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A general diagram of the whole structure of the human genome is drafted on a logarithmic metric scale located in the radius of a circle showing a full haploid set of chromosomes. A base pair scale of DNA is displayed in circumferences at different orders of magnitude from one metre down to one picometre (10(-12) m).
Balanced translocations with breakpoints in a critical region of the X chromosome, Xq13-->q26, are associated with premature ovarian failure (POF). Translocations may cause POF either by affecting expression of specific X-linked genes essential for maintenance of normal ovarian function or by a chromosomal effect such as inhibition of meiotic pairing or altered X inactivation. We previously mapped seven Xq translocation breakpoints associated with POF to approximately 75-kb intervals. One translocation disrupted an aminopeptidase gene, XPNPEP2. We have now refined the map location of the remaining six breakpoints with respect to known genes and transcription units predicted from the draft human genome sequence. Only one of the six breakpoints disrupts a gene, DACH2, the human ortholog of a mouse gene expressed in embryonic nervous tissue, sensory organs, and limbs. DACH2 has no obvious relationship to ovarian function. The other five breakpoints fall in apparently intragenic regions. Our results are most consistent with models for POF associated with X;autosome translocations that involve generalized chromosome effects.
BACKGROUND: Phosphorylation by protein kinases is central to cellular signal transduction. Abnormal functioning of kinases has been implicated in developmental disorders and malignancies. Their activity is regulated by second messengers and by the binding of associated domains, which are also influential in translocating the catalytic component to their substrate sites, in mediating interaction with other proteins and carrying out their biological roles. RESULT: Using sensitive profile-search methods and manual analysis, the human genome has been surveyed for protein kinases. A set of 448 sequences, which show significant similarity to protein kinases and contain the critical residues essential for kinase function, have been selected for an analysis of domain combinations after classifying the kinase domains into subfamilies. The unusual domain combinations in particular kinases suggest their involvement in ubiquitination pathways and alternative modes of regulation for mitogen-activated protein kinase kinases (MAPKKs) and cyclin-dependent kinase (CDK)-like kinases. Previously unexplored kinases have been implicated in osteoblast differentiation and embryonic development on the basis of homology with kinases of known functions from other organisms. Kinases potentially unique to vertebrates are involved in highly evolved processes such as apoptosis, protein translation and tyrosine kinase signaling. In addition to coevolution with the kinase domain, duplication and recruitment of non-catalytic domains is apparent in signaling domains such as the PH, DAG-PE, SH2 and SH3 domains. CONCLUSIONS: Expansion of the functional repertoire and possible existence of alternative modes of regulation of certain kinases is suggested by their uncommon domain combinations. Experimental verification of the predicted implications of these kinases could enhance our understanding of their biological roles.
BACKGROUND: Relatively little is known about the genetic basis for the unique physiology of metal-reducing genera in the delta subgroup of the proteobacteria. The recent availability of complete finished or draft-quality genome sequences for seven representatives allowed us to investigate the genetic and regulatory factors in a number of key pathways involved in the biosynthesis of building blocks and cofactors, metal-ion homeostasis, stress response, and energy metabolism using a combination of regulatory sequence detection and analysis of genomic context. RESULTS: In the genomes of delta-proteobacteria, we identified candidate binding sites for four regulators of known specificity (BirA, CooA, HrcA, sigma-32), four types of metabolite-binding riboswitches (RFN-, THI-, B12-elements and S-box), and new binding sites for the FUR, ModE, NikR, PerR, and ZUR transcription factors, as well as for the previously uncharacterized factors HcpR and LysX. After reconstruction of the corresponding metabolic pathways and regulatory interactions, we identified possible functions for a large number of previously uncharacterized genes covering a wide range of cellular functions. CONCLUSIONS: Phylogenetically diverse delta-proteobacteria appear to have homologous regulatory components. This study for the first time demonstrates the adaptability of the comparative genomic approach to de novo reconstruction of a regulatory network in a poorly studied taxonomic group of bacteria. Recent efforts in large-scale functional genomic characterization of Desulfovibrio species will provide a unique opportunity to test and expand our predictions.
