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At least 1,063 records · Page 59Linked to original sources
PubMed2003

Differential profiles of genes expressed in neonatal brain of 129X1/SvJ and C57BL/6J mice: A database to aid in analyzing DNA microarrays using nonisogenic gene-targeted mice.

Strain-specific differences in gene expression have been observed among various inbred mouse strains. Two strains that are commonly used in gene-targeting research today are the 129 substrains, which are used to produce ES cell lines, and C57BL/6J, which is used for the extensive backcrosses required to produce isogenic knockout mice. When F2 nonisogenic littermates are assessed using DNA microarrays, one must determine whether the expression profiles obtained resulted either from specific alteration(s) induced by the targeted gene mutation or from gene expression differences related to the genetic background of the parent mouse strains. In the present study, we report the differential expression profile of genes expressed in neonatal brains and adult spleen and liver of 129X1/SvJ and C57BL/6J strains of mice. These comprehensive profiles were assessed using two types of Agilent Mouse Oligo Microarrays (development and standard) and were compiled into a publicly available database. Researchers can use this database to determine whether their microarray findings represent strain-specific differences in gene expression by comparing their data with those cataloged in our database. This database is useful for effectively analyzing DNA microarray data from nonisogenic littermates, and would help researchers avoid time-consuming backcrosses and confirmatory experiments requiring the use of many mice.

Animals↗
PubMed2005

A bioinformatics analysis of protein tyrosine phosphatases in humans.

Protein tyrosine phosphatases (PTPs) cooperate with protein tyrosine kinases to regulate signal transduction pathways. Genome-wide surveys cataloging protein tyrosine phosphatases in humans have recently been carried out. Here, we present a bioinformatics analysis of protein tyrosine phosphatases in the human genome to examine their domain architecture, alternative splicing and pseudogenes. We present evidence that alternative transcripts exist for 25 out of 35 PTPs analyzed. These alternative transcripts include novel exons; skipped exons as well as cryptic donor/acceptor splice sites. We discovered a novel isoform of PTPN18 based on analysis of expressed sequence tags (ESTs). The deletion of 4 exons in the catalytic domain of the novel isoform may alter the enzymatic activity toward its substrates. We were able to experimentally validate 2 of our novel isoform predictions through RT-PCR. Finally, a user-friendly web-based resource that consolidates the gene and protein annotations for all human protein tyrosine phosphatases has been developed and is freely available at http://ptpr.ibioinformatics.org.

Alternative Splicing↗
PubMed2002

Quantitative proteomic analysis of Myc oncoprotein function.

This study applies a new quantitative proteomics technology to the analysis of the function of the Myc oncoprotein in mammalian cells. Employing isotope-coded affinity tag (ICAT) reagent labeling and tandem mass spectrometry, the global pattern of protein expression in rat myc-null cells was compared with that of myc-plus cells (myc-null cells in which myc has been introduced) to generate a differential protein expression catalog. Expression differences among many functionally related proteins were identified, including reduction of proteases, induction of protein synthesis pathways and upregulation of anabolic enzymes in myc-plus cells, which are predicted to lead to increased cell mass (cell growth). In addition, reduction in the levels of adhesion molecules, actin network proteins and Rho pathway proteins were observed in myc-plus cells, leading to reduced focal adhesions and actin stress fibers as well as altered morphology. These effects are dependent on the highly conserved Myc Box II region. Our results reveal a novel cytoskeletal function for Myc and indicate the feasibility of quantitative whole-proteome analysis in mammalian cells.

Animals↗
PubMed2025

Integrative Genotyping and Analysis of Canine Structural Variation Using Long-read and Short-read Data.

