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At least 793 records · Page 44Linked to original sources
PubMed2006

SIDDBASE: a database containing the stress-induced DNA duplex destabilization (SIDD) profiles of complete microbial genomes.

Prokaryotic genomic DNA is generally negatively supercoiled in vivo. Many regulatory processes, including the initiation of transcription, are known to depend on the superhelical state of the DNA substrate. The stresses induced within DNA by negative superhelicity can destabilize the DNA duplex at specific sites. Various experiments have either shown or suggested that stress-induced DNA duplex destabilization (SIDD) is involved in specific regulatory mechanisms governing a variety of biological processes. We have developed methods to evaluate the SIDD properties of DNA sequences, including complete chromosomes. This analysis predicts the locations where the duplex becomes destabilized under superhelical stress. Previous studies have shown that the SIDD-susceptible sites predicted in this way occur at rates much higher than expected at random in transcriptional regulatory regions, and much lower than expected in coding regions. Analysis of the SIDD profiles of 42 bacterial genomes chosen for their diversity confirms this pattern. Predictions of SIDD sites have been used to identify potential genomic regulatory regions, and suggest both possible regulatory mechanisms involving stress-induced destabilization and experimental tests of these mechanisms. Here we describe the SIDDBASE database which enables users to retrieve and visualize the results of SIDD analyses of completely sequenced prokaryotic and archaeal genomes, together with their annotations. SIDDBASE is available at www.gc.ucdavis.edu/benham/siddbase.

DNA, Archaeal↗
PubMed2006

Human microRNA clusters: genomic organization and expression profile in leukemia cell lines.

MicroRNAs (miRNAs) play an important role in diverse physiological and developmental processes by negatively regulating expression of target genes at the post-transcriptional level. Here, we globally analyzed the genomic organization of all registered 326 human miRNA genes in miRNA registry 7.1 and found that 148 human miRNA genes appeared in a total of 51 clusters. Alignment of the miRNA sequences in different clusters revealed a significant number of miRNA paralogs among the clusters, implying an evolution process targeting the potentially conserved roles of these molecules. Then we performed Northern blot analysis for expression profiling of all clustered miRNAs in several human leukemia cell lines. Consistent expression of the miRNAs in a single cluster was revealed in 39 clusters, while inconsistent expression of members in a single cluster was detected in the other 12 clusters. Meanwhile, we identified several hematopoietic lineage-specific or -enriched miRNA clusters (e.g., the mir-29c, mir-302, mir-98, mir-29a, and let-7a-1 clusters) and individual miRNAs (e.g., mir-181c, mir-181d, mir-191, and mir-136). These findings may suggest vital roles of these miRNA clusters or miRNAs in human hematopoiesis and oncogenesis, and provide clues for understanding the function and mechanism of miRNAs in various biological processes.

Base Sequence↗
PubMed2005

SPLINDID: a semi-parametric, model-based method for obtaining transcription rates and gene regulation parameters from genomic and proteomic expression profiles.

PURPOSE: To evaluate a semi-parametric, model-based approach for obtaining transcription rates from mRNA and protein expression. METHODS: The transcription profile input was modeled using an exponential function of a cubic spline and the dynamics of translation; mRNA and protein degradation were modeled using the Hargrove-Schmidt model. The transcription rate profile and the translation, and mRNA and protein degradation rate constants were estimated by the maximum likelihood method. RESULTS: Simulated datasets generated from the stochastic, transit compartment and dispersion signaling models were used to test the approach. The approach satisfactorily fit the mRNA and protein data, and accurately recapitulated the parameter and the normalized transcription rate profile values. The approach was successfully used to model published data on tyrosine aminotransferase pharmacodynamics. CONCLUSIONS: The semi-parametric approach is effective and could be useful for delineating the genomic effects of drugs. AVAILABILITY: Code suitable for use with the ADAPT software program is available from the corresponding author. CONTACT: murali@acsu.buffalo.edu.

Algorithms↗
PubMed2003

Expressive genomic hybridisation: gene expression profiling at the cytogenetic level.

