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The evolution of structural databases.

Starting with the Protein Data Bank (PDB) as a common ancestor, the evolution of structural databases has been driven by the rapprochement of the structural world and the practical applications. The result is an impressive number of secondary structural databases that is welcomed by structural biologists and bioinformaticians but runs the risk of producing an embarrassment of riches among non-specialist users. Given that any profit depends on the number of customers, efficient interfaces between many structural data banks must be available to make their contents easily accessible. Increasing the information content of central structural repositories might be the best way to guide users through the many, sometimes overlapping databases.

Computer Communication Networks↗

Joubert syndrome: long-term follow-up.

Twenty-nine patients (16 males, 13 females) with Joubert syndrome were identified from ophthalmology, neurology, and genetic databases covering a 15-year period at Great Ormond Street Hospital, London. Criteria for diagnosis included absent or markedly hypoplastic cerebellar vermis, abnormal eye movements, and developmental delay. Five patients had died. Scans and notes were available for 22 patients, and 18 cases were clinically reviewed. The median age was 10 years 10 months (range 3mo to 19y) and the median follow-up was 8 years 5 months (range 3mo to 19y, with one new patient seen at 3mo of age). Cerebellar vermis hypoplasia/aplasia with 'molar tooth sign' in the axial plane was present in 22 of 22 patients, coloboma in 6 of 22, and polydactyly in 6 of 22. In the 18 clinically reviewed, apnoea occurred in 13 patients. Five had renal problems with cysts and 4 of 5 had abnormal electroretinograms (ERGs). Visual electrophysiology was abnormal in 14 of 18 patients, and in 6 there was evidence of deterioration in the ERG. Blood investigations of organic acids, phytanic acid, very-long-chain fatty acid, and transferrin were normal in 12 patients tested. Developmental assessment showed that 6 of 15 patients aged more than 5 years were at mainstream school, and 12 of 18 had started walking between 22 months and 10 years. Speech difficulties and behavioural problems were prominent.

Achilles Tendon↗

Sequencing and mass profiling highly modified conotoxins using global reduction/alkylation followed by mass spectrometry.

A novel high-throughput method for characterizing heavily modified peptides from cone snail venom is described. Unpurified cone snail duct venom, consisting primarily of multiply disulfide-bonded peptides, is reduced and alkylated using a global procedure in order to simultaneously reduce and derivatize dozens of disulfide-bonded peptides. Samples of Conus victoriae venom are analyzed by online liquid chromatography-electrospray ionization-ion trap-mass spectrometry (LC-ESI-MS) with collisionally induced dissociation (CID). Comparison of the mass profiles of peptides and CID spectra before and after the global reduction and alkylation enables cysteine-containing conopeptides to be ascertained. In this case, over 40 conotoxins are characterized based on only two LC-ESI-MS experiments in terms of mass, number of disulfide-linked cysteine residues (and hence, potential toxin superfamilies), relative hydrophobicity, and other posttranslational modifications. Using this technique, over half of the amino acids (by mass) of several peptides are defined prior to any detailed sequencing studies. Further comparison of the mass data with previously published genetic information allows sequence verification of three novel peptides, termed vc5b, vc6b and vc6c, based on both LC-ESI-MS CID and nanoelectrospray ionization-ion trap-mass spectrometry (nanoESI-MS) experiments. This global method is ideally suited to the use of larger genetic databases in order to efficiently sequence peptides in Conus venoms and is also applicable to analysis of other disulfide-rich classes of peptides such as defensins, chemokines, and snake, spider, or other venoms.

Alkylation↗

Fast and accurate method for identifying high-quality protein-interaction modules by clique merging and its application to yeast.

Molecular networks in cells are organized into functional modules, where genes in the same module interact densely with each other and participate in the same biological process. Thus, identification of modules from molecular networks is an important step toward a better understanding of how cells function through the molecular networks. Here, we propose a simple, automatic method, called MC(2), to identify functional modules by enumerating and merging cliques in the protein-interaction data from large-scale experiments. Application of MC(2) to the S. cerevisiae protein-interaction data produces 84 modules, whose sizes range from 4 to 69 genes. The majority of the discovered modules are significantly enriched with a highly specific process term (at least 4 levels below root) and a specific cellular component in Gene Ontology (GO) tree. The average fraction of genes with the most enriched GO term for all modules is 82% for specific biological processes and 78% for specific cellular components. In addition, the predicted modules are enriched with coexpressed proteins. These modules are found to be useful for annotating unknown genes and uncovering novel functions of known genes. MC(2) is efficient, and takes only about 5 min to identify modules from the current yeast gene interaction network with a typical PC (Intel Xeon 2.5 GHz CPU and 512 MB memory). The CPU time of MC(2) is affordable (12 h) even when the number of interactions is increased by a factor of 10. MC(2) and its results are publicly available on http://theory.med.buffalo.edu/MC2.

Algorithms↗

The Collaborative Cross, a community resource for the genetic analysis of complex traits.

