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Doron Lancet

Publications and source records attributed to Doron Lancet.

At least 19 recordsLinked to original sources
PubMed2006

Expoldb: expression linked polymorphism database with inbuilt tools for analysis of expression and simple repeats.

BACKGROUND: Quantitative variation in gene expression has been proposed to underlie phenotypic variation among human individuals. A facilitating step towards understanding the basis for gene expression variability is associating genome wide transcription patterns with potential cis modifiers of gene expression. DESCRIPTION: EXPOLDB, a novel Database, is a new effort addressing this need by providing information on gene expression levels variability across individuals, as well as the presence and features of potentially polymorphic (TG/CA)n repeats. EXPOLDB thus enables associating transcription levels with the presence and length of (TG/CA)n repeats. One of the unique features of this database is the display of expression data for 5 pairs of monozygotic twins, which allows identification of genes whose variability in expression, are influenced by non-genetic factors including environment. In addition to queries by gene name, EXPOLDB allows for queries by a pathway name. Users can also upload their list of HGNC (HUGO (The Human Genome Organisation) Gene Nomenclature Committee) symbols for interrogating expression patterns. The online application 'SimRep' can be used to find simple repeats in a given nucleotide sequence. To help illustrate primary applications, case examples of Housekeeping genes and the RUNX gene family, as well as one example of glycolytic pathway genes are provided. CONCLUSION: The uniqueness of EXPOLDB is in facilitating the association of genome wide transcription variations with the presence and type of polymorphic repeats while offering the feature for identifying genes whose expression variability are influenced by non genetic factors including environment. In addition, the database allows comprehensive querying including functional information on biochemical pathways of the human genes. EXPOLDB can be accessed at http://expoldb.igib.res.in/expol.

Base Pairing↗
PubMed2006

Ancient genomic architecture for mammalian olfactory receptor clusters.

BACKGROUND: Mammalian olfactory receptor (OR) genes reside in numerous genomic clusters of up to several dozen genes. Whole-genome sequence alignment nets of five mammals allow their comprehensive comparison, aimed at reconstructing the ancestral olfactory subgenome. RESULTS: We developed a new and general tool for genome-wide definition of genomic gene clusters conserved in multiple species. Syntenic orthologs, defined as gene pairs showing conservation of both genomic location and coding sequence, were subjected to a graph theory algorithm for discovering CLICs (clusters in conservation). When applied to ORs in five mammals, including the marsupial opossum, more than 90% of the OR genes were found within a framework of 48 multi-species CLICs, invoking a general conservation of gene order and composition. A detailed analysis of individual CLICs revealed multiple differences among species, interpretable through species-specific genomic rearrangements and reflecting complex mammalian evolutionary dynamics. One significant instance involves CLIC #1, which lacks a human member, implying the human-specific deletion of an OR cluster, whose mouse counterpart has been tentatively associated with isovaleric acid odorant detection. CONCLUSION: The identified multi-species CLICs demonstrate that most of the mammalian OR clusters have a common ancestry, preceding the split between marsupials and placental mammals. However, only two of these CLICs were capable of incorporating chicken OR genes, parsimoniously implying that all other CLICs emerged subsequent to the avian-mammalian divergence.

Animals↗
PubMed2006

Mutations in olfactory signal transduction genes are not a major cause of human congenital general anosmia.

Anosmia affects the western world population, mostly the elderly, reaching to 5% in subjects over the age of 45 years and strongly lowering their quality of life. A smaller minority (about 0.01%) is born without a sense of smell, afflicted with congenital general anosmia (CGA). No causative genes for human CGA have been identified yet, except for some syndromic cases such as Kallman syndrome. In mice, however, deletion of any of the 3 main olfactory transduction components (guanidine triphosphate binding protein, adenylyl cyclase, and the cyclic adenosine monophosphate-gated channel) causes profound reduction of physiological responses to odorants. In an attempt to identify human CGA-related mutations, we performed whole-genome linkage analysis in affected families, but no significant linkage signals were observed, probably due to the small size of families analyzed. We further carried out direct mutation screening in the 3 main olfactory transduction genes in 64 unrelated anosmic individuals. No potentially causative mutations were identified, indicating that transduction gene variations underlie human CGA rarely and that mutations in other genes have to be identified. The screened genes were found to be under purifying selection, suggesting that they play a crucial functional role not only in olfaction but also potentially in additional pathways.

Chromatography, High Pressure Liquid↗
PubMed2006

A probabilistic classifier for olfactory receptor pseudogenes.