Structural variation makes an important contribution to canine evolution and phenotypic differences. Although recent advances in long-read sequencing have enabled the generation of multiple canine genome assemblies, most prior analyses of structural variation have relied on short-read sequencing. To offer a more complete assessment of structural variation in canines, we performed an integrative analysis of structural variants present in 12 canine samples with available long-read and short-read sequencing data along with genome assemblies. Use of long-reads permits the discovery of heterozygous variation that is absent in existing haploid assembly representations while offering a marked increase in the ability to identify insertion variants relative to short-read approaches. Examination of the size spectrum of structural variants shows that dimorphic LINE-1 and SINE variants account for over 45% of all deletions and identified 1,410 LINE-1s with intact open reading frames that show presence-absence dimorphism. Using a graph-based approach, we genotype newly discovered structural variants in an existing collection of 1,879 resequenced dogs and wolves, generating a variant catalog containing a 56.5% increase in the number of deletions and 705% increase in the number of insertions previously found in the analyzed samples. Examination of allele frequencies across admixture components present across breed clades identified 283 structural variants evolving with a signature of selection.

Animals↗
PubMed1990

Size selection identifies new genes that regulate Saccharomyces cerevisiae cell proliferation.

A centrifugation procedure to enrich for enlarged cells has been used to isolate temperature-sensitive cdc mutants of the yeast Saccharomyces cerevisiae. Among these mutants are strains containing mutations that arrest proliferation at the regulatory step start. These new start mutations define two previously unidentified genes, CDC67 and CDC68, and reveal that a previously identified gene, DNA33 (here termed CDC65), can harbour start mutations. Each new start mutation permits significant biosynthetic activity after transfer of mutant cells to the non-permissive temperature. The cdc68-1 start mutation causes arrest of cell proliferation without inhibition of mating ability, while the cdc65-1 and cdc67-1 mutations inhibit zygote formation and successful conjugation. The identification of new start genes by a novel selection procedure suggests that the catalog of genes that influence start is large.

Cell Division↗
PubMed2006

Advancing glycomics: implementation strategies at the consortium for functional glycomics.

Glycomics-an integrated approach to study structure-function relationships of complex carbohydrates (or glycans)-is an emerging field in this age of post-genomics. Realizing the importance of glycomics, many large scale research initiatives have been established to generate novel resources and technologies to advance glycomics. These initiatives are generating and cataloging diverse data sets necessitating the development of bioinformatic platforms to acquire, integrate, and disseminate these data sets in a meaningful fashion. With the consortium for functional glycomics (CFG) as the model system, this review discusses databases and the bioinformatics platform developed by this consortium to advance glycomics.

Animals↗
PubMed2026

circASbase: A Comprehensive Database of Alternative Splicing Events in circRNAs.

Although extensive evidence has underscored the critical role of alternative splicing (AS) in generating mature circular RNA (circRNA) isoforms and augmenting their functional diversity, a significant gap remains in the availability of specialized databases housing circRNA AS events. To bridge this gap, we develop circASbase, a pioneering and comprehensive database that catalogs 452,129 AS events in 884,047 full-length circRNAs from 581 samples across 13 species, and provides rich annotations to facilitate understanding the splicing regulation of circRNA. Our findings reveal substantial differences between circRNAs and linear transcripts regarding the distribution and occurrence of AS events, highlighting the unique regulatory landscape of circRNAs. These special splicing events result in functional differences of circRNAs by affecting internal ribosome entry sites, N6-methyladenosine sites, open reading frames, protein features, microRNA targets, and more. In summary, circASbase not only meets the urgent need of the research community for data repositories, but also represents a significant advancement in our understanding of circRNA biology. With its user-friendly interfaces and web-based visualization tools, circASbase is poised to become an indispensable resource for researchers exploring the regulatory mechanisms and functional roles of AS events in circRNAs. This database will continuously drive new insights and discoveries in the field, setting the stage for further advancements in circRNA research. circASbase is freely available at http://reprod.njmu.edu.cn/cgi-bin/circASbase/.

Alternative Splicing↗
PubMed1996

Cloning and expression analyses of mouse dystroglycan gene: specific expression in maternal decidua at the peri-implantation stage.

