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Results for “Biological sequence analysis”

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At least 541 records · Page 30Linked to original sources
PubMed2005

A genome-wide screening of BEL-Pao like retrotransposons in Anopheles gambiae by the LTR_STRUC program.

The advanced status of assembly of the nematoceran Anopheles gambiae genomic sequence allowed us to perform a wide genome analysis to looking at the presence of Long Terminal Repeats (LTRs) in the range of 10 kb by means of the LTR_STRUC tool. More than three hundred sequences were retrieved and 210 were treated as putative complete retrotransposons that were individually analysed with respect to known retrotransposons of A. gambiae and D. melanogaster. The results show that the vast majority of the retrotransposons analysed belong to the Ty3/gypsy class and only 8% to the Ty1/copia class. In addition, phylogenetic analysis allowed us to characterize in more detail the relationship of a large BEL-Pao lineage in which a single family was shown to harbour an additional env gene.

Animals↗
PubMed2025

Guidelines to Analyze ChIP-Seq Data: Journey Through QC and Analysis Considerations.

ChIP-Seq is used to study DNA-protein interactions, unraveling chromatin states and gene regulatory properties of transcription factors. ChIP-Seq involves immunoprecipitation followed by sequencing using Next-Generation sequencing approaches. The ENCODE consortium provides extensive guidelines for ChIP-Seq analysis. Meanwhile, appropriate QC metrics and knowledge to interpret outcomes are essential for a good ChIP-Seq experiment. This chapter outlines the various QC metrics and analytical tools for ChIP-Seq analysis to provide a better understanding of the results.

Chromatin Immunoprecipitation Sequencing↗
PubMed1993

The variability of the hepatitis B virus genome: statistical analysis and biological implications.

A statistical analysis of the nucleotide sequence variability in 14 published hepatitis B virus (HBV) genomes was carried out using parametric and nonparametric methods. A parametric statistical model revealed that the different regions of the genome differed significantly in their variability. The conclusion was supported by a nonparametric kernel-density model of the HBV genome. Genes S, C, and P, region X, the precore region, and the pre-S2/pre-S1 regions were ranked in order of increasing variability. In many instances, conserved regions of the genome identified with sequences of known function in HBV biology. However, other characterized regions (such as pre-S) showed much variability despite the involvement of their encoded peptides in specific functions. Point mutations that may result in the formation of stop codons and amino acid changes may affect the clinical picture of HBV infection and may be reflected in atypical serological patterns.

Consensus Sequence↗
PubMed1995

Physical and biological characterization of a growth-inhibitory activity purified from the neuroepithelioma cell line A673.

Epithelial- and haematopoietic-cell growth-inhibitory activities have been identified in the conditioned medium of the human peripheral neuroepithelioma cell line A673. An A673-cell-derived growth-inhibitory activity was previously fractionated into two distinct components which inhibited the proliferation of human carcinoma and leukaemia cells in culture. One inhibitory activity was shown to comprise interleukin-1 alpha (IL-1 alpha). Here, we have purified to homogeneity a distinct activity which inhibited the growth of the epithelial cells in vitro. Using a combination of protein-sequence analysis and mass spectrometry, we demonstrated that biological activity can be assigned to a dimeric protein with a molecular mass of 25,576 (+/- 4) Da and an N-terminal sequence identical with that of transforming growth factor-beta 1 (TGF-beta 1). Further characterization of the growth inhibitor with TGF-beta-isoform-specific antibodies showed that > 90% of the bioactivity consists of TGF-beta 1 and not TGF-beta 2 or TGF-beta 3. Although A673 cells were growth-inhibited by exogenous TGF-beta 1, we showed that TGF-beta 1 in A673-cell-conditioned media was present in the latent, biologically inactive, form which did not act as an autocrine growth modulator of A673 cells in vitro.

Amino Acid Sequence↗
PubMedDate not supplied

[G-protein coupled peptide receptors and their ligands in human genome].

The G-protein coupled peptide receptors as well as their ligands, endogenous peptides, are involved in regulation of many important physiological processes in the organism and therefore represent attractive targets for pharmaceutical investigation and drug design. With the completion of the human draft genome sequencing, it has become possible to take a comprehensive picture of all genes encoding both peptide receptors and peptides themselves. In the present study a first attempt has been made to carry out a comprehensive analysis of G-protein coupled peptide receptors and their respective endogenous peptide ligands in the human genome. We searched the genome sequence by means of sequential application of standard bioinformatical methods (such as homology search, hierarchical cluster analysis, building of hmm-profiles etc.) with the goal of identifying all the components of peptide ligand/receptor system in the human genome. As a result of this search it was concluded that the probable number of functional peptide receptors in the human genome is 218, and the probable peptide precursors' number is 126 amino acid sequences. These two groups include, respectively, 12 novel G-protein coupled peptide receptors and 10 novel peptide precursors, discovered in the present study. The probable biological functions of newly discovered candidates were determined based on the sequence similarity to the earlier known proteins. Classification of all peptide GPCRs and their ligands based on the ligand specificity was performed for all probable G-protein coupled peptide receptors. The issue of ligand-receptor specificity in the human genome is also discussed.

