostate cancer were identified by Digital Differential Display and the Serial Analysis of Gene Expression. Androgen dependence of the identified genes was then determined by the steady-state mRNA levels of the murine orthologs in response to androgen treatment. The annotation is supported by the finding that some of the androgen target genes have been reported previously with independent experiments.

Androgens↗

Structural proteomics: a tool for genome annotation.

In any newly sequenced genome, 30% to 50% of genes encode proteins with unknown molecular or cellular function. Fortunately, structural genomics is emerging as a powerful approach of functional annotation. Because of recent developments in high-throughput technologies, ongoing structural genomics projects are generating new structures at an unprecedented rate. In the past year, structural studies have identified many new structural motifs involved in enzymatic catalysis or in binding ligands or other macromolecules (DNA, RNA, protein). The efficiency by which function is deduced from structure can be further improved by the integration of structure with bioinformatics and other experimental approaches, such as screening for enzymatic activity or ligand binding.

DNA↗

An enzyme that regulates ether lipid signaling pathways in cancer annotated by multidimensional profiling.

Hundreds, if not thousands, of uncharacterized enzymes currently populate the human proteome. Assembly of these proteins into the metabolic and signaling pathways that govern cell physiology and pathology constitutes a grand experimental challenge. Here, we address this problem by using a multidimensional profiling strategy that combines activity-based proteomics and metabolomics. This approach determined that KIAA1363, an uncharacterized enzyme highly elevated in aggressive cancer cells, serves as a central node in an ether lipid signaling network that bridges platelet-activating factor and lysophosphatidic acid. Biochemical studies confirmed that KIAA1363 regulates this pathway by hydrolyzing the metabolic intermediate 2-acetyl monoalkylglycerol. Inactivation of KIAA1363 disrupted ether lipid metabolism in cancer cells and impaired cell migration and tumor growth in vivo. The integrated molecular profiling method described herein should facilitate the functional annotation of metabolic enzymes in any living system.

Carbamates↗

Protein variety and functional diversity: Swiss-Prot annotation in its biological context.

We all know that the dogma 'one gene, one protein' is obsolete. A functional protein and, likewise, a protein's ultimate function depend not only on the underlying genetic information but also on the ongoing conditions of the cellular system. Frequently the transcript, like the polypeptide, is processed in multiple ways, but only one or a few out of a multitude of possible variants are produced at a time. An overview on processes that can lead to sequence variety and structural diversity in eukaryotes is given. The UniProtKB/Swiss-Prot protein knowledgebase provides a wealth of information regarding protein variety, function and associated disorders. Examples for such annotation are shown and further ones are available at http://www.expasy.org/sprot/tutorial/examples_CRB.

Amino Acid Sequence↗

Comparative sequence analysis of Sordaria macrospora and Neurospora crassa as a means to improve genome annotation.

One of the most challenging parts of large scale sequencing projects is the identification of functional elements encoded in a genome. Recently, studies of genomes of up to six different Saccharomyces species have demonstrated that a comparative analysis of genome sequences from closely related species is a powerful approach to identify open reading frames and other functional regions within genomes [Science 301 (2003) 71, Nature 423 (2003) 241]. Here, we present a comparison of selected sequences from Sordaria macrospora to their corresponding Neurospora crassa orthologous regions. Our analysis indicates that due to the high degree of sequence similarity and conservation of overall genomic organization, S. macrospora sequence information can be used to simplify the annotation of the N. crassa genome.

Base Sequence↗

Annotation, nomenclature and evolution of four novel homeobox genes expressed in the human germ line.

The homeobox genes comprise a large gene superfamily characterised by a conserved DNA motif encoding the homeodomain. Most homeodomain proteins function as transcription factors, and many have important roles in embryonic development and cell differentiation. Here we describe, annotate and name four novel homeobox genes in the human genome: ARGFX, DPRX, TPRX1 and DUXA. Each has generated multiple retrotransposed (processed) pseudogenes; these are reliable indicators of germ-line expression because only in germ-line cells can retrotransposition result in inheritance to the next generation. The retrotransposed sequences were exploited here as a novel means to deduce exon-intron boundaries. All four novel genes show accelerated rates of protein sequence evolution. This fast rate of sequence change may be connected with roles in human reproductive biology. Deducing the evolutionary origins of these genes is not straightforward, but we propose that TPRX1, DPRX and DUXA are highly divergent derivatives of the CRX gene, itself a member of the Otx homeobox gene family.