AIMS: To describe a cytogenetic technique suitable for the rapid assessment of global gene expression that is based on comparative genomic hybridisation (CGH), and to use it to understand the relation between genetic amplifications and gene expression. METHODS: Whereas traditional CGH uses DNA as test and reference in hybridisations, expressive genomic hybridisation (EGH) uses globally amplified mRNA as test and normal DNA as reference. EGH is a rapid and powerful tool for localising and studying global gene expression profiles and correlating them with loci of genetic amplifications using traditional CGH. RESULTS: EGH was used to correlate genetic amplifications detected by CGH with the expression profile of two independent cell lines-Colo320 and T47D. Although many amplifications resulted in overexpression, other amplifications were partially or completely silenced at the cytogenetic level. CONCLUSION: This technique will assist in the analysis of overexpressed genes within amplicons and could resolve a controversial issue in cancer cytogenetics; namely, the relation between genetic amplifications and overexpression.

Cell Line↗
PubMed2000

Enhanced genome annotation using structural profiles in the program 3D-PSSM.

A method (three-dimensional position-specific scoring matrix, 3D-PSSM) to recognise remote protein sequence homologues is described. The method combines the power of multiple sequence profiles with knowledge of protein structure to provide enhanced recognition and thus functional assignment of newly sequenced genomes. The method uses structural alignments of homologous proteins of similar three-dimensional structure in the structural classification of proteins (SCOP) database to obtain a structural equivalence of residues. These equivalences are used to extend multiply aligned sequences obtained by standard sequence searches. The resulting large superfamily-based multiple alignment is converted into a PSSM. Combined with secondary structure matching and solvation potentials, 3D-PSSM can recognise structural and functional relationships beyond state-of-the-art sequence methods. In a cross-validated benchmark on 136 homologous relationships unambiguously undetectable by position-specific iterated basic local alignment search tool (PSI-Blast), 3D-PSSM can confidently assign 18 %. The method was applied to the remaining unassigned regions of the Mycoplasma genitalium genome and an additional 13 regions were assigned with 95 % confidence. 3D-PSSM is available to the community as a web server: http://www.bmm.icnet.uk/servers/3dpssm

Algorithms↗
PubMed2026

Genome-wide DNA methylation profiling during metabolic dysfunction-associated steatohepatitis-related hepatocarcinogenesis in patients in Japan and the United States.

This study aimed to compare ethnicity-related differences in DNA methylation profiles during metabolic dysfunction-associated steatohepatitis (MASH)-related hepatocarcinogenesis in patients from Japan and the United States (US). Genome-wide DNA methylation analysis using the Infinium assay was performed in 36, 148 and 36 samples of normal liver tissue (NLT), non-cancerous liver tissue showing MASH, and MASH-related hepatocellular carcinoma (HCC), respectively (220 samples in total), from the Japan and US cohorts. Principal component analysis revealed that MASH had a distinct DNA methylation profile differing from that of NLT, and that the MASH profiles in the two cohorts differed from each other. DNA methylation alterations of cancer-related genes in MASH were inherited by or strengthened in MASH-related HCC itself, resulting in expression alterations. DNA methylation alterations of FGFR2, FUT4, B3GNT5 and MOSC1 in the precancerous MASH stage were shared by the two cohorts, suggesting that such genes are commonly associated with MASH-related hepatocarcinogenesis. On the other hand, it was suggested that DNA methylation alterations of ZNF611 and SAMD10, and those of SHC1, are involved specifically in MASH-related hepatocarcinogenesis in the Japan and the US cohorts, respectively. These findings suggest that DNA methylation alterations, which may reflect race and lifestyle, are associated with MASH-related hepatocarcinogenesis.

Humans↗
PubMed2006

Comparative and functional genomics of Listeria spp.

