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Results for “Genomic profiling”

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At least 1,135 records · Page 63Linked to original sources
PubMed2004

Serial analysis of gene expression (SAGE) during porcine embryo development.

Functional genomics provides a powerful means for delving into the molecular mechanisms involved in pre-implantation development of porcine embryos. High rates of embryonic mortality (30%), following either natural mating or artificial insemination, emphasise the need to improve the efficiency of reproduction in the pig. The poor success rate of live offspring from in vitro-manipulated pig embryos also hampers efforts to generate transgenic animals for biotechnology applications. Previous analysis of differential gene expression has demonstrated stage-specific gene expression for in vivo-derived embryos and altered gene expression for in vitro-derived embryos. However, the methods used to date examine relatively few genes simultaneously and, thus, provide an incomplete glimpse of the physiological role of these genes during embryogenesis. The present review will focus on two aspects of applying functional genomics research strategies for analysing the expression of genes during elongation of pig embryos between gestational day (D) 11 and D12. First, we compare and contrast current methodologies that are being used for gene discovery and expression analysis during pig embryo development. Second, we establish a paradigm for applying serial analysis of gene expression as a functional genomics tool to obtain preliminary information essential for discovering the physiological mechanisms by which distinct embryonic phenotypes are derived.

Animals↗
PubMed2004

Rapid and sensitive dot-matrix methods for genome analysis.

MOTIVATION: Dot-matrix plots are widely used for similarity analysis of biological sequences. Many algorithms and computer software tools have been developed for this purpose. Though some of these tools have been reported to handle sequences of a few 100 kb, analysis of genome sequences with a length of >10 Mb on a microcomputer is still impractical due to long execution time and computer memory requirement. RESULTS: Two dot-matrix comparison methods have been developed for analysis of large sequences. The methods initially locate similarity regions between two sequences using a fast word search algorithm, followed with an explicit comparison on these regions. Since the initial screening removes most of random matches, the computing time is substantially reduced. The methods produce high quality dot-matrix plots with low background noise. Space requirements are linear, so the algorithms can be used for comparison of genome size sequences. Computing speed may be affected by highly repetitive sequence structures of eukaryote genomes. A dot-matrix plot of Yeast genome (12 Mb) with both strands was generated in 80 s with a 1 GHz personal computer.

Algorithms↗
PubMed2001

Genomic approaches to the pathogenesis of hematologic malignancy.

Recent advances in genome technologies and computational biology have facilitated genome-wide views of hematologic malignancy. In particular, comparative gene expression methods using DNA microarrays have allowed for the analysis of gene expression patterns in both primary patient material and model systems of hematopoietic development. This review provides an overview of the basic technologies underlying these approaches and provides a summary of recent progress in the genome-wide molecular classification of human acute leukemias and lymphomas and of initial attempts to define oncogene-mediated transcriptional programs using DNA microarrays.

Acute Disease↗
PubMed2005

Multiple sequence alignment accuracy and evolutionary distance estimation.

BACKGROUND: Sequence alignment is a common tool in bioinformatics and comparative genomics. It is generally assumed that multiple sequence alignment yields better results than pair wise sequence alignment, but this assumption has rarely been tested, and never with the control provided by simulation analysis. This study used sequence simulation to examine the gain in accuracy of adding a third sequence to a pair wise alignment, particularly concentrating on how the phylogenetic position of the additional sequence relative to the first pair changes the accuracy of the initial pair's alignment as well as their estimated evolutionary distance. RESULTS: The maximal gain in alignment accuracy was found not when the third sequence is directly intermediate between the initial two sequences, but rather when it perfectly subdivides the branch leading from the root of the tree to one of the original sequences (making it half as close to one sequence as the other). Evolutionary distance estimation in the multiple alignment framework, however, is largely unrelated to alignment accuracy and rather is dependent on the position of the third sequence; the closer the branch leading to the third sequence is to the root of the tree, the larger the estimated distance between the first two sequences. CONCLUSION: The bias in distance estimation appears to be a direct result of the standard greedy progressive algorithm used by many multiple alignment methods. These results have implications for choosing new taxa and genomes to sequence when resources are limited.

