Biomedical subjects

Paul C Boutros

Publications and source records attributed to Paul C Boutros.

15 recordsLinked to original sources

PubMed2025

Genomic and Transcriptomic Profiling of Radiation-Resistant, Locally Recurrent Prostate Cancer.

PURPOSE: The biology of locally radiorecurrent prostate cancer (LRR-PCa) is poorly understood. METHODS AND MATERIALS: We sought to explore the genomic and transcriptomic landscape of LRR-PCa with targeted DNA sequencing and RNA expression analysis from 41 biopsy-proven LRR-PCa tumors from 36 unique patients who had a recurrence at a median interval of 84 months (IQR, 70-124 months). Genomic alteration frequencies and transcriptomic data were compared between the LRR-PCa cohort and treatment-naïve patients from the Cancer Genome Atlas (genomic; n = 496) and Gleason grade-at-recurrence-matched patients from the Decipher Genomics Resource for Intelligent Discovery (transcriptomic; n = 22,320). RESULTS: Twenty-five patients (69%) had pathologic upgrading at recurrence (17% vs 64% with Gleason grade 4-5 disease; P < .001). The LRR-PCa cohort demonstrated significantly greater single-nucleotide variations in 29 genes known to be associated with prostate cancer, including several associated with increased aggressiveness and DNA repair: FAT1 (58.5% vs 1.0%), RAD51B (36.6% vs 0.4%), POLQ (34.1% vs 1.4%), KMT2C (34.1% vs 4.9%), BRCA2 (29.3% vs 1.8%), ATRX (26.8% vs 0.8%), and BRCA1 (24.4% vs 0.4%) (Pvalues < .001 for all). The LRR-PCa cohort had a significantly higher Decipher score (median, 0.80 vs 0.66; P = .05) and demonstrated significantly greater basal subtype based on PAM50 (56% vs 20%; P < .001) and lower androgen receptor activity (61% for LRR vs 9%; P < .001). CONCLUSIONS: Overall, these results suggest that LRR-PCa has a distinct genomic and transcriptomic landscape from de novo prostate cancer. Specifically, LRR-PCa has an enrichment in SNVs in genes associated with tumor aggressiveness and/or DNA repair, has higher Decipher scores, a more basal subtype, and has transcriptomic evidence of lower androgen receptor activity and loss of tumor suppressor genes.

Humans↗

PubMed2006

Gene expression profiling in cervical cancer: an exploration of intratumor heterogeneity.

PURPOSE: To explore intratumor heterogeneity in gene expression profiles from patients with cervical cancer. EXPERIMENTAL DESIGN: A total of 33 biopsies were obtained from 11 patients, sampling between two and five different areas for each tumor. The extracted RNA was hybridized onto the Affymetrix U133 Plus 2.0 oligonucleotide chip. The variance of expression within a patient (W), between patients (B) and the total variance (T = W + B) were calculated for each ProbeSet, and the ratio W/T was used as a measure of intratumor heterogeneity. Gene Ontology functional analysis was done to assess the function of genes that had high W/T (top 10%) and low W/T (bottom 10%) values. RESULTS: In total, 448 ProbeSets (2.2% of the total) had W/T < 0.10, indicating low intratumor heterogeneity, and 537 ProbeSets (2.7% of the total) had W/T > 0.90, indicating high intratumor heterogeneity. In total 14,473 ProbeSets (72.4%) had higher intertumor than intratumor heterogeneity (W/T < 0.5). Genes with low intratumor heterogeneity were characterized by a statistically significant enrichment of immune-related functions (P < 0.0001). Genes with high intratumor heterogeneity were characterized by a significant tendency towards nuclear localization and nucleic acid binding (both P < 0.0001). For genes with W/T > 0.5, more than six biopsies would be required to minimize the intratumoral heterogeneity to <0.15; if W/T is 0.3 to 0.4, four biopsies are required; and for low W/T of 0.16 to 0.3, only two to three biopsies would be needed. CONCLUSION: Although the intratumor heterogeneity was low for the majority of the tested ProbeSets, for many genes, multiple biopsies are required to obtain a reliable estimate of gene expression.

