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Over a decade of experience with preimplantation genetic diagnosis.

The three respondents provide additional support for preimplantation genetic diagnosis (PGD) having the pivotal place it now has in prenatal genetic diagnosis: chromosomal abnormalities (e.g., unbalanced translocations), Mendelian disorders, and HLA typing for transfer of compatible, genetically normal, embryos. Transferring euploid embryos has decreased the clinical abortion rate and increased the implantation rate in assisted reproductive technologies (ART), but it has not necessarily improved the live-birth rate. Safer embryo biopsy, more extensive diagnostic efforts (i.e., microarray analysis), and more refined patient selection may be required before shifting from preselection of embryos based solely on morphological parameters to transfer of only aneuploidy-free embryos.

Abortion, Spontaneous↗

From centrocytic to mantle cell lymphoma: a clinicopathologic and molecular review of 3 decades.

Mantle cell lymphoma (MCL), described almost 3 decades ago as centrocytic lymphoma and by a variety of other names, was initially recognized morphologically. MCL is a classic illustration of how the field of hematopathology and our basic understanding of neoplasia have evolved. The advent of immunophenotypic and increasingly sophisticated genotypic and cytogenetic studies, together with clinical investigations, have led to a better practical and biologic understanding of MCL and have broader implications as well. MCL is now recognized as an aggressive, difficult to treat, B-cell lymphoma with a broader morphologic spectrum than was initially appreciated and a characteristic phenotype (CD5+, CD10-, CD23-, FMC7+). Virtually all MCLs carry the translocation t(11;14)(q13;q32) with overexpression of the involved CCND1 (cyclin D1) gene. Additional cytogenetic and molecular abnormalities have been identified, including some that are early events (such as ATM gene deletion and mutation) and others that appear to be late events (such as deletions and mutations in the negative cell cycle regulatory elements p53, p16, and p18). The latter are often associated with a blastoid morphology and more aggressive clinical course. Ongoing clinical and basic investigations including microarray analysis will undoubtedly provide additional insights into MCL and perhaps more effective and specific therapeutic modalities.

Chromosomes, Human, Pair 11↗

Identification of NAD+-dependent isocitrate dehydrogenase 3 gamma-like (IDH3GL) gene and its genetic polymorphisms.

We have identified a novel human gene designated as IDH3GL (isocitrate dehydrogenase 3 gamma-like) that is expressed specifically in human testis. The gene corresponds in sequence to an EST (expressed sequence tag) A1476435 that was first detected by differential expression analysis using a microarray assay. The full-length cDNA sequence (1037 bp) was isolated from the human testis 5'-3'-RACE cDNA libraries and found to have 83% nucleotide sequence identity with part of the IDH3G (isocitrate dehydrogenase 3 gamma). The IDH3GL gene consists of 3 exons spanning approximately 220 kb within the region of the NELL1 gene on chromosome 11p15.1. Sequence analysis of the IDH3GL cDNA revealed the presence of a premature stop codon at nucleotide positions 337-339 that results in a truncated peptide with 112 amino acids. This stop codon is conserved in various human ethnic populations and in the chimpanzee (Pan troglodytes). In order to assess the functional status of IDH3GL, especially in relation to the presence of the putative premature stop codon, single nucleotide polymorphisms (SNPs) were screened in the upstream, coding and non-coding regions of the IDH3GL gene in a Japanese population. As a result, a total of 10 SNPs were identified, seven were novel and one of them was a non-synonymous amino acid substitution from Leu to Val. We conclude that the IDH3GL gene sequence is a splice variant of the NELL1 gene and that it probably evolved from a transposed pseudogene of the IDH3 gene.

Amino Acid Sequence↗

PUNS: transcriptomic- and genomic-in silico PCR for enhanced primer design.

UNLABELLED: We developed a CGI/Perl-based web server to perform in silico polymerase chain reaction (PCR) on PCR primer sequences. The PUNS (Primer-UniGene Selectivity) server simulates PCR reactions by running BLASTN analysis on user-entered primer pairs against both the transcriptome and the genome to assess primer specificity. PUNS is particularly suited for the identification of highly selective primers for quantitative microarray validation. AVAILABILITY: Both system access and source-code are freely available at http://okeylabimac.med.utoronto.ca/PUNS.

