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At least 1,747 records · Page 97Linked to original sources

PubMed2004

The splicing regulatory protein p18SRP is down-regulated in Alzheimer's disease brain.

Alzheimer's disease (AD) is the most common neurodegenerative disorder of aging, accounting for an estimated two-thirds of all cases of senile dementia. Using bioinformatics, the yeast two-hybrid-system, reverse transcription polymerase chain reaction, and fluorescence microscopy analysis, we demonstrate here that the new putative splicing regulatory protein p18SRP is a lysine-rich zinc finger domain-containing protein that interacts with the serine-arginine (SR)-rich splicing regulatory protein SRrp86. The additional finding of its down-regulation in the brain of AD subjects points to a possible pivotal role of p18SRP in the control of cellular survival.

Aged↗

PubMed2003

Genetic analysis of psychiatric disorders associated with human chromosome 18.

Current models on the etiology of psychiatric disorders support the idea of a biologic cause as well as interactions of biologic systems with the environment. The elucidation of the genetic etiology is of paramount importance to understand the cause of psychiatric disorders. Human chromosome 18 was identified as one of the first chromosomes to be aberrant in psychiatric patients and has subsequently served as a model to identify the molecular cause. In this article I review a multitude of methodologies that can be used in determining the genetic basis of schizophrenia, affective disorder and autism associated with human chromosome 18. These strategies include the use of chromosome aberrations, linkage and association studies, mouse-human comparative genomics, mutation analysis on candidate genes, trinucleotide repeat expansion studies, search for genes demonstrating parental effects and bioinformatics. Current data from the use of these methods are cited from the literature. Linkage and association studies have suggested at least 2 candidate loci on the short and long arms of chromosome 18 for each of these psychiatric disorders. Some loci are supported by the mapping of chromosome aberrations from psychiatric patients. Mutation analyses of psychiatric patients with 4 candidate genes (NEDD4L, IMPA2, PACAP and GNAL) mapping within these loci have been unsuccessful, although an association was found with the IMPA2 gene in patients with schizophrenia. With these methods and findings, our understanding of the cause of psychiatric disorders associated with human chromosome 18 has improved and will advance, especially with emerging data from the human and rodent genome projects.

Animals↗

PubMedDate not supplied

[Isolation and characterization of a 2C-methyl-D-erythritol 2,4-cyclodiphosphate synthase gene from Taxus media].

2C-methyl-D-erythritol 2,4-cyclodiphosphate (MEC) synthase (MECS, EC: 4.6.1.12) is the fifth enzyme of the nonmevalonate terpenoid pathway for isopentenyl diphosphate biosynthesis and further Taxol biosynthesis. The full-length MECS cDNA sequence (GenBank accession number DQ286391) was cloned and characterized for the first time from Taxus media, using Rapid Amplification of cDNA Ends (RACE) technique. The full-length cDNA of Tmmecs was 1081 bp containing a 741 bp open reading frame (ORF) encoding a peptide of 247 amino acids with a calculated molecular mass of 26.1 kDa and an isoelectric point of 8.97. Comparative and bioinformatic analyses revealed that TmMECS had extensive homology with MECSs from other plant species. Phylogenetic analysis indicated that TmMECS was more ancient than other plant MECSs. Southern blot analysis revealed that Tmmecs belonged to a small gene family. Tissue expression pattern analysis indicated that Tmmecs expressed constitutively in all tissues including roots, stems and leaves. The cloning and characterization of Tmmecs will be helpful to understand more about the role of MECS involved in the Taxol biosynthesis at the molecular level.

Amino Acid Sequence↗

PubMed1998

The complete genome of Bacillus subtilis: from sequence annotation to data management and analysis.

The completion of the entire 4.2-Mb genome sequence of the gram-positive bacterium Bacillus subtilis has been a milestone for biological studies on this model organism. This paper describes bioinformatics work related to this joint European and Japanese project: methods and strategies for gene annotation and detection of sequencing errors, using an integrated cooperative computer environment (Imagene); construction of a specialized database for data management and a WWW server for data retrieval (SubtiList); DNA sequence analysis, yielding striking results on oligonucleotide bias, repeated sequences, and codon usage, all landmarks of evolutionary events shaping the B. subtilis genome.