The genus Listeria comprises a group of non-sporulating, Gram-positive, soil bacteria belonging to the low G+C group of microorganisms. The genus consists of only six species, L. monocytogenes, L. ivanovii, L. seeligeri, L. innocua, L. welshimeri, and L. grayi.L. monocytogenes and L. ivanovii are the only known pathogens of this group. Comparative whole-genome sequencing of representative strains comprising the entire genus is currently being performed and nearing completion. In the genus Listeria, genome reduction has led to the generation of non-pathogenic species from pathogenic progenitor strains. Indeed, many of the regions absent in the non-pathogenic species represent commonly deleted genes. Speciation and diversity of strains has been achieved by horizontal gene transfer of DNA encoding novel genes probably required for niche specific survival. The sequencing of several listerial genomes has also been accompanied by studies using global strategies involving whole-genome transcriptional profiling and proteomics to examine the adaptative changes of L. monocytogenes to growth in different environments and to catalogue the genes mediating these responses. We review this data and present information on the expression profile of L. monocytogenes EGD-e inside the vacuolar and the cytosolic environments of the host cell using whole-genome microarray analysis. Of the 484 genes regulated during intracellular growth 41 genes are species-specific, being absent from the genome of the non-pathogenic L. innocua CLIP 11262 strain. There were 25 genes that are strain-specific i.e. absent from the genome of the L. monocytogenes F2365 serotype 4b strain suggesting heterogeneity in the gene pool required for intracellular survival of L. monocytogenes in host cells.

Chromosomes, Bacterial↗
PubMed2002

Genome-wide gene expression profiling in Arabidopsis thaliana reveals new targets of abscisic acid and largely impaired gene regulation in the abi1-1 mutant.

The phytohormone abscisic acid (ABA) plays important regulatory roles in many plant developmental processes including seed dormancy, germination, growth, and stomatal movements. These physiological responses to ABA are in large part brought about by changes in gene expression. To study genome-wide ABA-responsive gene expression we applied massively parallel signature sequencing (MPSS) to samples from Arabidopsis thaliana wildtype (WT) and abi1-1 mutant seedlings. We identified 1354 genes that are either up- or downregulated following ABA treatment of WT seedlings. Among these ABA-responsive genes, many encode signal transduction components. In addition, we identified novel ABA-responsive gene families including those encoding ribosomal proteins and proteins involved in regulated proteolysis. In the ABA-insensitive mutant abi1-1, ABA regulation of about 84.5% and 6.9% of the identified genes was impaired or strongly diminished, respectively; however, 8.6% of the genes remained appropriately regulated. Compared to other methods of gene expression analysis, the high sensitivity and specificity of MPSS allowed us to identify a large number of ABA-responsive genes in WT Arabidopsis thaliana. The database given in our supplementary material (http://jcs.biologists.org/supplemental) provides researchers with the opportunity to rapidly assess whether genes of interest may be regulated by ABA. Regulation of the majority of the genes by ABA was impaired in the ABA-insensitive mutant abi1-1. However, a subset of genes continued to be appropriately regulated by ABA, which suggests the presence of at least two ABA signaling pathways, only one of which is blocked in abi1-1.

Abscisic Acid↗
PubMed1972

Protein electrophoretic profiles and the origin of the B genome of wheat.

Protein electrophoretic profiles cast doubt upon the prevalent theory that the B genome of the polyploid wheats was derived from a species of Aegilops. They suggest, instead, that the wild tetraploid wheats comprise a complex, whose components were derived from various combinations of diploid Triticum types, which evidently include the B-genome type.

Diploidy↗
PubMed2005

Use of the genomic matching technique to complement multiplex STR profiling reduces DNA profiling costs in high volume crimes and intelligence led screens.

The genomic matching technique (GMT) targets duplicated polymorphic sequences within genomic blocks in the human major histocompatibility complex (MHC), differentiating between individuals at the DNA level using a single primer pair per block. The GMT is currently used to supplement human leukocyte antigen (HLA) typing to match donor and recipient pairs for bone marrow transplantation and has the potential to be employed as a powerful exclusion tool in forensic biology. The GMT is highly reproducible, produces DNA profiles from less than 1 ng of DNA and was successfully employed to profile a range of forensic samples including buccal swabs, handled objects and fingerprints. Furthermore, GMT profiles from a single genomic block in the MHC are likely to be more discriminatory than known highly polymorphic short tandem repeat (STR) loci such as ACTBP2. As such, the GMT can reduce the cost of investigations that require profiling of multiple suspects or samples from one or more crime scenes and could be extended to profile genomic blocks in other polymorphic genetic systems in the human genome.

