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Knowledge-assisted recognition of cluster boundaries in gene expression data.

BACKGROUND AND MOTIVATION: DNA microarray technology has made it possible to determine the expression levels of thousands of genes in parallel under multiple experimental conditions. Genome-wide analyses using DNA microarrays make a great contribution to the exploration of the dynamic state of genetic networks, and further lead to the development of new disease diagnosis technologies. An important step in the analysis of gene expression data is to classify genes with similar expression patterns into the same groups. To this end, hierarchical clustering algorithms have been widely used. Major advantages of hierarchical clustering algorithms are that investigators do not need to specify the number of clusters in advance and results are presented visually in the form of a dendrogram. However, since traditional hierarchical clustering methods simply provide results on the statistical characteristics of expression data, biological interpretations of the resulting clusters are not easy, and it requires laborious tasks to unveil hidden biological processes regulated by members in the clusters. Therefore, it has been a very difficult routine for experts. OBJECTIVE: Here, we propose a novel algorithm in which cluster boundaries are determined by referring to functional annotations stored in genome databases. MATERIALS AND METHODS: The algorithm first performs hierarchical clustering of gene expression profiles. Then, the cluster boundaries are determined by the Variance Inflation Factor among the Gene Function Vectors, which represents distributions of gene functions in each cluster. Our algorithm automatically specifies a cutoff that leads to functionally independent agglomerations of genes on the dendrogram derived from similarities among gene expression patterns. Finally, each cluster is annotated according to dominant gene functions within the respective cluster. RESULTS AND CONCLUSIONS: In this paper, we apply our algorithm to two gene expression datasets related to cell cycle and cold stress response in budding yeast Saccharomyces cerevisiae. As a result, we show that the algorithm enables us to recognize cluster boundaries characterizing fundamental biological processes such as the Early G1, Late G1, S, G2 and M phases in cell cycles, and also provides novel annotation information that has not been obtained by traditional hierarchical clustering methods. In addition, using formal cluster validity indices, high validity of our algorithm is verified by the comparison through other popular clustering algorithms, K-means, self-organizing map and AutoClass.

Algorithms↗

Laterally transferred elements and high pressure adaptation in Photobacterium profundum strains.

BACKGROUND: Oceans cover approximately 70% of the Earth's surface with an average depth of 3800 m and a pressure of 38 MPa, thus a large part of the biosphere is occupied by high pressure environments. Piezophilic (pressure-loving) organisms are adapted to deep-sea life and grow optimally at pressures higher than 0.1 MPa. To better understand high pressure adaptation from a genomic point of view three different Photobacterium profundum strains were compared. Using the sequenced piezophile P. profundum strain SS9 as a reference, microarray technology was used to identify the genomic regions missing in two other strains: a pressure adapted strain (named DSJ4) and a pressure-sensitive strain (named 3TCK). Finally, the transcriptome of SS9 grown under different pressure (28 MPa; 45 MPa) and temperature (4 degrees C; 16 degrees C) conditions was analyzed taking into consideration the differentially expressed genes belonging to the flexible gene pool. RESULTS: These studies indicated the presence of a large flexible gene pool in SS9 characterized by various horizontally acquired elements. This was verified by extensive analysis of GC content, codon usage and genomic signature of the SS9 genome. 171 open reading frames (ORFs) were found to be specifically absent or highly divergent in the piezosensitive strain, but present in the two piezophilic strains. Among these genes, six were found to also be up-regulated by high pressure. CONCLUSION: These data provide information on horizontal gene flow in the deep sea, provide additional details of P. profundum genome expression patterns and suggest genes which could perform critical functions for abyssal survival, including perhaps high pressure growth.

Atmospheric Pressure↗

Identifying genomic regions for fine-mapping using genome scan meta-analysis (GSMA) to identify the minimum regions of maximum significance (MRMS) across populations.