Algorithms↗

Microarray detection of E2F pathway activation and other targets in multiple sclerosis peripheral blood mononuclear cells.

We performed microarray analysis of peripheral blood mononuclear cells (PBMCs) from multiple sclerosis (MS) patients and detected a profile of immune cell activation, autoantigen upregulation, and enhanced E2F pathway transcription. Accordingly, E2f1-deficient mice manifested only mild disability upon induction of experimental autoimmune encephalomyelitis (EAE). Furthermore, PBMCs from Avonex-treated patients had lower expression of E2F targets. The profile was enriched in genes known to harbor MS-associated polymorphisms, or localized to MS susceptibility chromosomal regions. Our study shows that PBMC microarrays reflect MS pathobiology that can be validated in the EAE model.

Adolescent↗

The Forkhead transcription factor Hcm1 regulates chromosome segregation genes and fills the S-phase gap in the transcriptional circuitry of the cell cycle.

Transcription patterns shift dramatically as cells transit from one phase of the cell cycle to another. To better define this transcriptional circuitry, we collected new microarray data across the cell cycle of budding yeast. The combined analysis of these data with three other cell cycle data sets identifies hundreds of new highly periodic transcripts and provides a weighted average peak time for each transcript. Using these data and phylogenetic comparisons of promoter sequences, we have identified a late S-phase-specific promoter element. This element is the binding site for the forkhead protein Hcm1, which is required for its cell cycle-specific activity. Among the cell cycle-regulated genes that contain conserved Hcm1-binding sites, there is a significant enrichment of genes involved in chromosome segregation, spindle dynamics, and budding. This may explain why Hcm1 mutants show 10-fold elevated rates of chromosome loss and require the spindle checkpoint for viability. Hcm1 also induces the M-phase-specific transcription factors FKH1, FKH2, and NDD1, and two cell cycle-specific transcriptional repressors, WHI5 and YHP1. As such, Hcm1 fills a significant gap in our understanding of the transcriptional circuitry that underlies the cell cycle.

Chromosome Segregation↗

Chromatin architecture of the human genome: gene-rich domains are enriched in open chromatin fibers.

We present an analysis of chromatin fiber structure across the human genome. Compact and open chromatin fiber structures were separated by sucrose sedimentation and their distributions analyzed by hybridization to metaphase chromosomes and genomic microarrays. We show that compact chromatin fibers originate from some sites of heterochromatin (C-bands), and G-bands (euchromatin). Open chromatin fibers correlate with regions of highest gene density, but not with gene expression since inactive genes can be in domains of open chromatin, and active genes in regions of low gene density can be embedded in compact chromatin fibers. Moreover, we show that chromatin fiber structure impacts on further levels of chromatin condensation. Regions of open chromatin fibers are cytologically decondensed and have a distinctive nuclear organization. We suggest that domains of open chromatin may create an environment that facilitates transcriptional activation and could provide an evolutionary constraint to maintain clusters of genes together along chromosomes.

Cell Line↗

Helicobacter pylori genetic diversity within the gastric niche of a single human host.

Isolates of the gastric pathogen Helicobacter pylori harvested from different individuals are highly polymorphic. Strain variation also has been observed within a single host. To more fully ascertain the extent of H. pylori genetic diversity within the ecological niche of its natural host, we harvested additional isolates of the sequenced H. pylori strain J99 from its human source patient after a 6-year interval. Randomly amplified polymorphic DNA PCR and DNA sequencing of four unlinked loci indicated that these isolates were closely related to the original strain. In contrast, microarray analysis revealed differences in genetic content among all of the isolates that were not detected by randomly amplified polymorphic DNA PCR or sequence analysis. Several ORFs from loci scattered throughout the chromosome in the archival strain did not hybridize with DNA from the recent strains, including multiple ORFs within the J99 plasticity zone. In addition, DNA from the recent isolates hybridized with probes for ORFs specific for the other fully sequenced H. pylori strain 26695, including a putative traG homolog. Among the additional J99 isolates, patterns of genetic diversity were distinct both when compared with each other and to the original prototype isolate. These results indicate that within an apparently homogeneous population, as determined by macroscale comparison and nucleotide sequence analysis, remarkable genetic differences exist among single-colony isolates of H. pylori. Direct evidence that H. pylori has the capacity to lose and possibly acquire exogenous DNA is consistent with a model of continuous microevolution within its cognate host.