Amino Acid Sequence↗

PubMed2006

Characterization of binding sites of eukaryotic transcription factors.

To explore the nature of eukaryotic transcription factor (TF) binding sites and determine how they differ from surrounding DNA sequences, we examined four features associated with DNA-binding sites: G+C content, pattern complexity, palindromic structure, and Markov sequence ordering. Our analysis of the regulatory motifs obtained from the TRANSFAC database, using yeast intergenic sequences as background, revealed that these four features show variable enrichment in motif sequences. For example, motif sequences were more likely to have palindromic structure than were background sequences. In addition, these features were tightly localized to the regulatory motifs, indicating that they are a property of the motif sequences themselves and are not shared by the general promoter "environment" in which the regulatory motifs reside. By breaking down the motif sequences according to the TF classes to which they bind, more specific associations were identified. Finally, we found that some correlations, such as G+C content enrichment, were species-specific, while others, such as complexity enrichment, were universal across the species examined. The quantitative analysis provided here should increase our understanding of protein-DNA interactions and also help facilitate the discovery of regulatory motifs through bioinformatics.

Animals↗

PubMed2026

Lipid Metabolism-related lncRNA Model Identifies AC026412.3 as a Driver of Fatty Acid β-oxidation in Hepatocellular Carcinoma.

BACKGROUND AND AIMS: Dysregulated lipid metabolism contributes to hepatocellular carcinoma (HCC) progression, but the prognostic value and mechanistic roles of lipid metabolism-related long noncoding RNAs (LRLs) remain insufficiently characterized. This study aimed to construct and validate an LRL-based prognostic model and to investigate the biological function and metabolic mechanism of AC026412.3 in HCC. METHODS: Transcriptomic and clinical data from the The Cancer Genome Atlas Liver Hepatocellular Carcinoma cohort were analyzed to identify LRLs based on their correlation with curated lipid metabolism genes. Differential expression, univariate Cox, least absolute shrinkage and selection operator (LASSO), and multivariate Cox analyses were performed to construct a prognostic signature, which was evaluated using Kaplan-Meier survival and time-dependent receiver operating characteristic (ROC) analyses. Functional enrichment analyses Gene Ontology [GO], Kyoto Encyclopedia of Genes and Genomes [KEGG] and gene set enrichment analysis [GSEA], mutation profiling, tumor mutational burden, immune infiltration estimation, and consensus clustering were applied to characterize associated features. A key LRL was identified through integrated bioinformatic screening and prioritization. Its biological role was assessed by quantitative reverse transcription polymerase chain reactionq (RT-PCR), western blotting, BODIPY staining, colony formation, Transwell assays, and xenograft models. RNA sequencing followed by pathway enrichment analysis was conducted to explore underlying mechanisms. RESULTS: A three-LRL signature (AL031985.3, NRAV, and AC026412.3) stratified HCC patients into distinct risk groups with significantly different survival outcomes and demonstrated independent prognostic value. AC026412.3 was markedly upregulated in HCC and associated with poor prognosis. Functional assays demonstrated that AC026412.3 promoted proliferation, invasion, and tumor growth while reducing lipid accumulation. Mechanistically, AC026412.3 upregulated solute carrier family 22 member 5 (SLC22A5), enhanced fatty acid β-oxidation, and increased adenosine triphosphate (ATP) production, thereby driving metabolic reprogramming. CONCLUSIONS: This study establishes a robust LRL-based prognostic model and identifies AC026412.3 as a key regulator of lipid metabolic reprogramming via the SLC22A5-fatty acid β-oxidation axis, highlighting its potential as a biomarker and therapeutic target in HCC.

HCC↗

PubMed2004

Intregrated analysis of the human cardiac transcriptome, proteome and phosphoproteome.