In order to detect linkage of the simulated complex disease Kofendrerd Personality Disorder across studies from multiple populations, we performed a genome scan meta-analysis (GSMA). Using the 7-cM microsatellite map, nonparametric multipoint linkage analyses were performed separately on each of the four simulated populations independently to determine p-values. The genome of each population was divided into 20-cM bin regions, and each bin was rank-ordered based on the most significant linkage p-value for that population in that region. The bin ranks were then averaged across all four studies to determine the most significant 20-cM regions over all studies. Statistical significance of the averaged bin ranks was determined from a normal distribution of randomly assigned rank averages. To narrow the region of interest for fine-mapping, the meta-analysis was repeated two additional times, with each of the 20-cM bins offset by 7 cM and 13 cM, respectively, creating regions of overlap with the original method. The 6-7 cM shared regions, where the highest averaged 20-cM bins from each of the three offsets overlap, designated the minimum region of maximum significance (MRMS). Application of the GSMA-MRMS method revealed genome wide significance (p-values refer to the average rank assigned to the bin) at regions including or adjacent to all of the simulated disease loci: chromosome 1 (p < 0.0001 for 160-167 cM, including D1), chromosome 3 (p-value < 0.0000001 for 287-294 cM, including D2), chromosome 5 (p-value < 0.001 for 0-7 cM, including D3), and chromosome 9 (p-value < 0.05 for 7-14 cM, the region adjacent to D4). This GSMA analysis approach demonstrates the power of linkage meta-analysis to detect multiple genes simultaneously for a complex disorder. The MRMS method enhances this powerful tool to focus on more localized regions of linkage.

Chromosomes, Human↗

The molecular structure of the DNA fragments eliminated during chromatin diminution in Cyclops kolensis.

Presumptive somatic cells of the copepod Cyclops kolensis specifically eliminate a large fraction of their genome by the process of chromatin diminution. The eliminated DNA (eDNA) remains only in the germline cells. Very little is known about the nature of the sequences eliminated from somatic cells. We cloned a fraction of the eDNA and sequenced 90 clones that total 32 kb. The following organizational patterns were demonstrated for the eDNA sequences. All do not contain open reading frames. Each fragment contains 1-3 families of short repeats (10-30 bp) highly homologous within families (87%-100%). Most repeats are separated by spacers up to 50 bp long. Homologous regions were found between fragments, motifs from 15-300 bp in length. Among fragments there occur groups in which the same motifs are ordered in the same fashion. However, spacers between the motifs differ in length and nucleotide composition. Ubiquitous motifs (those occurring in all fragments) were identified. Analysis of motifs revealed submotifs, each occurring within several motifs. Thus, motifs may be regarded as mosaic structures composed of submotifs (short repeats). Taken together, the results provide evidence of a high organizational ordering of the DNA sequences restricted to the germline. With this in mind, it appears incorrect to refer to this part of the genome as junk. Moreover, eDNA is redundant for only the somatic cells-its function is to be sought in germline cells.

Animals↗

Zoo-FISH analysis of dog chromosome 5: identification of conserved synteny with human and cat chromosomes.

Conserved segments of synteny between the human genome and chromosome 5 (CFA 5) of the domestic dog (Canis familiaris) have been identified by reciprocal chromosome painting analysis. A CFA 5 paint probe was applied to human metaphase spreads, revealing distinct hybridisation sites on human (HSA) chromosomes 1, 11, 16, and 17. Paint probes for these human chromosomes were then hybridised to dog metaphase spreads, identifying the regions of CFA 5 with which homology is shared with the corresponding human chromosome. Application of the CFA 5 paint probe to metaphase spreads of the domestic cat (Felis catus, FCA) demonstrated hybridisation to cat chromosomes C1, D1, E1, and E2. Dog PCR primers for type 1 markers known to lie in the corresponding regions of HSA 11, 16, and 17 were used to isolate dog BAC clones representing four genes. Fluorescence in situ hybridisation analysis confirmed their localisation to CFA 5 and suggested that two of the conserved segments lie in opposing orientations on CFA 5, compared to the human chromosome concerned. A third segment appears to lie in the same orientation on both human and dog chromosomes. No suitable gene markers were available for analysis of the fourth segment. The significance of these findings is discussed with reference to current and future dog genome mapping efforts.

Animals↗

Human genome-wide screen of haplotype-like blocks of reduced diversity.