DNA Fingerprinting↗
PubMed2006

From genome to proteome in tumor profiling: molecular events in colorectal cancer genesis.

Biomedical research has advanced rapidly in recent years with the sequencing of the human genome and the availability of technologies such as global gene and protein expression profiling using different chip platforms. However, this progress has not yet been transferred to the bedside. While detection of cancer at early stages is critical for curative treatment interventions, efficient diagnostic and therapeutic markers for the majority of malignancies still seem to be lacking. Comprehensive tumor profiling has therefore become a field of intensive research aiming at identifying biomarkers relevant for improved diagnostics and therapeutics. This chapter will demonstrate a genomic and proteomic approach while focusing on tumor profiling during colorectal cancer development.

Animals↗
PubMed2005

BarleyBase--an expression profiling database for plant genomics.

BarleyBase (BB) (www.barleybase.org) is an online database for plant microarrays with integrated tools for data visualization and statistical analysis. BB houses raw and normalized expression data from the two publicly available Affymetrix genome arrays, Barley1 and Arabidopsis ATH1 with plans to include the new Affymetrix 61K wheat, maize, soybean and rice arrays, as they become available. BB contains a broad set of query and display options at all data levels, ranging from experiments to individual hybridizations to probe sets down to individual probes. Users can perform cross-experiment queries on probe sets based on observed expression profiles and/or based on known biological information. Probe set queries are integrated with visualization and analysis tools such as the R statistical toolbox, data filters and a large variety of plot types. Controlled vocabularies for gene and plant ontologies, as well as interconnecting links to physical or genetic map and other genomic data in PlantGDB, Gramene and GrainGenes, allow users to perform EST alignments and gene function prediction using Barley1 exemplar sequences, thus, enhancing cross-species comparison.

Arabidopsis↗
PubMedDate not supplied

Epidemiologic Study of Pseudomonas aeruginosa in critical patients and reservoirs.

BACKGROUND: Pseudomonas aeruginosa is a common cause of nosocomial infections, particularly in intensive care units (ICUs). The aim of this study was to characterize P. aeruginosa clinical isolates by comparing antimicrobial susceptibility patterns with the presence of plasmids and to establish the clonal relatedness by pulsed-field gel electrophoresis (PFGE) typing. METHODS: The patients included those with isolation of P. aeruginosa hospitalized for more than 48 h in the ICU from April to May 1998. Environmental and staff cultures were obtained simultaneously. Minimal inhibitory concentrations, plasmid DNA profiles, and PFGE genomic patterns of enzyme restriction chromosomal DNA were compared. RESULTS: Sixty P. aeruginosa isolates were obtained from 197 clinical specimens, 178 environmental samples, and 47 hand cultures of personnel. Antimicrobial resistance was as follows: tobramycin 100%; ticarcillin, cefotaxime, ceftriaxone, ceftazidime, and gentamicin 80%; cefepime 60%; amikacin, ticarcillin/clavulanate, imipenem, and meropenem 40%; piperacillin and norfloxacin 20%; carbenicillin 12%, and ciprofloxacin 0%. Plasmids were detected in 11 isolates (18%). PFGE typing showed that 23 isolates belonged to a common clone (pattern A), identified from five patients, two nurses, and 10 environmental samples. Ten isolates were grouped in four clusters and 27 isolates had unrelated genomic patterns. There was no relationship among DNA genomic patterns, plasmid profiles, and susceptibility patterns. CONCLUSIONS: PFGE demonstrated the existence of a common clone in a critical care area. Reinforcement of infection control measures is needed to avoid horizontal transmission and severe infections.

Critical Illness↗
PubMed2004

GENOSENSE Diagnostics GmbH.