While constructing a catalog of mouse cDNAs which are expressed in the maternal-fetal interface during the peri-implantation period, we encountered a 1.6 kb cDNA clone showing a strong sequence similarity to the 3' untranslated region of the human dystroglycan gene. We cloned an additional 1.7 kb cDNA by reverse transcriptase-PCR (RT-PCR) and confirmed that this is a true mouse homolog of human dystroglycan cDNA by sequence analyses, Southern blotting, and genetic mapping of this gene on the distal region of mouse chromosome 9. Although it is well established that dystroglycan, a transmembrane protein, plays an important role in muscle tissues by bridging intracellular dystrophin to the laminin in the extracellular matrix, its role in non-muscle tissues remains elusive. To further investigate the role of the dystroglycan gene at the peri-implantation stage, we analyzed the expression patterns of this gene by in situ hybridization, which revealed that this gene is specifically expressed in decidual cells, especially in the cells surrounding the implantation site at 6.5, 7.5, and 8.5 day post conception (p.c.) stages, but not expressed in non-pregnant endometrial cells of uterus nor in the decidua at 12.5 day p.c. Further analyses by RT-PCR confirmed that the amount of dystroglycan mRNA in 8.5 day p.c. decidua was indeed 100-fold higher than that of non-pregnant uterus and 12.5 day p.c. mature placenta. These results suggest that dystroglycan may work as a mediator for adhesion between decidual cells themselves or between decidual cells and trophoblast cells, and provide a structural and functional support for maintaining pregnancy at its early stage.

Amino Acid Sequence↗
PubMed2005

Sulfatases and sulfatase modifying factors: an exclusive and promiscuous relationship.

Sulfatases catalyze the hydrolysis of sulfate ester bonds from a wide variety of substrates. Several human inherited diseases are caused by the deficiency of individual sulfatases, while in patients with multiple sulfatase deficiency mutations in the Sulfatase Modifying Factor 1 (SUMF1) gene cause a defect in the post-translational modification of a cysteine residue into C(alpha)-formylglycine (FGly) at the active site of all sulfatases. This unique modification mechanism, which is required for catalytic activity, has been highly conserved during evolution. Here, we used a genomic approach to investigate the relationship between sulfatases and their modifying factors in humans and several model systems. First, we determined the complete catalog of human sulfatases, which comprises 17 members (versus 14 in rodents) including four novel ones (ARSH, ARSI, ARSJ and ARSK). Secondly, we showed that the active site, which is the target of the post-translational modification, is the most evolutionarily constrained region of sulfatases and shows intraspecies sequence convergence. Exhaustive sequence analyses of available proteomes indicate that sulfatases are the only likely targets of their modifying factors. Thirdly, we showed that sulfatases and ectonucleotide pyrophosphatases share significant homology at their active sites, suggesting a common evolutionary origin as well as similar catalytic mechanisms. Most importantly, gene association studies performed on prokaryotes suggested the presence of at least two additional mechanisms of cysteine-to-FGly conversion, which do not require SUMF1. These results may have important implications in the study of diseases caused by sulfatase deficiencies and in the development of therapeutic strategies.

Amino Acid Sequence↗
PubMed1993

Chlamydia trachomatis serovars in 435 urogenital specimens typed by restriction endonuclease analysis of amplified DNA.

Chlamydia trachomatis serovar was determined by analysis of restriction fragment length polymorphism in the gene encoding the major outer membrane protein (MOMP) from 435 urogenital specimens. Of the specimens, 254 grew < 25 inclusions and 14 were negative in culture. Although previous studies defined serovar by epitopes or sequences representing only the four variable domains in MOMP, restriction endonuclease sites characteristic for each serovar not only within but also outside these variable domains were cataloged in this study. Novel serovars that grew poorly or not at all in vitro were not observed, and all samples proved similar or identical to one of the 15 known serovars. There was no significant difference in proportions of serovars between men and women. In women, F serovars were more frequently observed in infections with few inclusions in culture, whereas B group serovars predominated when many inclusions were observed.

Adult↗
PubMed1990

Defining quality of care: mission impossible?

Finding the definition of quality has haunted mankind since the beginning of time. As far back as ancient Egypt and classical Greece, descriptions of quality show man's struggle with a concept that has not yet ended. Since the beginning of this century, descriptions of quality of health care have begun to take form in long lists of categories that make up the elements of quality. This catalog approach to defining quality has been replaced by the evaluative approach since Donabedian's conceptual studies in the 1960s. It has become commonplace now to define quality in evaluative terms: by comparing actual care with preset criteria, a judgement, and consequently a description or definition, can be obtained on real quality of care. In criteria and their derivatives one can document his intentions as to good quality; only after measurement and judgement can one be certain that quality has been described. A frequent source of concern is the erroneous belief that scientific research is synonymous with quality assessment. Research results form the basis of criteria for good care, and as such contribute to quality, but having obtained good research results does not imply that health care is properly and appropriately provided.