An important proportion of the human genome is organized in regions of high linkage disequilibrium (LD) and low haplotype diversity, referred to as haplotype blocks. Here, we perform a genome-wide screen of haplotype-like blocks presenting just two main haplotypes at a frequency higher than 1%, based on single-nucleotide polymorphism (SNP) frequencies from two populations: African-Americans and Caucasians, using data from the Celera SNP database. These haplotype-like blocks of reduced diversity are more abundant and of longer size in Caucasians, in agreement with population history. Several of the discovered blocks are good candidates for targets of natural selection, such as those blocks containing a cluster of bitter taste receptors or the apolipoprotein L1. In addition, several genes putatively involved in susceptibility to common diseases are included in these haplotype-like blocks of reduced diversity. This fact may present important implications in association studies, leading to a reduction of genotyping efforts.

Black People↗

Lack of imprinting of the human dopamine D4 receptor (DRD4) gene.

The term genomic imprinting has been used to refer to the differential expression of genetic material depending on whether it has come from the male or female parent. In humans, the chromosomal region 11p15.5 has been shown to contain 2 imprinted genes (H19 and IGF2). The gene for the dopamine D4 receptor (DRD4), which is of great interest for research into neuropsychiatric disorders and psychopharmacology, is also located in this area. In the present study, we have examined the imprinting status of the DRD4 gene in brain tissue of an epileptic patient who was heterozygous for a 12 bp repeat polymorphism in exon 1 of the DRD4 gene. We show that both alleles are expressed in equivalent amounts. We therefore conclude that the DRD4 gene is not imprinted in the human brain.

Base Sequence↗

Genomic instability, centrosome amplification, cell cycle checkpoints and Gadd45a.

Genomic instability has been a recognized feature of many human tumors for decades. Until recently, however, there was little insight into potential mechanisms for this phenomenon. Recent work has shown first, that increased centrosome numbers (also referred to as centrosome amplification) often accompany genomic instability and second, that when centrosome numbers are increased, cells become genetically unstable. Deletion of Gadd45a leads to centrosome amplification and consequent abnormal mitosis and aneuploidy. Gadd45a is known to be involved in a G2 checkpoint and may be involved in the normal progression from G2 to M and its coordination with S phase events. Whether these functions contribute to prevention of centrosome amplification is being investigated. However, potential mechanisms can be proposed based on known protein associations with Gadd45a, as well as proteins that regulate Gadd45a transcription and are also required for efficient coordination of centrosome duplication and DNA synthesis.

Animals↗

Nested RT-PCR for detection of sandfly fever virus, serotype Toscana, in clinical specimens, with confirmation by nucleotide sequence analysis.

A single tube, reverse transcriptase/polymerase chain reaction (RT-PCR) was developed and evaluated for detecting a 400-bp product of the small RNA of sandfly fever virus, serotype Toscana (TOS). For more sensitive detection of genomic TOS RNA, a nested PCR amplifying a 243-bp cDNA within the RT-PCR product was established. Nucleotide sequence analysis of first- and second-round PCR products using the dideoxy cycle sequencing technique confirmed a previously published sequence of the TOS reference strain (ISS. Phl.3). By nested PCR, genomic TOS RNA was amplified from two consecutive sera taken 3 and 7 weeks after the onset of illness in one patient, and from CSF of a second patient obtained at the onset of meningitis. Authenticity of amplified PCR products was confirmed by nucleotide sequence analysis, revealing a sequence identical to the TOS reference strain. RT-PCR and nested PCR are useful for laboratory diagnosis and studies of the molecular epidemiology of TOS infection.

Animals↗

Genomic and molecular landscape of early onset colorectal cancer: Emerging insights and clinical implications-A systematic review.