GENOSENSE Diagnostics GmbH, a company specialized in preventive genetic diagnostics, has committed itself to applying molecular medical knowledge to realizing the vision of individual, preventive and patient-tailored medicine. GENOSENSE offers a unique line of preventive genomic diagnostic profiles. Each profile focuses on a carefully selected set of polymorphisms associated with particular diseases or physiologic imbalances. GENOSENSE does not only provide the genetic test results, but highly capable medical experts 'translate' the results into a clinical language and assist the customer with established support regarding their medical interpretation. In addition, the company provides academic institutions and pharmaceutical companies with turnkey solutions for research-based projects.

Drug Industry↗
PubMed2006

[Analyzing the function of different expression genes in the brain of rat exposure to methylmercury using genomics technology].

OBJECTIVE: Analyzing the function of different expression genes in the brain of rat exposure to methylmercury. METHODS: The experimental group of rats were treated with 0.5 mg/kg weight of methylmercury via hypodermic injection. The different expression genes were scanned by using cDNA microarray, and the function genes were analyzed using genomics technology. RESULTS: The gene expression profiles showed that there were 303 genes, in which 170 were upregulated and 133 were downregulated, were differential expressed in the experimental group. Further analysis by bioinformatic technique disclosed that the differentially expressed genes were involved in many biological processes, which included immuno-response and detoxifcation, transfer and expression of genetic information, cell signalling, neurotransduction, cell proliferation and cell differentiation, apoptosis, etc. Cell signaling gene and neurotransduction gene had an very obvious change in the exposure group. CONCLUSION: The signaling pathway was the target by which methylmercury exerted the neurotoxic effects.

Animals↗
PubMed2027

Systematic Analysis of Tumor Microenvironment Using IOBR.

The Immuno-Oncology Biological Research (IOBR) package is an R-based analysis tool for exploring the tumor microenvironment (TME) and its influence on anti-tumor immunity. Built for high-throughput data-spanning both transcriptomic and genomic profiles-IOBR integrates six analytical modules, including transcriptomic data preprocessing, TME profiling, TME pattern identification, ligand-receptor interaction analysis, genome-TME interaction assessment, and visualization. In this chapter, we walk through a multi-omics workflow using example datasets, illustrating data preparation, distribution analyses, result interpretation, and graphical output. IOBR is open source and is available at https://github.com/IOBR/IOBR and a detailed GitBook ( https://iobr.github.io/book/ ) offers a complete manual and analysis guide for each function.

Tumor Microenvironment↗
PubMed2005

Design and validation of a partial-genome microarray for transcriptional profiling of the Bradyrhizobium japonicum symbiotic gene region.

The design and use of a pilot microarray for transcriptome analysis of the symbiotic, nitrogen-fixing Bradyrhizobium japonicum is reported here. The custom-synthesized chip (Affymetrix GeneChip) features 738 genes, more than half of which belong to a 400-kb chromosomal segment strongly associated with symbiosis-related functions. RNA was isolated following an optimized protocol from wild-type cells grown aerobically and microaerobically, and from cells of aerobically grown regR mutant and microaerobically grown nifA mutant. Comparative microarray analyses thus revealed genes that are transcribed in either a RegR- or a NifA-dependent manner plus genes whose expression depends on the cellular oxygen status. Several genes were newly identified as members of the RegR and NifA regulons, beyond genes, which had been known from previous work. A comprehensive transcription analysis was performed with one of the new RegR-controlled genes (id880). Expression levels determined by microarray analysis of selected NifA- and RegR-controlled genes corresponded well with quantitative real-time PCR data, demonstrating the high complementarity of microarray analysis to classical methods of gene expression analysis in B. japonicum. Nevertheless, several previously established members of the NifA regulon were not detected as transcribed genes by microarray analysis, confirming the potential pitfalls of this approach also observed by other authors. By and large, this pilot study has paved the way towards the genome-wide transcriptome analysis of the 9.1-Mb B. japonicum genome.

Bacterial Proteins↗