BACKGROUND: Olfactory receptors (ORs), the largest mammalian gene superfamily (900-1400 genes), has >50% pseudogenes in humans. While most of these inactive genes are identified via coding frame (nonsense) disruptions, seemingly intact genes may also be inactive due to other deleterious (missense) mutations. An ultimate assessment of the actual size of the functional human OR repertoire thus requires an accurate distinction between genes and pseudogenes. RESULTS: To characterize inactive ORs with intact open reading frame, we have developed a probabilistic Classifier for Olfactory Receptor Pseudogenes (CORP). This algorithm is based on deviations from a functionally crucial consensus, constituting sixty highly conserved positions identified by a comparison of two evolutionarily-constrained OR repertoires (mouse and dog) with a small pseudogene fraction. We used a logistic regression analysis to assign appropriate coefficients to the conserved position and thus achieving maximal separation between active and inactive ORs. Consequently, the algorithms identified only 5% of the mouse functional ORs as pseudogenes, setting an upper limit of 0.05 to the false positive detection. Finally we used this algorithm to classify the 384 purportedly intact human OR genes. Of these, 135 were predicted as likely encoding non-functional proteins, and 38 were segregating between active and inactive forms due to missense polymorphisms. CONCLUSION: We demonstrated that the CORP algorithm is capable to distinguish between functional and non-functional OR genes with high precision even when the encoded protein would differ by a single amino acid. Using the CORP algorithm, we predict that approximately 70% of human OR genes are likely non-functional pseudogenes, a much higher number than hitherto suspected. The method we present may be employed for better annotation of inactive members in other gene families as well. CORP algorithm is available at: http://bioportal.weizmann.ac.il/HORDE/CORP/

Algorithms↗
PubMed2006

The association of DNA sequence variation at the MAOA genetic locus with quantitative behavioural traits in normal males.

Monoamine oxidase A (MAOA) catalyses the oxidative deamination of biogenic amines including neurotransmitters, mainly norepinephrine and serotonin in the brain and peripheral tissues. A nonsense mutation in the gene was shown to be involved in a rare X-linked behavioural syndrome, which includes impaired impulse control, aggression and borderline mental retardation (Brunner syndrome). Several recent studies have shown the association of genetic variation of a VNTR in the gene promoter with various pathological behavioural traits. In the present study the association of MAOA genetic variation with a large set of quantitative behavioural traits in normal individuals has been examined. DNA samples from 421 unrelated males were genotyped for 14 SNPs and for the promoter VNTR at the MAOA locus. An additional 16 SNPs were genotyped at apparently neutral loci across the X chromosome to serve as a genomic control for possible false positive associations due to population structure. Behavioural traits were measured using the NEO psychometric questionnaire, which is based on a 5-axis model of personality, and consists of 30 different quantitative traits. There was a robust association of the A2 ("straightforwardness") facet with common allelic variants at the promoter VNTR. Most of the tested traits were not associated with the VNTR despite reasonable power, thus demonstrating that the VNTR influence on quantitative behavioural traits in normal males may be very specific. In contrast, several traits of the C ("conscientiousness") axis were associated with less common SNP-defined haplotypes. Hence, it appears that common genetic variation at the VNTR contributes to the behavioural attribute of "straightforwardness", while rare haplotypes defined by SNPs downstream of the transcription start site may contribute to "conscientiousness". This study is used to address the validation, interpretation and limitation of genetic association studies of quantitative behavioural traits.

Black or African American↗
PubMed2006

AHI1, a pivotal neurodevelopmental gene, and C6orf217 are associated with susceptibility to schizophrenia.

Schizophrenia, a severe neuropsychiatric disorder, is believed to involve multiple genetic factors. A significant body of evidence supports a pivotal role for abnormalities of brain development in the disorder. Linkage signals for schizophrenia map to human chromosome 6q. To obtain a finer localization, we genotyped 180 single nucleotide polymorphisms (SNPs) in a young, inbred Arab-Israeli family sample with a limited number of founders. The SNPs were mostly within a approximately 7 Mb region around the strong linkage peak at 136.2 Mb that we had previously mapped. The most significant genetic association with schizophrenia for single SNPs and haplotypes was within a 500 kb genomic region of high linkage disequilibrium (LD) at 135.85 Mb. In a different, outbred, nuclear family sample that was not appropriate for linkage analysis, under-transmitted haplotypes incorporating the same SNPs (but not the individual SNPs) were significantly associated with schizophrenia. The implicated genomic region harbors the Abelson Helper Integration Site 1 (AHI1) gene, which showed the strongest association signal, and an adjacent, primate-specific gene, C6orf217. Mutations in human AHI1 underlie the autosomal recessive Joubert Syndrome with brain malformation and mental retardation. Previous comparative genomic analysis has suggested accelerated evolution of AHI1 in the human lineage. C6orf217 has multiple splice isoforms and is expressed in brain but does not seem to encode a functional protein. The two genes appear in opposite orientations and their regulatory upstream regions overlap, which might affect their expression. Both, AHI1 and C6orf217 appear to be highly relevant candidate genes for schizophrenia.

