Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Genomic profiling”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,423 records · Page 79Linked to original sources
PubMed2003

Identification of sporulation genes by genome-wide analysis of the sigmaE regulon of Bacillus subtilis.

Differentiation in the spore-forming bacterium Bacillus subtilis is governed by the sequential activation of five sporulation-specific transcription factors. The early mother-cell-specific transcription factor, sigma(E), directs the transcription of many genes that contribute to the formation of mature, dormant spores. In this study, DNA microarrays were used to identify genes belonging to the sigma(E) regulon. In total, 171 genes were found to be under the control of sigma(E). Of these, 101 genes had not previously been described as being sigma(E) dependent. Disruption of some of the previously unknown genes (ydcC, yhaL, yhbH, yjaV and yqfD) resulted in a defect in sporulation.

Bacillus subtilis↗
PubMed2004

Genomic organization and expression analysis for hcstk, a serine/threonine protein kinase gene of Haemonchus contortus, and comparison with Caenorhabditis elegans par-1.

The organization and expression of a putative serine/threonine kinase gene (designated hcstk), proposed to relate to a conserved eukaryotic signal transduction pathway, was characterized for the socio-economically important pathogen Haemonchus contortus (Nematoda). The entire hcstk gene is approximately 26.7 kb in size, has 26 exons and is inferred to produce multiple isoforms via alternative splicing in its N-terminal header and spacer domains. Comparison of hcstk with its Caenorhabditis elegans homologue, par-1, revealed major differences in genomic organization, exon number and inferred mRNA processing. The expression of hcstk transcripts was highest in the first- and late-fourth-stage larvae of the parasite compared with other developmental stages, somewhat distinct from par-1 in C. elegans. In spite of a substantial amino acid sequence identity in the functional domains between the predicted proteins HcSTK and PAR-1, overall, the findings suggest a unique functional role for each molecule.

Alternative Splicing↗
PubMed2004

Identification of crotasin, a crotamine-related gene of Crotalus durissus terrificus.

Crotamine is a cationic peptide (4.9 kDa, pI 9.5) of South American rattlesnake, Crotalus durissus terrificus' venom. Its presence varies according to the subspecies or the geographical locality of a given species. At the genomic level, we observed the presence of 1.8 kb gene, Crt-p1, in crotamine-positive specimens and its absence in crotamine-negative ones. In this work, we described a crotamine-related 2.5 kb gene, crotasin (Cts-p2), isolated from crotamine-negative specimens. Reverse transcription coupled to polymerase chain reaction indicates that Cts-p2 is abundantly expressed in several snake tissues, but scarcely expressed in the venom gland. The genome of crotamine-positive specimen contains both Crt-p1 and Cts-p2 genes. The present data suggest that both crotamine and crotasin have evolved by duplication of a common ancestor gene, and the conservation of their three disulfide bonds indicates that they might adopt the same fold as beta-defensin. The physiological function of the crotasin is not yet known.

Amino Acid Sequence↗
PubMed2005

Platelet genomics and proteomics in human health and disease.

Proteomic and genomic technologies provide powerful tools for characterizing the multitude of events that occur in the anucleate platelet. These technologies are beginning to define the complete platelet transcriptome and proteome as well as the protein-protein interactions critical for platelet function. The integration of these results provides the opportunity to identify those proteins involved in discrete facets of platelet function. Here we summarize the findings of platelet proteome and transcriptome studies and their application to diseases of platelet function.

Blood Platelets↗
PubMed2002

[Drug discovery based on microarray].

Gene regulatory networks developed from full genome expression libraries from gene perturbation variant cell lines can be used to quickly and efficiently identify the molecular mechanism of action of drugs or lead compound molecules. We developed an extensive yeast gene expression library consisting of full-genome cDNA array data for over 500 yeast strains each with a single gene disruption. Using this data, combined with dose and time course expression experiments with the oral antifungal agent, we used Boolean network discovery techniques to determine the genes whose expression was most profoundly affected by this drug. Our system identified the gene as the most significantly suppressed target molecule due to exposure to the antifungal agent. This process for network based drug discovery can significantly decrease the time and resources necessary to make rational drug targeting decisions.

Antifungal Agents↗
PubMed2000

Human secretin (SCT): gene structure, chromosome location, and distribution of mRNA.

