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Results for “Genomic profiling”

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At least 973 records · Page 54Linked to original sources
PubMed2003

Overview of bioinformatics and its application to oral genomics.

The "informatics revolution" in both bioinformatics and dental informatics will eventually change the way we practice dentistry. This convergence will play a pivotal role in creating a bridge of opportunity by integrating scientific and clinical specialties to promote the advances in treatment, risk assessment, diagnosis, therapeutics, and oral health-care outcome. Bioinformatics has been an emerging field in the biomedical research community and has been gaining momentum in dental medicine. This area has created a steady stream of large and complex genomic data, which has transformed the way a clinical or basic science researcher approaches genomic research. This application to dental medicine, termed "oral genomics", can aid in the molecular understanding of the genes and proteins, their interactions, pathways, and networks that are responsible for the development and progression of oral diseases and disorders. As the result of the Human Genome Project, new advances have prompted high-throughput technologies, such as DNA microarrays, which have become accepted tools in the biomedical research community. This manuscript reviews the two most commonly used microarray technologies, basic microarray data analysis, and the results from several ongoing oral cancer genomic studies.

Carcinoma, Squamous Cell↗
PubMedDate not supplied

Chromosomal localization of DNA amplifications in neuroblastoma tumors using cDNA microarray comparative genomic hybridization.

Conventional comparative genomic hybridization (CGH) profiling of neuroblastomas has identified many genomic aberrations, although the limited resolution has precluded a precise localization of sequences of interest within amplicons. To map high copy number genomic gains in clinically matched stage IV neuroblastomas, CGH analysis using a 19,200-feature cDNA microarray was used. A dedicated (freely available) algorithm was developed for rapid in silico determination of chromosomal localizations of microarray cDNA targets, and for generation of an ideogram-type profile of copy number changes. Using these methodologies, novel gene amplifications undetectable by chromosome CGH were identified, and larger MYCN amplicon sizes (in one tumor up to 6 Mb) than those previously reported in neuroblastoma were identified. The genes HPCAL1, LPIN1/KIAA0188, NAG, and NSE1/LOC151354 were found to be coamplified with MYCN. To determine whether stage IV primary tumors could be further subclassified based on their genomic copy number profiles, hierarchical clustering was performed. Cluster analysis of microarray CGH data identified three groups: 1) no amplifications evident, 2) a small MYCN amplicon as the only detectable imbalance, and 3) a large MYCN amplicon with additional gene amplifications. Application of CGH to cDNA microarray targets will help to determine both the variation of amplicon size and help better define amplification-dependent and independent pathways of progression in neuroblastoma.

Algorithms↗
PubMed2000

Metal-ion tolerance in Escherichia coli: analysis of transcriptional profiles by gene-array technology.

Escherichia coli was adapted to grow in medium containing substantially elevated concentrations of either Zn(II), Cd(II), Co(II) or Ni(II). Whole-genome transcriptional profiles were generated from adapted strains and analysed for significant alteration in transcript abundance with reference to a wild-type strain. Similar alterations in specific message levels were observed for strains adapted to the four metal ions. One unexpected trend was the increase in transcript level of genes involved in transposition of IS elements, particularly insA. Subsequent expression of insA-7 from a heterologous promoter in E. coli conferred tolerance to Zn(II).

Bacterial Proteins↗
PubMed2026

Molecular and immune profiling of HER2-low, HER2 ultra-low, and HER2-null male breast cancer.

