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Isochores, GC3 and mutation biases in the human genome.

In this work we re-examined the hypothesis that the variation in GC content in the human genome is due to different regional mutational biases. For this purpose we inferred the mutational pattern by using mutation databases that are available for many genes associated with human genetic diseases. The assumption of this approach is that such mutations reflect the actual frequency distribution of mutations as they arise in the population. Four classes of genes, classified according to their GC(3) level, were included in this study: GC(3)-poor genes (GC(3)<45%), genes with intermediate GC(3) content (45% 75%). Our results show that most genes are under AT mutational biases, with very little variation compared to the expectations of neutral GC level. It is noteworthy that the mutational patterns in the GC(3)-rich genes do not appear to account for their GC(3)-richness. Instead, GC(3)-rich and very GC(3)-rich genes exhibit patterns of mutations that yield expectations of neutral GC(3) content that are much lower than their actual GC(3).

Base Composition↗

Pentamer vocabularies characterizing introns and intron-like intergenic tracts from Caenorhabditis elegans and Drosophila melanogaster.

Overall compositional properties at the level of bases, dinucleotides and longer oligos characterize genomes of different species. In Caenorhabditis elegans, using recurrence analysis, we recognized the existence of a long-range correlation in the oligonucleotide usage of introns and intergenic regions. Through correlation analysis, this is confirmed here to be a genome-wide property of C. elegans non-coding portions. We then investigate the possibility of extracting a typical vocabulary through statistical analysis of experimentally confirmed introns of sufficient length (>1 kb), deprived of known splice signals, the focus being on distributed lexical features rather than on localized motifs. Lexical preferences typical of introns could be exposed using principal component analysis of pentanucleotide frequency distributions, both in C. elegans and in Drosophila melanogaster. In either species, the introns' pentamer preferences are largely shared by intergenic tracts. The pentamer vocabularies extracted for the two species exhibit interesting symmetry properties and overlap in part. A more extensive investigation of the interspecies relationship at the level of oligonucleotide preferences in non-coding regions, not related by sequence similarity, might form the basis of new approaches for the study of the evolutionary behaviour of these regions.

Animals↗

Identification of 9 novel transcripts and two RGSL genes within the hereditary prostate cancer region (HPC1) at 1q25.

We applied a systematic bioinformatics approach, followed by careful manual inspection and experimental validation to identify additional expressed sequences located at the Hereditary Prostate Cancer Region (HPC1) between D1S2818 and D1S1642 on chromosome 1q25. All transcripts already described for the 1q25 region were identified and we were able to define 11 additional expressed sequences within this region (three full-length cDNA clone sequences and eight ESTs), increasing the total number of gene count in this region by 38%. Five out of the 11 expressed sequences identified were shown to be expressed in prostate tissue and thus represent novel disease gene candidates for the HPC1 region. Here, we report a detailed characterization of these five novel disease gene candidates, their expression pattern in various tissues, their genomic organization and functional annotation. Two candidates (RGSL1 and RGSL2) correspond to novel members of the RGS family, which is involved in the regulation of G-protein signaling. RGSL1 and RGLS2 expression was detected by real-time polymerase chain reaction in normal prostate tissue, but could not be detected in prostate tumor cell lines, suggesting they might have a role in prostate cancer.

Chromosome Mapping↗

Juxtacentromeric region of human chromosome 21: a boundary between centromeric heterochromatin and euchromatic chromosome arms.

We have analysed the genomic structure and transcriptional activity of a 2.3-Mb genomic sequence in the juxtacentromeric region of human chromosome 21. Our work shows that this region comprises two different chromosome domains. The 1.5-Mb proximal domain: (i) is a patchwork of chromosome duplications; (ii) shares sequence similarity with several chromosomes; (iii) contains several gene fragments (truncated genes having an intron/exon structure) intermingled with retrotransposed pseudogenes; and (iv) harbours two genes (TPTE and BAGE2) that belong to gene families and have a cancer and/or testis expression profile. The TPTE gene family was generated before the branching of Old World monkeys from the great ape lineage, by intra- and interchromosome duplications of the ancestral TPTE gene mapping to phylogenetic chromosome XIII. By contrast, the 0.8-Mb distal domain: (i) is devoid of chromosome duplications; (ii) has a chromosome 21-specific sequence; (iii) contains no gene fragments and only one retrotransposed pseudogene; and (iv) harbours six genes including housekeeping genes. G-rich sequences commonly associated with duplication termini cluster at the boundary between the two chromosome domains. These structural and transcriptional features lead us to suggest that the proximal domain has heterochromatic properties, whereas the distal domain has euchromatic properties.

