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PubMedDate not supplied

Profiling and verification of gene expression patterns in normal and malignant human prostate tissues by cDNA microarray analysis.

cDNA microarray technology allows the "profiling" of gene expression patterns for virtually any cellular material. In this study, we applied cDNA microarray technology to profile changes in gene expression associated with human prostate tumorigenesis. RNA prepared from normal and malignant prostate tissue was examined for the expression levels of 588 human genes. Four different methods for data normalization were utilized. Of these, normalization to ACTB expression proved to be the most rigorous technique with the least probability of producing spurious results. After normalization to ACTB expression, 15 of 588 (2.6%) genes examined by array analysis were differentially expressed by a factory of 2x or more in malignant compared to normal prostate tissues. The expression patterns for 8 of 15 genes have been reported previously in prostate tissues (TGFbeta3, TGFBR3, IGFII, IGFBP2, VEGF, FGF7, ERBB3, MYC), but those of seven genes are reported here for the first time (MLH1, CYP1B1, RFC4, EPHB3, MGST1, BTEB2, MLP). These genes describe at least four metabolic and signaling pathways likely disrupted in human prostate tumorigenesis. Reverse transcriptase polymerase chain reaction (RT-PCR) and Northern blot analyses quantitated with reference to ACTB expression levels verified the trends in gene expression levels observed by array analysis for 14/15 and 8/8 genes, respectively. However, RT-PCR and Northern blot analyses accurately verified the "fold" differences in expression levels for only 6/15 (40%) and 7/8 (88%) of genes examined, respectively, demonstrating the need to better validate quantitative differences in gene expression revealed by array-based techniques.

Blotting, Northern↗
PubMed2000

Genome-directed primers for selective labeling of bacterial transcripts for DNA microarray analysis.

DNA microarrays have the ability to analyze the expression of thousands of the same set of genes under at least two different experimental conditions. However, DNA microarrays require substantial amounts of RNA to generate the probes, especially when bacterial RNA is used for hybridization (50 microg of bacterial total RNA contains approximately 2 microg of mRNA). We have developed a computer-based algorithm for prediction of the minimal number of primers to specifically anneal to all genes in a given genome. The algorithm predicts, for example, that 37 oligonucleotides should prime all genes in the Mycobacterium tuberculosis genome. We tested the usefulness of the genome-directed primers (GDPs) in comparison to random primers for gene expression profiling using DNA microarrays. Both types of primers were used to generate fluorescent-labeled probes and to hybridize to an array of 960 mycobacterial genes. Compared to random-primer probes, the GDP probes were more sensitive and more specific, especially when mammalian RNA samples were spiked with mycobacterial RNA. The GDPs were used for gene expression profiling of mycobacterial cultures grown to early log or stationary growth phases. This approach could be useful for accurate genome-wide expression analysis, especially for in vivo gene expression profiling, as well as directed amplification of sequenced genomes.

Algorithms↗
PubMed2006

Evaluation of differential gene expression in susceptible and resistant clinical isolates of Klebsiella pneumoniae by DNA microarray analysis.

DNA microarray technology was used to evaluate differential gene expression in a susceptible Klebsiella pneumoniae isolate and a resistant clinical derivative. Nineteen genes were up-regulated in the resistant isolate when compared with the susceptible isolate. An ABC transporter-related gene, ycjV, was strongly over-expressed, suggesting the existence of a novel active efflux mechanism. Approximately half of the up-regulated genes coded for ribosomal proteins, or proteins involved in tRNA metabolism. Among 33 downregulated genes, almost one-third were related to nitrogen metabolism. A possible role of fitness in the development of antimicrobial resistance is suggested.

Anti-Bacterial Agents↗
PubMed2024

Prenatal diagnosis and molecular cytogenetic analysis of pure chromosome 10p15.3 microdeletion using chromosomal microarray analysis.

