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Optimization of fragmentation conditions for microarray analysis of viral RNA.

An important consideration in microarray analysis of nucleic acids is the efficiency with which the target molecule is captured by, or hybridized to, surface-immobilized oligos. For RNA, secondary and tertiary structure of the target strand can significantly decrease capture efficiency. To overcome this limitation, RNA is often fragmented to reduce structural effects. In this study, the metal ion-catalyzed base hydrolysis fragmentation conditions for viral RNA extracted from influenza viruses were evaluated and the hybridization efficiency of the resulting fragments was determined as a function of fragment length. The amount of RNA captured was evaluated qualitatively by fluorescence intensity normalized to an internal standard. Optimized conditions for influenza RNA were determined to include a fragmentation time of 20-30 min at 75 degrees C. These conditions resulted in a maximum concentration of fragments between 38 and 150 nt in length and a maximum in the capture and label efficiency.

Base Sequence↗

DNA microarray analysis of Bacillus subtilis sigma factors of extracytoplasmic function family.

Target gene candidates of the seven extracytoplasmic function (ECF) sigma factors of Bacillus subtilis have been surveyed using DNA microarray analysis of mRNA extracted from cells grown in Luria-Bertani broth, in which an ECF sigma factor gene was placed under the control of the spac promoter on multicopy plasmid pDG148 and overexpressed. The number of target candidates for each of the sigma factors varied greatly, and a total of 278 genes were selected. Interestingly, the above target gene candidates shared only one gene out of 94 target genes of the general stress sigma B that have been reported in the literature thus far. Furthermore, lacZ-fusion experiments based on the results of DNA microarray analysis indicated that each ECF sigma factor directs transcription of its own operon, with the exception of sigZ. The DNA microarray data collected in this study are available at the KEGG Expression Database web site (http://www.genome.ad.jp/kegg/expression/).

Bacillus subtilis↗

Applications of Bayesian statistical methods in microarray data analysis.

Microarray technology allows one to measure gene expression levels simultaneously on the whole-genome scale. The rapid progress generates both a great wealth of information and challenges in making inferences from such massive data sets. Bayesian statistical modeling offers an alternative approach to frequentist methodologies, and has several features that make these methods advantageous for the analysis of microarray data. These include the incorporation of prior information, flexible exploration of arbitrarily complex hypotheses, easy inclusion of nuisance parameters, and relatively well developed methods to handle missing data. Recent developments in Bayesian methodology generated a variety of techniques for the identification of differentially expressed genes, finding genes with similar expression profiles, and uncovering underlying gene regulatory networks. Bayesian methods will undoubtedly become more common in the future because of their great utility in microarray analysis.

Bayes Theorem↗

Microarray analysis in human hepatocytes suggests a mechanism for hepatotoxicity induced by trovafloxacin.

Idiosyncratic drug toxicity, defined as toxicity that is dose independent, host dependent, and usually cannot be predicted during preclinical or early phases of clinical trials, is a particularly confounding complication of drug development. An understanding of the mechanisms that lead to idiosyncratic liver toxicity would be extremely beneficial for the development of new compounds. We used microarray analysis on isolated human hepatocytes to understand the mechanisms underlying the idiosyncratic toxicity induced by trovafloxacin. Our results clearly distinguish trovafloxacin from other marketed quinolone agents and identify unique gene changes induced by trovafloxacin that are involved in mitochondrial damage, RNA processing, transcription, and inflammation that may suggest a mechanism for the hepatotoxicity induced by this agent. In conclusion, this work establishes the basis for future microarray analysis of new compounds to determine the presence of these expression changes and their usefulness in predicting idiosyncratic hepatotoxicity. Supplementary material for this article can be found on the HEPATOLOGY website (http://interscience. Wiley.com/jpages/0270-9139/suppmat/index.htnd).

Animals↗

Proliferation potential-related protein, an ideal esophageal cancer antigen for immunotherapy, identified using complementary DNA microarray analysis.