Chromosomes, Bacterial↗

Comparison of gene expression in segregating families identifies genes and genomic regions involved in a novel adaptation, zinc hyperaccumulation.

One of the challenges of comparative genomics is to identify specific genetic changes associated with the evolution of a novel adaptation or trait. We need to be able to disassociate the genes involved with a particular character from all the other genetic changes that take place as lineages diverge. Here we show that by comparing the transcriptional profile of segregating families with that of parent species differing in a novel trait, it is possible to narrow down substantially the list of potential target genes. In addition, by assuming synteny with a related model organism for which the complete genome sequence is available, it is possible to use the cosegregation of markers differing in transcription level to identify regions of the genome which probably contain quantitative trait loci (QTLs) for the character. This novel combination of genomics and classical genetics provides a very powerful tool to identify candidate genes. We use this methodology to investigate zinc hyperaccumulation in Arabidopsis halleri, the sister species to the model plant, Arabidopsis thaliana. We compare the transcriptional profile of A. halleri with that of its sister nonaccumulator species, Arabidopsis petraea, and between accumulator and nonaccumulator F(3)s derived from the cross between the two species. We identify eight genes which consistently show greater expression in accumulator phenotypes in both roots and shoots, including two metal transporter genes (NRAMP3 and ZIP6), and cytoplasmic aconitase, a gene involved in iron homeostasis in mammals. We also show that there appear to be two QTLs for zinc accumulation, on chromosomes 3 and 7.

Adaptation, Physiological↗

ASPM mutations identified in patients with primary microcephaly and seizures.

BACKGROUND: Human autosomal recessive primary microcephaly (MCPH) is a heterogeneous disorder with at least six genetic loci (MCPH1-6), with MCPH5, caused by ASPM mutation, being the most common. Despite the high prevalence of epilepsy in microcephaly patients, microcephaly with frequent seizures has been excluded from the ascertainment of MCPH. Here, we report a pedigree with multiple affected individuals with microcephaly and seizures. OBJECTIVE: To identify the gene responsible for microcephaly and seizures in this pedigree. METHODS: Clinical assessments of three patients and brain MRIs of two patients were obtained. Genome-wide linkage screen with 10 k SNP microarray, fine mapping with microsatellite markers, and mutational analysis of the genomic DNA were performed on the pedigree. RESULTS: We found that the family was linked to the MCPH5 locus on chromosome 1q31.2-q32.1. We screened ASPM and identified a previously unreported nonsense mutation that introduced a premature stop codon in exon 18 of the ASPM gene. CONCLUSIONS: We thus expand the clinical spectrum of ASPM mutations by showing that they can occur in patients with seizures and that the history of seizures alone should not necessarily preclude the diagnosis of primary microcephaly.

Brain↗

High-throughput functional genomic methods to analyze the effects of dietary lipids.

The applications of 'omics' (genomics, transcriptomics, proteomics and metabolomics) technologies in nutritional studies have opened new possibilities to understand the effects and the action of different diets both in healthy and diseased states and help to define personalized diets and to develop new drugs that revert or prevent the negative dietary effects. Several single nucleotide polymorphisms have already been investigated for potential gene-diet interactions in the response to different lipid diets. It is also well-known that besides the known cellular effects of lipid nutrition, dietary lipids influence gene expression in a tissue, concentration and age-dependent manner. Protein expression and post-translational changes due to different diets have been reported as well. To understand the molecular basis of the effects and roles of dietary lipids high-throughput functional genomic methods such as DNA- or protein microarrays, high-throughput NMR and mass spectrometry are needed to assess the changes in a global way at the genome, at the transcriptome, at the proteome and at the metabolome level. The present review will focus on different high-throughput technologies from the aspects of assessing the effects of dietary fatty acids including cholesterol and polyunsaturated fatty acids. Several genes were identified that exhibited altered expression in response to fish-oil treatment of human lung cancer cells, including protein kinase C, natriuretic peptide receptor-A, PKNbeta, interleukin-1 receptor associated kinase-1 (IRAK-1) and diacylglycerol kinase genes by using high-throughput quantitative real-time PCR. Other results will also be mentioned obtained from cholesterol and polyunsaturated fatty acid fed animals by using DNA- and protein microarrays.