BACKGROUND: The literature contains exceedingly limited reports on chromosome 10p15.3 microdeletions. In the present study, two cases of fetuses with pure terminal 10p15.3 microdeletion syndrome in a Chinese population were examined, with the objective of enhancing understanding of the genotype-phenotype correlation associated with 10p15.3 microdeletions. METHODS: Two fetuses with chromosome 10p15.3 microdeletion were identified from a cohort of 5,258 cases undergoing amniocentesis. Karyotyping and chromosomal microarray analysis (CMA) was conducted to assess chromosomal abnormalities and detect copy number variations (CNVs) within the families, respectively. RESULTS: In Family 1, the fetus exhibited a 556.2-Kb deletion in the 10p15.3 region, encompassing OMIM genes such as DIP2C and ZMYND11, and presented with increased nuchal translucency on prenatal ultrasound examination. Parental CMA analysis revealed that the 10p15.3 microdeletion was inherited from the father, who displayed mild language impairment. In Family 2, a comparable 10p15.3 microdeletion was identified in a fetus presenting with asymmetric butterfly vertebrae at T10 and T12, along with mild scoliosis of the spine. Family 1 elected to terminate the pregnancy, while Family 2 chose to continue. At a follow-up conducted at one year and eight months, the child demonstrated delays in both speech and motor development. CONCLUSION: The present study is the first to report two cases of pure terminal chromosome 10p15.3 microdeletion syndrome in fetuses, offering valuable insights for the prenatal diagnosis of 10p15.3 microdeletion syndrome. Further, it is the first to describe mild clinical features, specifically limited to language impairment, in a patient with 10p15.3 microdeletion syndrome.

Female↗
PubMed2000

Differential gene expression of hepatocellular carcinoma using cDNA microarray analysis.

A cDNA microarray technique, which allows simultaneous analysis of differential expression of mRNA of over 4000 known human genes, was utilized to study the gene expression in 10 pairs of HCC and nontumorous tissues from ethnic Chinese patients in Hong Kong. A total of 211 genes were found to be highly expressed and 147 genes were downregulated in more than 1 out of 10 of the HCC pairs. The results were significant by two-tailed Wilcoxon test (P < or = 0.05 with 95% confidence) on the intensity of each DNA spot of the 10 HCC pairs. Six genes were highly expressed and 10 genes were downregulated in more than 30% of HCC pairs. Results are consistent with other published reports using traditional differential display, subtractive hybridization, or immunohistochemical staining methods. We also detected that beta-actin and glyceraldehyde 3-phosphate dehydrogenase (G3PDH), which have been commonly used as an internal standard control in mRNA expression studies, were highly expressed in HCC when compared with nontumorous tissue. It is concluded that cDNA microarray analysis is an effective method in the detection of differential gene expression in HCC.

Actins↗
PubMed2006

The effect of the stromal component of breast tumours on prediction of clinical outcome using gene expression microarray analysis.

INTRODUCTION: The aim of this study was to examine the effect of the cellular composition of biopsies on the error rates of multigene predictors of response of breast tumours to neoadjuvant adriamycin and cyclophosphamide (AC) chemotherapy. MATERIALS AND METHODS: Core biopsies were taken from primary breast tumours of 43 patients prior to AC, and subsequent clinical response was recorded. Post-chemotherapy (day 21) samples were available for 16 of these samples. Frozen sections of each core were used to estimate the proportion of invasive cancer and other tissue components at three levels. Transcriptional profiling was performed using a cDNA array containing 4,600 elements. RESULTS: Twenty-three (53%) patients demonstrated a 'good' and 20 (47%) a 'poor' clinical response. The percentage invasive tumour in core biopsies collected from these patients varied markedly. Despite this, agglomerative clustering of sample expression profiles showed that almost all biopsies from the same tumour aggregated as nearest neighbours. SAM (significance analysis of microarrays) regression analysis identified 144 genes which distinguished high- and low-percentage invasive tumour biopsies at a false discovery rate of not more than 5%. The misclassification error of prediction of clinical response using microarray data from pre-treatment biopsies (on leave-one-out cross-validation) was 28%. When prediction was performed on subsets of samples which were more homogeneous in their proportions of malignant and stromal cells, the misclassification error was considerably lower (8%-13%, p < 0.05 on permutation). CONCLUSION: The non-tumour content of breast cancer samples has a significant effect on gene expression profiles. Consideration of this factor improves accuracy of response prediction by expression array profiling. Future gene expression array prediction studies should be planned taking this into account.