PURPOSE: To establish effective antitumor immunotherapy for esophageal cancer, we tried to identify an useful target antigen of esophageal cancer. EXPERIMENTAL DESIGN: We did cDNA microarray analysis to find a novel candidate antigen, proliferation potential-related protein (PP-RP). We examined cytotoxicity against tumor cells in vitro and in vivo of CTLs specific to PP-RP established from esophageal cancer patients. RESULTS: In 26 esophageal cancer tissues, an average of relative ratio of the expression of the PP-RP mRNA in cancer cells versus adjacent normal esophageal tissues was 396.2. Immunohistochemical analysis revealed that, in 20 of the 22 esophageal cancer tissues, PP-RP protein was strongly expressed only in the cancer cells and not so in normal esophageal epithelial cells. PP-RP protein contains 10 epitopes recognized by HLA-A24-restricted CTLs. These CTLs, generated from HLA-A24-positive esophageal cancer patients, had cytotoxic activity against cancer cell lines positive for both PP-RP and HLA-A24. Furthermore, adoptive transfer of the PP-RP-specific CTL line inhibited the growth of a human esophageal cancer cell line engrafted in nude mice. CONCLUSIONS: The expression of PP-RP in esophageal cancer cells was significantly higher than in normal cells, and the CTLs recognizing PP-RP killed tumor cells in vitro and also showed tumor rejection effects in a xenograft model. Therefore, PP-RP may prove to be an ideal tumor antigen useful for diagnosis and immunotherapy for patients with esophageal cancer. cDNA microarray analysis is a useful method to identify ideal tumor-associated antigens.

Adult↗

Variation in Xi chromatin organization and correlation of the H3K27me3 chromatin territories to transcribed sequences by microarray analysis.

The heterochromatin of the inactive X chromosome (Xi) is organized into nonoverlapping bands of trimethylated lysine-9 of histone H3 (H3K9me3) and trimethylated lysine-27 of histone H3 (H3K27me3). H3K27me3 chromatin of the Xi is further characterized by ubiquitylated H2A and H4 monomethylated at lysine-20. A detailed examination of the metaphase H3K9me3 pattern revealed that banding along the chromosome arms is not a consistent feature of the Xi in all cell lines, but instead is generally restricted to the centromere and telomeres. However, H3K9me3 does form a reproducible band centered at Xq13 of the active X. In contrast, H3K27me3 banding is a feature of all Xi, but the precise combination and frequency of bands is not consistent. One notable exception is a common band at Xq22-23 that spans 12-15 Mb. The detailed examination of the chromatin territory by microarray analysis refined the H3K27me3 band as well as revealed numerous less extensive clusters of H3K27me3 signals. Furthermore, the microarray analysis indicates that H3K27me3 bands are directly correlated with gene density. The reexamination of the chromosome wide banding indicates that other major H3K27me3 bands closely align with regions of highest gene density.

Cell Line↗

Standardization of protocols in cDNA microarray analysis.

Systematic variations can occur at various steps of a cDNA microarray experiment and affect the measurement of gene expression levels. Accepted standards integrated into every cDNA microarray analysis can assess these variabilities and aid the interpretation of cDNA microarray experiments from different sources. A universally applicable approach to evaluate parameters such as input and output ratios, signal linearity, hybridization specificity and consistency across an array, as well as normalization strategies, is the utilization of exogenous control genes as spike-in and negative controls. We suggest that the use of such control sets, together with a sufficient number of experimental repeats, in-depth statistical analysis and thorough data validation should be made mandatory for the publication of cDNA microarray data.

DNA, Complementary↗

Microarray analysis of differentially expressed genes in mouse bone marrow tissues after ionizing radiation.

PURPOSE: To identify differentially expressed genes in mouse bone marrow involved in radiation-induced injury. MATERIALS AND METHODS: Microarray analysis was used to identify the differentially expressed genes and other techniques, e.g., polymerase chain reaction (PCR), western-blotting and antisense were also used to validate the results. RESULTS: DNA microarray analysis demonstrated that the mRNA of 34 genes increased and 69 genes decreased in mouse bone marrow cells (BMC) from C57BL mice 6 h after a whole body dose of 6.5 Gy. These differentially expressed genes were involved in a number of processes including DNA replication/repair, proliferation/apoptosis, cell cycle control and RNA processing. In these experiments, a decline of the mammalian homolog Sir2a (an acronym for the silent mating type information regulation 2 homolog [SIRT1]) mRNA accompanied by an increase of P53 protein acetylation was observed in irradiated BMC. To determine whether the reduced SIRT1 is related to the higher acetylation status of P53 after irradiation, we designed and synthesized antisense oligonucleotides (AS) targeting human SIRT1 mRNA. Notably, AS transfection increased tumor protein 53 (P53) protein acetylation and bax-luciferase activity in human bone marrow stromal cell line (HS-5) after radiation. Furthermore, the AS transfer stimulated cell apoptosis in post-irradiation HS-5 cells. CONCLUSION: Ionizing radiation (IR) affects the expression of a series of genes including genes involved in G1/S transition and the P53 pathway. Among those, reduction of SIRT1 was seen to be involved in transactivation of P53.