BACKGROUND: Early onset colorectal cancer, defined as colorectal malignancy occurring before age 50, has been rising globally. Increasing molecular evidence suggests that early onset colorectal cancer is not merely a premature form of late-onset colorectal cancer but a distinct biologic entity with unique genomic and transcriptomic profiles. METHODS: A systematic PubMed search using the terms "early onset colorectal cancer," "genomic," and "molecular" identified 270 records. Eighteen original studies met the inclusion criteria and were supplemented by references from selected articles. Extracted data encompassed clinicopathologic characteristics, genomic and epigenetic alterations, and dysregulated signaling pathways distinguishing early onset colorectal cancer from late-onset colorectal cancer. RESULTS: Evidence from approximately 19,888 patients with early onset colorectal cancer was synthesized across genomic, transcriptomic, and clinical data sets. Early onset colorectal cancer showed a predominance in distal and rectal sites, a slight male bias, and a higher prevalence among Hispanic and Asian populations. Compared with late-onset colorectal cancer, early onset colorectal cancer exhibited lower B-Raf proto-oncogene, serine/threonine kinase V600E mutation and CpG island methylator phenotype-high methylation frequencies but higher rates of tumor protein p53, Kirsten rat sarcoma viral oncogene homolog, and DNA-repair gene alterations. Distinct comutation patterns (F-box and WD repeat domain containing 7-neurogenic locus notch homolog protein 3-phosphoinositide-3-kinase regulatory subunit 1 and adenomatous polyposis coli-tumor protein p53) and overexpression of immediate-early response genes (Proto-Oncogene c-Fos, EGR1, DUSP1, and CYR61) defined its transcriptional landscape. Perturbations of Wingless/Integrated signaling pathway, mitogen-activated protein kinase, phosphoinositide 3-kinase-protein kinase B-mechanistic target of rapamycin, and DNA-repair pathways, along with global long interspersed nuclear element-1 hypomethylation, indicated heightened genomic instability. CONCLUSION: Early onset colorectal cancer develops through tumor protein p53-driven genomic instability and defective DNA repair rather than the canonical CpG island methylator phenotype-B-Raf proto-oncogene, serine/threonine kinase axis. Recognition of these molecular distinctions is essential for age-specific risk assessment, screening, and precision therapeutics. Further integrative studies are needed to elucidate environmental and genetic contributors and identify novel biomarkers and treatment targets.

Humans↗

The readthrough region of Potato mop-top virus (PMTV) coat protein encoding RNA, the second largest RNA of PMTV genome, undergoes structural changes in naturally infected and experimentally inoculated plants.

Molecular data on Potato mop-top virus (PMTV), genus Pomovirus, is currently mostly based on analysis of two Scottish isolates, PMTV-S and PMTV-T. Here we report the complete sequence of "the coat protein (CP) encoding RNA" of an isolate of PMTV obtained from the field in Sweden. Our data show that this RNA (3134 nt) is the second largest of the three RNA species in the tripartite PMTV genome, and it should, therefore, be referred to as RNA 2. This nomenclature is consistent with other pomoviruses. The sequence of the readthrough domain (RT) of RNA 2 was determined also in two additional field isolates of PMTV from Finland and Denmark. All three isolates contained a novel, 109 nucleotides long sequence at the 3'-end of the RT, which has not been found in PMTV-S and PMTV-T. Hence, our data suggest that the RNA 2 sequences previously described for the isolates PMTV-T and PMTV-S may represent deletion derivatives. The C-proximal half of RT contained many amino acid (aa) differences among the isolates, in contrast to only few aa differences in the N-proximal part of RT. Deletion variants of RNA 2 were generated from the Nordic isolates in potato tubers infected in the field, and in the mechanically inoculated test plants. All deletions started within a short region (18 nt) and removed 558-940 nt from the 3'-end of RT region. This study for the first time describes the full-length sequence of the "CP-encoding RNA" (RNA2) of PMTV, and reveals considerable aa variability and occurrence of deletion variants of RT in the field isolates of PMTV.

Amino Acid Sequence↗

Whole genome DNA copy number changes identified by high density oligonucleotide arrays.

Changes in DNA copy number are one of the hallmarks of the genetic instability common to most human cancers. Previous microarray-based methods have been used to identify chromosomal gains and losses; however, they are unable to genotype alleles at the level of single nucleotide polymorphisms (SNPs). Here we describe a novel algorithm that uses a recently developed high-density oligonucleotide array-based SNP genotyping method, whole genome sampling analysis (WGSA), to identify genome-wide chromosomal gains and losses at high resolution. WGSA simultaneously genotypes over 10,000 SNPs by allele-specific hybridisation to perfect match (PM) and mismatch (MM) probes synthesised on a single array. The copy number algorithm jointly uses PM intensity and discrimination ratios between paired PM and MM intensity values to identify and estimate genetic copy number changes. Values from an experimental sample are compared with SNP-specific distributions derived from a reference set containing over 100 normal individuals to gain statistical power. Genomic regions with statistically significant copy number changes can be identified using both single point analysis and contiguous point analysis of SNP intensities. We identified multiple regions of amplification and deletion using a panel of human breast cancer cell lines. We verified these results using an independent method based on quantitative polymerase chain reaction and found that our approach is both sensitive and specific and can tolerate samples which contain a mixture of both tumour and normal DNA. In addition, by using known allele frequencies from the reference set, statistically significant genomic intervals can be identified containing contiguous stretches of homozygous markers, potentially allowing the detection of regions undergoing loss of heterozygosity (LOH) without the need for a matched normal control sample. The coupling of LOH analysis, via SNP genotyping, with copy number estimations using a single array provides additional insight into the structure of genomic alterations. With mean and median inter-SNP euchromatin distances of 244 kilobases (kb) and 119 kb, respectively, this method affords a resolution that is not easily achievable with non-oligonucleotide-based experimental approaches.