Adult↗
PubMed2006

Microarray analysis of cardiovascular diseases.

Microarray analysis is a powerful technique for high-throughput, global transcriptonomic profiling of gene expression. It holds great promise for analyzing the genetic and molecular bases of cardiovascular diseases and various other complex diseases and permits the analysis of thousands of genes simultaneously, both in diseased and nondiseased tissues and/or cell lines. Microarrays or microchips are made by depositing spots of DNA or oligonucleotides representing thousands of genes on a solid support such as a coated glass surface, and can allow the comparison of gene expression patterns in any two samples. Total RNA is isolated from the tissue or cells of interest, converted to cDNA and then cRNA labeled with biotin, and hybridized to the chips. Hybridization signals are then quantified and compared among different samples. We used oligonucleotide microarrays to obtain an unbiased assessment of expression levels of thousands of genes simultaneously in normal and diseased coronary arteries. Fifty-six genes showed differential expression in atherosclerotic coronary artery tissues, and 49 of them represent new linked genes for coronary artery disease. These studies can generate novel hypotheses relating to the pathologies of disease and further studies with animal models, molecular biology, cell biology, and biochemistry will validate these hypotheses and provide novel insights into the pathogenesis of disease.

Biotin↗
PubMed2005

MARS: microarray analysis, retrieval, and storage system.

BACKGROUND: Microarray analysis has become a widely used technique for the study of gene-expression patterns on a genomic scale. As more and more laboratories are adopting microarray technology, there is a need for powerful and easy to use microarray databases facilitating array fabrication, labeling, hybridization, and data analysis. The wealth of data generated by this high throughput approach renders adequate database and analysis tools crucial for the pursuit of insights into the transcriptomic behavior of cells. RESULTS: MARS (Microarray Analysis and Retrieval System) provides a comprehensive MIAME supportive suite for storing, retrieving, and analyzing multi color microarray data. The system comprises a laboratory information management system (LIMS), a quality control management, as well as a sophisticated user management system. MARS is fully integrated into an analytical pipeline of microarray image analysis, normalization, gene expression clustering, and mapping of gene expression data onto biological pathways. The incorporation of ontologies and the use of MAGE-ML enables an export of studies stored in MARS to public repositories and other databases accepting these documents. CONCLUSION: We have developed an integrated system tailored to serve the specific needs of microarray based research projects using a unique fusion of Web based and standalone applications connected to the latest J2EE application server technology. The presented system is freely available for academic and non-profit institutions. More information can be found at http://genome.tugraz.at.

Algorithms↗
PubMedDate not supplied

Distinct site-specific oncoprotein overexpression in head and neck squamous cell carcinoma: a tissue microarray analysis.

BACKGROUND: Tissue microarray (TMA) analysis is a high-throughput approach that allows the screening of large tumor collectives for cytogenetic aberrrations. In this study, a TMA of a large collection of clinically well-defined primary squamous cell carcinomas of the head and neck (HNSCC) was used to determine the expression of several oncoproteins. MATERIALS AND METHODS: A TMA containing 547 primary HNSCC was used for the analysis of cyclinD1, c-myc, erbb1 and erbb2 expression by immunohistochemistry (IHC). RESULTS: CyclinD1 and c-myc were overexpressed at higher frequencies in primary pharyngeal and laryngeal carcinomas compared with primary oral carcinomas (p < 0.001 and p < 0.001), while erbb1 and erbb2 overexpression was associated with oral site (p < 0.001 and p = 0.04, respectively). Furthermore, cyclinD1 overexpression correlated with stage IV primary carcinomas (p = 0.04). CONCLUSION: HNSCC is a heterogenous group of tumors, which, depending on anatomic sites and clinical stage, shows variable expressions of the oncoproteins described. This indicates a specific pathogenic role of these oncoproteins in different subtypes of HNSCC and may have therapeutic implications.

