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PubMed2002

Molecular cytogenetic analysis of head and neck squamous cell carcinoma: By comparative genomic hybridization, spectral karyotyping, and expression array analysis.

BACKGROUND: A combination of molecular cytogenetic and expression array analysis has been performed on head and neck squamous cell carcinoma (HNSCC) of the oral cavity and supraglottis. These studies were performed to identify consensus regions of chromosomal imbalance and structural rearrangement to determine whether genes located in these genomic regions are subject to alterations in gene expression. Such combinatorial studies may help to identify recurrent patterns of altered gene expression in the context of specific chromosomal changes. METHODS: Comparative genomic hybridization (CGH) was used to identify net genomic imbalances and spectral karyotyping (SKY) to visualize the numerical and structural chromosomal changes in metaphase preparations. Expression microarray analysis of HNSCC cell lines and primary tongue tumors was also performed to identify genes that were commonly overexpressed or underexpressed compared with adjacent normal tissue. RESULTS: CGH detected gains at 3q (64%), 8q (45%) and 6q22-qter (45%) and losses at 18q22-qter (27%). SKY analysis of seven cell lines identified frequent structural rearrangement of the following chromosomal regions: 3q, 5p13-q11.2, 5q32-q34, 7p12-q11.2, 8p12-q12, 9p, 10p, 13p13-q12, 14q11.1-q11.2, 15p13-q11.2, 16p11.1-q11.1, 18q22-q23, and 22p13-q11.2. Consistent deregulation of interleukin 8, integrin alpha-6, c-MYC, epithelial discoidin domain receptor 1, and sterol regulatory element binding protein were apparent by expression analysis. Interestingly, some of these genes map to regions of genomic imbalance and chromosomal rearrangement as determined by our molecular cytogenetic analysis. CONCLUSIONS: In this small study, a combinatorial analysis using SKY, CGH, and microarray provides a model linking the changes in gene expression to changes in chromosomal dosage and structure. This approach has identified a subset of genetic changes that provide new opportunities for investigating the genetic basis of tumorigenesis in HNSCC.

Carcinoma, Squamous Cell↗
PubMed2006

SBEAMS-Microarray: database software supporting genomic expression analyses for systems biology.

BACKGROUND: The biological information in genomic expression data can be understood, and computationally extracted, in the context of systems of interacting molecules. The automation of this information extraction requires high throughput management and analysis of genomic expression data, and integration of these data with other data types. RESULTS: SBEAMS-Microarray, a module of the open-source Systems Biology Experiment Analysis Management System (SBEAMS), enables MIAME-compliant storage, management, analysis, and integration of high-throughput genomic expression data. It is interoperable with the Cytoscape network integration, visualization, analysis, and modeling software platform. CONCLUSION: SBEAMS-Microarray provides end-to-end support for genomic expression analyses for network-based systems biology research.

Chromosome Mapping↗
PubMed1997

Assessment of genomic damage in colorectal cancer by DNA fingerprinting: prognostic applications.

PURPOSE: Here we evaluate the prognostic significance of the relative value of genomic damage assessed by DNA fingerprinting in colorectal cancer. MATERIALS AND METHODS: Sixty-three tumor and paired normal mucosa samples were included in the study. Genomic damage was assessed by comparative analysis of paired normal and tumor tissue DNA fingerprints by the arbitrarily primed polymerase chain reaction (AP-PCR). Decreases and increases of intensity in bands were computed and referred to the total number of visualized bands per case. An index reflecting the genomic damage fraction (GDF), with separated values for losses and gains, was obtained for each tumor. This index was used to determine molecular and clinicopathologic correlates after exclusion of eight cases displaying microsatellite instability. RESULTS: Fifty-five cases were considered for the statistical analysis. The average fraction of altered bands per tumor was 0.287+/-0.121. When losses and gains were computed separately, the average fraction of changes was 0.126+/-0.113 and 0.161+/-0.120, respectively. Tumors lacking a ras mutation showed an increased GDF, primarily because of a higher fraction of gains. Tumors that were at advanced Dukes' stages and that were poorly differentiated also displayed a higher GDF. Finally, disease-free survival was significantly diminished in tumors with a GDF greater than 0.314 (P < .001). The prognostic significance of the GDF was independent of Dukes' stage (Cox multivariate analysis, P = .005). CONCLUSION: The degree of genomic damage assessed by unbiased DNA fingerprinting correlates with genotypic, phenotypic, and clinical variables in colorectal carcinoma and may be useful in assessing prognosis in colorectal cancer.