Cell Line, Tumor↗

Fine mapping in tomato using microsynteny with the Arabidopsis genome: the Diageotropica (Dgt) locus.

BACKGROUND: The Arabidopsis thaliana genome sequence provides a catalog of reference genes applicable to comparative microsynteny analysis of other species, facilitating map-based cloning in economically important crops. We have applied such an analysis to the tomato expressed sequence tag (EST) database to expedite high-resolution mapping of the Diageotropica (Dgt) gene within the distal end of chromosome 1 in tomato (Lycopersicon esculentum). RESULTS: A BLAST search of the Arabidopsis database with nucleotide sequences of markers that flank the tomato dgt locus revealed regions of microsynteny between the distal end of chromosome 1 in tomato, two regions of Arabidopsis chromosome 4, and one on chromosome 2. Tomato ESTs homeologous to Arabidopsis gene sequences within those regions were converted into co-dominant molecular markers via cleaved amplified polymorphic sequence (CAPS) analysis and scored against an informative backcross mapping population. Six new microsyntenic EST (MEST) markers were rapidly identified in the dgt region, two of which further defined the placement of the Dgt gene and permitted the selection of a candidate tomato bacterial artificial chromosome clone for sequence analysis. CONCLUSIONS: Microsynteny-based comparative mapping combined with CAPS analysis of recombinant plants rapidly and economically narrowed the dgt mapping region from 0.8 to 0.15 cM. This approach should contribute to developing high-density maps of molecular markers to target-specific regions for positional cloning and marker-assisted selection in a variety of plants.

Arabidopsis↗

[Evolution of Alu repeats. Imitation model].

At present, nucleotide sequences of 100 different Alu repeats are known, i.e. 0.01% of the total number of Alu repeats in the genome. It is clear that one can not refer the evolutionary characteristics of Alu repeats obtained from the analysis of the available limited sample to all Alu repeats comprised in the genome, without additional statistical estimations. For supplementary investigation of such average evolutionary characteristics as the extent of intraspecific divergence, the rate of Alu repeats transposition (insertion, excision), we used the method of imitation simulation of the process of Alu repeats transposition in the genome. As a result of simulation, phylogenetic relations were obtained among all Alu repeats. It was shown that the evolutionary characteristics evaluated for different samples of repeats were similar. It was proved that the extent of divergence of Alu repeats in the model is twice as small as that evaluated, according to the real data (0.15, instead of 0.3). Possible reasons for such discrepancy have been discussed.

Genome, Human↗

Sequencing the entire genomes of free-living organisms: the foundation of pharmacology in the new millennium.

The power and effectiveness of clinical pharmacology are about to be transformed with a speed that earlier in this decade could not have been foreseen even by the most astute visionaries. In the very near future, we will have at our disposal the reference DNA sequence for the entire human genome, estimated to contain approximately 3.5 billion bp. At the same time, the science of whole genome sequencing is fostering the computational science of bioinformatics needed to develop practical applications for pharmacology and toxicology. Indeed, it is likely that pharmacology, toxicology, bioinformatics, and genomics will merge into a new branch of medical science for studying and developing pharmaceuticals from molecule to bedside.

Animals↗

Five-Year (2017-2022) Evolutionary Dynamics of Human Coronavirus HKU1 in Southern France With Emergence of Viruses Harboring Spike H512R Substitution.