Adolescent↗
PubMed2001

New molecular phenotypes in the dst mutants of Arabidopsis revealed by DNA microarray analysis.

In this study, DNA microarray analysis was used to expand our understanding of the dst1 mutant of Arabidopsis. The dst (downstream) mutants were isolated originally as specifically increasing the steady state level and the half-life of DST-containing transcripts. As such, txhey offer a unique opportunity to study rapid sequence-specific mRNA decay pathways in eukaryotes. These mutants show a threefold to fourfold increase in mRNA abundance for two transgenes and an endogenous gene, all containing DST elements, when examined by RNA gel blot analysis; however, they show no visible aberrant phenotype. Here, we use DNA microarrays to identify genes with altered expression levels in dst1 compared with the parental plants. In addition to verifying the increase in the transgene mRNA levels, which were used to isolate these mutants, we were able to identify new genes with altered mRNA abundance in dst1. RNA gel blot analysis confirmed the microarray data for all genes tested and also was used to catalog the first molecular differences in gene expression between the dst1 and dst2 mutants. These differences revealed previously unknown molecular phenotypes for the dst mutants that will be helpful in future analyses. Cluster analysis of genes altered in dst1 revealed new coexpression patterns that prompt new hypotheses regarding the nature of the dst1 mutation and a possible role of the DST-mediated mRNA decay pathway in plants.

Amino Acid Sequence↗
PubMed2007

Use of microarray analysis to dissect the plant defense response.

Microarray analysis is a technology that allows simultaneous measurement of the messenger RNA levels of thousands of genes. There are several different technology platforms in use, including oligo arrays synthesized directly on the underlying substrate, and spotted arrays produced by applying oligonucleotides or other nucleic acids to glass slides. The advantages of various platforms are discussed. Analysis of the large data sets produced from microarray experiments requires the application of statistical methods to define significant differences in gene expression, and computerized algorithms for pattern recognition. Early applications of microarray analysis to studies of disease resistance have led to recognition of the large numbers of genes that respond to infection, insights into the nature of gene-for-gene resistance, efforts to model the topology of the signaling network controlling inducible defense responses, and identification of promoter elements associated with particular expression patterns.

Algorithms↗
PubMed2006

Differential identification of Bacillus anthracis from environmental Bacillus species using microarray analysis.

AIMS: To determine whether microarray analysis could be employed for the differential identification of a range of environmental Bacillus sp. from four strains of Bacillus anthracis. METHODS AND RESULTS: Oligonucleotide probes were designed that were specific to virulence factor genes of B. anthracis (pag, lef and cap), the variable number tandem repeat region of the B. anthracis vrrA gene and to the 16S-23S rRNA intergenic transcribed spacer region (ITS) and pleiotropic regulator (plcR) regions of the Bacillus cereus subgroup species. Generic probes were also designed to hybridize with conserved regions of the 16S rRNA genes of Bacillus (as a positive control), Neisseria sp., Pseudomonas sp., Streptococcus sp., Mycobacterium sp. and to all members of the Enterobacteriaceae to allow simultaneous detection of these bacteria. Identification of B. anthracis was found to rely entirely on hybridization of DNA specific to regions of the pag, lef and cap genes. Cross-reaction was observed between B. anthracis and other Bacillus species with all the other Bacillus probes tested. Results obtained using microarray hybridizations were confirmed using conventional microbiological techniques and found to have very high comparability. CONCLUSIONS: Microarray-based assays are an effective method for the identification of B. anthracis from mixed-culture environmental samples without problems of false-positivity that have been observed with conventional PCR assays. SIGNIFICANCE AND IMPACT OF THE STUDY: Identification of environmental Bacillus sp. by conventional PCR is prone to potential for reporting false-positives. This study provides a method for the exclusion of such isolates.