Adaptor Proteins, Signal Transducing↗
PubMed2006

Association of the dopamine receptor interacting protein gene, NEF3, with early response to antipsychotic medication.

Genetic variation in antipsychotic drug targets could underlie variability among patients in the time required for antipsychotic effects to be elicited. In a clinical, pharmacogenetic study we focused on the dopamine receptor interacting protein (DRIP) gene family. DRIPs are pivotally involved in regulating dopamine receptor signal transduction. Consecutively hospitalized, acutely psychotic patients with DSM-IV schizophrenia (n=121) were included in the study if they received treatment with typical antipsychotic medication (TYP, n=72) or TYP plus risperidone (TYP-R, n=49) for at least 2 wk. Clinical state and adverse effects were rated at baseline and after 2 wk. Patients improved significantly on both TYP and TYP-R with no significant difference between them. Early responders were defined as patients whose PANSS change scores were greater than the median. Twenty-two single nucleotide polymorphisms (SNPs) were analysed in five DRIP-encoding genes. Two SNPs in NEF3, which encodes the DRIP, neurofilament-medium (NF-M), were associated with early response (rs1457266, p=0.01; rs1379357, p=0.006). A 5 SNP haplotype spanning NEF3 was over-represented in early responders (p=0.015), in the combined patient group and in the TYP group alone. These findings suggest that variation in NEF3, most likely functional variants that are in linkage disequilibrium with the SNPs that we studied, influences rate of response to TYP. Since NEF3 is primarily associated with dopamine D1 receptor function, the evidence for a complementary role of dopamine D1 receptors in antipsychotic effects is considered. The findings reported here open an interesting research avenue in the pharmacogenetics of antipsychotic effects but require replication in larger samples treated in a controlled context.

Acute Disease↗
PubMed2006

Widespread ectopic expression of olfactory receptor genes.

BACKGROUND: Olfactory receptors (ORs) are the largest gene family in the human genome. Although they are expected to be expressed specifically in olfactory tissues, some ectopic expression has been reported, with special emphasis on sperm and testis. The present study systematically explores the expression patterns of OR genes in a large number of tissues and assesses the potential functional implication of such ectopic expression. RESULTS: We analyzed the expression of hundreds of human and mouse OR transcripts, via EST and microarray data, in several dozens of human and mouse tissues. Different tissues had specific, relatively small OR gene subsets which had particularly high expression levels. In testis, average expression was not particularly high, and very few highly expressed genes were found, none corresponding to ORs previously implicated in sperm chemotaxis. Higher expression levels were more common for genes with a non-OR genomic neighbor. Importantly, no correlation in expression levels was detected for human-mouse orthologous pairs. Also, no significant difference in expression levels was seen between intact and pseudogenized ORs, except for the pseudogenes of subfamily 7E which has undergone a human-specific expansion. CONCLUSION: The OR superfamily as a whole, show widespread, locus-dependent and heterogeneous expression, in agreement with a neutral or near neutral evolutionary model for transcription control. These results cannot reject the possibility that small OR subsets might play functional roles in different tissues, however considerable care should be exerted when offering a functional interpretation for ectopic OR expression based only on transcription information.

Animals↗
PubMed2006

Compositional complementarity and prebiotic ecology in the origin of life.

We hypothesize that life began not with the first self-reproducing molecule or metabolic network, but as a prebiotic ecology of co-evolving populations of macromolecular aggregates (composomes). Each composome species had a particular molecular composition resulting from molecular complementarity among environmentally available prebiotic compounds. Natural selection acted on composomal species that varied in properties and functions such as stability, catalysis, fission, fusion and selective accumulation of molecules from solution. Fission permitted molecular replication based on composition rather than linear structure, while fusion created composomal variability. Catalytic functions provided additional chemical novelty resulting eventually in autocatalytic and mutually catalytic networks within composomal species. Composomal autocatalysis and interdependence allowed the Darwinian co-evolution of content and control (metabolism). The existence of chemical interfaces within complex composomes created linear templates upon which self-reproducing molecules (such as RNA) could be synthesized, permitting the evolution of informational replication by molecular templating. Mathematical and experimental tests are proposed.