Animals↗

Identification of early salt stress response genes in tomato root by suppression subtractive hybridization and microarray analysis.

High salinity is one of the most serious threats to crop production. To understand the molecular basis of plant responses to salt stress better, suppression subtractive hybridization (SSH) and microarray approaches were combined to identify the potential important or novel genes involved in the early stage of tomato responses to severe salt stress. First, SSH libraries were constructed for the root tissue of two cultivated tomato (Solanum lycopersicum) genotypes: LA2711, a salt-tolerant cultivar, and ZS-5, a salt-sensitive cultivar, to compare salt treatment and non-treatment plants. Then a subset of clones from these SSH libraries were used to construct a tomato cDNA array and microarray analysis was carried out to verify the expression changes of this set of clones upon a high concentration of salt treatment at various time points compared to the corresponding non-treatment controls. A total of 201 non-redundant genes that were differentially expressed upon 30 min of severe salt stress either in LA2711 or ZS-5 were identified from microarray analysis; most of these genes have not previously been reported to be associated with salt stress. The diversity of the putative functions of these genes indicated that salt stress resulted in a complex response in tomato plants.

Cell Wall↗

Application of deoxyribonucleic acid microarray analysis to the study of azole antifungal resistance in Candida albicans.

The near completion of sequencing the Candida albicans genome has made it possible to employ genomic technologies, such as microarray analysis, to aid in identifying key genes involved in such clinical problems as the acquisition of high-level resistance to azole antifungal agents. Here, we outline in detail the methodologies utilized in our laboratory to culture clinical isolates of C. albicans, isolate ribonucleic acid from such cultures, synthesize labeled complimentary deoxyribonucleic acid probes from the ribonucleic acid samples, hybridize the probes to microarray chips, analyze the data from such hybridizations, and validate results using reverse transcriptase-polymerase chain reactions. Microarray analysis gives researchers the ability to identify genes involved in processes such as acquisition of azole resistance and to use the data in a way that may lead to clinical approaches to inactivate these genes and improve patient outcomes.

Antifungal Agents↗

Advantages of mRNA amplification for microarray analysis.

Expanding applications of cDNA microarrays such as fine needle aspiration biopsy and laser capture microdissection necessitate the ability to perform arrays with minute starting amounts of RNA. While methods for amplifying RNA have been advocated, the fidelity of array results using amplified material has not been fully validated. Here we demonstrate preserved fidelity in arrays using one or two rounds of mRNA amplification, validated by downstream real-time quantitative PCR. In addition, the quality of the array data was superior to that obtained using total RNA. Based on these results, we recommend routine mRNA amplification for all cDNA microarray-based analysis of gene expression.

Animals↗

The use of microarray analysis to determine the gene expression profiles of Mycobacterium tuberculosis in response to anti-bacterial compounds.

The response of Mycobacterium tuberculosis to six anti-microbial agents was determined by microarray analysis in an attempt to define mechanisms of innate resistance in M. tuberculosis. The gene expression profiles of M. tuberculosis after treatment at the minimal inhibitory concentration (MIC) for 4 h with isoniazid, isoxyl, tetrahydrolipstatin, SRI#221, SR1#967 and SR1#9190 were compared to untreated M. tuberculosis. A common response to drug exposure was defined, and this expression profile overlapped with a number of other mycobacterial stress responses recently identified by microarray analysis. Compound-specific responses were also distinguished including a number of putative transcriptional regulators and translocation-related genes. These genes may contribute to the intrinsic resistance of M. tuberculosis to anti-microbial compounds. Further investigation into these mechanisms may elucidate novel pathways contributing to mycobacterial drug resistance and influence anti-mycobacterial drug development strategies.