Secretin is an endocrine hormone that stimulates the secretion of bicarbonate-rich pancreatic fluids. Recently, it has been discussed that secretin deficiency may be implicated in autistic syndrome, suggesting that the hormone could have a neuroendocrine function in addition to its role in digestion. In the present study, the human secretin gene (SCT) was isolated from a bacterial artificial chromosome genomic library. SCT contains four exons, with the protein coding regions spanning 713 bp of genomic DNA. Human SCT is similar structurally to the secretin genes of other species. Amino acid conservation, however, is most pronounced within the exon encoding the biologically active mature peptide. Northern blot analysis shows that human SCT transcripts are located in the spleen, intestinal tract, and brain. Radiation hybrid mapping places the SCT locus on chromosome 11p15.5.

Amino Acid Sequence↗
PubMed2004

GermOnline, a cross-species community knowledgebase on germ cell differentiation.

GermOnline provides information and microarray expression data for genes involved in mitosis and meiosis, gamete formation and germ line development across species. The database has been developed, and is being curated and updated, by life scientists in cooperation with bioinformaticists. Information is contributed through an online form using free text, images and the controlled vocabulary developed by the GeneOntology Consortium. Authors provide up to three references in support of their contribution. The database is governed by an international board of scientists to ensure a standardized data format and the highest quality of GermOnline's information content. Release 2.0 provides exclusive access to microarray expression data from Saccharomyces cerevisiae and Rattus norvegicus, as well as curated information on approximately 700 genes from various organisms. The locus report pages include links to external databases that contain relevant annotation, microarray expression and proteome data. Conversely, the Saccharomyces Genome Database (SGD), S.cerevisiae GeneDB and Swiss-Prot link to the budding yeast section of GermOnline from their respective locus pages. GermOnline, a fully operational prototype subject-oriented knowledgebase designed for community annotation and array data visualization, is accessible at http://www.germonline.org. The target audience includes researchers who work on mitotic cell division, meiosis, gametogenesis, germ line development, human reproductive health and comparative genomics.

Animals↗
PubMed2006

Biomarkers for amyotrophic lateral sclerosis.

Amyotrophic lateral sclerosis (ALS) is the most common form of motor neuron disease. ALS is a fatal neurodegenerative disease and clinical diagnosis typically takes many months to complete. Early disease diagnosis through the use of biomarkers may aid in correct clinical management of patients and possibly delay time to ventilator and morbidity. This review explores the progress of biomarker discovery efforts for ALS and the many challenges that remain. Included are different technologies utilized in biomarker discovery efforts (proteomic, genomic and metabolomic) and putative biomarkers uncovered using these techniques. These studies have discovered genetic mutations leading to familial forms of ALS, and specific protein alterations that occur in biological fluids (cerebrospinal fluid and blood) and/or tissues of ALS subjects. More recent high-throughput technologies have revealed panels of proteomic or metabolic biomarkers that can discriminate between ALS and control groups. The identification of disease-specific biomarkers will provide opportunities to develop early diagnostic measures as well as surrogate markers to monitor disease progression and test drug efficacy in clinical trials.

Algorithms↗
PubMed2004

Mitochondrial building blocks.

Despite many genomic and proteomic attempts, approximately half of all mitochondrial proteins remain unidentified. Moreover, the composition of mitochondria varies in different mammalian cell types and the details of this tissue specificity are unclear. Two recent reports provide a major advance in our understanding of mitochondrial function. Sickmann et al. used an exhaustive proteomic approach and came very close to identifying the complete set of yeast mitochondrial proteins. Mootha et al. examined mitochondria from mouse brain, heart, kidney and liver cells, finding that a surprising fraction of the proteins are expressed in only a subset of tissues.

Animals↗
PubMed2004

A strategy for assembling the maize (Zea mays L.) genome.

UNLABELLED: Because the bulk of the maize (Zea mays L.) genome consists of repetitive sequences, sequencing efforts are being targeted to its 'gene-rich' fraction. Traditional assembly programs are inadequate for this approach because they are optimized for a uniform sampling of the genome and inherently lack the ability to differentiate highly similar paralogs. RESULTS: We report the development of bioinformatics tools for the accurate assembly of the maize genome. This software, which is based on innovative parallel algorithms to ensure scalability, assembled 730,974 genomic survey sequences fragments in 4 h using 64 Pentium III 1.26 GHz processors of a commodity cluster. Algorithmic innovations are used to reduce the number of pairwise alignments significantly without sacrificing quality. Clone pair information was used to estimate the error rate for improved differentiation of polymorphisms versus sequencing errors. The assembly was also used to evaluate the effectiveness of various filtering strategies and thereby provide information that can be used to focus subsequent sequencing efforts.