Animals↗

Group analysis of regulation of fibroblast genome on low-adhesion nanostructures.

Nanotopographical material modification represents a possible way of producing surfaces that influence cellular adhesion for biomaterials purposes. Here, two low-adhesion surfaces are studied with human genome microarrays (120nm diameter pits produced by electron beam lithography and 11nm high columns produced by colloidal lithography). In order to present the large numbers of results produced in a succinct and easy to understand manner, two types of recent bioinformatics methods were used; iterative group analysis and Ingenuity pathway analysis. These methods allowed the easy comparison of the nanomaterials and showed large-scale changes in areas of extracellular matrix, cell signalling and inflammation. The results demonstrate that whilst modes of cellular response to low-adhesion materials are similar, the more adhesion is reduced, the further 'shut-down' of critical cellular activities is observed. We also feel that the analysis used could be of interest to biomaterials scientists looking for easy ways to display microarray data efficiently.

Adhesiveness↗

The order of genetic events associated with colorectal cancer progression inferred from meta-analysis of copy number changes.

To identify chromosomal aberrations that differentiate among the Dukes' stages of colorectal cancer (CRC) as well as those that are responsible for the progression into liver metastases, we performed a meta-analysis of data obtained from 31 comparative genomic hybridization (CGH) studies comprising a total of 859 CRCs. Individual copy number profiles for 373 primary tumors and 102 liver metastases were recorded and several statistical analyses, such as frequency, multivariate logistic regression, and trend tests, were performed. In addition, time of occurrence analysis was applied for the first time to copy number changes identified by CGH, and each genomic imbalance was thereby classified as an early or late event in colorectal tumorigenesis. By combining data from the different statistical tests, we present a novel genetic pathway for CRC progression that distinguishes the Dukes' stages and identifies early and late events in both primary carcinomas and liver metastases. Results from the combined analyses suggest that losses at 17p and 18 and gains of 8q, 13q, and 20 occur early in the establishment of primary CRCs, whereas loss of 4p is associated with the transition from Dukes' A to B-D. Deletion of 8p and gains of 7p and 17q are correlated with the transition from primary tumor to liver metastasis, whereas losses of 14q and gains of 1q, 11, 12p, and 19 are late events. We supplement these findings with a list of potential target genes for the specific alterations from a publicly available microarray expression dataset of CRC.

Chromosome Aberrations↗

Evaluation of a genomics platform for cross-species transcriptome analysis of recombinant CHO cells.

Microarray technology for mammalian cells has been utilized mainly for humans, mouse, and rat gene expression analysis. In this approach the feasibility of cross-species hybridization experiments using Chinese hamster ovary (CHO) cells was evaluated. Sequence alignments of available data for CHO were performed against mouse and rat transcripts to determine the homology between the investigated species. We implemented a probability model based on this homology in order to estimate the chance for successful hybridization using Agilent's 60-mer oligonucleotide platform. Heat-shock expression data from CHO, mouse 3T3, and rat A10 cells were generated to determine intraspecies variability, reproducibility, and specificity in order to assess the accuracy of this method. Detected signature genes, in particular from studies with the mouse arrays, showed a reliable similarity between these two rodents and were confirmed by quantitative RT-PCR. Our findings provide evidence that cross-species analysis can be a useful tool to study gene expression profiles of related organisms for which species-specific microarrays are not available.

Algorithms↗

Genome sequence and comparative microarray analysis of serotype M18 group A Streptococcus strains associated with acute rheumatic fever outbreaks.