ATP-Binding Cassette Transporters↗

Turnover of binding sites for transcription factors involved in early Drosophila development.

Despite the importance of cis-regulatory regions in evolution, little is know about their evolutionary dynamics. In this report, we analyze the process of evolution of binding sites for transcription factors using as a model a well characterized system, the Drosophila early developmental enhancers. We compare the sequences of eight enhancer regions for early developmental genes between Drosophila melanogaster and other two species, Drosophila virilis and Drosophila pseudoobscura, searching for the presence/absence of 104 biochemically verified binding sites from D. melanogaster. We also modeled the binding specificity of each binding site by the use of well-defined positional weight matrices (PWMs). The comparisons showed that turnover of binding sites seems to fit a molecular clock, at an approximate rate of 0.94% of gain/loss of binding sites per million years. This intense turnover affects both high and low affinity binding sites at the same extent. Furthermore, the subset of overlapping binding sites is also subjected to this high turnover. Conserved binding sites seem to be constrained to maintain not only location but also the exact sequence at each particular position. Finally, we detected a significant decrease in mean PWM scores for the D. virilis binding sites in the case of Hunchback. Possible explanations for this fact are discussed.

Animals↗

In polymorphic genomic regions indels cluster with nucleotide polymorphism: Quantum Genomics.

Previously, we have described polymorphic frozen blocks (PFBs) within the Major Histocompatibility Complex (MHC) as regions of several hundred kilobases characterised by high nucleotide diversity, little or no recombination, duplicated segments, disease susceptibility, and human endogenous retroviruses. The nucleotide diversity profile within these PFBs shows peaks and troughs outside of the Class I genes, reflecting other important genes (or sequences) in the region. Here we show that indel density is also clustered with similar peaks and troughs. In fact, SNPs and indels are co-located within PFBs.

Databases, Nucleic Acid↗

Low hanging fruit: a subset of human cSNPs is both highly non-uniform and predictable.

We present a point mutation classification method that contrasts SNP databases and has the potential to illuminate the relative mutational load of genes caused by codon bias. We group point variation gleaned from public databases by their wild-type and mutant codons, e.g. codon mutation classes (CMCs, 576 possible such as ACG-->ATG), whose frequencies in a database are assembled into a BLOSUM-style matrix describing the likelihood of observing all possible single base codon changes as tuned by the intertwined effects of mutation rate and selection. The rankings of the CMCs in any database are reshuffled according to the population stratification of the typical genotyping experiment producing that resource's data. Analysis of four independent databases reveals that a considerable fraction of mutation in functional genes can be described by a few CMCs regardless of gene identity or population stratification in the genotyping experiment. For example, the top 5% (29/576) of CMCs account for 27.4% of the observed variants in dbSNP while the bottom 5% account for only 0.02%. For non-synonymous disease-causing mutation, 40.8% are described by the top 5% of all possible non-silent CMCs (22/438). Overall, the most observed polymorphism is a G-->A transition at CpG dinucleotides causing ACG, TCG, GCG, and CCG to frequently undergo silent mutation in any gene due to the putative lack of impact on the protein product. In order to assess how well CMC spectrums estimate the aggregate non-synonymous mutational trends of a single gene, a CMC matrix was applied to seven unrelated genes to compute the most likely point mutations. In excess of 87% of these mutation predictions are historically known to play an important role in a disease state according to published literature. CMC-based mutation prediction may aid design and execution of direct association genotyping studies.

Base Sequence↗

Investigating single nucleotide polymorphism (SNP) density in the human genome and its implications for molecular evolution.

We investigated the single nucleotide polymorphism (SNP) density across the human genome and in different genic categories using two SNP databases: Celera's CgsSNP, which includes SNPs identified by comparing genomic sequences, and Celera's RefSNP, which includes SNPs from a variety of sources and is biased toward disease-associated genes. Based on CgsSNP, the average numbers of SNPs per 10 kb was 8.33, 8.44, and 8.09 in the human genome, in intergenic regions, and in genic regions, respectively. In genic regions, the SNP density in intronic, exonic and adjoining untranslated regions was 8.21, 5.28, and 7.51 SNPs per 10 kb, respectively. The pattern of SNP density based on RefSNP was different from that based on CgsSNP, emphasizing its utility for genotype-phenotype association studies but not for most population genetic studies. The number of SNPs per chromosome was correlated with chromosome length, but the density of SNPs estimated by CgsSNP was not significantly correlated with the GC content of the chromosome. Based on CgsSNP, the ratio of nonsense to missense mutations (0.027), the ratio of missense to silent mutations (1.15), and the ratio of non-synonymous to synonymous mutations (1.18) was less than half of that expected in a human protein coding sequence under the neutral mutation theory, reflecting a role for natural selection, especially purifying selection.