Algorithms↗
PubMed2005

Functional genomics in antibacterial drug discovery.

Antibacterial drug discovery has experienced a paradigm shift from phenotypic screening for antibacterial activity to rational inhibition of preselected targets. Functional genomics techniques are implemented at various stages of the early drug discovery process and play a central role in target validation and mode of action determination. The spectrum of methods ranges from genetic manipulations (e.g. knockout studies, mutation analyses and the construction of conditional mutants) to transcriptome and proteome expression profiling. Functional genomics supports antibacterial drug discovery by improving knowledge on gene function, bacterial physiology and virulence and the effects of antibiotics on bacterial metabolism.

Animals↗
PubMed2026

Single-nucleotide transcription start sites profiling via Nascent Strand-Specific RNA sequencing uncovers IFN-γ-induced promoter dynamics.

Transcriptional regulation is a highly dynamic process in which nascent RNAs provide the most immediate readout of transcriptional activity. Precise mapping of transcription start sites (TSSs) is therefore critical for understanding promoter architecture and gene regulation, yet remains technically challenging. Here, we introduce Nascent Strand-Specific RNA sequencing (NSS-seq), a robust and streamlined method for genome-wide profiling of the capped 5' ends of nascent RNAs. By directly capturing transcription initiation events, NSS-seq overcomes the temporal delay inherent to conventional RNA-seq and enables time-resolved interrogation of transcriptional dynamics. Applied to interferon-γ (IFN-γ)-stimulation, NSS-seq uncovers previously unrecognized IFN-γ-responsive genes and transient transcription factor activation patterns underlying interferon-mediated tumor-suppressive functions. Together, NSS-seq provides a cost-effective and technically accessible platform for dissecting promoter-level regulatory dynamics during cellular responses.

Promoter Regions, Genetic↗
PubMed2003

Disease genes and intracellular protein networks.

By a computational approach we reconstructed genomic transcriptional profiles of 19 different adult human tissues, based on information on activity of 27,924 genes obtained from unbiased UniGene cDNA libraries. In each considered tissue, a small number of genes resulted highly expressed or "tissue specific." Distribution of gene expression levels in a tissue appears to follow a power law, thus suggesting a correspondence between transcriptional profile and "scale-free" topology of protein networks. The expression of 737 genes involved in Mendelian diseases was analyzed, compared with a large reference set of known human genes. Disease genes resulted significantly more expressed than expected. The possible correspondence of their products to important nodes of intracellular protein network is suggested. Auto-organization of the protein network, its stability in time in the differentiated state, and relationships with the degree of genetic variability at genome level are discussed.

Adult↗
PubMed2004

BugView: a browser for comparing genomes.

UNLABELLED: BugView is a Java application for visualizing homologous genes on a pair of related genomes, and can also be used to view individual genomes. It accepts files of prokaryotic or eukaryotic genomes in GenBank format and allows users to assign homologous pairs, and make and save annotations. AVAILABILITY: http://www.gla.ac.uk/~dpl1n/BugView/

Computer Graphics↗
PubMed2005

ECgene: genome annotation for alternative splicing.

ECgene provides annotation for gene structure, function and expression, taking alternative splicing events into consideration. The gene-modeling algorithm combines the genome-based expressed sequence tag (EST) clustering and graph-theoretic transcript assembly procedures. The website provides several viewers and applications that have many unique features useful for the analysis of the transcript structure and gene expression. The summary viewer shows the gene summary and the essence of other annotation programs. The genome browser and the transcript viewer are available for comparing the gene structure of splice variants. Changes in the functional domains by alternative splicing can be seen at a glance in the transcript viewer. We also provide two unique ways of analyzing gene expression. The SAGE tags deduced from the assembled transcripts are used to delineate quantitative expression patterns from SAGE libraries available publically. Furthermore, the cDNA libraries of EST sequences in each cluster are used to infer qualitative expression patterns. It should be noted that the ECgene website provides annotation for the whole transcriptome, not just the alternatively spliced genes. Currently, ECgene supports the human, mouse and rat genomes. The ECgene suite of tools and programs is available at http://genome.ewha.ac.kr/ECgene/.