HCoV-HKU1 diversity and evolution were scarcely studied. We performed next-generation sequencing (NGS) and analysis of HCoV-HKU1 genomes over 5 years. NGS used Illumina technology on NovaSeq 6000 following whole genome PCR amplification by an in-house set of primers designed using Gemi and PrimalScheme. Genome assembly and analyses used CLC Genomics, Mafft, BioEdit, Nextstrain, Nextclade, MEGA, and iTol bioinformatic tools. Spike molecular modeling and dynamics simulations used Molegro Molecular Viewer and Hyperchem programs. Twenty-eight PCR systems allowed obtaining 158 HCoV-HKU1 genomes including 69 and 89 of genotypes A and B, respectively. Both genotypes co-circulated during the study period but one predominated each year. A total of 1683 amino acid substitutions including 80 in &#x2265;&#x2009;10 genomes were detected in genotype A relatively to a 2004 reference. H512R in spike, first detected in 2009 and reported as involved in antibody neutralization, was found in all genotype A, almost always with V387I and K478N, and was predicted here to significantly improve cellular TMPRSS2 protein binding. Also, 1802 amino acid substitutions including 64 in &#x2265;&#x2009;10 genomes were detected in genotype B relatively to a 2005 reference. This study substantially expands the global set of HCoV-HKU1 genomes. Genomics with protein structural analyses contributed to our understanding of HCoV-HKU1 evolution.

Humans↗

Hepatitis B virus core promoter mutations in children with multiple anti-HBe/HBeAg reactivations result in enhanced promoter activity.

Sera of two children were examined to determine whether specific hepatitis B virus (HBV) mutants may contribute to anti-hepatitis B e/hepatitis B e antigen (anti-HBe/HBeAg) reactivations during the course of chronic hepatitis B. The full-length HBV genome isolated from sera of patient 1 and the basic core promoter (BCP) from patient 2 were amplified and sequenced before and after several reactivations. The functional significance of the mutant BCP from patient 1 was studied using the luciferase assay. In both patients, rare mutations were found in the BCP at nucleotides 1764(G-->T)/1766(C-->G) and 1766(C-->T)/1768(T-->A) in case 1 and 2, respectively. In the BCP from patient 1, a putative new binding site for the transcription factor hepatocyte nuclear factor 3 (HNF3) was generated. The functional analyses of the mutant showed a 2.8-fold increase of core promoter activity, whereas the BCP variant of patient 2 was also identified to result in enhanced promoter activity. The alignment of full-length genomes from child 1 to the reference sequence showed 61 nucleotide substitutions. Furthermore, the time of reactivations from child 1 was always accompanied by selection of a precore mutation at nucleotide position 1899. In liver tissue of patient 1 before development of hepatocellular carcinoma only free viral sequences were found, whereas a single site integration of HBV was detected in hepatocytes after activation of carcinogenesis. Specific mutations in the HBV BCP of the two patients that are rarely present in chronic carriers were identified to increase the core promoter activity possibly by altering transcription factor binding, suggesting that these variants may be involved in the pathogenesis of frequent HBV reactivations.

Adolescent↗

Molecular genotyping of isolates of Actinobacillus actinomycetemcomitans by pulsed-field gel electrophoresis after separate digestion with Sse8387I and XhoI.

Genomic DNA from 18 Japanese clinical isolates of Actinobacillus actinomycetemcomitans was obtained from six periodontitis patients and analyzed using pulsed-field gel electrophoresis (PFGE) after separate digestion with Sse8387I and with XhoI. Three isolates from an identical patient were found to share an identical PFGE profile, and isolates from distinct patients were found to have PFGE profiles distinctly different from each other. Consequently, the 18 Japanese clinical isolates were discriminated into six distinct genotypes by means of PFGE. The genomic DNA from the other six reference strains (ATCC33384, ATCC43717, ATCC 43718, JCM2434, JCM2435 and Nig-1) was discriminated into six genotypes by the same PFGE methodology, and these six genotypes were found to be distinctly different from the six genotypes of the 18 Japanese clinical isolates described above. Serotyping demonstrated three PFGE genotypes in the serotype a strains, four the serotype b strains and three the serotype c strains. The present results clearly suggest that the PFGE procedure after separate digestion with Sse8387I and with XhoI has an excellent discriminatory power amongst strains and has a good genotypability for A. actinomycetemcomitans.

Aggregatibacter actinomycetemcomitans↗