BACKGROUND: HER2 expression is described along a biological continuum from null to positive and serves as a critical biomarker for therapeutic guidance in breast cancer (BC). While HER2-low and ultra-low categories have emerged as actionable targets for antibody-drug conjugates (ADCs) in female BC, their molecular and immune characteristics remain largely unexplored in male breast cancer. METHODS: We profiled 214 male breast tumors using next-generation sequencing and whole-transcriptome sequencing to assess mutational, transcriptomic, and immune landscapes. Tumor mutational burden (TMB) was defined as high if > 10 mutations/Mb. Immune cell fractions were inferred using Quantiseq deconvolution. RESULTS: Among 214 samples, 66 (30.8%) were HER2-null, 53 (24.8%) HER2 ultra-low, 80 (37.4%) HER2-low, and 15 (7.0%) HER2-positive. HER2 ultra-low tumors exhibited a higher prevalence of PIK3CA mutations (39.2% vs 22.6%, p ≤ 0.05) compared to HER2-null. No significant differences were observed in TMB-high frequency or PD-L1 expression across subgroups. Immune composition differed primarily between HER2-null and HER2-expressing subgroups: HER2-ultra-low tumors showed higher B-cell infiltration, whereas HER2-null tumors were enriched in neutrophils. Transcriptomic analysis revealed upregulation of selected stemness-associated genes (NANOG, KLF4, POU5F1) and CEACAM1 in HER2-null tumors, while HER2-low and HER2-ultra-low tumors were largely similar across most molecular and immune readouts in this cohort. CONCLUSIONS: HER2-null male breast cancer appears to represent the most biologically divergent subgroup within the HER2-negative spectrum, whereas HER2-low and HER2-ultra-low tumors were largely similar in this cohort. These findings support further investigation of HER2-null disease as a distinct biological state and provide hypothesis-generating data for biomarker development in this rare population.

Male↗
PubMed2006

Significant gene order and expression differences in Bordetella pertussis despite limited gene content variation.

Bordetella pertussis, an obligate human pathogen and the agent of whooping cough, is a clonal species, despite the dynamic selection pressures imposed by host immunity and vaccine usage. Because the generation of variation is critical for species evolution, we employed a variety of approaches to examine features of B. pertussis genetic variation. We found a high level of conservation of gene content among 137 B. pertussis strains with different geographical, temporal, and epidemiological associations, using comparative genomic hybridization. The limited number of regions of difference were frequently located adjacent to copies of the insertion element IS481, which is present in high numbers in the B. pertussis chromosome. This repeated sequence appears to provide targets for homologous recombination, resulting in deletion of intervening sequences. Using subtractive hybridization, we searched for previously undetected genes in diverse clinical isolates but did not detect any new genes, indicating that gene acquisition is rare in B. pertussis. In contrast, we found evidence of altered gene order in the several strains that were examined and again found an association of IS481 with sites of rearrangement. Finally, we compared whole-genome expression profiles of different strains and found significant changes in transcript abundance, even in the same strain after as few as 12 laboratory passages. This combination of approaches provides a detailed picture of a pathogenic species with little gene loss or gain but with the capacity to generate variation by rearranging its chromosome and altering gene expression. These findings have broad implications for host adaptation by microbial pathogens.

Bordetella pertussis↗
PubMed2002

Functional profiling of the Saccharomyces cerevisiae genome.

Determining the effect of gene deletion is a fundamental approach to understanding gene function. Conventional genetic screens exhibit biases, and genes contributing to a phenotype are often missed. We systematically constructed a nearly complete collection of gene-deletion mutants (96% of annotated open reading frames, or ORFs) of the yeast Saccharomyces cerevisiae. DNA sequences dubbed 'molecular bar codes' uniquely identify each strain, enabling their growth to be analysed in parallel and the fitness contribution of each gene to be quantitatively assessed by hybridization to high-density oligonucleotide arrays. We show that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment. Less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal growth in four of the tested conditions. Our results validate the yeast gene-deletion collection as a valuable resource for functional genomics.

Cell Size↗
PubMed2001

The promise of a protist: the Dictyostelium genome project.

The genome of Dictyostelium discoideum is being sequenced by an international consortium and is scheduled for completion in the next few years. The sequence will accelerate research into a number of phenomena carried out by these versatile soil amoebae, providing insight into analogous processes that operate in a wide range of eukaryotes. These include the dynamic regulation of the cytoskeleton during chemotaxis, intercellular communication during multicellular development and the intracellular growth of bacterial pathogens. The current state of the genome project is summarized and the challenges of sequencing a genome with unusually low guanine and cytosine content and with a bimodal base composition distribution are discussed. The prospects for functional analyses at the genomic scale are also considered.

Animals↗
PubMed2005

Fish as models for environmental genomics.

Fish offer important advantages for defining the organism-environment interface and responses to natural or anthropogenic stressors. Genomic approaches using fish promise increased investigative power, and have already provided insights into the mechanisms that underlie short-term and long-term environmental adaptations. The range of fish species for which genomic resources are available is increasing, but will require significant further expansion for the optimal application of fish environmental genomics.