Aged↗
PubMed2005

Long-range RNA-RNA interactions circularize the dengue virus genome.

Secondary and tertiary RNA structures present in viral RNA genomes play essential regulatory roles during translation, RNA replication, and assembly of new viral particles. In the case of flaviviruses, RNA-RNA interactions between the 5' and 3' ends of the genome have been proposed to be required for RNA replication. We found that two RNA elements present at the ends of the dengue virus genome interact in vitro with high affinity. Visualization of individual molecules by atomic force microscopy revealed that physical interaction between these RNA elements results in cyclization of the viral RNA. Using RNA binding assays, we found that the putative cyclization sequences, known as 5' and 3' CS, present in all mosquito-borne flaviviruses, were necessary but not sufficient for RNA-RNA interaction. Additional sequences present at the 5' and 3' untranslated regions of the viral RNA were also required for RNA-RNA complex formation. We named these sequences 5' and 3' UAR (upstream AUG region). In order to investigate the functional role of 5'-3' UAR complementarity, these sequences were mutated either separately, to destroy base pairing, or simultaneously, to restore complementarity in the context of full-length dengue virus RNA. Nonviable viruses were recovered after transfection of dengue virus RNA carrying mutations either at the 5' or 3' UAR, while the RNA containing the compensatory mutations was able to replicate. Since sequence complementarity between the ends of the genome is required for dengue virus viability, we propose that cyclization of the RNA is a required conformation for viral replication.

Animals↗
PubMed2002

Representation and processing of complex DNA spatial architecture and its annotated genomic content.

This paper presents a new general approach for the spatial representation and visualization of DNA molecule and its annotated information. This approach is based on a biological 3D model that predicts the complex spatial trajectory of huge naked DNA. With such modeling, a global vision of the sequence is possible, which is different and complementary to other representations as textual, linguistics or syntactic ones. The DNA is well known as a three-dimensional structure. Whereas, the spatial information plays a great part during its evolution and its interaction with the other biological elements This work will motivate investigations in order to launch new bioinformatics studies for the analysis of the spatial architecture of the genome. Besides, in order to obtain a friendly interactive visualization, a powerful graphic modeling is proposed including DNA complex trajectory management and its annotated-based content structuring. The paper describes spatial architecture modeling, with consideration of both biological and computational constraints. This work is implemented through a powerful graphic software tool, named ADN-Viewer. Several examples of visualization are shown for various organisms and biological elements.

DNA↗
PubMed2003

CGH-Plotter: MATLAB toolbox for CGH-data analysis.

CGH-Plotter is a MATLAB toolbox with a graphical user interface for the analysis of comparative genomic hybridization (CGH) microarray data. CGH-Plotter provides a tool for rapid visualization of CGH-data according to the locations of the genes along the genome. In addition, the CGH-Plotter identifies regions of amplifications and deletions, using k-means clustering and dynamic programming. The application offers a convenient way to analyze CGH-data and can also be applied for the analysis of cDNA microarray expression data. CGH-Plotter toolbox is platform independent and requires MATLAB 6.1 or higher to operate.

Cluster Analysis↗
PubMedDate not supplied

Genomics and proteomics: the new millennium of drug discovery and development.