Delivery of Health Care↗
PubMedDate not supplied

Procainamide depleted tablets not a cause of death.

Sixteen apparently intact procainamide tablets, in varied stages of drug depletion, were found distributed throughout the gastrointestinal tract of a man who died of arteriosclerotic heart disease with pulmonary complications. The tablets were found to contain procainamide by a thin layer chromatography system with cataloged compound identification characteristics. The drug was confirmed by ultraviolet spectrophotometry and gas chromatography/mass spectrometry. The concentration of the drug in the liver was in a therapeutic range and the drug was not attributed as contributing to the cause of death.

Aged↗
PubMed2026

Bycatch in a bottle: what taxa are recoverable from metabarcoding DNA in historical invertebrate collection preservative fluid?

Natural history museum collections are invaluable repositories of biodiversity, offering insights into life on Earth. Genomic approaches provide powerful tools to characterize biodiversity in these collections. However using these collections for genomics without damaging specimens is a challenge. Here, we develop and test non-destructive DNA metabarcoding methods to capture biodiversity from the preservative fluids of archived insect collections ('Bycatch'). We optimized workflows for extracting and amplifying the partial CO1 locus (CO1) and fungal ITS1 locus from ethanol-based preservative fluids, validating ethanol preparation methods, comparing DNA extraction kits, and refining PCR protocols. Our results demonstrate that from museum collections with low DNA yields, CO1 and fungal ITS1 loci can often be recovered from preservative fluids, and we present detailed methodology and workflows. We test metabarcoding success to recover taxa in several museum collections ranging in age and storage condition. This is to support the State of California's effort to catalog and sequence all insects and fungi, building baselines of California biodiversity with help from museum collections. Lastly, we investigate the complementarity of metabarcoding water versus ethanol and morphological identifications aimed to capture benthic macroinvertebrate biodiversity in streams. Our findings highlight that DNA metabarcoding of the preservative fluid is a non-destructive tool for capturing biodiversity in historical specimens, but there are limitations on the overlaps between DNA results and physical contents, where morphological identification still reigns in taxon counts, but metabarcoding sometimes provides more taxonomic resolution, and can be used to track DNA from other organisms such as fungi beyond the directly surveyed specimens.

Animals↗
PubMed2005

Creating standard cost measures across integrated health care delivery systems.

BACKGROUND: Economic analyses are increasingly important in medical research. Accuracy often requires that they include large, diverse populations, which requires data from multiple sources. The difficulty is in making the data comparable across different settings. This article focuses on how to create comparable measures of health care resource use and cost using data from seven health plans and delivery systems participating in the Cancer Research Network's HMOs Investigating Tobacco study. METHODS: We used a data inventory to identify variation in data capture across sites and used data dictionaries to develop algorithms for assigning standardized cost to the three major components of health care use: outpatient, inpatient, and pharmacy. RESULTS: The plans included in this study varied from fully integrated, closed-panel models to plans and delivery systems that include network or independent physician association components. Information derived from the data inventory and data dictionary instruments demonstrated a substantial variation in both the content and capture of data across all sites and across all components of usage. The methods we employed for cost allocation varied by usage component and were based on our ability to leverage the data points available to best reflect actual resource use. CONCLUSIONS: The importance of this article is the method of ascertaining, cataloging, and addressing the within- and between-plan differences in health care resource use. Second, the decisions we made to address the differences between health plans provide other researchers a starting point when creating a cost algorithm for multisite retrospective research.

Adult↗
PubMed2025

eccDNABase: A Comprehensive and High-Quality Database for Extrachromosomal Circular DNA.