Evolution, Molecular↗

Annotated expressed sequence tags for studies of the regulation of reproductive modes in aphids.

The damaging effect of aphids to crops is largely determined by the spectacular rate of increase of populational expansion due to their parthenogenetic generations. Despite this, the molecular processes triggering the transition between the parthenogenetic and sexual phases between their annual life cycle have received little attention. Here, we describe a collection of genes from the cereal aphid Rhopalosiphum padi expressed during the switch from parthenogenetic to sexual reproduction. After cDNA cloning and sequencing, 726 expressed sequence tags (EST) were annotated. The R. padi EST collection contained a substantial number (139) of bacterial endosymbiont sequences. The majority of R. padi cDNAs encoded either unknown proteins (56%) or housekeeping polypeptides (38%). The large proportion of sequences without similarities in the databases is related to both their small size and their high GC content, corresponding probably to the presence of 5'-unstranslated regions. Fifteen genes involved in developmental and differentiation events were identified by similarity to known genes. Some of these may be useful candidates for markers of the early steps of sexual differentiation.

Amino Acid Sequence↗

Comprehensive profiling of antibiotic resistance genes and functional clusters of orthologous groups annotation of gut microbiota in Indonesian Kedu chickens.

Antibiotic resistance is a growing global health concern, with poultry systems acting as important reservoirs of antibiotic resistance genes (ARGs). However, resistome and functional profiles of indigenous chickens raised under traditional systems remain underexplored. This study aimed to characterize the antibiotic resistome, virulence factor genes, and metabolic potential of gut microbiota in Indonesian Kedu chickens using a shotgun metagenomic approach. Digesta samples from five gastrointestinal segments of 21 healthy adult chickens were analyzed through high-throughput sequencing. ARGs were identified using the Comprehensive Antibiotic Resistance Database (CARD) and Antibiotic Resistance Genes Databases (ARDB), while virulence factors and functional genes were annotated using Virulence Factor Database (VFDB), Clusters of Orthologous Groups (COG), and Carbohydrate-Active EnZymes (CAZy) databases. Results revealed a diverse resistome dominated by multidrug resistance and efflux pump mechanisms, with prominent genes associated with fluoroquinolone, tetracycline, &#x3b2;-lactam, and glycopeptide resistance. The detection of clinically relevant ARGs suggests that genetic determinants associated with antimicrobial resistance are present in the gut microbiota of traditionally raised Kedu chickens, although metagenomic data alone cannot determine whether these genes are actively expressed or confer phenotypic resistance. Virulence factor analysis showed functions related to adherence, immune evasion, iron acquisition, quorum sensing, and efflux activity, reflecting strong microbial adaptability. Functional profiling demonstrated enrichment in translation, carbohydrate and amino acid metabolism, genome maintenance, and cell envelope biogenesis. Additionally, CAZyme analysis indicated a high capacity for complex polysaccharide degradation, supporting efficient utilization of fiber-rich traditional diets. In conclusion, this study provides a comprehensive metagenomic overview of antibiotic resistance and functional potential in Kedu chicken gut microbiota, emphasizing the importance of incorporating indigenous poultry into antimicrobial resistance surveillance within a One Health framework.

Antibiotic resistance genes↗

Integrated pseudogene annotation for human chromosome 22: evidence for transcription.