The goal of the Complex Trait Consortium is to promote the development of resources that can be used to understand, treat and ultimately prevent pervasive human diseases. Existing and proposed mouse resources that are optimized to study the actions of isolated genetic loci on a fixed background are less effective for studying intact polygenic networks and interactions among genes, environments, pathogens and other factors. The Collaborative Cross will provide a common reference panel specifically designed for the integrative analysis of complex systems and will change the way we approach human health and disease.

Animals↗

Population genomic analysis of outcrossing and recombination in yeast.

The budding yeast Saccharomyces cerevisiae has been used by humans for millennia to make wine, beer and bread. More recently, it became a key model organism for studies of eukaryotic biology and for genomic analysis. However, relatively little is known about the natural lifestyle and population genetics of yeast. One major question is whether genetically diverse yeast strains mate and recombine in the wild. We developed a method to infer the evolutionary history of a species from genome sequences of multiple individuals and applied it to whole-genome sequence data from three strains of Saccharomyces cerevisiae and the sister species Saccharomyces paradoxus. We observed a pattern of sequence variation among yeast strains in which ancestral recombination events lead to a mosaic of segments with shared genealogy. Based on sequence divergence and the inferred median size of shared segments (approximately 2,000 bp), we estimated that although any two strains have undergone approximately 16 million cell divisions since their last common ancestor, only 314 outcrossing events have occurred during this time (roughly one every 50,000 divisions). Local correlations in polymorphism rates indicate that linkage disequilibrium in yeast should extend over kilobases. Our results provide the initial foundation for population studies of association between genotype and phenotype in S. cerevisiae.

Crosses, Genetic↗

Computational prediction of cancer-gene function.

Most cancer genes remain functionally uncharacterized in the physiological context of disease development. High-throughput molecular profiling and interaction studies are increasingly being used to identify clusters of functionally linked gene products related to neoplastic cell processes. However, in vivo determination of cancer-gene function is laborious and inefficient, so accurately predicting cancer-gene function is a significant challenge for oncologists and computational biologists alike. How can modern computational and statistical methods be used to reliably deduce the function(s) of poorly characterized cancer genes from the newly available genomic and proteomic datasets? We explore plausible solutions to this important challenge.

Computational Biology↗

PepA, a secreted protein of Pseudomonas aeruginosa, is necessary for cytotoxicity and virulence.

Pseudomonas aeruginosa is an opportunistic pathogen and a leading cause of hospital-acquired pneumonia. We identified a 73kDa protein, designated Pseudomonas exoprotein A (PepA), that was secreted by P. aeruginosa strain PA103. PepA was necessary for in vitro killing of epithelial cells as well as virulence in a mouse model of acute pneumonia. Several properties of PepA suggested that it was secreted by a type III system. Secretion occurred without cleavage of a signal peptide and in low-calcium environments in the presence of a divalent cation chelator, as is the case for characterized P. aeruginosa type III secreted proteins. Secretion of PepA was absent from isogenic mutants with defective type III pathways. Finally, amino-terminal peptide sequence analysis indicated that the amino-terminal five residues of PepA were identical to those of ExoS and ExoT, two type III secreted proteins of P. aeruginosa. After secretion, PepA underwent cleavage at two sites, each with the sequence A-X-K-S, suggesting that the cleavage may be caused by a protease. The gene encoding PepA, designated pepA, was cloned and sequenced, and comparisons with the genetic database using BLAST alignments indicated that the nucleotide sequence of pepA and the inferred protein sequence of PepA had no homology to known sequences. A nucleotide sequence identical to the consensus element for binding of ExsA, a transcriptional activator of P. aeruginosa type III secretion genes, was located 84 bp 5' of the translational start codon. Analysis of transposon insertion mutants indicated that the carboxy terminus was required for cytotoxicity. Examination of respiratory clinical isolates demonstrated that pepA was a variable trait and probably acquired by horizontal transmission. Consistent with this hypothesis was the identification of a putative insertion element 94 bp 5' of the PepA translational start site. Analysis of G + C content of the PepA coding sequence and the adjacent insertion element suggested that they were acquired together from a different species. In summary, PepA is a secreted protein of P. aeruginosa that is necessary for epithelial cell cytotoxicity in vitro and virulence in a mouse model of pneumonia.

Amino Acid Sequence↗

Pregnancy outcomes following false-positive multiple marker screening tests.

Pregnancy outcomes in women with a false-positive midtrimester multiple marker screening test (MMST) were reviewed. A genetic database was used to identify all women > or = age 30 who had a MMST at 15-20 weeks of gestation, a targeted ultrasound, and amniocentesis, and complete pregnancy outcome data. All patients with an abnormal fetal ultrasound (US) or karyotype were excluded. The incidence of adverse outcomes (defined as fetal death, preterm delivery, or a birth weight less than the 10th percentile for gestational age), in those women with a positive MMST (risk of Down's syndrome > or = 1:190) was compared to the incidence of adverse outcomes in control women with negative MMST. Chi-square analysis and Fisher's exact tests were used for comparisons as appropriate. Complete data was available from 1135 women. Seventy-seven percent were over age 35. Two hundred and forty-six women (22%) had a positive multiple marker test. No significant differences in outcomes were discovered after comparisons to controls: fetal death 1 of 246 (0.4%) versus 12 of 889 (1.3%), p = 0.32; preterm delivery 32 of 246 (13.0%) versus 147 of 889 (16.5%), p = 0.17; birth weight less than the 10th percentile, 9 of 246 (3.7%) versus 30 of 889 (3.4%), p = 0.83. Our data suggest that women > or = age 30 with a false-positive MMST and a normal midtrimester obstetrical sonogram are not at an increased risk for adverse pregnancy outcomes in later gestation.