Altered expression of different classes of genes has been shown to differentiate between failing and nonfailing human hearts. However, characterization of proteins and the post-translational modifications that regulate their functions is required for understanding both the physiology of cardiac muscle and the mechanisms leading to pathological states associated with cardiac diseases. We present in this paper, an analysis of the human cardiac transcriptome, proteome and phosphoproteome. Data from two sources (i) experiments performed in our laboratory and (ii) bioinformatics searches of public databases (SWISS-PROT, NCBI, Cardiac Gene Expression Knowledge Base, Gene Ontology Consortium and Affymetrix) are reported in a relational database that allows user-designed specific queries. Microarray experiments were performed with Affymetrix Hu95Av2. Cardiac proteins were digested with trypsin. An 11 step cation exchange procedure produced fractions for analysis in separate reversed phase high-performance liquid chromatography-tandem mass spectrometry (MS/MS) experiments. Immobilized metal affinity chromatography was used to select the phosphopeptides from the same tryptic peptide mixture. They were then further investigated by MS/MS. Gel-free approaches were used to detect 267 proteins and 47 phosphopeptides. Our human cardiac database contains 447 entries. We propose the use of this platform, built with data derived from nonfailing hearts, as a template for initiating the effort to characterize the human cardiac proteome and its associated post-translational modifications.

Chromatography, Affinity↗

PubMed2003

Gene expression patterns define pathways correlated with loss of differentiation in lung adenocarcinomas.

An analysis of microarray data from 86 lung adenocarcinomas reveals hundreds of genes significantly correlated with tumor cell differentiation. A bioinformatics approach of linking these genes to public information from the Locuslink and KEGG databases yields evidence for a loss of tumor cell differentiation being associated with biological processes of cell division, protein degradation, pyrimidine and purine metabolism, oxidative phosphorylation, glyoxylate and dicarboxylate metabolism, folate biosynthesis, and glutamate metabolism. The increased expression of genes involved in these processes is consistent with increased proliferation and metabolism characteristics of poorly differentiated tumors. The complete results of this analysis are available at http://dot.ped.med.umich.edu:2000/pub/diff/index.htm.

Adenocarcinoma↗

PubMed2002

Molecular and biochemical characterisation of a novel sulphatase gene: Arylsulfatase G (ARSG).

Molecular analysis has provided important insights into the biochemistry and genetics of the sulphatase family of enzymes. Through bioinformatic searches of the EST database, we have identified a novel gene consisting of 11 exons and encoding a 525 aa protein that shares a high degree of sequence similarity with all sulphatases and in particular with arylsulphatases, hence the tentative name Arylsulfatase G (ARSG). The highest homology is shared with Arylsulfatase A, a lysosomal sulphatase which is mutated in metachromatic leukodistrophy, particularly in the amino-terminal region. The 10 amino acids that form the catalytic site are strongly conserved. The murine homologue of Arylsulfatase G gene product shows 87% identity with the human protein. To test the function of this novel gene we transfected the full-length cDNA in Cos7 cells, and detected an Arylsulfatase G precursor protein of 62 kDa. After glycosylation the precursor is maturated in a 70 kDa form, which localises to the endoplasmic reticulum. Northern blot analysis of Arylsulfatase G revealed a ubiquitous expression pattern. We tested the sulphatase activity towards two different artificial substrates 4-methylumbelliferyl (4-MU) sulphate and p-nitrocatechol sulphate, but no arylsulphatase activity was detectable. Further studies are needed to characterise the function of Arylsulfatase G, possibly revealing a novel metabolic pathway.

Amino Acid Sequence↗

PubMed2005

TOUCAN 2: the all-inclusive open source workbench for regulatory sequence analysis.

We present the second and improved release of the TOUCAN workbench for cis-regulatory sequence analysis. TOUCAN implements and integrates fast state-of-the-art methods and strategies in gene regulation bioinformatics, including algorithms for comparative genomics and for the detection of cis-regulatory modules. This second release of TOUCAN has become open source and thereby carries the potential to evolve rapidly. The main goal of TOUCAN is to allow a user to come to testable hypotheses regarding the regulation of a gene or of a set of co-regulated genes. TOUCAN can be launched from this location: http://www.esat.kuleuven.ac.be/~saerts/software/toucan.php.

Algorithms↗

PubMed2003

ExPASy: The proteomics server for in-depth protein knowledge and analysis.

