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Biomedical subjects

Núria López-Bigas

Publications and source records attributed to Núria López-Bigas.

11 recordsLinked to original sources

Differences in the evolutionary history of disease genes affected by dominant or recessive mutations.

BACKGROUND: Global analyses of human disease genes by computational methods have yielded important advances in the understanding of human diseases. Generally these studies have treated the group of disease genes uniformly, thus ignoring the type of disease-causing mutations (dominant or recessive). In this report we present a comprehensive study of the evolutionary history of autosomal disease genes separated by mode of inheritance. RESULTS: We examine differences in protein and coding sequence conservation between dominant and recessive human disease genes. Our analysis shows that disease genes affected by dominant mutations are more conserved than those affected by recessive mutations. This could be a consequence of the fact that recessive mutations remain hidden from selection while heterozygous. Furthermore, we employ functional annotation analysis and investigations into disease severity to support this hypothesis. CONCLUSION: This study elucidates important differences between dominantly- and recessively-acting disease genes in terms of protein and DNA sequence conservation, paralogy and essentiality. We propose that the division of disease genes by mode of inheritance will enhance both understanding of the disease process and prediction of candidate disease genes in the future.

Animals↗

Structural and functional properties of genes involved in human cancer.

BACKGROUND: One of the main goals of cancer genetics is to identify the causative elements at the molecular level leading to cancer. RESULTS: We have conducted an analysis of a set of genes known to be involved in cancer in order to unveil their unique features that can assist towards the identification of new candidate cancer genes. CONCLUSION: We have detected key patterns in this group of genes in terms of the molecular function or the biological process in which they are involved as well as sequence properties. Based on these features we have developed an accurate Bayesian classification model with which human genes have been scored for their likelihood of involvement in cancer.

Amino Acid Sequence↗

Highly consistent patterns for inherited human diseases at the molecular level.

Over 1600 mammalian genes are known to cause an inherited disorder, when subjected to one or more mutations. These disease genes represent a unique resource for the identification and quantification of relationships between phenotypic attributes of a disease and the molecular features of the associated disease genes, including their ascribed annotated functional classes and expression patterns. Such analyses can provide a more global perspective and a deeper understanding of the probable causes underlying human hereditary diseases. In this perspective and critical view of disease genomics, we present a comparative analysis of genes reported to cause inherited diseases in humans in terms of their causative effects on physiology, their genetics and inheritance modes, the functional processes they are involved in and their expression profiles across a wide spectrum of tissues. Our analysis reveals that there are more extensive correlations between these attributes of genetic disease genes than previously appreciated. For instance, the functional pattern of genes causing dominant and recessive diseases is markedly different. Also, the function of the genes and their expression correlate with the type of disease they cause when mutated. The results further indicate that a comparative genomics approach for the analysis of genes linked to human genetic diseases will facilitate the elucidation of the underlying molecular and cellular mechanisms.

Biomarkers↗

Expansion of the BioCyc collection of pathway/genome databases to 160 genomes.

The BioCyc database collection is a set of 160 pathway/genome databases (PGDBs) for most eukaryotic and prokaryotic species whose genomes have been completely sequenced to date. Each PGDB in the BioCyc collection describes the genome and predicted metabolic network of a single organism, inferred from the MetaCyc database, which is a reference source on metabolic pathways from multiple organisms. In addition, each bacterial PGDB includes predicted operons for the corresponding species. The BioCyc collection provides a unique resource for computational systems biology, namely global and comparative analyses of genomes and metabolic networks, and a supplement to the BioCyc resource of curated PGDBs. The Omics viewer available through the BioCyc website allows scientists to visualize combinations of gene expression, proteomics and metabolomics data on the metabolic maps of these organisms. This paper discusses the computational methodology by which the BioCyc collection has been expanded, and presents an aggregate analysis of the collection that includes the range of number of pathways present in these organisms, and the most frequently observed pathways. We seek scientists to adopt and curate individual PGDBs within the BioCyc collection. Only by harnessing the expertise of many scientists we can hope to produce biological databases, which accurately reflect the depth and breadth of knowledge that the biomedical research community is producing.

Animals↗

CoGenT++: an extensive and extensible data environment for computational genomics.

MOTIVATION: CoGenT++ is a data environment for computational research in comparative and functional genomics, designed to address issues of consistency, reproducibility, scalability and accessibility. DESCRIPTION: CoGenT++ facilitates the re-distribution of all fully sequenced and published genomes, storing information about species, gene names and protein sequences. We describe our scalable implementation of ProXSim, a continually updated all-against-all similarity database, which stores pairwise relationships between all genome sequences. Based on these similarities, derived databases are generated for gene fusions--AllFuse, putative orthologs--OFAM, protein families--TRIBES, phylogenetic profiles--ProfUse and phylogenetic trees. Extensions based on the CoGenT++ environment include disease gene prediction, pattern discovery, automated domain detection, genome annotation and ancestral reconstruction. CONCLUSION: CoGenT++ provides a comprehensive environment for computational genomics, accessible primarily for large-scale analyses as well as manual browsing.

Chromosome Mapping↗

Are splicing mutations the most frequent cause of hereditary disease?

Disease-causing point mutations are assumed to act predominantly through subsequent individual changes in the amino acid sequence that impair the normal function of proteins. However, point mutations can have a more dramatic effect by altering the splicing pattern of the gene. Here, we describe an approach to estimate the overall importance of splicing mutations. This approach takes into account the complete set of genes known to be involved in disease and suggest that, contrary to current assumptions, many mutations causing disease may actually be affecting the splicing pattern of the genes.

