PubMed Health⌕ Search

PubMed · 10902170

MappetShow: non-linear visualization for genome data.

Abstract

The genome mapping projects now produce very dense maps with up to several thousands of markers per chromosome. Besides synteny plays a increasing role in mapping: enrichment of poor maps from the maps of close genomes (in terms of evolution) is a high-reward task. We propose a map viewer adapted to this situation: MappetShow gives a clear view of very dense maps and compares efficiently several maps. MappetShow is based on non-linear viewing and is written in Java. A map description language isolates the software from the data sources. This software was easily used on data coming from as different sources as an Object Request Broker, an Object-Oriented Database, or a flat data stream. MappetShow can be browsed at the URL http:¿www.infobiogen.fr/services/Mappet. More generally we discuss how to use the non-linear viewing concept in molecular biology data visualization.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

F Guyon, G Vaysseix, E Barillot. 2000. MappetShow: non-linear visualization for genome data.. https://doi.org/10.1142/9789814447331_0020

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Mitotic karyotyping and FISH mapping of the gender-specific locus indicate an advanced XY system in Hippophae rhamnoides.

Hippophae rhamnoides ssp. turkestanica, a subdioecious plant inhabiting the cold desert of the Indian Himalaya, has gained immense recognition for its nutritional and medicinal values. In recent years, the plant species has proven to be a suitable system to understand the evolution of dioecy. Despite its biological significance, the cytogenetics of this dioecious plant is unclear due to various conflicting accounts of its X-Y chromosome system, particularly the length of Y-chromosome. In this study, we resolved these ambiguities through comprehensive cytogenetic analyses across diverse western Himalayan populations. Using morphometric analysis and fluorescence in situ hybridization (FISH) with a gender-specific marker (HRMSSR), we confirmed homomorphic XX chromosomes in females and heteromorphic sex-chromosomes in males with a notably smaller Y-chromosome. The investigation also revealed a predominant somatic chromosome number of 2n = 24, although minor deviations (2n = 18, 20, 22) appeared at the seed level. These findings highlight an evolutionarily advanced sex-chromosome system. This first detailed cytogenetic investigation of Himalayan Seabuckthorn provides critical insights into the chromosomal architecture, laying a crucial foundation for future evolutionary, genomic, and conservation studies in the species.

Chromosome Mapping↗

A novel homozygous deletion at chromosomal band 6q27 in an ovarian cancer cell line delineates the position of a putative tumor suppressor gene.

Chromosomal band 6q27 is believed to contain a tumor suppressor gene important in the development of several cancer types, including ovarian cancer. However, repeated efforts to identify a tumor suppressor gene in this region have been unsuccessful. Because homozygous deletions have been useful in the positional cloning of a number of tumor suppressor genes, we initiated a systematic search for such deletions in ovarian cancer cell lines using 6q microsatellite markers. One of the cell lines, OV167, was found to contain an 80 kb homozygous deletion encompassing marker D6S193 at 6q27 but excluding nearby marker D6S297. No known genes were present in the deleted region. Because the homozygous deletion might affect the expression of nearby genes, we analyzed the expression of the two closest known genes flanking the deletion, RNASE6PL and RSK-3. The expression of these genes were unaffected by the homozygous deletion, suggesting that the functional target of the deletion is located between these two genes. A search of the region against expressed sequence tag (EST) databases revealed that it contained four sets of expressed sequences. The first expressed sequences were derived from a LINE repetitive element and were considered unlikely to represent a tumor suppressor gene. The other expressed sequence tags identified did not show homology to known genes and are currently being investigated. This data may significantly reduce the magnitude of the search for the 6q tumor suppressor gene as it suggests a small area as a prime target for investigation.

Chromosome Mapping↗

Evidence for a susceptibility gene, SLEV1, on chromosome 17p13 in families with vitiligo-related systemic lupus erythematosus.

Both systemic lupus erythematosus (SLE) and vitiligo are autoimmune disorders that have strong evidence of complex genetic contributions to their etiology, but, to date, efforts using genetic linkage to find the susceptibility genes for either phenotype have met with limited success. Since autoimmune diseases are thought to share at least some of their genetic origins, and since only a small minority (16 of 92) of the European-American pedigrees multiplex for SLE in our collection have one or more affected members with vitiligo, we hypothesized that these pedigrees might be more genetically homogeneous at loci important to both SLE and vitiligo and, hence, have increased power for detection of linkage. We therefore evaluated genomewide microsatellite-marker-scan data for markers at an average marker density of approximately 11 cM in these 16 European-American pedigrees and identified a significant linkage at 17p13, where the maximum multipoint parametric LOD score was 3.64 (P<4.3x10(-5)) and the nonparametric linkage score was 4.02 (P<2.8x10(-5)), respectively. The segregation behavior of this linkage suggests a recessive mode of inheritance with a virtually homogeneous genetic effect in these 16 pedigrees. These results support the hypotheses that SLE and vitiligo may share important genetic effects and that sampling on the basis of clinical covariates dramatically improves power to identify genetic effects.

Chromosome Mapping↗