The ExPASy (the Expert Protein Analysis System) World Wide Web server (http://www.expasy.org), is provided as a service to the life science community by a multidisciplinary team at the Swiss Institute of Bioinformatics (SIB). It provides access to a variety of databases and analytical tools dedicated to proteins and proteomics. ExPASy databases include SWISS-PROT and TrEMBL, SWISS-2DPAGE, PROSITE, ENZYME and the SWISS-MODEL repository. Analysis tools are available for specific tasks relevant to proteomics, similarity searches, pattern and profile searches, post-translational modification prediction, topology prediction, primary, secondary and tertiary structure analysis and sequence alignment. These databases and tools are tightly interlinked: a special emphasis is placed on integration of database entries with related resources developed at the SIB and elsewhere, and the proteomics tools have been designed to read the annotations in SWISS-PROT in order to enhance their predictions. ExPASy started to operate in 1993, as the first WWW server in the field of life sciences. In addition to the main site in Switzerland, seven mirror sites in different continents currently serve the user community.

Databases, Protein↗

PubMed2002

Simulation of DNA array hybridization experiments and evaluation of critical parameters during subsequent image and data analysis.

BACKGROUND: Gene expression analyses based on complex hybridization measurements have increased rapidly in recent years and have given rise to a huge amount of bioinformatic tools such as image analyses and cluster analyses. However, the amount of work done to integrate and evaluate these tools and the corresponding experimental procedures is not high. Although complex hybridization experiments are based on a data production pipeline that incorporates a significant amount of error parameters, the evaluation of these parameters has not been studied yet in sufficient detail. RESULTS: In this paper we present simulation studies on several error parameters arising in complex hybridization experiments. A general tool was developed that allows the design of exactly defined hybridization data incorporating, for example, variations of spot shapes, spot positions and local and global background noise. The simulation environment was used to judge the influence of these parameters on subsequent data analysis, for example image analysis and the detection of differentially expressed genes. As a guide for simulating expression data real experimental data were used and model parameters were adapted to these data. Our results show how measurement error can be balanced by the analysis tools. CONCLUSIONS: We describe an implemented model for the simulation of DNA-array experiments. This tool was used to judge the influence of critical parameters on the subsequent image analysis and differential expression analysis. Furthermore the tool can be used to guide future experiments and to improve performance by better experimental design. Series of simulated images varying specific parameters can be downloaded from our web-site: http://www.molgen.mpg.de/~lh_bioinf/projects/simulation/biotech/

Algorithms↗

PubMed2007

Unique SARS-CoV protein nsp1: bioinformatics, biochemistry and potential effects on virulence.

Viruses have evolved a myriad of strategies for promoting viral replication, survival and spread. Sequence analysis of the Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) genome predicts several proteins that are unique to SARS-CoV. The search to understand the high virulence of SARS-CoV compared with related coronaviruses, which cause lesser respiratory illnesses, has recently focused on the unique nsp1 protein of SARS-CoV and suggests evolution of a possible new virulence mechanism in coronaviruses. The SARS-CoV nsp1 protein increases cellular RNA degradation and thus might facilitate SARS-CoV replication or block immune responses.

Animals↗

PubMed2005

Combinatorial natural products: from cloning to analysis.

Medicinal compounds from plants represent one of the largest and most diverse groups of plant secondary metabolites. The advent of advanced bioinformatics tools and modern genetic technology allowed for manipulation of biosynthetic pathways with the potential of generating novel chemical entities. First, public databases of secondary metabolite related enzymes were interrogated to identify relevant plant genes from vinca rosea (Catharanthus roseus) and other species. Genes of interest were tested after cloning by transfection into tobacco cell cultures using DNA viral vectors. The biosynthetic enzymes coded by these genes were over-expressed in the host. Automated solvent extraction procedure was employed to extract secondary metabolites from plant leaf tissues and transfected tobacco cell culture samples. The composition of the extracts was analyzed by state of the art bioanalytical methods such as high performance liquid chromatography and capillary electrophoresis to monitor changes in secondary metabolite patterns.

Chromatography, High Pressure Liquid↗

PubMed2006

Bioinformatic approach for understanding the heterogeneity of cholangiocytes.