Adenocarcinoma↗

PubMed2006

The c-Myc oncogene directly induces the H19 noncoding RNA by allele-specific binding to potentiate tumorigenesis.

The product of the MYC oncogene is widely deregulated in cancer and functions as a regulator of gene transcription. Despite an extensive profile of regulated genes, the transcriptional targets of c-Myc essential for transformation remain unclear. In this study, we show that c-Myc significantly induces the expression of the H19 noncoding RNA in diverse cell types, including breast epithelial, glioblastoma, and fibroblast cells. c-Myc binds to evolutionarily conserved E-boxes near the imprinting control region to facilitate histone acetylation and transcriptional initiation of the H19 promoter. In addition, c-Myc down-regulates the expression of insulin-like growth factor 2 (IGF2), the reciprocally imprinted gene at the H19/IGF2 locus. We show that c-Myc regulates these two genes independently and does not affect H19 imprinting. Indeed, allele-specific chromatin immunoprecipitation and expression analyses indicate that c-Myc binds and drives the expression of only the maternal H19 allele. The role of H19 in transformation is addressed using a knockdown approach and shows that down-regulation of H19 significantly decreases breast and lung cancer cell clonogenicity and anchorage-independent growth. In addition, c-Myc and H19 expression shows strong association in primary breast and lung carcinomas. This work indicates that c-Myc induction of the H19 gene product holds an important role in transformation.

Acetylation↗

PubMed2006

Differential expression profiling of the hepatic proteome in a rat model of dioxin resistance: correlation with genomic and transcriptomic analyses.

One characteristic feature of acute 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) toxicity is dramatic interspecies and interstrain variability in sensitivity. This complicates dioxin risk assessment for humans. However, this variability also provides a means of characterizing mechanisms of dioxin toxicity. Long-Evans (Turku/AB) rats are orders of magnitude more susceptible to TCDD lethality than Han/Wistar (Kuopio) rats, and this difference constitutes a very useful model for identifying mechanisms of dioxin toxicity. We adopted a proteomic approach to identify the differential effects of TCDD exposure on liver protein expression in Han/Wistar rats as compared with Long-Evans rats. This allows determination of which, if any, protein markers are indicative of differences in dioxin susceptibility and/or responsible for conferring resistance. Differential protein expression in total liver protein was assessed using two-dimensional gel electrophoresis, computerized gel image analysis, in-gel digestion, and mass spectrometry. We observed significant changes in the abundance of several proteins, which fall into three general classes: (i) TCDD-independent and exclusively strain-specific (e.g. isoforms of the protein-disulfide isomerase A3, regucalcin, and agmatine ureohydrolase); (ii) strain-independent and only dependent on TCDD exposure (e.g. aldehyde dehydrogenase 3A1 and rat selenium-binding protein 2); (iii) dependent on both TCDD exposure and strain (e.g. oxidative stress-related proteins, apoptosis-inducing factor, and MAWD-binding protein). By integrating transcriptomic (microarray) data and genomic data (computational search of regulatory elements), we found that protein expression levels were mainly controlled at the level of transcription. These results reveal, for the first time, a subset of hepatic proteins that are differentially regulated in response to TCDD in a strain-specific manner. Some of these differential responses may play a role in establishing the major differences in TCDD response between these two strains of rats. As such, our work is expected to lead to new insights into the mechanism of TCDD toxicity and resistance.

Animals↗

PubMed2006

Evaluation of various housekeeping genes for their applicability for normalization of mRNA expression in dioxin-treated rats.

Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) is an extremely sensitive, convenient and rapid method to measure mRNA levels in cells and tissues, and is gaining popularity in toxicology. To correct for sample-to-sample variation, normalization of the expression data is required. The conventional way to perform normalization is to select a reference gene whose expression is believed to remain stable across all experimental conditions, then relate the concentrations of gene(s) of interest to those of this housekeeping gene. Since recent evidence shows that some housekeeping genes are actually not as refractory to experimental manipulations as previously thought, we validated a large number (18) of commonly used housekeeping genes for acute toxicity studies of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), an extremely potent environmental toxin known to regulate a wide variety of genes. Microarray and qRT-PCR analyses coherently demonstrated that about 50% of the housekeeping genes examined were responsive to TCDD in rat liver with the magnitudes of change up to nearly 10-fold. Extension of the study to spleen and hypothalamus verified that phosphoglycerate kinase 1 (Pgk1) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) retained their basal expression levels in all experimental settings, although body weight loss-generated repression may mask a slight induction of GAPDH by TCDD in liver. These findings show that normalization genes for qRT-PCR must be carefully validated in advance, especially if the study involves a potent modifier of gene expression.

Animals↗

PubMed2006

dbZach: A MIAME-compliant toxicogenomic supportive relational database.

Quantitative risk assessment and the elucidation of mechanisms of toxicity requires computational infrastructure and innovative analysis approaches that systematically consider available data at all levels of biological organization. dbZach (http://dbzach.fst.msu.edu) is a modular relational database with associated data insertion, retrieval, and mining tools that manages traditional toxicology and complementary toxicogenomic data to facilitate comprehensive data integration, analysis, and sharing. It consists of four Core Subsystems (i.e., Clones, Genes, Sample Annotation, and Protocols), four Experimental Subsystems (i.e., Microarray, Affymetrix, Real-Time PCR, and Toxicology), and three Computational Subsystems (i.e., Gene Regulation, Pathways, Orthology) that comply with the Minimum Information About a Microarray Experiment (MIAME) standard. It is capable of including emerging technologies and other model systems, including ecologically relevant species. dbZach represents an enterprise toxicogenomic data management system which facilitates data integration and analysis, and reduces uncertainties in the continuum from initial exposure to toxicity while facilitating more comprehensive elucidations of mechanisms of toxicity and supporting mechanistically-based quantitative risk assessment.

Animals↗

PubMed2006

Microarray analysis of the developing cortex.

Abnormal development of the prefrontal cortex (PFC) is associated with a number of neuropsychiatric disorders that have an onset in childhood or adolescence. Although the basic laminar structure of the PFC is established in utero, extensive remodeling continues into adolescence. To map the overall pattern of changes in cortical gene transcripts during postnatal development, we made serial measurements of mRNA levels in mouse PFC using oligonucleotide microarrays. We observed changes in mRNA transcripts consistent with known postnatal morphological and biochemical events. Overall, most transcripts that changed significantly showed a progressive decrease in abundance after birth, with the majority of change between postnatal weeks 2 and 4. Genes with cell proliferative, cytoskeletal, extracellular matrix, plasma membrane lipid/transport, protein folding, and regulatory functions had decreases in mRNA levels. Quantitative PCR verified the microarray results for six selected genes: DNA methyltransferase 3A (Dnmt3a), procollagen, type III, alpha 1 (Col3a1), solute carrier family 16 (monocarboxylic acid transporters), member 1 (Slc16a1), MARCKS-like 1 (Marcksl1), nidogen 1 (Nid1) and 3-hydroxybutyrate dehydrogenase (heart, mitochondrial) (Bdh).

Age Factors↗

PubMed2005

Aryl hydrocarbon receptor regulates distinct dioxin-dependent and dioxin-independent gene batteries.