Amino Acid Sequence↗
PubMed1984

A computer package for DNA sequence analysis.

We have developed a comprehensive software-hardware package for a CP/M based or other microcomputer which can perform four major functions in a molecular biology laboratory: (1) the acquisition and analysis of DNA sequence data, (2) word processing in the preparation of scientific manuscripts and figures, (3) general lab computation and data reduction, and (4) as a data terminal for communication of data over the phone line.

Base Sequence↗
PubMed2001

Increased throughput for fragment analysis on an ABI PRISM 377 automated sequencer using a membrane comb and STRand software.

This manuscript outlines our protocol for using a freely downloadable fragment analysis software package (STRand) together with a 96+4 RapidLoad membrane comb to increase throughput of samples for fragment analysis on ABI sequencers without costly upgrades from the manufacturer. We outline how using these products allows one to score 90 lanes of sample per gel on an ABI PRISM 377XL (64-lane sequencer), saving both time and money in the processing of samples. This protocol is a major modification to those suggested by the manufacturer. This protocol gives more consistent results that are easier to score than standard protocols, and it reduces reagent costs. Interest in fragment analysis (primarily microsatellites and AFLPs) is steadily increasing among both population ecologists and geneticists, and methods that simultaneously increase sample throughput while reducing costs associated with these analyses by over 50% per gel should prove useful to anyone using an ABI, MJ Basestation, or LI-COR automated sequencer for fragment analysis.

Computational Biology↗
PubMed2006

Simulation of microarray data with realistic characteristics.

BACKGROUND: Microarray technologies have become common tools in biological research. As a result, a need for effective computational methods for data analysis has emerged. Numerous different algorithms have been proposed for analyzing the data. However, an objective evaluation of the proposed algorithms is not possible due to the lack of biological ground truth information. To overcome this fundamental problem, the use of simulated microarray data for algorithm validation has been proposed. RESULTS: We present a microarray simulation model which can be used to validate different kinds of data analysis algorithms. The proposed model is unique in the sense that it includes all the steps that affect the quality of real microarray data. These steps include the simulation of biological ground truth data, applying biological and measurement technology specific error models, and finally simulating the microarray slide manufacturing and hybridization. After all these steps are taken into account, the simulated data has realistic biological and statistical characteristics. The applicability of the proposed model is demonstrated by several examples. CONCLUSION: The proposed microarray simulation model is modular and can be used in different kinds of applications. It includes several error models that have been proposed earlier and it can be used with different types of input data. The model can be used to simulate both spotted two-channel and oligonucleotide based single-channel microarrays. All this makes the model a valuable tool for example in validation of data analysis algorithms.

Algorithms↗
PubMed2004

Global uterine genomics in vivo: microarray evaluation of the estrogen receptor alpha-growth factor cross-talk mechanism.

Cross-talk between growth factor receptors and the estrogen receptor (ER) has been proposed as a signaling mechanism in estrogen target tissues, with ER(alpha) as a direct target of growth factor receptor-activated signals, leading to regulation of estrogen target genes and estrogen-like biological responses to growth factors. We evaluated whether global genomic changes in the mouse uterus in response to epidermal growth factor or IGF-I mimic those of estradiol (E2), reflecting the cross-talk mechanism. Overlapping responses to growth factors and E2 were expected in the wild type (WT) whereas no response was expected in mice lacking ER(alpha) (ER(alpha) knockout). Surprisingly, although most of the E2 response in the WT also occurred after growth factor treatment, some genes were induced only by E2. Second, although E2 did not induce gene changes in the ER(alpha) knockout, the growth factor response was almost indistinguishable from that of the WT. Differences in response of some genes to IGF-I or epidermal growth factor indicated selective regulation mechanisms, such as phosphatidylinositol 3-kinase or MAPK-dependent responses. The robust ER(alpha)-independent genomic response to growth factor observed here is surprising considering that the biological growth response is ER(alpha) dependent. We propose two mechanisms as alternatives to the cross-talk mechanism for uterine gene regulation. First, E2 increases uterine growth factors, which activate downstream signaling cascades, resulting in gene regulation. Second, growth factors and estrogen regulate similar genes. Our results suggest that the estrogen response in the uterus involves E2-specific ER(alpha)-mediated responses as well as responses resulting from convergence of growth factor and ER-initiated activities.