With a draft genome-sequence assembly for the chimpanzee available, it is now possible to perform genome-wide analyses to identify, at a submicroscopic level, structural rearrangements that have occurred between chimpanzees and humans. The goal of this study was to investigate chromosomal regions that are inverted between the chimpanzee and human genomes. Using the net alignments for the builds of the human and chimpanzee genome assemblies, we identified a total of 1,576 putative regions of inverted orientation, covering more than 154 mega-bases of DNA. The DNA segments are distributed throughout the genome and range from 23 base pairs to 62 mega-bases in length. For the 66 inversions more than 25 kilobases (kb) in length, 75% were flanked on one or both sides by (often unrelated) segmental duplications. Using PCR and fluorescence in situ hybridization we experimentally validated 23 of 27 (85%) semi-randomly chosen regions; the largest novel inversion confirmed was 4.3 mega-bases at human Chromosome 7p14. Gorilla was used as an out-group to assign ancestral status to the variants. All experimentally validated inversion regions were then assayed against a panel of human samples and three of the 23 (13%) regions were found to be polymorphic in the human genome. These polymorphic inversions include 730 kb (at 7p22), 13 kb (at 7q11), and 1 kb (at 16q24) fragments with a 5%, 30%, and 48% minor allele frequency, respectively. Our results suggest that inversions are an important source of variation in primate genome evolution. The finding of at least three novel inversion polymorphisms in humans indicates this type of structural variation may be a more common feature of our genome than previously realized.
BACKGROUND: Tick-borne Jingmenviruses are becoming an increasing arbovirus concern due to the rising number of reported infections in humans and animals, as well as their wide geographic distribution. The involvement of other hematophagous arthropods as vectors of Jingmenviruses is still unknown. METHODS: Mosquitoes were sampled in two different biotopes in Cameroon (Yaoundé and Garoua) during the rainy and the dry seasons in 2022 and 2023. Metatranscriptomics Next Generation Sequencing was conducted using Illumina technology. Viral sequences detection revealed the presence of several contigs with high sequence identity to a human-derived Jingmenvirus (HdJV) previously discovered in plasma from an individual from Yaoundé, Cameroon. A draft viral genome was constituted for each Jingmenvirus-positive samples. Maximum likelihood phylogenetic reconstructions were used to position mosquito-associated viruses within the diversity of Jingmenviruses. Statistical analyses were conducted to estimate the prevalence of infected mosquitoes and the effect of different variables (region, season, year, mosquito species) on Jingmenvirus detection. RESULTS: HdJV was identified during the dry and the rainy seasons in 4 species of mosquitoes: Aedes albopictus, Culex quinquefasciatus and Culex wansoni from Yaoundé, and Anopheles gambiae s.l. from Garoua. The overall prevalence of HdJV-infected mosquitoes was estimated to 0.90% [0.41-1.69]; and the unique variable significantly associated with HdJV detection was the sampling area: Yaoundé showed the highest prevalence (2.29% [0.95-4.68]) compared to Garoua (0.18% [0.01-0.79]). Mosquito-associated Jingmenviruses shared a high nucleotide identity (between 98.64-100% according to the segment) and clustered in the same clade in the phylogenetic analysis, that they belong to the same viral species circulating in different mosquito species. The viral genome shared between 96.4% and 98.9% nucleotide identity with a HdJV detected in the plasma of a patient suffering from febrile illness originating from the same area, suggesting the possible involvement of mosquitoes as vectors of arboviral Jingmenviruses in human infections. CONCLUSIONS: This finding provides new insights into the ecology and transmission dynamics of Jingmenviruses, highlighting mosquitoes as potential vectors, alongside ticks, in the zoonotic transmission of this virus group.