Conventional biochemical and molecular techniques identified previously several genes whose expression is regulated by the aryl hydrocarbon receptor (AHR). We sought to map the complete spectrum of AHR-dependent genes in male adult liver using expression arrays to contrast mRNA profiles in Ahr-null mice (Ahr(-/-)) with those in mice with wild-type AHR (Ahr(+)(/)(+)). Transcript profiles were determined both in untreated mice and in mice treated 19 h earlier with 1000 microg/kg 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). Expression of 456 ProbeSets was significantly altered by TCDD in an AHR-dependent manner, including members of the classic AHRE-I gene battery, such as Cyp1a1, Cyp1a2, Cyp1b1, and Nqo1. In the absence of exogenous ligand, AHR status alone affected expression of 392 ProbeSets, suggesting that the AHR has multiple functions in normal physiology. In Ahr(-/-) mice, only 32 ProbeSets exhibited responses to TCDD, indicating that the AHR is required for virtually all transcriptional responses to dioxin exposure in liver. The flavin-containing monooxygenases, Fmo2 and Fmo3, considered previously to be uninducible, were highly induced by TCDD in an AHR-dependent manner. The estrogen receptor alpha as well as two estrogen-receptor-related genes (alpha and gamma) exhibit AHR-dependent expression, thereby extending cross-talk opportunities between the intensively studied AHR and estrogen receptor pathways. p53 binding sites are over-represented in genes down-regulated by TCDD, suggesting that TCDD inhibits p53 transcriptional activity. Overall, our study identifies a wide range of genes that depend on the AHR, either for constitutive expression or for response to TCDD.

Animals↗

PubMed2005

Toxicological implications of polymorphisms in receptors for xenobiotic chemicals: the case of the aryl hydrocarbon receptor.

Mechanistic toxicology has predominantly been focused on adverse effects that are caused by reactive metabolites or by reactive oxygen species. However, many important xenobiotics exert their toxicity, not by generating reactive products, but rather by altering expression of specific genes. In particular, some environmental contaminants target nuclear receptors that function as regulators of transcription. For example, binding of xenobiotic chemicals to steroid receptors is a principle mechanism of endocrine disruption. The aryl hydrocarbon receptor (AHR) mediates toxicity of dioxin-like compounds. In mice, a polymorphism in the AHR ligand-binding domain reduces binding affinity by about 10-fold in the DBA/2 strain compared with the C57BL/6 strain; consequently, dose-response curves for numerous biochemical and toxic effects are shifted about one log to the right in DBA/2 mice. In the Han/Wistar (Kuopio) (H/W) rat strain, a polymorphism causes a deletion of 38 or 43 amino acids from the AHR transactivation domain. This deletion is associated with a greater than 1000-fold resistance to lethality from 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). Genes in the conventional AH gene battery (e.g. CYP1A1, CYP1A2, CYP1B1, ALDH3A1, NQO1 and UGT1A1) remain responsive to TCDD in H/W rats despite the large deletion. However, the deletion may selectively alter the receptor's ability to dysregulate specific genes that are key to dioxin toxicity. We are identifying these genes using an expression array approach in dioxin-sensitive vs. dioxin-resistant rat strains and lines. Polymorphisms exist in the human AH receptor, but thus far they have not been shown to have any substantial effect on human responses to AHR-ligands.

Animals↗

PubMed2005

CpG Island microarray probe sequences derived from a physical library are representative of CpG Islands annotated on the human genome.

An effective tool for the global analysis of both DNA methylation status and protein-chromatin interactions is a microarray constructed with sequences containing regulatory elements. One type of array suited for this purpose takes advantage of the strong association between CpG Islands (CGIs) and gene regulatory regions. We have obtained 20,736 clones from a CGI Library and used these to construct CGI arrays. The utility of this library requires proper annotation and assessment of the clones, including CpG content, genomic origin and proximity to neighboring genes. Alignment of clone sequences to the human genome (UCSC hg17) identified 9595 distinct genomic loci; 64% were defined by a single clone while the remaining 36% were represented by multiple, redundant clones. Approximately 68% of the loci were located near a transcription start site. The distribution of these loci covered all 23 chromosomes, with 63% overlapping a bioinformatically identified CGI. The high representation of genomic CGI in this rich collection of clones supports the utilization of microarrays produced with this library for the study of global epigenetic mechanisms and protein-chromatin interactions. A browsable database is available on-line to facilitate exploration of the CGIs in this library and their association with annotated genes or promoter elements.