Antitubercular Agents↗

DNA microarray analysis of cortical gene expression during early recirculation after focal brain ischemia in rat.

Focal brain ischemia is followed by changes in gene expression as reflected by altered mRNA levels. DNA microarray analysis can be used to survey thousands of genes for differential expression triggered by ischemic metabolic stress. In this study, Sprague-Dawley rats were subjected to 2 h of middle cerebral artery occlusion (MCAO) using an intravascular poly-L-lysine-coated filament, and brains were removed after 3 h of recirculation for mRNA isolation. A differential measurement of mRNAs from post-ischemic and sham control animals was performed using the Mouse UniGene 1 microarray. Established values for differential expression were used (> or =1.7 or < or =-1.7 fold), and hits (n=2-3 arrays) divided into known 'ischemia-hypoxia response' genes and 'newly connected' annotated genes. n=28 ischemia-hypoxia response genes were up-regulated and n=6 were down-regulated. Regulated genes comprised immediate early genes, heat shock proteins, anti-oxidative enzymes, trophic factors, and genes involved in RNA metabolism, inflammation and cell signaling. Based on the ability of the microarray to replicate known changes in gene expression, n=35 newly connected genes were found up-regulated and n=41 down-regulated. DNA microarray analysis allows one to develop novel working hypotheses for responses to brain ischemia based on the regulation of annotated genes.

Animals↗

Identification of potential biomarkers of lymph node metastasis in oral squamous cell carcinoma by cDNA microarray analysis.

We surveyed the expression of 557 cancer-related genes in 15 cases of well-differentiated OSCC by cDNA microarray analysis. To identify potential biomarkers for lymph node metastasis, all microarray data were compared by the Mann-Whitney test and the significance analysis of microarrays between OSCCs with and those without lymph node metastasis. The tissues of OSCCs with lymph node metastasis exhibited increased expression levels of MMP-1, MMP-3, uPA, integrin-alpha3, paxillin, tenascin C and IL-6 transcripts. All of these genes were included in common clusters on the Cluster/TreeView analysis, implying that functional gene groups of proteolytic enzymes and integrin-related molecules are involved in cervical lymph node metastasis. The results of RTQ-PCR for differentially expressed genes were in accord with those of cDNA microarray analyses, suggesting that the data obtained by microarray gene expression analyses were valid. Consistent with cooperative expression patterns, immunohistochemical analyses demonstrated that products of MMP-1, MMP-3 and uPA were colocalized to components of the neoplastic stroma, particularly mononuclear inflammatory cells with well-developed eosinophilic cytoplasm. Our results suggest that expression levels of molecules involved in tissue remodeling and cell-ECM adhesion, especially MMP-1 and integrin-alpha3, can provide an accurate biomarker system for predicting the risk of cervical lymph node metastasis in OSCC.

Biomarkers, Tumor↗

CDNA microarray analysis of chronic myeloid leukemia.

A series of expression microarray analyses of chronic myeloid leukemia (CML) by means of complementary DNA microarray representing a set of 1024 human genes were initiated to evaluate the role of expression microarray analysis in CML and to identify CML-associated genes. Among the target genes, 388 differentially expressed genes were identified. In 2 cases the expression level of 74 to 91 genes and in 3 cases that of 45 genes differed between the normal control and CML cells. Results of analysis of messenger RNA profiles indicated that 19 of 45 differentially expressed genes were up-regulated whereas others were down-regulated. The expression profile included oncogenes, tumor suppression genes, and human genes encoding proteins involved in the functions of transcription, signal transduction, metabolism, cell growth, differentiation, and apoptosis. The function of the immune system also was observed. Identification of these genes allows a quantitative view of the changes that accompany CML at the genomic level and enables deeper insights into the molecular basis of the disease.

Adult↗

Identification of CRYM as a candidate responsible for nonsyndromic deafness, through cDNA microarray analysis of human cochlear and vestibular tissues.