The first draft human genome sequence now available allowed the identification of an enormous number of gene coding areas of the genomic DNA. However, a great number of regulatory elements such as enhancers, promoters, transcription terminators, or replication origins can not be identified unequivocally by their nucleotide sequences in complex eukaryotic genomes. One important subclass of these type of sequences is scaffold/matrix attachment regions (S/MARs) that were hypothesized to anchor chromatin loops or domains to the nuclear matrix and/or chromosome scaffold. We developed an experimental selection procedure to identify S/MARs within a completely sequenced one megabase (1 Mb) long gene-rich D19S208-COX7A1 locus of human chromosome 19. A library of S/MAR elements from the locus was prepared and shown to contain -20 independent S/MARs. Sixteen of them were isolated, sequenced, and assigned to certain positions within the locus. A majority of the S/MARs identified (11 out of 16) lie in intergenic regions, suggesting their structural role, i.e., delimitation of chromatin domains. These 11 S/MARs subdivide the locus into 10 domains ranging from 6 to 272 kb with an average domain size of 88 kb. The remaining five S/MARs were found within intronic sequences of APLP1, HSPOX1, MAG, and NPHS1 genes, and can be tentatively characterized as regulatory S/MARs. The correspondence of the chromatin domains defined by the S/MARs to functional characteristics of the genes therein is discussed. The approach described can be a prototype of a similar search of long sequenced genomic stretches and/or whole chromosomes for various regulatory elements.
Application of SEREX (serological analysis of recombinant tumor cDNA expression libraries) to different tumor types has led to the identification of several categories of human tumor antigens. In this study, the analysis of a breast cancer library with autologous patient serum led to the isolation of seven genes, designated NY-BR-1 through NY-BR-7. NY-BR-1, representing 6 of 14 clones isolated, showed tissue-restricted mRNA expression in breast and testis but not in 13 other normal tissues tested. Among tumor specimens, NY-BR-1 mRNA expression was found in 21 of 25 breast cancers but in only 2 of 82 nonmammary tumors. Structural analysis of NY-BR-1 cDNA and the corresponding genomic sequences in the recently released working draft of human genome indicated that NY-BR-1 is composed of 37 exons and has an open reading frame of 4.0-4.2 kb, encoding a peptide of Mr 150,000-160,000. A bipartite nuclear localization signal motif indicates a nuclear site for NY-BR-1, and the presence of a bZIP site (DNA-binding site followed by leucine zipper motif) suggests that NY-BR-1 is a transcription factor. Additional structural features include five tandem ankyrin repeats, implying a role for NY-BR-1 in protein-protein interactions. NY-BR-1 thus represents a breast tissue-specific putative transcription factor with autoimmunogenicity in breast cancer patients. In addition to NY-BR-1, a homologous gene, NY-BR-1.1, was identified in this study. NY-BR-1.1 shares 54% amino acid homology with NY-BR-1 and also shows tissue-restricted mRNA expression. However, unlike NY-BR-1, NY-BR-1.1 mRNA is expressed in brain, in addition to breast and testis. The exon structure of NY-BR-1.1 remains to be defined. Using human genome database, NY-BR-1 was localized to chromosome 10p11-p12, and NY-BR-1.1 was tentatively localized to chromosome 9.
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The recent completion of a working draft of the human genome sequence promises to provide unprecedented opportunities to explore the genetic basis of individual differences in complex behaviours and vulnerability to neuropsychiatric illness. Functional neuroimaging, because of its unique ability to assay information processing at the level of brain within individuals, provides a powerful approach to such functional genomics. Recent fMRI studies have established important physiological links between functional genetic polymorphisms and robust differences in information processing within distinct brain regions and circuits that have been linked to the manifestation of various disease states such as Alzheimer's disease, schizophrenia and anxiety disorders. Importantly, all of these biological relationships have been revealed in relatively small samples of healthy volunteers and in the absence of observable differences at the level of behaviour, underscoring the power of a direct assay of brain physiology like fMRI in exploring the functional impact of genetic variation.
With the human genome in a first sequence draft and several other genomes being finished this year, the existing information gap between genomics and proteomics is becoming increasingly evident. The analysis of the proteome is, however, much more complicated because the synthesis and structural requirements of functional proteins are different from the easily handled oligonucleotides, for which a first analytical breakthrough already has come in the use of DNA chips. In comparison with the DNA microarrays, the protein arrays, or protein chips, offer the distinct possibility of developing a rapid global analysis of the entire proteome. Thus, the concept of comparing proteomic maps of healthy and diseased cells may allow us to understand cell signaling and metabolic pathways and will form a novel base for pharmaceutical companies to develop future therapeutics much more rapidly. This report demonstrates the possibilities of designing protein chips based on specially constructed, small recombinant antibody fragments using nano-structure surfaces with biocompatible characteristics, resulting in sensitive detection in the 600-amol range. The assay readout allows the determination of single or multiple antigen-antibody interactions. Mass identity of the antigens, currently with a resolution of 8000, enables the detection of structural modifications of single proteins.