Acute rheumatic fever (ARF), a sequelae of group A Streptococcus (GAS) infection, is the most common cause of preventable childhood heart disease worldwide. The molecular basis of ARF and the subsequent rheumatic heart disease are poorly understood. Serotype M18 GAS strains have been associated for decades with ARF outbreaks in the U.S. As a first step toward gaining new insight into ARF pathogenesis, we sequenced the genome of strain MGAS8232, a serotype M18 organism isolated from a patient with ARF. The genome is a circular chromosome of 1,895,017 bp, and it shares 1.7 Mb of closely related genetic material with strain SF370 (a sequenced serotype M1 strain). Strain MGAS8232 has 178 ORFs absent in SF370. Phages, phage-like elements, and insertion sequences are the major sources of variation between the genomes. The genomes of strain MGAS8232 and SF370 encode many of the same proven or putative virulence factors. Importantly, strain MGAS8232 has genes encoding many additional secreted proteins involved in human-GAS interactions, including streptococcal pyrogenic exotoxin A (scarlet fever toxin) and two uncharacterized pyrogenic exotoxin homologues, all phage-associated. DNA microarray analysis of 36 serotype M18 strains from diverse localities showed that most regions of variation were phages or phage-like elements. Two epidemics of ARF occurring 12 years apart in Salt Lake City, UT, were caused by serotype M18 strains that were genetically identical, or nearly so. Our analysis provides a critical foundation for accelerated research into ARF pathogenesis and a molecular framework to study the plasticity of GAS genomes.

Acute Disease↗

Gene expression profiling of head and neck squamous cell carcinoma using cDNA microarrays.

The molecular mechanisms causing the development of squamous cell carcinomas in the head and neck region are mostly unknown. Identification of molecular changes which are involved in carcinogenesis might play a key role in improving the diagnosis, therapy and prognosis of patients with carcinomas in the head and neck. The purpose of the study was to identify transcriptional alterations of apoptosis associated genes between normal mucosa and tumor tissue. We measured the mRNA expression of 408 apoptosis associated genes by microarray-technique in normal upper aerodigestive tract mucosa (n=4), and in cancer tissue (n=8) of squamous cell carcinomas of the upper aerodigestive tract. RT-PCR was performed to confirm the microarray results. A hierarchial cluster analysis, based on 22 selected marker-genes showing a separation of the two tissue types supports the hypothesis of a specific expression pattern associated with tumor development. Additionally, we found 11 genes associated with anti-apoptotic processes to be upregulated while 12 genes associated with proapoptotic functions as well as 5 DNA-replication and chromosome cycle associated genes were found to be downregulated in the tumor tissue. Furthermore 6 of 8 genes which are known to be associated with lymphocyte activation were upregulated in tumor edge tissue. These results represent a first step for the diagnostic use of microarrays in squamous cell carcinomas of the head and neck region and might improve the understanding of the molecular mechanisms of carcinogenesis in the head and neck region.

Aged↗

Comparative expressed sequence hybridization to chromosomes for tumor classification and identification of genomic regions of differential gene expression.

Altered expression of genes can have phenotypic consequences in cancer development and treatment, developmental abnormalities, and differentiation processes. Here we describe a rapid approach, termed comparative expressed sequence hybridization (CESH), which gives a genome-wide view of relative expression patterns within tissues according to chromosomal location. No prior knowledge of genes or cloning is required, and minimal amounts of tissue can be used. Expression profiles are achieved in a manner similar to the identification of chromosomal imbalances by comparative genomic hybridization analysis. The approach is demonstrated to indicate a chromosomal region that harbors overexpressed genes that may be associated with a drug-resistant phenotype. In addition, known and new regions of differential gene expression in both normal tissues and tumor samples from the soft tissue sarcoma group of rhabdomyosarcoma (RMS) are indicated. These regions included 2p24; overexpression of MYCN at 2p24 was confirmed by quantitative reverse transcription-PCR for all of the alveolar RMS cases and did not necessarily correspond to genomic amplification. Evidence including region specific microarray analysis indicated that overexpression of several genes from a region may be required for detection by CESH. This evidence is consistent with clusters of functionally related genes and mechanisms that affect the expression of a number of genes at a particular genomic location. The distinctive CESH profiles demonstrated in different subtypes of RMS show potential for tumor classification.

Chromosomes, Artificial, Yeast↗