DNA, Intergenic↗

Barnacle: an assembly algorithm for clone-based sequences of whole genomes.

We propose an assembly algorithm Barnacle for sequences generated by the clone-based approach. We illustrate our approach by assembling the human genome. Our novel method abandons the original physical-mapping-first framework. As we show, Barnacle more effectively resolves conflicts due to repeated sequences which is the main difficulty of the sequence assembly problem. In addition, we are able to detect inconsistencies in the underlying data. We present and compare our results on the December 2001 freeze of the public working draft of the human genome with NCBI's assembly (Build 28). The assembly of December 2001 freeze of the public working draft generated by Barnacle and the source code of Barnacle are available at (http://www.cs.rutgers.edu/~vchoi).

Algorithms↗

Expression of LSLCL, a new C-type lectin, is closely restricted, in bone marrow, to immature neutrophils.

In vitro, LSLCL is expressed by numerous myeloid, promyelocytic, and T or B lymphoblastoid cell lines. In vivo, LSLCL is strongly expressed in bone marrow and only faintly in lymphoid organs. We show here that, in bone marrow, LSLCL is detected: (i) concentrated in the cytoplasm of immature neutrophils but not in myeloblasts nor in mature neutrophils, (ii) in extracellular bone marrow fluid. Besides, numerous cDNAs, similar to LSLCL (identity of 93-99%), are found in 'expressed sequence tags' databases from various origins, mostly fetal and undifferentiated tumour tissues. Since LSLCL and various closely related cDNAs are expressed at definite stages of cellular maturation processes, we hypothesize that this class of proteins could play an important role in the control of cellular differentiation.

Animals↗

Global functional profiling of gene expression.

The typical result of a microarray experiment is a list of tens or hundreds of genes found to be differentially regulated in the condition under study. Independent of the methods used to select these genes, the common task faced by any researcher is to translate these lists of genes into a better understanding of the biological phenomena involved. Currently, this is done through a tedious combination of searches through the literature and a number of public databases. We developed Onto-Express (OE) as a novel tool able to automatically translate such lists of differentially regulated genes into functional profiles characterizing the impact of the condition studied. OE constructs functional profiles (using Gene Ontology terms) for the following categories: biochemical function, biological process, cellular role, cellular component, molecular function, and chromosome location. Statistical significance values are calculated for each category. We demonstrate the validity and the utility of this comprehensive global analysis of gene function by analyzing two breast cancer datasets from two separate laboratories. OE was able to identify correctly all biological processes postulated by the original authors, as well as discover novel relevant mechanisms.

Breast Neoplasms↗

Chromosomal distribution of the human cardiovascular transcriptome.

On the basis of previous observations in chromosomes 21 and 22, we hypothesize that there is a tissue-specific organization of cardiovascular gene transcripts in the human genome. To examine the distribution of heart-derived transcripts, we assigned a nonredundant set of 4628 fetal and 3574 adult known and uncharacterized cardiovascular expressed-sequence tags (cvESTs) to 5-Mb chromosomal 'windows' on the basis of publicly available sequence mapping data. On a whole-genome level (36,617 genes), chromosome 17 (19.2% in fetal, 16.5% in adult) contained the highest proportion of cvESTs, whereas chromosome Y (2.0% in fetal and adult) contained the lowest. In total, 50 of the 639 windows contained a significantly higher proportion of cvESTs (P < 0.003) compared with the genome-wide cvEST gene density, particularly on gene-dense chromosomes (that is, 17, 19, 22) as opposed to gene-rich chromosomes (for example, 1, 2, 11). This report provides insight into a possible role for complex tissue-specific gene regulation in the human genome.

Cardiovascular System↗

Interspersed repeats are found predominantly in the "old" alpha satellite families.