Extrachromosomal circular DNA (eccDNA) refers to small, circular DNA molecules that originate from chromosomal sequences and are prevalent across nearly all eukaryotic organisms. In humans, eccDNAs are widely distributed in normal tissues, cancerous tissues, and body fluids, where they play important roles in tumorigenesis and are often associated with poor clinical outcomes. Given their biological and clinical significance, a well-integrated and high-quality database is essential for advancing eccDNA-related research. To address this need, we developed eccDNABase, a comprehensive and curated resource for browsing, searching, and analyzing eccDNAs across multiple species. The database systematically catalogs eccDNA-disease associations from diverse tissues and organisms. Currently, eccDNABase contains 1,875,452 eccDNA-disease associations, encompassing 8,398 ecDNA entries across nine species, 63 diseases, and healthy individuals. Each entry provides detailed information, including eccDNA ID, type, chromosomal localization, species, tissue or cell line source, disease name and Disease Ontology ID, overlap length and percentage with genes, oncogene overlap, detection method, and links to literature and source databases. Given its extensive and curated datasets, eccDNABase serves as a valuable resource for both basic and translational research, offering deeper insights into the role of eccDNA in health and disease. The database is publicly accessible at http://cgga.org.cn/eccDNABase/.

Humans↗
PubMed1991

Automated assembly of protein blocks for database searching.

A system is described for finding and assembling the most highly conserved regions of related proteins for database searching. First, an automated version of Smith's algorithm for finding motifs is used for sensitive detection of multiple local alignments. Next, the local alignments are converted to blocks and the best set of non-overlapping blocks is determined. When the automated system was applied successively to all 437 groups of related proteins in the PROSITE catalog, 1764 blocks resulted; these could be used for very sensitive searches of sequence databases. Each block was calibrated by searching the SWISS-PROT database to obtain a measure of the chance distribution of matches, and the calibrated blocks were concatenated into a database that could itself be searched. Examples are provided in which distant relationships are detected either using a set of blocks to search a sequence database or using sequences to search the database of blocks. The practical use of the blocks database is demonstrated by detecting previously unknown relationships between oxidoreductases and by evaluating a proposed relationship between HIV Vif protein and thiol proteases.

Algorithms↗
PubMed1993

The SBASE protein domain library, release 2.0: a collection of annotated protein sequence segments.

SBASE 2.0 is the second release of SBASE, a collection of annotated protein domain sequences. SBASE entries represent various structural, functional, ligand-binding and topogenic segments of proteins [Pongor, S. et al. (1993) Prot. Eng., in press]. This release contains 34,518 entries provided with standardized names and it is cross-referenced to the major protein and nucleic acid databanks as well as to the PROSITE catalog of protein sequence patterns [Bairoch, A. (1992) Nucl. Acids Res., 20 suppl, 2013-2018]. SBASE can be used for establishing domain homologies using different database-search tools such as FASTA [Lipman and Pearson (1985) Science, 227, 1436-1441], FASTDB [Brutlag et al. (1990) Comp. Appl. Biosci., 6, 237-245] or BLAST3 [Altschul and Lipman (1990) Proc. Natl. Acad. Sci. USA, 87, 5509-5513] which is especially useful in the case of loosely defined domain types for which efficient consensus patterns can not be established. SBASE 2.0 and a set of search and retrieval tools are freely available on request to the authors or by anonymous 'ftp' file transfer from mean value of ftp.icgeb.trieste.it.

Amino Acid Sequence↗
PubMed1994

Discovering active motifs in sets of related protein sequences and using them for classification.

We describe a method for discovering active motifs in a set of related protein sequences. The method is an automatic two step process: (1) find candidate motifs in a small sample of the sequences; (2) test whether these motifs are approximately present in all the sequences. To reduce the running time, we develop two optimization heuristics based on statistical estimation and pattern matching techniques. Experimental results obtained by running these algorithms on generated data and functionally related proteins demonstrate the good performance of the presented method compared with visual method of O'Farrell and Leopold. By combining the discovered motifs with an existing fingerprint technique, we develop a protein classifier. When we apply the classifier to the 698 groups of related proteins in the PROSITE catalog, it gives information that is complementary to the BLOCKS protein classifier of Henikoff and Henikoff. Thus, using our classifier in conjunction with theirs, one can obtain high confidence classifications (if BLOCKS and our classifier agree) or suggest a new hypothesis (if the two disagree).

Algorithms↗