Biological Evolution↗
PubMed2005

Conservation anchors in the vertebrate genome.

Genomic segments that do not code for proteins yet show high conservation among vertebrates have recently been identified by various computational methodologies. We refer to them as ANCORs (ancestral non-coding conserved regions). The frequency of individual ANCORs within the genome, along with their (correlated) inter-species identity scores, helps in assessing the probability that they function in transcription regulation or RNA coding.

Animals↗
PubMed2005

Alternative splicing and gene duplication are inversely correlated evolutionary mechanisms.

Gene duplication and alternative splicing are distinct evolutionary mechanisms that provide the raw material for new biological functions. We explored their relationships in human and mouse and found an inverse correlation between the size of a gene's family and its use of alternatively spliced isoforms. A cross-organism analysis suggests that selection for genome-wide genic proliferation might be interchangeably met by either evolutionary mechanism.

Alternative Splicing↗
PubMed2005

Genotype phenotype correlations in Israeli colorectal cancer patients.

While genetic factors clearly play a key role in colorectal cancer (CRC) pathogenesis and in determining its phenotypic features, the precise genes that involved are largely unknown. To gain insight into these genes, consecutive Israeli CRC patients were genotyped using SNPs from within candidate genes: APC, beta-Catenin, K-RAS, DCC, P16, PTEN, RB1, P15, APOE, ERCC2, P53, MTHFR and hMSH2. Genotyping of consecutive, unselected colorectal cancer patients was done mostly by utilizing the MassARRAY technology (Sequenom) and to a lesser extent DGGE, ARMS and direct DNA sequencing. Correlation of genotypes with specific phenotypic features was carried out for all patients and separately for the Ashkenazim. Overall, 456 patients were analyzed, the majority (64.25%) being of Ashkenazi origin; mean age at diagnosis was 65.6 +/- 14 (range 25-90 years), and the mean follow-up was 4.7 +/- 0.28 (range 0-30 years). Statistically significant associations were noted between SNPs in beta-catenin and APOE and a positive family history of cancer (beta-catenin: p=0.034, APOE: p=0.033); tumor location and a DCC SNP (p=0.038) and the P53 R72P mutation and survival (p=0.0336). In Ashkenazi patients, ERCC2 and MTHFR genes' SNPs were associated with age at diagnosis (ERCC2: p=0.025, MTHFR: p=0.0005); a P53 polymorphism, APOE and Rb SNPs with a family history of cancer (P53 p=0.034;APOE p=0.04, Rb p= 0.022); DCC SNP with tumor location (p=0.014); and p15 SNP with tumor grade (p=0.032). This preliminary study shows that genetic factors play a role in determining CRC phenotypic features and that a larger cohort with longer follow-up is clearly needed.

Adult↗
PubMed2005

Assessing natural variations in gene expression in humans by comparing with monozygotic twins using microarrays.

Quantitative variation in gene expression in humans is the outcome of various factors, including differences in genetic background, gender, age, and environment. However, the extent of the influence of these factors on gene expression is not clear. We attempted to address this issue by carrying out gene expression profiling in blood leukocytes with 13 individuals (including 5 pairs of monozygotic twins) on 10,000 genes using HG-U95Av2 oligonucleotide microarrays. The proportion of differentially expressed genes between monozygotic twins was low (up to 1.76%). Most of the variations belonged to the least variable category. These genes, exhibiting "random variations," did not show clear preference to any functional class, although "signaling and communication" and "immune and related functions" generally topped the list. The extent of variation in gene expression increased in comparisons between unrelated individuals (up to 14.13%). Most of the genes (89%) exhibiting random variations in twins also varied in expression in unrelated individuals. As with twins, signaling and communication topped the list, and substantial variations were observed in all three categories: least variable, moderately variable, and most variable. An important outcome of this study was that the housekeeping genes were nearly insensitive to random variations but appeared to be more susceptible to genetic differences. However, the highly expressed housekeeping genes exhibited low variation and appeared to be insensitive to all known factors. Gene expression profiling in monozygotic twins can provide useful data for the assessment of natural variation in gene expression in humans.

Adult↗
PubMed2005

GeneTide--Terra Incognita Discovery Endeavor: a new transcriptome focused member of the GeneCards/GeneNote suite of databases.