Alternative Splicing↗
PubMed2004

Cloning and expression of a novel esterase gene cpoA from Burkholderia cepacia.

AIMS: To screen and clone a novel enzyme with specific activity for the resolution of (R)-beta-acetylmercaptoisobutyrate (RAM) from (R,S)-beta-acetylmercaptoisobutyrate [(R,S)-ester]. METHODS AND RESULTS: A micro-organism that produces a novel esterase was isolated and identified as the bacterium Burkholderia cepacia by using the analysis of cellular fatty acids, Biolog automated microbial identification/characterization system, and 16S rRNA gene sequence analysis. A novel esterase gene was cloned from the chromosomal DNA of B. cepacia and was designated as cpoA. The cpoA encodes a polypeptide of 273 amino acids which shows a strong sequence homology with many bacterial nonhaeme chloroperoxidases. In addition, a typical serine-hydrolase motif, Gly-X-Ser-X-Gly, and the highly conserved catalytic triad, Ser95, Asp224, and His253, were identified in the deduced amino acid sequence of cpoA by multiple sequence alignment. CONCLUSION: The cpoA cloned from B. cepacia encodes a novel esterase which is highly related to the nonhaeme chloroperoxidases. SIGNIFICANCE AND IMPACT OF THE STUDY: This is the first report that describes the isolation and cloning of a serine esterase gene from B. cepacia, which is useful in the chiral resolution of (R,S)-ester. The cloned gene will allow additional research on the bifunctionality of the enzyme with esterase and chloroperoxidase activity at the structural and functional levels.

Amino Acid Sequence↗
PubMed2006

Duplication of the mmoX gene in Methylosinus sporium: cloning, sequencing and mutational analysis.

The soluble methane monooxygenase (sMMO) is a key enzyme for methane oxidation, and is found in only some methanotrophs, including Methylosinus sporium 5. sMMO expression is regulated at the level of transcription from a sigma(54) promoter by a copper-switch, and is only expressed when the copper-to-biomass ratio during growth is low. Extensive phylogenetic and genetic analyses of sMMOs and other soluble di-iron monooxygenases reveal that these enzymes have only been acquired relatively recently through horizontal gene transfer. In this study, further evidence of horizontal gene transfer was obtained, through cloning and sequencing of the genes encoding the sMMO enzyme complex plus the regulatory genes mmoG and mmoR, and identification of a duplicate copy of the mmoX gene in Ms. sporium. mmoX encodes the alpha subunit of the hydroxylase of the sMMO enzyme, which constitutes the active site (Prior & Dalton, 1985). The mmoX genes were characterized at the molecular and biochemical levels. Although both copies were transcribed, only mmoX copy 1 was essential for sMMO activity. Construction of an sMMO(-) mutant by marker-exchange mutagenesis gave some possible insights into the role of the water-soluble pigment in siderophore-mediated iron acquisition. Finally, the amenability of Ms. sporium to genetic manipulation was demonstrated by complementing the sMMO(-) mutant by heterologous expression of sMMO genes from Methylosinus trichosporium OB3b and Methylococcus capsulatus (Bath), and it was shown that Ms. sporium could be used as an alternative model organism for molecular analysis of MMO regulation.

Binding Sites↗
PubMed2005

Gene expression profiling revealed novel molecular targets of docetaxel and estramustine combination treatment in prostate cancer cells.

Both docetaxel and estramustine are antimicrotubule agents with antitumor activity in various cancers including prostate cancer. Clinical trials for docetaxel and estramustine combination treatment have suggested improved antitumor activity in hormone-refractory prostate cancer. However, the molecular mechanisms involved in the combination treatment with docetaxel and estramustine have not been fully elucidated. In order to establish such molecular mechanisms in both hormone insensitive (PC-3) and sensitive (LNCaP) prostate cancer cells, gene expression profiles of docetaxel- and estramustine-treated prostate cancer cells were obtained by using Affymetrix Human Genome U133A Array. Total RNA from PC-3 and LNCaP cells untreated and treated with 2 nmol/L docetaxel, 4 micromol/L estramustine, or 1 nmol/L docetaxel plus 2 micromol/L estramustine for 6, 36, and 72 hours was subjected to microarray analysis. Real-time PCR and Western blot analysis were conducted to confirm the microarray data. Clustering analysis based on biological function showed that docetaxel and estramustine combination treatment down-regulated some genes that are known to regulate cell proliferation, transcription, translation, and oncogenesis. In contrast, docetaxel and estramustine combination treatment up-regulated some genes related to induction of apoptosis, cell cycle arrest, and tumor suppression. Docetaxel and estramustine also showed differential effects on gene expression between mono- and combination treatment. Combination treatment with docetaxel and estramustine caused alternations of a large number of genes, many of which may contribute to the molecular mechanisms by which docetaxel and estramustine inhibit the growth of prostate cancer cells. These results provide novel molecular targets of docetaxel and estramustine combination treatment in prostate cancer cells. This information could be utilized for further mechanistic research and for devising optimized therapeutic strategies against prostate cancer.