Amino Acid Substitution↗

Genome-wide identification of genes likely to be involved in human genetic disease.

Sequence analysis of the group of proteins known to be associated with hereditary diseases allows the detection of key distinctive features shared within this group. The disease proteins are characterized by greater length of their amino acid sequence, a broader phylogenetic extent, and specific conservation and paralogy profiles compared with all human proteins. This unique property pattern provides insights into the global nature of hereditary diseases and moreover can be used to predict novel disease genes. We have developed a computational method that allows the detection of genes likely to be involved in hereditary disease in the human genome. The probability score assignments for the human genome are accessible at http://maine.ebi. ac.uk:8000/services/dgp.

Amino Acids↗

A common frameshift mutation and other variants in GJB4 (connexin 30.3): Analysis of hearing impairment families.

Mutations in GJB1, GJB2, GJB3 and GJB6 are involved in hearing impairment. GJB2, GJB3 and GJB6 are also mutated in patients with hyperproliferative skin disorders. The human GJB4 gene has been deduced in silico and a mutation in a family with erythrokeratodermia variabilis has been reported. We describe here the analysis of the GJB4 gene in hearing impairment patients and control subjects. We have identified a common (4%) frameshift mutation (154del4) in GJB4 in both affected and hearing subjects, one patient being homozygous for the mutation. We have also detected five amino acid variants (R103C, R124Q, R160C, C169W and E204A) in individuals that have not skin disorders. While mutation 154del4 is not associated with hearing impairment the involvement of some of the amino acid variants detected here is uncertain. These GJB4 variants should help to define the putative role of connexin 30.3 in both skin disorders and hearing impairment.

Amino Acid Sequence↗

Expression profiles of the connexin genes, Gjb1 and Gjb3, in the developing mouse cochlea.

Several connexin genes (GJB1, GJB2, GJB3, GJB6 and GJA1) have been found mutated in patients with non-syndromic and/or syndromic deafness indicating an important role of these proteins in the auditory system. In order to better understand the function of the connexins in the inner ear we have analyzed the gene expression profiles of two connexin genes, Gjb1 (connexin 32) and Gjb3 (connexin 31), by in situ hybridization during the mouse cochlea organogenesis, from early otocyst up to the mature organ in adult. In the developing otocyst epithelium, some restricted domains expressed Gjb3 and Gjb1 whilst high levels of both transcripts were present in the surrounding mesenchymal tissue. As development proceeds, expression of these two genes was found in various subtypes of fibrocytes, either within the spiral limbus or along the spiral ligament, as well as in the basilar membrane cells, in the Reissner's membrane cells, and in subsets of the cellular elements of the cochlear ganglion. Gjb3 and Gjb1 expression was spatiotemporally modulated within the sensory hair cells and the various supporting cells that compose the developing organ of Corti. A transitory expression of Gjb1 was found in the basal and intermediate cells of the stria vascularis. In the adult cochlea Gjb1 transcripts disappeared while Gjb3 expression remained present in fibrocytes with specific expression patterns.

Animals↗

Expression profiles of the connexin genes, Gjb1 and Gjb3, in the developing mouse cochlea.

Several connexin genes (GJB1, GJB2, GJB3, GJB6 and GJA1) have been found mutated in patients with non-syndromic and/or syndromic deafness indicating an important role of these proteins in the auditory system. In order to better understand the function of the connexins in the inner ear we have analyzed the gene expression profiles of two connexin genes, Gjb1 (connexin 32) and Gjb3 (connexin 31), by in situ hybridization during the mouse cochlea organogenesis, from early otocyst up to the mature organ in adult. In the developing otocyst epithelium, some restricted domains expressed Gjb3 and Gjb1 whilst high levels of both transcripts were present in the surrounding mesenchymal tissue. As development proceeds, expression of these two genes was found in various subtypes of fibrocytes, either within the spiral limbus or along the spiral ligament, as well as in the basilar membrane cells, in the Reissner's membrane cells, and in subsets of the cellular elements of the cochlear ganglion. Gjb3 and Gjb1 expression was spatiotemporally modulated within the sensory hair cells and the various supporting cells that compose the developing organ of Corti. A transitory expression of Gjb1 was found in the basal and intermediate cells of the stria vascularis. In the adult cochlea Gjb1 transcripts disappeared while Gjb3 expression remained present in fibrocytes with specific expression patterns.

Animals↗

Connexin mutations in hearing loss, dermatological and neurological disorders.

Gap junctions are important structures in cell-to-cell communication. Connexins, the protein units of gap junctions, are involved in several human disorders. Mutations in beta-connexin genes cause hearing, dermatological and peripheral nerve disorders. Recessive mutations in the gene encoding connexin 26 (GJB2) are the most common cause of childhood-onset deafness. The combination of mutations in the GJB2 and GJB6 (Cx30) genes also cause childhood hearing impairment. Although both recessive and dominant connexin mutants are functionally impaired, dominant mutations might have in addition a dominant-negative effect on wild-type connexins. Some dominant mutations in beta-connexin genes have a pleiotropic effect at the level of the skin, the auditory system and the peripheral nerves. Understanding the genotype-phenotype correlations in diseases caused by mutations in connexin genes might provide important insight into the mechanisms that lead to these disorders.

Caspase 1↗