One of the most pressing issues facing the pharmaceutical and biotechnology industry is the tremendous dropout rate of lead drug candidates. Over the last two decades, several new genomic technologies have been developed in hopes of addressing the issues of target identification and lead candidate optimization. Gene expression microarray is one of these technologies and this review describes the four main formats, which are currently available: (a) cDNA; (b) oligonucleotide; (c) electrokinetic; and (d) fiberoptic. Many of these formats have been developed with the goal of screening large numbers of genes. Recently, a high-throughput array format has been developed where a large number of samples can be assayed using arrays in parallel. In addition, focusing on gene expression may be only one avenue in preventing lead candidate failure. Proteomics or the study of protein expression may also play a role. Two-dimensional polyacrylamide gel electrophoresis (2-DE) coupled with mass spectroscopy has been the most widely accepted format to study protein expression. However, protein microarrays are now being developed and modified to a high-throughput screening format. Examples of several gene and protein expression studies as they apply to drug discovery and development are reviewed. These studies often result in large data sets. Examples of how several statistical methods (principal components analysis [PCA], clustering methods, Shannon entropy, etc.) have been applied to these data sets are also described. These newer genomic and proteomic technologies and their analysis and visualization methods have the potential to make the drug discovery and development process less costly and more efficient by aiding to select better target and lead candidates.

Drug Industry↗
PubMed2025

WinPCA: a package for windowed principal component analysis.

SUMMARY: With chromosomal reference genomes and population-scale whole genome-sequencing becoming increasingly accessible, contemporary studies often include characterizations of the genomic landscape as it varies along chromosomes, commonly termed genome scans. While traditional summary statistics like FST and dXY between pre-assigned populations remain integral to characterizing the genomic divergence profile, PCA differs by providing single-sample resolution, thereby supporting the identification of polymorphic inversions, introgression and other types of divergent sequence that may not be fully aligned with global population structure. Here, we introduce WinPCA, a user-friendly package to compute, polarize and visualize genetic principal components in windows along the genome. To accommodate low-coverage whole genome-sequencing datasets, WinPCA can optionally make use of PCAngsd methods to compute principal components in a genotype likelihood framework. WinPCA accepts variant data in either VCF or BEAGLE format and can generate rich plots for interactive data exploration and downstream presentation. AVAILABILITY AND IMPLEMENTATION: WinPCA is implemented in Python and freely available at https://github.com/MoritzBlumer/winpca and https://doi.org/10.5281/zenodo.15614979.

Software↗
PubMed2004

WormBase: a multi-species resource for nematode biology and genomics.

WormBase (http://www.wormbase.org/) is the central data repository for information about Caenorhabditis elegans and related nematodes. As a model organism database, WormBase extends beyond the genomic sequence, integrating experimental results with extensively annotated views of the genome. The WormBase Consortium continues to expand the biological scope and utility of WormBase with the inclusion of large-scale genomic analyses, through active data and literature curation, through new analysis and visualization tools, and through refinement of the user interface. Over the past year, the nearly complete genomic sequence and comparative analyses of the closely related species Caenorhabditis briggsae have been integrated into WormBase, including gene predictions, ortholog assignments and a new synteny viewer to display the relationships between the two species. Extensive site-wide refinement of the user interface now provides quick access to the most frequently accessed resources and a consistent browsing experience across the site. Unified single-page views now provide complete summaries of commonly accessed entries like genes. These advances continue to increase the utility of WormBase for C.elegans researchers, as well as for those researchers exploring problems in functional and comparative genomics in the context of a powerful genetic system.

Animals↗
PubMed2006

GeneTrees: a phylogenomics resource for prokaryotes.

The GeneTrees phylogenomics system pursues comparative genomic analyses from the perspective of gene phylogenies for individual genes. The GeneTrees project has the goal of providing detailed evolutionary models for all protein-coding gene components of the fully sequenced genomes. Currently, a database of alignments and trees for all protein sequences for 325 fully sequenced and annotated prokaryote genomes is available. The prokaryote database contains 890,000 protein sequences organized into over 100,000 alignments, each described by a phylogenetic tree. An original homology group discovery tool assembles sets of related proteins from all versus all pairwise alignments. Multiple alignments for each homology group are stored and subjected to phylogenetic tree inference. A graphical web interface provides visual exploration of the GeneTrees database. Homology groups can be queried by sequence identifiers or annotation terms. Genomes can be browsed visually on a gene map of each chromosome or plasmid. Phylogenetic trees with support values are displayed in conjunction with the associated sequence alignment. A variety of classes of information can be selected to label the tree tips to aid in visual evaluation of annotation and gene function. This web interface is available at http://genetrees.vbi.vt.edu.