Adaptation, Physiological↗
PubMed2003

GenoMap, a circular genome data viewer.

A Tcl/Tk-based application called GenoMap is described, a viewer for genome-wide map of microarray expression data within a circular bacterial genome. An interactive interface facilitates easy identification of the expressed region. This software is also used for drawing genome-wide quantitative data.

Computer Graphics↗
PubMed2005

Distortion of quantitative genomic and expression hybridization by Cot-1 DNA: mitigation of this effect.

Cross-hybridization of repetitive sequences in genomic and expression arrays is reported to be suppressed with repeat-blocking nucleic acids (C(o)t-1 DNA). Contrary to expectation, we demonstrated that C(o)t-1 also enhanced non-specific hybridization between probes and genomic targets. When added to target DNA, C(o)t-1 enhanced hybridization (2.2- to 3-fold) to genomic probes containing conserved repetitive elements. In addition to repetitive sequences, C(o)t-1 was found to be enriched for linked single copy (sc) sequences. Adventitious association between these sequences and probes distort quantitative measurements of the probes hybridized to desired genomic targets. Quantitative microarray hybridization studies using C(o)t-1 DNA are also susceptible to these effects, especially for probes that map to genomic regions containing conserved repetitive sequences. Hybridization measurements with such probes are less reproducible in the presence of C(o)t-1 than for probes derived from sc regions or regions containing divergent repeat elements, a finding with significant ramifications for genomic and expression microarray studies. We mitigated the requirement for C(o)t-1 either by hybridizing with computationally defined sc probes lacking repeats or by substituting synthetic repetitive elements complementary to sequences in genomic probes.

DNA↗
PubMed2006

[Some thoughts on studying essence of syndromes based on genomics].

In the postgenomic era, the contents of methodology of human genomics researching is similar to the views of holism and syndromes differentiation of traditional Chinese medicine. So far, many scholars have probed beneficially into the essence of syndrome on the gene level. Since the syndrome of TCM have close intrinsic relations with not only the difference of gene expression but also the gene polymorphisms, therefore, it is capable, taking this as a cut-in point, to clarify the essential of syndrome by fully applying the advanced experimental methods and detecting techniques to deeply investigate the gene difference expression spectra based on the study of the relationship between gene polymorphisms and syndrome susceptibility, and analyze the regulatory network of the related genes from the view of functional genomics.

Diagnosis, Differential↗
PubMed2006

Comparative gene expression profiling reveals partially overlapping but distinct genomic actions of different antiestrogens in human breast cancer cells.

Antiestrogens used for breast cancer (BC) treatment differ among each other for the ability to affect estrogen receptor (ER) activity and thereby inhibit hormone-responsive cell functions and viability. We used high-density cDNA microarrays for a comprehensive definition of the gene pathways affected by 17beta-estradiol (E2), ICI 182,780 (ICI), 4OH-tamoxifen (Tamoxifen), and raloxifene (RAL) in ER-positive ZR-75.1 cells, a suitable model to investigate estrogen and antiestrogen actions in hormone-responsive BC. The expression of 601 genes was significantly affected by E2 in these cells; in silico analysis reveals that 86 among them include one or more potential ER binding site within or near the promoter and that the binding site signatures for E2F-1, NF-Y, and NRF-1 transcription factors are significantly enriched in the promoters of genes induced by estrogen treatment, while those for CAC-binding protein and LF-A1 in those repressed by the hormone, pointing to novel transcriptional effectors of secondary responses to estrogen in BC cells. Interestingly, expression of 176 E2-regulated mRNAs was unaffected by any of the antiestrogens tested, despite the fact that under the same conditions the transcriptional and cell cycle stimulatory activities of ER were inhibited. On the other hand, of 373 antiestrogen-responsive genes identified here, 52 were unresponsive to estrogen and 25% responded specifically to only one of the compounds tested, revealing non-overlapping and clearly distinguishable effects of the different antiestrogens in BC cells. As some of these differences reflect specificities of the mechanism of action of the antiestrogens tested, we propose to exploit this gene set for characterization of novel hormonal antagonists and selective estrogen receptor modulators (SERMs) and as a tool for testing new associations of antiestrogens, more effective against BC.

Breast Neoplasms↗