The biased distribution of dispersed repeat insertions in various types of primate specific alpha satellites (AS) is being discussed in the literature in relation to the modes of AS evolution and their possible roles in maintenance and disruption of functional centromeres. However, such a bias has not been properly documented on a genome-wide scale so far. In this work, using a representative sample of about 100 insertions we show that the "old" AS contains at least 10 times more dispersed repeats than the "new" one. In the new arrays insertions accumulate mostly in poorly homogenized areas, presumably in the edges, and in the old AS, throughout the whole array length. Dating of L1 insertions in the old AS revealed that their massive accumulation started at or after the time when the new AS emerged and expanded in the genome and the centromere function had shifted to the new AS arrays.

Animals↗

Database and analyses of known alternatively spliced genes in plants.

Alternative splicing is an important cellular mechanism that increases the diversity of gene products. The number of alternatively spliced genes reported so far in plants is much smaller than that in mammals, but is increasing as a result of the explosive growth of available EST and genomic sequences. We have searched for all alternatively spliced genes reported in GenBank and PubMed in all plant species under Viridiplantae. After careful merging and manual review of the search results, we obtained a comprehensive, high-quality collection of 168 genes reported to be alternatively spliced in plants, spanning 44 plant species (March 22, 2003 update). We developed a relational database with Web-based user interface to store and present the data, named the Plant Alternative Splicing Database (PASDB), freely available at http://pasdb.genomics.org.cn. We analyzed the functional categories that these genes belong to using the Gene Ontology. We also analyzed in detail the biological roles and gene structures of the four genes that are known to be alternatively spliced in more than one plant species. Finally, we studied the structural features of the splice sites in the alternatively spliced genes.

Alternative Splicing↗

Molecular sub-grouping of enterovirus reference and wild type strains into distinct genetic clusters using a simple RFLP assay.

RFLP analysis and sequencing of RT-PCR amplicons in previous studies revealed the existence of intra-serotypic variability in the 5'-UTR of human enteroviruses, complicating the use of this method to serotype isolates. During the present study, the available sequences of many enterovirus reference and wild type strains were analysed in an attempt to discover restriction sites that would rapidly and reliably aid the classification of human enteroviruses into specific sub-groups on the basis of their 5'-UTR for diagnostic and/or epidemiological purposes. Despite intratypic genetic variability in the 5'-UTR, the results of the sequence analysis, as well as data from the RFLP analysis of 61 enterovirus reference strains from 60 different serotypes and 123 clinical isolates showed that one restriction endonuclease, HpaII, may contribute to a reliable sub-classification of CAVs and the rest of enteroviruses, on the basis of 5'-UTR, into five genetic groups, which could be particularly useful in clinical and epidemiological studies. Although more sequence data from enterovirus reference and wild type strains may be required for the elaboration of a precise molecular identification system, the more possible genotypic classification into distinct clusters, as shown with the restriction enzyme HpaII, and the determination of the biological significance of this grouping (pathogenesis, epidemiology) might constitute an alternative means of enterovirus identification against conventional classification into distinct serotypes.

5' Untranslated Regions↗

Development of mitochondrial SSU rDNA-based oligonucleotide probes for specific detection of common airborne fungi.

In this study we sequenced partial mitochondrial small subunit rDNA from 32 fungal strains representing 31 species from 16 genera. Most of these species are common airborne fungi and pathogens that may cause various public health concerns. Sequence alignment showed several conserved and highly variable regions. The variable regions were deployed to design oligonucleotide probes for each fungal species. The specificity of the designed probes was first examined through homology search against GenBank database then further verified through hybridization experiments to 38 fungal strains. A total of 23 probes were verified as specific to 15 fungal species commonly detected in living and working environments. These new probes will have potential applications in clinical diagnosis and public health-related environmental monitoring.

Animals↗

Thermodynamics of base pairing.

The study of the thermodynamics of base pairing is a rapidly expanding field due to its importance for taking advantage of opportunities presented by the growing database of nucleic acid sequences. Both natural and unnatural nucleic acids are being studied. The determination of nearest-neighbor parameters from optical melting data for RNA-DNA and DNA-DNA duplexes with Watson-Crick base pairs is particularly noteworthy. The foundations are also being laid for a theoretical understanding of these thermodynamics.

Base Composition↗

Discovery of the human genome sequence in the public and private databases.

Genomes: Much heat has been generated in discussions about the key human genome sequence databases, generated by the Human Genome Project and Celera, and what specific features each offers genome researchers. Stephen W. Scherer and Joseph Cheung, who are intense users of both, offer a personal assessment of the developing contents.

Animals↗