Algorithms↗
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↗
PubMed2006

Global gene expression and phenotypic analysis of a Vibrio cholerae rpoH deletion mutant.

Vibrio cholerae, the cause of cholera, can grow in a variety of environments outside of human hosts. During infection, this pathogen must adapt to significant environmental alterations, including the elevated temperature of the human gastrointestinal tract. Sigma(32), an alternative sigma factor encoded by rpoH, activates transcription of genes involved in the heat shock response in several bacterial species. Here, we assessed the role of sigma(32) in V. cholerae physiology. In aggregate, our findings suggest that sigma(32) promotes V. cholerae growth at temperatures ranging at least from 15 degrees C to 42 degrees C. Growth of the rpoH mutant was severely attenuated within the suckling mouse intestine, suggesting that sigma(32)-regulated genes are critical for V. cholerae adaptation to conditions within the gastrointestinal tract. We defined the V. cholerae RpoH regulon by comparing the whole-genome transcription profiles of the wild-type and rpoH mutant strains after a temperature up-shift. Most of the V. cholerae genes expressed in an RpoH-dependent manner after heat shock encode proteins that influence protein fate, such as proteases and chaperones, or are of unknown function. Bioinformatic analyses of the microarray data were used to define a putative sigma(32) consensus binding sequence and subsequently to identify genes that are likely to be directly regulated by RpoH in the whole V. cholerae genome.

Animals↗
PubMed2004

Identification of Ald6p as the target of a class of small-molecule suppressors of FK506 and their use in network dissection.

FK506 inhibits the Ca2+/calmodulin-dependent protein phosphatase calcineurin, which plays a critical role in yeast subjected to salt stress. A chemical genetic screen for small molecules that suppress growth inhibition by high NaCl plus FK506 identified a structurally related class of suppressors of FK506 (SFKs) named SFKs 2-4. To identify possible protein targets for these small molecules, a genome-wide screen of approximately 4,700 haploid yeast deletion strains was undertaken for strains showing resistance to high NaCl plus FK506. This screen yielded a number of genes not previously implicated in salt stress, including ALD6, which encodes an NADP(+)-dependent aldehyde dehydrogenase, and UTR1, which encodes an NAD+ kinase. Transcriptional profiling of yeast treated with SFK2 indicated that the SFKs target the Ald6p pathway. In addition, screening of the deletion strains for hypersensitivity to SFK2 yielded ZWF1, encoding glucose-6-phosphate dehydrogenase, which has been shown to play an overlapping role with Ald6p in NADPH production. Furthermore, the SFKs inhibited the activity of Ald6p in vitro. Having established that the SFKs target Ald6p, they were used as tools to implicate systematically other gene products in the Ald6p pathway, including Utr1p, which may function by supplying Ald6p with its NADP+ cofactor. Furthermore, growth improvement by the SFKs on high NaCl plus FK506 was shown to require GPD1, which encodes an NADH-dependent glycerol-3-phosphate dehydrogenase that is important for the production of glycerol in response to osmotic stress.

Aldehyde Dehydrogenase↗
PubMed2005

A novel expression system for genomic DNA loci using a human artificial chromosome vector with transformation-associated recombination cloning.

Following the recent completion of the human genome sequence, genomics research has shifted its focus to understanding gene complexity, expression, and regulation. However, in order to investigate such issues, there is a need to develop a practical system for genomic DNA expression. Transformation-associated recombination (TAR) cloning has proven to be a convenient tool for selective isolation of a genetic locus from a complex genome as a circular YAC using recombination in yeast. The human artificial chromosome (HAC) vector containing an acceptor loxP site has served as a platform for the reproducible expression of transgenes. In this study, we describe a system that efficiently expresses a genetic locus in mammalian cells by retrofitting a TAR-YAC with the donor loxP site and loading it onto the HAC vector by the Cre/loxP system. In order to demonstrate functional expression of genomic loci, the entire human hypoxanthine phosphoribosyl transferase (HPRT) locus contained in a 100 kb YAC was loaded onto the HAC vector and was shown to complement the genetic defect in Hprt-deficient CHO cells. Thus, the combination of TAR cloning and the HAC vector may serve as a powerful tool for functional genomic studies.