Through cDNA microarray analysis of gene expression in human cochlea and vestibule, we detected strong expression of mu-crystallin (CRYM; also known as "NADP-regulated thyroid hormone-binding protein") only in these inner-ear tissues. In a subsequent search for mutations of CRYM, among 192 patients with nonsyndromic deafness, we identified two mutations at the C-terminus; one was a de novo change (X315Y) in a patient with unaffected parents, and the other was a missense mutation (K314T) that segregated dominantly in the proband's family. When the mutated proteins were expressed in COS-7 cells, their subcellular localizations were different from that of the normal protein: the X315Y mutant showed vacuolated distribution in the cytoplasm, and the K314T mutant localized in perinuclear areas, whereas normal protein was distributed homogeneously in the cytoplasm. Aberrant intracellular localization of the mutated proteins might cause dysfunction of the CRYM product and result in hearing impairment. In situ hybridization analysis using mouse tissues indicated its expression in the lateral region of the spiral ligament and the fibrocytes of the spiral limbus, implying its possible involvement in the potassium-ion recycling system. Our results strongly implicate CRYM in normal auditory function and identify it as one of the genes that can be responsible for nonsyndromic deafness.

Amino Acid Sequence↗

cDNA microarray analysis of developing grape (Vitis vinifera cv. Shiraz) berry skin.

Microarray analysis of Vitis vinifera cv. Shiraz developing berries has revealed the expression patterns of several categories of genes. Microarray slides were constructed from 4,608 PCR-amplified cDNA clones derived from a ripening grape berry cDNA library. The mRNA expression levels of the genes represented by these cDNAs were measured in flowers, week 2 post-flowering whole berries, week 5, week 8, week 10 (véraison, green berries), week 12 and week 13 berry skin. In addition, a comparison of RNA expression in pigmented and unpigmented berry skin at véraison (week 10) was undertaken. Image and statistical analysis revealed four sets of genes with distinctive and similar expression profiles over the course of berry development. The first set was composed of genes which had maximum RNA expression in flowers, followed by a steady decrease in expression. The most prominent group within this set were genes which have a role in photosynthesis. The second set of cDNAs was dominated by genes involved in flavonoid biosynthesis and had a peak of expression week 2 post-flowering. The data indicate co-ordinate regulation of flavonoid biosynthetic genes which code for the enzymes 4-coumarate-CoA ligase, chalcone synthase, chalcone isomerase, flavonone hydroxylase, anthocyanidin reductase and cytochrome b5. The third set of cDNAs exhibited maximum expression week 5 post-flowering, midway between flowering and véraison, a period of rapid berry growth. This set of cDNAs is dominated by genes which code for structural cell wall proteins. The fourth set of genes was dramatically up-regulated at véraison and remained up-regulated until 13 weeks post-flowering. This set of genes was composed of a diverse range of genes, a reflection of the complexity of ripening, most with no known function.

Carbohydrate Metabolism↗

cDNA microarray analysis of differential gene expression in Candida albicans biofilm exposed to farnesol.

Candida albicans biofilms are structured microbial communities with high levels of drug resistance. Farnesol, a quorum-sensing molecule that inhibits hyphal formation in C. albicans, has been found to prevent biofilm formation by C. albicans. There is limited information, however, about the molecular mechanism of farnesol against biofilm formation. We used cDNA microarray analysis to identify the changes in the gene expression profile of a C. albicans biofilm inhibited by farnesol. Confocal scanning laser microscopy was used to visualize and confirm normal and farnesol-inhibited biofilms. A total of 274 genes were identified as responsive, with 104 genes up-regulated and 170 genes down-regulated. Independent reverse transcription-PCR analysis was used to confirm the important changes detected by microarray analysis. In addition to hyphal formation-associated genes (e.g., TUP1, CRK1, and PDE2), a number of other genes with roles related to drug resistance (e.g., FCR1 and PDR16), cell wall maintenance (e.g., CHT2 and CHT3), and iron transport (e.g., FTR2) were responsive, as were several genes encoding heat shock proteins (e.g., HSP70, HSP90, HSP104, CaMSI3, and SSA2). Further study of these differentially regulated genes is warranted to evaluate how they may be involved in C. albicans biofilm formation. Consistent with the down-regulation of the cell surface hydrophobicity-associated gene (CSH1), the water-hydrocarbon two-phase assay showed a decrease in cell surface hydrophobicity in the farnesol-treated group compared to that in the control group. Our data provide new insight into the molecular mechanism of farnesol against C. albicans biofilm formation.

Biofilms↗