Bacterial Proteins↗
PubMed2006

A novel data mining method to identify assay-specific signatures in functional genomic studies.

BACKGROUND: The highly dimensional data produced by functional genomic (FG) studies makes it difficult to visualize relationships between gene products and experimental conditions (i.e., assays). Although dimensionality reduction methods such as principal component analysis (PCA) have been very useful, their application to identify assay-specific signatures has been limited by the lack of appropriate methodologies. This article proposes a new and powerful PCA-based method for the identification of assay-specific gene signatures in FG studies. RESULTS: The proposed method (PM) is unique for several reasons. First, it is the only one, to our knowledge, that uses gene contribution, a product of the loading and expression level, to obtain assay signatures. The PM develops and exploits two types of assay-specific contribution plots, which are new to the application of PCA in the FG area. The first type plots the assay-specific gene contribution against the given order of the genes and reveals variations in distribution between assay-specific gene signatures as well as outliers within assay groups indicating the degree of importance of the most dominant genes. The second type plots the contribution of each gene in ascending or descending order against a constantly increasing index. This type of plots reveals assay-specific gene signatures defined by the inflection points in the curve. In addition, sharp regions within the signature define the genes that contribute the most to the signature. We proposed and used the curvature as an appropriate metric to characterize these sharp regions, thus identifying the subset of genes contributing the most to the signature. Finally, the PM uses the full dataset to determine the final gene signature, thus eliminating the chance of gene exclusion by poor screening in earlier steps. The strengths of the PM are demonstrated using a simulation study, and two studies of real DNA microarray data--a study of classification of human tissue samples and a study of E. coli cultures with different medium formulations. CONCLUSION: We have developed a PCA-based method that effectively identifies assay-specific signatures in ranked groups of genes from the full data set in a more efficient and simplistic procedure than current approaches. Although this work demonstrates the ability of the PM to identify assay-specific signatures in DNA microarray experiments, this approach could be useful in areas such as proteomics and metabolomics.

Algorithms↗
PubMed2005

PROPHECY--a database for high-resolution phenomics.

The rapid recent evolution of the field phenomics--the genome-wide study of gene dispensability by quantitative analysis of phenotypes--has resulted in an increasing demand for new data analysis and visualization tools. Following the introduction of a novel approach for precise, genome-wide quantification of gene dispensability in Saccharomyces cerevisiae we here announce a public resource for mining, filtering and visualizing phenotypic data--the PROPHECY database. PROPHECY is designed to allow easy and flexible access to physiologically relevant quantitative data for the growth behaviour of mutant strains in the yeast deletion collection during conditions of environmental challenges. PROPHECY is publicly accessible at http://prophecy.lundberg.gu.se.

Computer Graphics↗
PubMed1995

A probabilistic algorithm for interactive huge genome comparison.

We designed a new probabilistic algorithm, named PAGEC (probabilistic algorithm for genome comparison), which allowed a highly interactive study of long genomic strings. The comparison between two nucleic acid sequences is based on the creation of multiple index tables, which drastically reduces processing time for huge genomes, e.g. 13 min for a 4 Mb/4 Mb comparison. PAGEC lowered the need for memory when compared with other types of algorithm and took into account the low resolution of the final representation (paper or computer screen). Considering that standard printers permit a 300 d.p.i. resolution, the loss of computed information due to the probabilistic conception of the algorithm was not usually noticeable in the present study, mainly due to increased genomic sizes. Refinement was possible through an interactive zooming system, which enabled the visualization of the lexical base sequences of a considered part of both of the studied genomes. Biological examples of computation based on yeast and animal nucleic acid sequences presented in this paper reveal the flexibility of the PAGEC program, which is a valuable tool for genetic studies as it offers a solution to an important problem that will become even more important as time passes.

Algorithms↗
PubMedDate not supplied

Detection of HHV-6 by the polymerase chain reaction.

The polymerase chain reaction (PCR) was used to detect human herpes virus 6 (HHV-6) sequences in tissue culture. A pair of primers was synthesized and used to amplify a conserved region of the genome. Amplified products were detected either by visualization of UV illuminated ethidium bromide stained gel or, by hybridization with a specific radiolabeled oligonucleotide. As little as 5 fg of HHV-6 could be detected in infected cells, making this assay suitable for diagnostic purposes.