Pseudogenes are inheritable genetic elements formally defined by two properties: their similarity to functioning genes and their presumed lack of activity. However, their precise characterization, particularly with respect to the latter quality, has proven elusive. An opportunity to explore this issue arises from the recent emergence of tiling-microarray data showing that intergenic regions (containing pseudogenes) are transcribed to a great degree. Here we focus on the transcriptional activity of pseudogenes on human chromosome 22. First, we integrated several sets of annotation to define a unified list of 525 pseudogenes on the chromosome. To characterize these further, we developed a comprehensive list of genomic features based on conservation in related organisms, expression evidence, and the presence of upstream regulatory sites. Of the 525 unified pseudogenes we could confidently classify 154 as processed and 49 as duplicated. Using data from tiling microarrays, especially from recent high-resolution oligonucleotide arrays, we found some evidence that up to a fifth of the 525 pseudogenes are potentially transcribed. Expressed sequence tags (EST) comparison further validated a number of these, and overall we found 17 pseudogenes with strong support for transcription. In particular, one of the pseudogenes with both EST and microarray evidence for transcription turned out to be a duplicated pseudogene in the cat eye syndrome critical region. Although we could not identify a meaningful number of transcription factor-binding sites (based on chromatin immunoprecipitation-chip data) near pseudogenes, we did find that approximately 12% of the pseudogenes had upstream CpG islands. Finally, analysis of corresponding syntenic regions in the mouse, rat and chimp genomes indicates, as previously suggested, that pseudogenes are less conserved than genes, but more preserved than the intergenic background (all notation is available from http://www.pseudogene.org).

Animals↗

Bioinformatics in reproductive biology--functional annotation based on comparative sequence analysis.

Recent studies of the genomes of a variety of model organisms have provided an unprecedented opportunity to identify and characterize all signaling molecules in the human genome. Regardless of the approaches used to decipher gene characteristics and their role in physiology, pairwise sequence comparison represents the fundamental bioinformatic tool for initial functional annotation of newly identified genes. Because genes evolved from duplication and adapted to different evolutionary niches for each organism during speciation, detailed sequence analysis could provide additional information on the biochemical and biological characteristics of novel genes. In addition, the integration of sequence-based gene discovery with phylogeny-based function prediction leads to a more complete understanding of the signaling pathways. For example, detailed pairwise sequence analysis has led to the identification of (1) stresscopin (SCP) and stresscopin-related peptides (SRP) as the CRH-related genes, (2) multiple relaxin-like factor genes, and (3) the novel glycoprotein hormone subunit family genes, alpha2 and beta5. Furthermore, based on the understanding that ligands and receptors coevolved during evolution, we have identified a variety of novel extracellular signaling polypeptides including (1) stresscopin and stresscopin-related peptides as selective ligands for the type 2 CRH receptor, (2) the pregnancy hormone, relaxin, and related peptides that activate two orphan G protein-coupled receptors (GPCRs), LGR7 and LGR8, and (3) alpha2 and beta5 that form a heterodimer capable of activating the TSH receptor. Thus, detailed studies on the characteristics and evolution of gene sequences have provided an inroad to the elucidation of novel signaling polypeptides and the associated signal transduction pathways.

Animals↗

Checks and balancers: balancer chromosomes to facilitate genome annotation.

Phenotype-driven mutagenesis screens are used to discover gene function in model organisms. Mutations that are induced by chemical mutagens can occur anywhere in the genome. However, the use of a balancer chromosome (where a phenotypically marked segment of a chromosome is inverted) in a mutagenesis screen enables mutations to be mapped in a defined region of the genome and maintained stably in a heterozygous state. Mouse balancer chromosomes can be engineered using Cre-loxP technology in selected regions of the genome. Balancer mutagenesis screens will provide a systematic functional analysis of the genes on mouse chromosomes, and consequently, will facilitate a functional annotation of the mammalian genome sequence.

Animals↗

Subfunction partitioning, the teleost radiation and the annotation of the human genome.

Half of all vertebrate species are teleost fish. What accounts for this explosion of biodiversity? Recent evidence and advances in evolutionary theory suggest that genomic features could have played a significant role in the teleost radiation. This review examines evidence for an ancient whole-genome duplication (tetraploidization) event that probably occurred just before the teleost radiation. The partitioning of ancestral subfunctions between gene copies arising from this duplication could have contributed to the genetic isolation of populations, to lineage-specific diversification of developmental programs, and ultimately to phenotypic variation among teleost fish. Beyond its importance for understanding mechanisms that generate biodiversity, the partitioning of subfunctions between teleost co-orthologs of human genes can facilitate the identification of tissue-specific conserved noncoding regions and can simplify the analysis of ancestral gene functions obscured by pleiotropy or haploinsufficiency. Applying these principles on a genomic scale can accelerate the functional annotation of the human genome and understanding of the roles of human genes in health and disease.

Animals↗