Base Sequence↗

PubMed2005

Gene expression profiling in a model of D-penicillamine-induced autoimmunity in the Brown Norway rat: predictive value of early signs of danger.

Idiosyncratic drug reactions (IDRs) cause significant morbidity and mortality. In an animal model of IDRs, 50-80% of Brown Norway rats exposed to D-penicillamine develop an autoimmune syndrome after several weeks of treatment. The symptoms of the IDR are similar to that observed in humans who take D-penicillamine. The mechanism of this reaction is unknown, and no effective biomarkers have been identified to predict susceptibility. We postulate that cell stress caused by drugs is required to initiate the response. We used a high-throughput approach to identify factors that might represent danger signals by profiling hepatic gene expression 6 h after dosing with D-penicillamine (150 mg/kg). Our results show that the drug-treated animals cluster into two distinct groups. One group exhibits substantial expression changes relative to control animals. The most significantly altered transcripts have a role in stress, energy metabolism, acute phase response, and inflammation. We used quantitative reverse transcriptase polymerase chain reaction to measure transcript levels in liver biopsies of 33 rats and found that resistant animals cluster together. This "resistant" cluster of animals contains 87.5% (7/8) resistant animals but only 48% (12/25) "sensitive" animals. This separation is statistically significant at the p = 0.01 level.

Animals↗

PubMed2005

Unsupervised pattern recognition: an introduction to the whys and wherefores of clustering microarray data.

Clustering has become an integral part of microarray data analysis and interpretation. The algorithmic basis of clustering -- the application of unsupervised machine-learning techniques to identify the patterns inherent in a data set -- is well established. This review discusses the biological motivations for and applications of these techniques to integrating gene expression data with other biological information, such as functional annotation, promoter data and proteomic data.

Algorithms↗

PubMed2005

Polymorphisms of human nuclear receptors that control expression of drug-metabolizing enzymes.

Phenotypic variation in human drug metabolism frequently can be attributed to polymorphisms in genes that encode drug-metabolizing enzymes (DMEs). However, levels of Phase I and Phase II DMEs also vary because many of these enzymes are induced by a myriad of xenobiotic chemicals. Individual differences in the capacity for induction contribute to variation in drug metabolism in human populations. Induction is mediated by intracellular receptors that act as ligand-dependent transcription factors, including several members of the nuclear receptor (NR) superfamily and the aryl hydrocarbon receptor (AHR). Genetic variations (SNPs and others) exist in genes that encode these human receptors but few of the known polymorphisms have any significant effect on enzyme induction. We suggest that the current scarcity of SNPs that are able to alter function in the DME-regulating NRs reflects considerable evolutionary selective pressures that conserve the key functional domains in these receptors.

Enzymes↗

PubMed2004

Dioxin-responsive AHRE-II gene battery: identification by phylogenetic footprinting.

We identified a set of genes that respond to dioxins through the recently discovered AHRE-II ("XRE-II") enhancer element. A total of 36 genes containing AHRE-II motifs conserved across human, mouse, and rat gene orthologs were identified by genome-wide transcription-factor binding-site searches and phylogenetic footprinting. Microarray experiments on liver from rats treated with 2,3,7,8-tetrachlorodibenzo-p-dioxin revealed statistically significant changes in mRNA levels for 13 of these 36 genes after three hours and 15 genes after 19h. The set of responsive genes was functionally characterized by ontological analysis and found to be enriched in ion-channels and transporters. Our identification of 36 putatively AHRE-II-regulated genes highlights the regulatory versatility of the aryl hydrocarbon receptor (AHR) and the ability of the AHR and its dimerization partner, ARNT, to act both as a ligand-activated transcription-factor (on AHRE-I) and as a ligand-activated coactivator (on AHRE-II). Collectively, these results demonstrate that the AHRE-II induction mechanism is employed by multiple genes and provide the first categorization of the gene battery of a ligand-activated coactivator.

Animals↗

PubMed2004

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↗