Algorithms↗
PubMed2006

Genomic DNA functions as a universal external standard in quantitative real-time PCR.

Real-time quantitative PCR (qPCR) is a powerful tool for quantifying specific DNA target sequences. Although determination of relative quantity is widely accepted as a reliable means of measuring differences between samples, there are advantages to being able to determine the absolute copy numbers of a given target. One approach to absolute quantification relies on construction of an accurate standard curve using appropriate external standards of known concentration. We have validated the use of tissue genomic DNA as a universal external standard to facilitate quantification of any target sequence contained in the genome of a given species, addressing several key technical issues regarding its use. This approach was applied to validate mRNA expression of gene candidates identified from microarray data and to determine gene copies in transgenic mice. A simple method that can assist achieving absolute quantification of gene expression would broadly enhance the uses of real-time qPCR and in particular, augment the evaluation of global gene expression studies.

Animals↗
PubMed2003

Diagnostic markers that distinguish colon and ovarian adenocarcinomas: identification by genomic, proteomic, and tissue array profiling.

Colon and ovarian cancers can be difficult to distinguish in the abdomen, and the distinction is important because it determines which drugs will be used for therapy. To identify molecular markers for that differential diagnosis, we developed a multistep protocol starting with the 60 human cancer cell lines used by the National Cancer Institute to screen for new anticancer agents. The steps included: (a) identification of candidate markers using cDNA microarrays; (b) verification of clone identities by resequencing; (c) corroboration of transcript levels using Affymetrix oligonucleotide chips; (d) quantitation of protein expression by "reverse-phase" protein microarray; and (e) prospective validation of candidate markers on clinical tumor sections in tissue microarrays. The two best candidates identified were villin for colon cancer cells and moesin for ovarian cancer cells. Because moesin stained stromal elements in both types of cancer, it would probably not have been identified as a marker if we had started with mRNA or protein profiling of bulk tumors. Villin appears at least as useful as the currently used colon cancer marker cytokeratin 20, and moesin also appears to have utility. The multistep process introduced here has the potential to produce additional markers for cancer diagnosis, prognosis, and therapy.

Adenocarcinoma↗
PubMed2002

Genomics: an in vitro toxicology point of view.

Genomics, and in particular its derived discipline, toxicogenomics, are rapidly developing technologies, which permit studies on the impact of chemicals and drugs on gene expression in particular biological systems. Enormous amounts of data will be provided in the context of mechanistic and predictive toxicology from the use of the DNA microarray approach for the simultaneous analysis of the expression pattern of multiple genes. The high-throughput requirement of these approaches necessitate in vitro cell culture systems. This article will give a short overview of the areas of ECVAM's research in which this technology will initially be applied.

Animal Testing Alternatives↗
PubMed2005

Comparative genomics on FGF7, FGF10, FGF22 orthologs, and identification of fgf25.

FGF family members are key molecules for the integrome network in the fields of oncology and regenerative medicine. Based on the comparative genomics on the CCND1-ORAOV1-FGF19-FGF4 locus, we demonstrated that rodent Fgf15 is the ortholog of human FGF19 in 2003. FGF7 (KGF), FGF10, and FGF22 constitute a subfamily among FGF family members. Here, comparative genomics analyses and comparative proteomics analyses on FGF7, FGF10, and FGF22 orthologs were performed. Chicken fgf22, zebrafish fgf22 and fgf25 genes, consisting of three exons, were identified within AC150066.1, BX927243.9 and CR854981.2 genome sequences, respectively. Zebrafish fgf22 (207 aa) showed 46.9%, 48.6% and 53.5% total amino-acid identity with human FGF7, FGF10 and FGF22, respectively. Zebrafish fgf25 (186 aa) showed 39.2%, 52.9% and 45.9% total amino-acid identity with human FGF7, FGF10 and FGF22, respectively. Phylogenetic analyses revealed that zebrafish fgf25 belongs to the FGF10 ortholog group. Zebrafish fgf25 was a novel FGF family member generated by the duplication of fgf10. FGF10-MRPS30-HCN1 locus at human chromosome 5p12 and FGF22-POLRMT-HCN2 locus at 19p13.3 were paralogous regions within the human genome. FGF7 mRNA was expressed in fetal heart, placenta, lung, kidney, and blood vessels. FGF10 mRNA was expressed in fetal lung, placenta, and uterus. FGF22 mRNA was expressed in hippocampus and ovarian fibrotheoma. FGF7 promoter with bHLH biding site and CCAAT box and FGF10 promoter with double bHLH biding sites were conserved well, while FGF22 promoter was significantly divergent. This is the first report on fgf25 gene and also on the comparative integromics analyses of FGF7, FGF10 and FGF22 orthologs.