Bacillus↗
PubMed2006

Mouse genomic representational oligonucleotide microarray analysis: detection of copy number variations in normal and tumor specimens.

Genomic amplifications and deletions, the consequence of somatic variation, are a hallmark of human cancer. Such variation has also been observed between "normal" individuals, as well as in individuals with congenital disorders. Thus, copy number measurement is likely to be an important tool for the analysis of genetic variation, genetic disease, and cancer. We developed representational oligonucleotide microarray analysis, a high-resolution comparative genomic hybridization methodology, with this aim in mind, and reported its use in the study of humans. Here we report the development of a representational oligonucleotide microarray analysis microarray for the genomic analysis of the mouse, an important model system for many genetic diseases and cancer. This microarray was designed based on the sequence assembly MM3, and contains approximately 84,000 probes randomly distributed throughout the mouse genome. We demonstrate the use of this array to identify copy number changes in mouse cancers, as well to determine copy number variation between inbred strains of mice. Because restriction endonuclease digestion of genomic DNA is an integral component of our method, differences due to polymorphisms at the restriction enzyme cleavage sites are also observed between strains, and these can be useful to follow the inheritance of loci between crosses of different strains.

Animals↗
PubMed2005

Microarray analysis of genes showing variable expression following a blood meal in Anopheles gambiae.

A microarray analysis of 14 900 genes of the malaria vector mosquito, Anopheles gambiae, shows that as many as 33% (4924) of their corresponding transcription products vary in abundance within 24 h after a blood meal. Approximately half (2388) of these products increase in their accumulation and the remainder (2536) decrease. Expression dynamics of 80% of the genes analysed by expressed sequence tag (EST) projects reported previously are consistent with the observations from this microarray analysis. Furthermore, the microarray analysis is more sensitive in detecting variation in abundance of gene products expressed at low levels and is more sensitive overall in that a greater number of regulated genes are detected. Major changes in transcript abundance were seen in genes encoding proteins involved in digestion, oogenesis and locomotion. The microarray data and an electronic hyperlinked version of all tables are available to the research community at http://www.angagepuci.bio.uci.edu/1/.

Animals↗
PubMed2005

Classification of human tumors using gene expression profiles obtained after microarray analysis of fine-needle aspiration biopsy samples.

BACKGROUND: Gene expression profiling using gene-discovery, high-density microarray technologies is a powerful tool. One potential application is the development of tumor classifiers that predict the site of origin. For this technology to be relevant, however, it must be applicable to tumor biopsy samples, which most often are fine-needle aspiration biopsy (FNAB) samples. METHODS: Surgically resected tumors were sampled by FNAB using different gauge needles. A portion of the excised tumor was also collected. RNA samples were extracted using standard techniques and the quality and quantity of the RNA samples were measured for each sample. Thirteen representative FNAB samples and two representative tissue samples were submitted for microarray analysis and then subjected to a tumor classifier. RESULTS: Fourteen of 18 samples analyzed for quantity and quality of RNA yielded an adequate amount of RNA (> 1 microg total RNA). Tumor type contributed to the RNA yield because one of the four inadequate samples was retrieved from a patient with lobular carcinoma of the breast and the other three samples were retrieved from patients with retroperitoneal sarcomas. Of the 13 samples submitted for microarray analysis, 9 were classified correctly as to tumor type using a tissue-based tumor classifier. CONCLUSIONS: The authors demonstrated that FNABs reproducibly obtained an adequate amount of RNA for microarray analysis when a standardized collection procedure was used. Furthermore, the samples generated interpretable gene expression profiles that could be matched accurately with a tumor classifier established on tissue specimens. The current study showed that FNAB produced adequate material for microarray analysis when utilizing a standardized collection procedure.

Biopsy, Fine-Needle↗
PubMed2005

Identification of potential biomarkers of genotoxicity and carcinogenicity in L5178Y mouse lymphoma cells by cDNA microarray analysis.