Animals↗
PubMed2004

Gene and enhancer trap tagging of vascular-expressed genes in poplar trees.

We report a gene discovery system for poplar trees based on gene and enhancer traps. Gene and enhancer trap vectors carrying the beta-glucuronidase (GUS) reporter gene were inserted into the poplar genome via Agrobacterium tumefaciens transformation, where they reveal the expression pattern of genes at or near the insertion sites. Because GUS expression phenotypes are dominant and are scored in primary transformants, this system does not require rounds of sexual recombination, a typical barrier to developmental genetic studies in trees. Gene and enhancer trap lines defining genes expressed during primary and secondary vascular development were identified and characterized. Collectively, the vascular gene expression patterns revealed that approximately 40% of genes expressed in leaves were expressed exclusively in the veins, indicating that a large set of genes is required for vascular development and function. Also, significant overlap was found between the sets of genes responsible for development and function of secondary vascular tissues of stems and primary vascular tissues in other organs of the plant, likely reflecting the common evolutionary origin of these tissues. Chromosomal DNA flanking insertion sites was amplified by thermal asymmetric interlaced PCR and sequenced and used to identify insertion sites by reference to the nascent Populus trichocarpa genome sequence. Extension of the system was demonstrated through isolation of full-length cDNAs for five genes of interest, including a new class of vascular-expressed gene tagged by enhancer trap line cET-1-pop1-145. Poplar gene and enhancer traps provide a new resource that allows plant biologists to directly reference the poplar genome sequence and identify novel genes of interest in forest biology.

Amino Acid Sequence↗
PubMed2005

A new strategy of cooperativity of biclustering and hierarchical clustering: a case of analyzing yeast genomic microarray datasets.

Hierarchical clustering is difficult to be deployed effectively in finding meaningful subtrees since genes rarely exhibit similar expression pattern across a wide range of conditions. It is also difficult to find a suitable level in cleaving a big hierarchy tree. Biclustering is a promising methodology in the field of the analysis of gene expression data of genechip. Generally it can be employed in identification of gene groups, which show a coherent expression profile across a subset of conditions. But in some cases of biclustering analysis of gene expressions, the genes in one bicluster are involved in more than one functional group, or all genes in one bicluster are involved in unknown functional groups (e.g. pattern VI and VIII in our studies). Then, how to predict the function of genes in these patterns? In the present research, we developed a new strategy of combining both of the clustering methods, hierarchical clustering and biclustering. The reserved conditions in datasets for hierarchical clustering were elicited according to the conditions in biclusters, and after hierarchical clustering, more detailed results in predicting unknown genes in certain patterns were obtained. This strategy of cooperating both of the methods during clustering procedure should be an effective guideline for functional predictions.

Cluster Analysis↗
PubMed2002

Emerging role of genomics in endometriosis research.

OBJECTIVE: Rapidly evolving methods in genomics and proteomics research already are changing the nature of biomedical investigation. In this report we briefly review some of the seminal technological advances that inspired the genomics revolution and describe their application in the field of endometriosis research. DESIGN: Review of different techniques successfully applied to endometriosis research. SETTING: Collaborative investigation in academic and pharmaceutical industry laboratories. PATIENT(S): Biopsies were obtained from consenting ovulatory women on no medications, with or without laparoscopically proven endometriosis. RESULT(S): Genomics techniques have confirmed gene products shown to be abnormally expressed in endometriotic tissues by prior studies. In addition, identification of novel transcripts not previously appreciated in this condition were discovered. Examples of dysregulated genes in endometriosis include glycodelin, complement, early growth response-1 and transducer of erbB-1. CONCLUSION(S): Global gene profiling studies are poised to revolutionize the diagnosis and treatment of endometriosis and other human diseases.

Biopsy↗