Base Sequence↗
PubMed1991

Use of sulfonated primers to detect and type papillomavirus in cell cultures and cervical biopsies.

Human papillomavirus (HPV) was detected by using two sets of deoxyribonucleotide primers for differentiating between 'low-risk' types (HPV11 and HPV6) and 'high-risk' (hri) types (HPV16, HPV18 and HPV33). A new application of the Chemiprobe method for labeling DNA was used to detect products of the polymerase chain reaction (PCR) from 36 cervical biopsies. This method, first demonstrated by Uchimura et al. (submitted), is based on the sulfonation of a polycytidylic acid tail of 5-20 monomers attached to the 5' end of either one or both of the PCR primers. This procedure can increase the sensitivity of detection of PCR products more than 100-fold with respect to ethidium bromide (EtdBr) staining. Various methods were used to detect hri HPV DNA in the 36 clinical samples. The number of positive results obtained was as follows, two by Southern-blot hybridization; five by PCR amplification followed by electrophoresis and detection of products by EtdBr staining; six by PCR amplification using one or two sulfonated C-tailed primers followed by electroblotting and immunoenzymatic visualization; and five by hybridization of sulfonated genomic viral recombinant with a PCR product immobilized on a membrane. The yield of the PCR product was significantly greater when one of the primers was C-tailed than when both or neither of the primers were C-tailed. PCR employing sulfonated C-tailed oligo primers is very specific and sensitive, and the entire procedure can be employed as a nonradioactive substitute for radioactive dot-blot or Southern-blot hybridization procedures, routinely used for detection of HPV in clinical samples.

Base Sequence↗
PubMed2005

Computational tools for the analysis and visualization of multiple protein-ligand complexes.

Modern methods in genomics and high-throughput crystallography have ensured that we have access to a large and rapidly increasing, number of X-ray structures of protein-ligand complexes. A structure-based approach to drug design aims to exploit this information, but current methods are not suited to the examination of the large numbers of complexes available. We present computational tools that analyse and display multiple protein-ligand interactions and their properties in a simplified way. We illustrate how a novel binding-mode similarity metric is able to cluster 20 ligands complexed to HIV-1 reverse transcriptase into distinct groups. The properties of each cluster are then projected onto a group surface as a series of color gradients. Analysis of these surfaces reveals fundamental similarities and differences in the binding modes of these diverse compounds. In addition, the simplicity of the surface representations facilitates the transfer of information between the crystallographer, computational chemist and the chemist. We also show how two- and three-dimensional (2- and 3-D) similarities can be combined to provide enhanced understanding of 33 factor Xa inhibitor complexes. This methodology has enabled us to identify pharmaceutically relevant relationships between ligands and their binding modes that had previously been hidden in a wealth of data.

Cluster Analysis↗
PubMed2006

Atomic force microscopy investigation of Turnip Yellow Mosaic Virus capsid disruption and RNA extrusion.

Turnip Yellow Mosaic Virus (TYMV) was subjected to a variety of procedures which disrupted the protein capsids and produced exposure of the ssRNA genome. The results of the treatments were visualized by atomic force microscopy (AFM). Both in situ and ex situ freeze-thawing produced RNA emission, though at low efficiency. The RNA lost from such particles was evident, in some cases in the process of exiting the virions. More severe disruption of TYMV and extrusion of intact RNA onto the substrate were produced by drying the virus and rehydrating with neutral buffer. Similar products were also obtained by heating TYMV to 70 -75 degrees C and by exposure to alkaline pH. Experiments showed the nucleic acid to have an elaborate secondary structure distributed linearly along its length.

Capsid↗
PubMed2002

The influence of genetics on contemporary art.

Contemporary visual artists are incorporating genetic concepts into their work, and this work has become prominently featured in numerous museum and gallery exhibitions. Such art uses visual images that represent the language of genomics, the values affected by genetic understanding of the body and the implications of bioengineering. Here, we present various examples of how artists depict aspects of genetics as cultural icons and symbols; in particular, their focus on DNA as information and on the commercialization of genetics research material.

Art↗