In the present study, cDNA microarray analyses were performed with mouse cDNA chips in order to evaluate similarities and differences in the gene expression profiles for compounds differing in their genotoxic and carcinogenic potential. Eight test substances were evaluated, two each from four classes of compounds: genotoxic carcinogens (1,2-dibromoethane and glycidol), genotoxic noncarcinogens (8-hydroxyquinoline and emodin), nongenotoxic carcinogens (methyl carbamate and o-nitrotoluene), and nongenotoxic noncarcinogens (D-mannitol and 1,2-dichlorobenzene). Quadruplicate hybridization experiments were performed in order to identify a set of genes with significant expression changes for these four classes of substances. Twelve genes were consistently altered more than twofold by the genotoxic noncarcinogens while four genes were consistently regulated by the nongenotoxic carcinogens. One gene (Trp63) was identified whose expression was upregulated by all four genotoxic substances regardless of the presence or absence of carcinogenicity; this finding, however, was not confirmed by quantitative real-time RT-PCR. RT-PCR did confirm the change in expression of 9 of 15 genes (60%) identified by microarray analysis. Interestingly, the downregulated genes were least likely to be validated by real-time RT-PCR. Those genes showing more than a twofold change in expression level in response to at least one substance were further analyzed with hierarchical clustering after category assignment of each gene according to its main cellular function. Clustering revealed differences in the gene expression profiles between the genotoxic and nongenotoxic substances for genes involved in cell cycle control, the stress response, and the immune response. However, no clustering specific to all four carcinogenic substances was observed in any of the functional categories. Taken together, these results suggest that gene expression profiling in mouse lymphoma cells can provide valuable information for the evaluation of potential genotoxicity but may have limitations in predicting carcinogenicity.

Animals↗
PubMed2006

Exploring the molecular basis of tumor metastasis by microarray analysis.

Over the past decade, microarray technology has become a powerful tool to provide a genome-wide view of genetic or epigenetic changes associated with tumor metastasis. To extract biologically meaningful information from the vast amounts of microarray data, it is crucial to choose suitable biological systems and have vigilant experimental design. In this review, I will discuss several experimental systems that are used to identify genes involved in tumor metastasis by microarray analysis. Also highlighted are the pros and cons for each system. In particular, I will describe our experience of using microarray technology to identify the transcription factor Twist as an essential player in tumor metastasis.

Animals↗
PubMed2004

Optimized procedures for microarray analysis of histological specimens processed by laser capture microdissection.

Analysis of cell-specific gene expression patterns using microarrays can reveal genes that are differentially expressed in diseased and normal tissue, as well as identify genes associated with specialized cellular functions. However, the cellular heterogeneity of the tissues precludes the resolution of expression profiles of specific cell types. While laser capture microdissection (LCM) can be used to obtain purified cell populations, the limited quantity of RNA isolated makes it necessary to perform an RNA amplification step prior to microarray analysis. The linearity and reproducibility of two RNA amplification protocols--the Baugh protocol (Baugh et al., 2001, Nucleic Acids Res 29:E29) and an in-house protocol have been assessed by conducting microarray analyses. Cy3-labeled total RNA from the colorectal cell line Colo-205 was compared to Cy5-labeled Colo-205 amplified RNA (aRNA) generated with each of the two protocols, using a human 10K cDNA array. The correlation of the gene intensities between amplified and total RNA measured in the two channels of each microarray was 0.72 and 0.61 for the Baugh protocol and the in-house protocol, respectively. The two protocols were further evaluated using aRNA obtained from normal colonic crypt cross-sections isolated via LCM. In both cases a microarray profile representative of colonic mucosa was obtained; statistically, the Baugh protocol was superior. Furthermore, a substantial overlap between highly expressed genes in the Colo-205 cells and colonic crypts underscores the reliability of the microarray analysis of LCM-derived material. Taken together, these results demonstrate that LCM-derived tissue from histological specimens can generate abundant amounts of high-quality aRNA for subsequent microarray analysis.

Cell Line, Tumor↗