Antineoplastic Agents↗
PubMed2004

ToPNet--an application for interactive analysis of expression data and biological networks.

SUMMARY: ToPNet is a new tool for the combined visualization and exploration of gene networks and expression data. ToPNet provides various ways of restricting, manipulating and combining biological networks according to annotation data (e.g. Gene Ontology terms) and presents results to the user via different visualization procedures and hyperlinks to the underlying data sources. To easily identify relevant parts of the network, ToPNet provides a method of detecting significant subnetworks with respect to expression measurements. As ToPNet is a pure JAVA application with additional scripting capabilities, it is well-suited as a test-bed for algorithm development and exploratory biological data analysis alike. AVAILABILITY: ToPNet is freely available for academic institutions at http://www.biosolveit.de/ToPNet/

Computer Graphics↗
PubMed2006

A novel prognostic subtype of human hepatocellular carcinoma derived from hepatic progenitor cells.

The variability in the prognosis of individuals with hepatocellular carcinoma (HCC) suggests that HCC may comprise several distinct biological phenotypes. These phenotypes may result from activation of different oncogenic pathways during tumorigenesis and/or from a different cell of origin. Here we address whether the transcriptional characteristics of HCC can provide insight into the cellular origin of the tumor. We integrated gene expression data from rat fetal hepatoblasts and adult hepatocytes with HCC from human and mouse models. Individuals with HCC who shared a gene expression pattern with fetal hepatoblasts had a poor prognosis. The gene expression program that distinguished this subtype from other types of HCC included markers of hepatic oval cells, suggesting that HCC of this subtype may arise from hepatic progenitor cells. Analyses of gene networks showed that activation of AP-1 transcription factors in this newly identified HCC subtype might have key roles in tumor development.

Aged↗
PubMed2006

An interactive tool for visualization of relationships between gene expression profiles.

BACKGROUND: Application of phenetic methods to gene expression analysis proved to be a successful approach. Visualizing the results in a 3-dimentional space may further enhance these techniques. RESULTS: We designed and built TreeBuilder3D, an interactive viewer for visualizing the hierarchical relationships between expression profiles such as SAGE libraries or microarrays. The program allows loading expression data as plain text files and visualizing the relative differences of the analyzed datasets in 3-dimensional space using various distance metrics. CONCLUSION: TreeBuilder3D provides a simple interface and has a small size. Written in Java, TreeBuilder3D is a platform-independent, open source application, which may be useful in analysis of large-scale gene expression data.

Algorithms↗
PubMed2002

Genesis: cluster analysis of microarray data.

A versatile, platform independent and easy to use Java suite for large-scale gene expression analysis was developed. Genesis integrates various tools for microarray data analysis such as filters, normalization and visualization tools, distance measures as well as common clustering algorithms including hierarchical clustering, self-organizing maps, k-means, principal component analysis, and support vector machines. The results of the clustering are transparent across all implemented methods and enable the analysis of the outcome of different algorithms and parameters. Additionally, mapping of gene expression data onto chromosomal sequences was implemented to enhance promoter analysis and investigation of transcriptional control mechanisms.

Algorithms↗
PubMed2002

The genome sequence and structure of rice chromosome 1.

The rice species Oryza sativa is considered to be a model plant because of its small genome size, extensive genetic map, relative ease of transformation and synteny with other cereal crops. Here we report the essentially complete sequence of chromosome 1, the longest chromosome in the rice genome. We summarize characteristics of the chromosome structure and the biological insight gained from the sequence. The analysis of 43.3 megabases (Mb) of non-overlapping sequence reveals 6,756 protein coding genes, of which 3,161 show homology to proteins of Arabidopsis thaliana, another model plant. About 30% (2,073) of the genes have been functionally categorized. Rice chromosome 1 is (G + C)-rich, especially in its coding regions, and is characterized by several gene families that are dispersed or arranged in tandem repeats. Comparison with a draft sequence indicates the importance of a high-quality finished sequence.

Arabidopsis↗