Adult↗

Prenatal diagnosis from cystic hygroma fluid: the value of fluorescence in situ hybridization.

OBJECTIVE: We sought to determine the optimal approach to the prenatal chromosome analysis of cystic hygroma fluid using traditional cytogenetic analysis and fluorescence in situ hybridization. STUDY DESIGN: A retrospective evaluation of our experience with traditional cytogenetic and fluorescence in situ hybridization analysis on cystic hygroma fluid was performed through a systematic review of the Genzyme Genetics database from January 1995 to July 2000. Information on gestational age, sample volume, clinical ultrasound findings (including fetal viability), cytogenetic results, fluorescence in situ hybridization results, and turn-around-time were queried. RESULTS: Eighty-three specimens were included in the investigation. The mean gestational age was 18.1 weeks (range, 13-27 weeks), and the mean sample volume was 20.7 mL (range, 0.1-101 mL). Of the 72 samples in which > 5 mL of cystic hygroma fluid was available, the success rate for cytogenetic analysis was 76% (55/72 samples). In 11 specimens of < or = 5 mL of cystic hygroma fluid, cytogenetic analysis was successful in only 1 case (9%). Fluorescence in situ hybridization was attempted on 23 samples, 18 of which were successful (78%), including 6 of 9 cases of cell culture failure (67%). Both traditional cytogenetic analysis and fluorescence in situ hybridization were performed in 21 instances when a sample of > 5 mL was available. A successful result was obtained by either cytogenetic testing or fluorescence in situ hybridization analysis or both in 19 of 21 of these cases (90%). Samples of > 5 mL from viable fetuses had a higher cytogenetic success rate (80%) and fluorescence in situ hybridization success rate (89%) than samples from fetuses with intrauterine death (38% and 50% cytogenetic and fluorescence in situ hybridization success rates, respectively.) The mean turn-around time was 8.2 days (range, 4-17 days). Results were available in < or = 12 days in 91% of cases. There was a 91% aneuploidy rate identified, with 45,X occurring in 86% of the samples. CONCLUSION: We conclude that the optimal approach for the prenatal diagnosis of chromosome abnormalities from cystic hygroma samples is to perform both traditional cytogenetic studies and interphase prenatal fluorescence in situ hybridization evaluation for the most common aneuploidies that involve chromosomes 13, 18, 21, X, and Y. With this combined approach, our data indicate that, in viable pregnancies with a fluid sample of >5 mL, a 90% diagnostic success rate can be achieved.

Congenital Abnormalities↗

A local alignment metric for accelerating biosequence database search.

We introduce a metric for local sequence alignments that has utility for accelerating optimal alignment searches without loss of sensitivity. The metric's triangle inequality property permits identification of redundant database entries guaranteed to have optimal alignments to the query sequence that fall below a specified score threshold, thereby permitting comparisons to these entries to be skipped. We prove the existence of the metric for a variety of scoring systems, including the most commonly used ones, and show that a triangle inequality can be established as well for nucleotide-to-protein sequence comparisons. We discuss a database clustering and search strategy that takes advantage of the triangle inequality. The strategy permits moderate but significant acceleration of searches against the widely used "nr" protein database. It also provides a theoretically based method for database clustering in general and provides a standard against which to compare heuristic clustering strategies.

Algorithms↗

The Drosophila melanogaster genome sequencing and annotation projects: a status report.

The sequence and genome annotations of Drosophila melanogaster were initially published in late 1999 and early 2000. Since then, the Berkeley Drosophila Genome Project (BDGP) and FlyBase have improved the quality of the sequence and reviewed the annotations by hand, respectively, to produce an account of the fruit fly genome that is of the highest quality. This review discusses the main features of this process, both from the point of view of the biology revealed in the end result and in the development of software that has been central to this genome sequencing and annotation project.

Animals↗

Kazusa mammalian cDNA resources: towards functional characterization of KIAA gene products.

The Kazusa cDNA project pioneered an extensive sequencing project of human cDNAs in their entirety and focused sequencing efforts particularly on large cDNAs encoding large proteins. More than 2000 human genes, referred to as 'KIAA' genes, were initially identified through this cDNA project. Since many KIAA genes still remain functionally uncharacterized, our current focus is to determine their biological functions in vivo. In this review, we describe the current status of the Kazusa mammalian cDNA resources and the future direction of the functional characterization of KIAA genes.

Animals↗