5' Flanking Region↗
PubMed2002

Database resources of the National Center for Biotechnology Information: 2002 update.

In addition to maintaining the GenBank nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides data analysis and retrieval resources that operate on the data in GenBank and a variety of other biological data made available through NCBI's web site. NCBI data retrieval resources include Entrez, PubMed, LocusLink and the Taxonomy Browser. Data analysis resources include BLAST, Electronic PCR, OrfFinder, RefSeq, UniGene, HomoloGene, Database of Single Nucleotide Polymorphisms (dbSNP), Human Genome Sequencing, Human MapViewer, Human inverted exclamation markVMouse Homology Map, Cancer Chromosome Aberration Project (CCAP), Entrez Genomes, Clusters of Orthologous Groups (COGs) database, Retroviral Genotyping Tools, SAGEmap, Gene Expression Omnibus (GEO), Online Mendelian Inheritance in Man (OMIM), the Molecular Modeling Database (MMDB) and the Conserved Domain Database (CDD). Augmenting many of the web applications are custom implementations of the BLAST program optimized to search specialized data sets. All of the resources can be accessed through the NCBI home page at http://www.ncbi.nlm.nih.gov.

Amino Acid Sequence↗
PubMed2004

CONFAC: automated application of comparative genomic promoter analysis to DNA microarray datasets.

The advent of DNA microarray technology and the sequencing of multiple vertebrate genomes has provided a unique opportunity for the integration of comparative genomics with high-throughput gene expression analysis. Here we describe the conserved transcription factor binding site (CONFAC) software that enables the high-throughput identification of conserved transcription factor binding sites (TFBSs) in the regulatory regions of hundreds of genes at a time (http://morenolab.whitehead.emory.edu/cgi-bin/confac/login.pl). The CONFAC software compares non-coding regulatory sequences between human and mouse genomes to enable identification of conserved TFBSs that are significantly enriched in promoters of gene clusters from microarray analyses compared to sets of unchanging control genes using a Mann-Whitney U-test. Analysis of random gene sets demonstrated that using our approach, over 98% of TFBSs had false positive rates below 5%. As a proof-of-principle, we have validated the CONFAC software using gene sets from four separate microarray studies and identified TFBSs known to be functionally important for regulation of each of the four gene sets.

Animals↗
PubMed2006

Are microRNAs located in genomic regions associated with cancer?

We report on the location of 283 miRNAs in the human genome in relation to copy number changes in three distinct types of tumours: prostate, bladder and colon. In prostate and colon tumours, we find miRNAs over-represented in regions with copy number gain and under-represented in regions with copy number loss. Surprisingly this pattern appears to be reversed in bladder cancer. We compared our miRNA copy number data to published miRNA expression data; unexpectedly, we did not find a statistically significant relationship between miRNA copy number and expression level. This suggests that miRNA expression is regulated through different mechanisms than mRNA expression.

Colonic Neoplasms↗
PubMed2004

ReDiT: Repeat Discrepancy Tagger--a shotgun assembly finishing aid.

UNLABELLED: Finishing, i.e. gap closure and editing, is the most time-consuming part of genome sequencing. Repeated sequences together with sequencing errors complicate the assembly and often result in misassemblies that are difficult to correct. Repeat Discrepancy Tagger (ReDiT) is a tool designed to aid in the finishing step. This software processes assembly results produced by any fragment assembly program that outputs ace files. The input sequences are analyzed to determine possible differences between repeated sequences. The output is written as tags in an ace file that can be viewed by, e.g. the Consed sequence editor. AVAILABILITY: The ReDiT program is freely available at http://web.cgb.ki.se/redit

Algorithms↗