GeneCards is an automatically mined database of human genes that strives to create, along with its auxiliary databases--GeneLoc, GeneNote and GeneAnnot--the most inclusive resource of gene-centered information of the human genome. GeneTide, the Gene Terra Incognita Discovery Endeavor (http://genecards.weizmann.ac.il/genetide/), the newest addition to this family, is a transcriptome-focused database which aims to enhance GeneCards with additional expressed sequence tag (EST)-based genes. This is achieved by comprehensively mapping >85% of the approximately 5.6 million human ESTs currently available at dbEST to known genes by means of data mining and integration of genomic resources including UniGene, DoTS, AceView and in-house resources. GeneTide thus creates comprehensive links between ESTs and GeneCards genes. Furthermore, groups of unassociated transcripts serve as a basis for defining novel EST-based GeneCards Candidates (EGCs). These EGCs, nearly 25,000 of which were defined in version 0.3 of GeneTide, are further annotated with various parameters, including splicing evidence and expression data extracted from the GeneNote database, to determine their validity as possible de novo genes.

Databases, Genetic↗
PubMed2005

Polymer GARD: computer simulation of covalent bond formation in reproducing molecular assemblies.

The basic Graded Autocatalysis Replication Domain (GARD) model consists of a repertoire of small molecules, typically amphiphiles, which join and leave a non-covalent micelle-like assembly. Its replication behavior is due to occasional fission, followed by a homeostatic growth process governed by the assembly's composition. Limitations of the basic GARD model are its small finite molecular repertoire and the lack of a clear path from a 'monomer world' towards polymer-based living entities. We have now devised an extension of the model (polymer GARD or P-GARD), where a monomer-based GARD serves as a 'scaffold' for oligomer formation, as a result of internal chemical rules. We tested this concept with computer simulations of a simple case of monovalent monomers, whereby more complex molecules (dimers) are formed internally, in a manner resembling biosynthetic metabolism. We have observed events of dimer 'take-over' - the formation of compositionally stable, replication-prone quasi stationary states (composomes) that have appreciable dimer content. The appearance of novel metabolism-like networks obeys a time-dependent power law, reminiscent of evolution under punctuated equilibrium. A simulation under constant population conditions shows the dynamics of takeover and extinction of different composomes, leading to the generation of different population distributions. The P-GARD model offers a scenario whereby biopolymer formation may be a result of rather than a prerequisite for early life-like processes.

Computer Simulation↗
PubMed2005

Modular genes with metazoan-specific domains have increased tissue specificity.

We have systematically examined the domain composition across a comprehensive set of tissue-specific, midrange and housekeeping genes as defined by their mode of expression in 52 normal mouse tissues. We show a definite correlation between the number of domains and the degree of tissue specificity. This trend is further supported by a novel analysis involving the time of origin of each domain. Genes containing metazoan-specific domains are more prevalent in signal transduction and cell-communication pathways, and are depleted in primary metabolism. Our analyses suggest that highly modular gene products have been recruited for tissue-specific functions that are required in complex organisms.

Animals↗
PubMed2004

The olfactory receptor universe--from whole genome analysis to structure and evolution.

Olfactory receptors (ORs) constitute the largest gene-family in the vertebrate genome. We have attempted to provide a comprehensive view of the OR universe through diverse tools of bioinformatics and computational biology. Among others, we have constructed the Human Olfactory Receptor Data Exploratorium (HORDE, http://bioportal.weizmann.ac.il/HORDE/) as a free online resource, which integrates information on ORs from different species. We studied the genomic organization of 853 human ORs and divided the repertoire into 135 clusters, accessible through our new cluster viewer feature. An analysis of intact and pseudogenized ORs in different clusters, as well as of OR expression patterns, is provided, relevant to OR transcription control. Coding single nucleotide polymorphisms were integrated; these are to be used for genotype-phenotype correlation studies. HORDE allows a unique opportunity for discerning protein structural and functional information of the individual OR proteins. By applying novel data analysis strategies to the >3000 OR genes of mouse, dog and human within HORDE, we have generated a set of refined rhodopsin-based homology models for ORs. For model improvement, we employed a novel analysis of specific positions along the seven transmembrane helices at which prolines generate helix-breaking kinks. The model shows family-specific structural features, including idiosyncratic kink patterns, which lead to significant differences in the inferred odorant binding site structure. Such analyses form a basis for a comprehensive sequence-based classification of OR proteins in terms of potential odorant binding specificities.

Amino Acid Sequence↗