It is remarkable that microarray technologies have nearly reached a pinnacle. Establishment of further analysis and management of enormous data derived from microarray technology is currently the highest priority. The heterogeneous functions of cholangiocytes regulate the pathophysiology of the biliary epithelium in relation to secretory, proliferative and apoptotic activities. Distinct expression profiles of two murine cholangiocyte lines, termed small and large have been revealed by microarray analysis. The features of the two cholangiocyte cell lines, categorized partly according to gene ontology, indicate the specific physiological role of each cell line. The large cholangiocytes are characterized as "transport" and "immune/ inflammatory responses". In contrast, small cholangiocytes are associated with properties of limited physiological functional ability and proliferating/migrating potential with specific molecules like Eph receptors, comparable to mesenchymal cells. 'Omic study will be of great help in understanding the heterogeniety of cholangiocytes.

Animals↗

PubMedDate not supplied

UV-induced melanoma cell lines and their potential for proteome analysis: a review.

We have established cell lines from benign cutaneous melanocytic lesions and from melanoma-affected lymph nodes of monodelphis domestica, the laboratory opossum (a South American marsupial now widely maintained in captive colonies for experimental purposes). Unlike melanoma cell lines currently available from humans and other mammals, the opossum lines are derived from cells transformed in vivo by experimentally controlled exposure to ultraviolet B (UVB) radiation of known spectral composition. Differences in the patterns of protein expression among cell lines at different stages of the UVB-induced melanoma cascade can be identified by proteome analysis and will provide a useful basis for comparisons with human and mouse melanoma cell lines. Powerful new two-dimensional (2D) gel electrophoresis technologies and sophisticated bioinformatics programs make it possible to carry out qualitative and quantitative analyses of the entire protein complement expressed by the genome (proteome) of a specific cell type. One area of biology particularly well suited to proteome analysis is carcinogenesis. It is now feasible, for example, to attempt to characterize the full repertoire of proteins, including all the antigenic determinants at the cell surface and in the cytosol, during the carcinogenic cascade from normal progenitor cells, to benign tumor cells, and finally, to highly invasive metastatic cells. Proteome analyses have been initiated with the cell lines from M. domestica.

Animals↗

PubMed2005

[Screening and cloning target genes transactivated by hepatitis C virus F protein using suppression subtractive hybridization technique].

OBJECTIVES: To identify and clone human genes transactivated by HCV F protein by constructing a cDNA subtractive library using the suppression subtractive hybridization technique. METHODS: Suppression subtractive hybridization (SSH) and bioinformatics techniques were used for screening and cloning of the target genes transactivated by HCV F protein. The mRNA was isolated from HepG2 cells transfected with pcDNA3.1 (-)-F or with pcDNA3.1(-) empty vector as a control, and SSH method was employed to analyze the differentially expressed DNA sequence between the two groups. After restriction enzyme Rsa I digestion, small sized cDNAs were obtained. Then tester cDNA was divided into two groups and ligated to the specific adaptor 1 or adaptor 2. After tester cDNA was hybridized with driver cDNA twice and underwent two times of nested PCR, it was then subcloned into T/A plasmid vectors to set up the subtractive library. Amplification of the library was carried out with E. coli strain DH5 alpha. The cDNA was sequenced and analyzed in GenBank with blast search after PCR. RESULTS: The subtractive library of genes transactivated by HCV F protein was constructed successfully. The amplified library contains 71 positive clones. Colony PCR shows that 56 clones contain 200-1000 bp inserts. Sequence analysis was performed on 28 clones randomly, and the full length sequences were obtained with using the bioinformatics method. Altogether 19 coding sequences were obtained, consisting of 17 known and 2 unknown. CONCLUSIONS: The obtained sequences may be target genes transactivated by HCV F protein, and some gene coding proteins are those involved in cell cycle regulation, metabolism, and cell apoptosis.

Cloning, Molecular↗

PubMed2026

Practicing Data Science in Interactive Notebooks.

The Jupyter Notebook is a platform for interactive computing that displays code and results in the same browser, making it valuable for teaching, prototyping, data analysis, and collaboration. Its explicit and transparent structure greatly reproducibility while its backend server supports flexible deployment. In the past few years, Jupyter notebooks and similar tools have become increasingly popular. In this chapter, we will review key aspects of data analysis in a cloud environment and demonstrate common tasks for analyzing metabolomics data using template notebooks. This is an accompaniment to the basic bioinformatics tools and essential data science toolkit introduced in the first edition.

Software↗