The year 2000 is marked by the production of the sequence of the human genome. A 'working draft' of high quality sequence covering 90% of the genome has been determined and a quarter is in finished form, including the first two completed chromosomes. All sequence data from the project is made freely available to the community via the Internet, for further analysis and exploitation. The challenge which lies ahead is to decipher the information. Knowledge of the human genome sequence will enable us to understand how the genetic information determines the development, structure and function of the human body. We will be able to explore how variations within our DNA sequence cause disease, how they affect our interaction with our environment and ultimately to develop new and effective ways to improve human health.
Two recent papers using different approaches reported draft sequences of the human genome. The international Human Genome Project (HGP) used the hierarchical shotgun approach, whereas Celera Genomics adopted the whole-genome shotgun (WGS) approach. Here, we analyze whether the latter paper provides a meaningful test of the WGS approach on a mammalian genome. In the Celera paper, the authors did not analyze their own WGS data. Instead, they decomposed the HGP's assembled sequence into a "perfect tiling path", combined it with their WGS data, and assembled the merged data set. To study the implications of this approach, we perform computational analysis and find that a perfect tiling path with 2-fold coverage is sufficient to recover virtually the entirety of a genome assembly. We also examine the manner in which the assembly was anchored to the human genome and conclude that the process primarily depended on the HGP's sequence-tagged site maps, BAC maps, and clone-based sequences. Our analysis indicates that the Celera paper provides neither a meaningful test of the WGS approach nor an independent sequence of the human genome. Our analysis does not imply that a WGS approach could not be successfully applied to assemble a draft sequence of a large mammalian genome, but merely that the Celera paper does not provide such evidence.
With the first draft of the human genome completed, Michael Gross looks at some of the plans to study a variety of European populations to exploit the new information.
Having a working draft of the human genome sequence is proving invaluable to mouse genetic and genomic studies, providing a useful stepping-stone towards the finished sequence of the mouse genome.
The completed draft of the human genome sequence has facilitated a revolution in neuroscience research. This sequence information and the development of new technologies used to analyze gene expression on a genomic scale provides a new and powerful means to investigate brain disorders of unknown etiology and to isolate novel drug targets for these disorders. The term functional genomics broadly describes a set of technologies and strategies directed at the problem of determining the function of genes, and understanding how the genome works together to generate whole patterns of biological function. The most powerful of these functional genomics approaches, expression profiling or DNA microarrays, can be used to analyze the expression of thousands of genes simultaneously. The results to date from the application of DNA microarray methods to postmortem diseased human brain tissue, animal models and cell culture models of brain disorders provide an exciting glimpse into the future of this field.
Recent publication of the working draft of the human genome and its first analyses revealed several surprising findings. The human genome contains only about 42,000 genes, contrary to previous estimates of about 100,000. Comparison with other genomes suggests that the complexity of an organism need not result from increasing gene number, but it can be based on regulatory mechanisms associated with alternative gene expression and on complex interactions of genes and/or their protein products. The progress in genomics and related modern disciplines is influencing substantially the biomedical research and the medicine itself, where the main focus shifts towards multifactorial diseases. The new knowledge will lead to much more effective diagnosis, exact prognosis of the disease course and of individual drug response, to the targeted therapy using new drugs and gene therapy, and mainly towards targeted prevention based on the detailed knowledge of individual disease predisposition.
Recently the initial draft sequence of the chicken genome was released. The reasons for sequencing the chicken were to boost research and applications in agriculture and medicine, through its use as a model of vertebrate development. In addition, the sequence of the chicken would provide an important anchor species in the phylogenetic study of genome evolution. The chicken genome project has its roots in a decade of map building by genetic and physical mapping methods. Chicken genetic markers for map building have generally depended on labour intensive screening procedures. In recent years this has all changed with the availability of over 450,000 EST sequences, a draft sequence of the entire chicken genome and a map of over 1 million SNPs. Clearly, the future for the chicken genome and developmental biology is an exciting one. Through the integration of these resources, it will be possible to solve challenging scientific questions exploiting the power of a chicken model. In this paper we review progress in chicken genomics and discuss how the new tools and information on the chicken genome can help the developmental biologists now and in the future.