Development of a toxicological gene array and quantitative assessment of this technology

High-density arrays of DNA bound to solid substrates offer a powerful approach to identifying changes in gene expression in response to toxicants. While DNA arrays have been used to explore qualitative changes in gene regulation, less attention has focused on the quantitative aspects of this technology. Arrays containing expressed sequence tags for xenobiotic metabolizing enzymes, proteins associated with glutathione regulation, DNA repair enzymes, heat shock proteins, and housekeeping genes were used to examine gene expression in response to beta-naphthoflavone (beta-NF). Upregulation of cytochrome P4501a1 (Cyp1a1) and 1a2 in mouse liver was maximal 8 h after beta-NF administration. Significant upregulation of Cyp1a2 was noted at beta-NF doses as low as 0.62 and 1.2 mg/kg when gene expression was measured by microarray or Northern blotting, respectively. Maximal Cyp1a2 induction is 5-fold by Northern analysis and 10-fold by microarray. Induction of Cyp1a1 was 15- and 20-fold by Northern and microarray analysis, respectively. The coefficient of variation for spot to spot and slide to slide comparisons was <15%; this variability was smaller than interanimal variability (18-60%). Comparison of mRNA expression in control animals indicated that there are differences in labeling/detection associated with Cy3/Cy5 dyes; accordingly, experiments must include methods for establishing baseline signals for all genes. We conclude that the dynamic range and sensitivity of DNA microarrays on glass slides is comparable to Northern blotting analysis and that variability of the data introduced during spotting and hybridization is less than the interanimal variability.     

Tissue-specific gene expression in soybean (Glycine max) detected by cDNA microarray analysis

We have constructed cDNA microarrays for soybean (Glycine maxL. Merrill), containing approximately 4,100 Unigene ESTs derived from axenic roots, to evaluate their application and utility for functional genomics of organ differentiation in legumes. We assessed microarray technology by conducting studies to evaluate the accuracy of microarray data and have found them to be both reliable and reproducible in repeat hybridisations. Several ESTs showed high levels (50 fold) of differential expression in either root or shoot tissue of soybean. A small number of physiologically interesting, and differentially expressed sequences found by microarray analysis were verified by both quantitative real-time RT-PCR and Northern blot analysis. There was a linear correlation (r² = 0.99, over 5 orders of magnitude) between microarray and quantitative real-time RT-PCR data. Microarray analysis of soybean has enormous potential not only for the discovery of new genes involved in tissue differentiation and function, but also to study the expression of previously characterised genes, gene networks and gene interactions in wild-type, mutant or transgenic plants.     

Analysis of the pattern of gene expression during human adipogenesis by DNA microarray

High density DNA microarrays containing over 5000 cDNA clones were used to carry out a comprehensive investigation of gene expression during adipogenesis. Complex probes synthesized from total RNA were hybridized to the arrays to determine the level of mRNA expression of each arrayed gene. Thirty three genes (29 known and 4 ESTs with no identified homologies) have been found to alter their level of expression more than 2.5-fold after differentiation. The quantitative measurement by DNA array was in good agreement with conventional Northern blot analysis of selected genes. Our results demonstrate that utilization of a DNA array is a speedy, efficient and quantitative approach to profile the expression of a large number of genes.     

Genomic DNA as a cohybridization standard for mammalian microarray measurements

A persistent design problem for ratiometric microarray studies is selecting the ‘denominator’ RNA cohybridization standard. The ideal standard should be readily available, inexpensive, invariant over time and from laboratory to laboratory, and should represent all genes with a uniform signal. RNA references (both commercial ‘universal’ and experiment- specific types), fall short of these goals. We show here that mouse genomic DNA is a reliable microarray cohybridization standard which can meet these criteria. Genomic DNA was superior in universality of coverage (>98% of genes from a 16 000 feature mouse 70mer microarray) to the Stratagene Universal Mouse Reference RNA standard. Ratios for genes in very low abundance in the Stratagene standard were more unstable with the Stratagene standard than with genomic DNA. Genes with mid-range, and therefore presumably optimal RNA denominator values, showed comparable reproducibility with both standards. Inferred ratios made between two different experimental RNAs using a genomic DNA standard were found to correlate well with companion, directly measured ratios (Spearman correlation coefficient = 0.98). The advantage in array feature coverage of genomic DNA will likely increase as newer generation microarrays include genes which are expressed exclusively in minor tissue or developmental domains that are not represented in mixed tissue RNA standards.     

Amine-modified random primers to label probes for DNA microarrays

DNA microarrays have been used to study the expression of thousands of genes at the same time in a variety of cells and tissues. The methods most commonly used to label probes for microarray studies require a minimum of 20 microg of total RNA or 2 microg of poly(A) RNA. This has made it difficult to study small and rare tissue samples. RNA amplification techniques and improved labeling methods have recently been described. These new procedures and reagents allow the use of less input RNA, but they are relatively time-consuming and expensive. Here we introduce a technique for preparing fluorescent probes that can be used to label as little as 1 microg of total RNA. The method is based on priming cDNA synthesis with random hexamer oligonucleotides, on the 5' ends of which are bases with free amino groups. These amine-modified primers are incorporated into the cDNA along with aminoallyl nucleotides, and fluorescent dyes are then chemically added to the free amines. The method is simple to execute, and amine-reactive dyes are considerably less expensive than dye-labeled bases or dendrimers.     

The Methodology Used to Measure Differential Gene Expression Affects the Outcome

Confirmation of gene expression by a second methodology is critical in order to detect false-positive findings associated with microarrays. However, the impact of methodology upon the measurement of gene expression has not been rigorously evaluated. In the current study, we compared differential gene expression between PC3 and PC3-M human prostate cancer cell lines using three separate methods: microarray, quantitative RT/PCR (qRT/PCR), and Northern blotting. The PC3 to PC3-M ratio of gene expression was determined for each of 24 different genes evaluated, by each of the three methods. Comparison of gene expression ratios between Northern and microarray, Northern and qRT/PCR, and microarray and qRT/PCR, gave correlation coefficients (r) of 0.72, 0.39, and 0.63, respectively. In each instance, one to two outlier genes were apparent. Their exclusion from analysis gave r values of 0.79, 0.72, and 0.83, respectively. These findings demonstrate that the assessment of differential gene expression is dependent upon the methodology used in each situation where outcome between different methodologies was compared, the presence of a relatively limited number of outlier genes precludes high overall correlation between the methods. Validation of gene expression by different methods should be performed whenever possible.     

Detection of bacterial pathogens in municipal wastewater using an oligonucleotide microarray and real-time quantitative PCR

As a first step toward building a comprehensive microarray, two low density DNA microarrays were constructed and evaluated for the accurate detection of wastewater pathogens. The first one involved the direct hybridization of wastewater microbial genomic DNA to the functional gene probes while the second involved PCR amplification of 23S ribosomal DNA. The genomic DNA microarray employed 10 functional genes as detection targets. Sensitivity of the microarray was determined to be approximately 1.0 microg of Esherichia coli genomic DNA, or 2 x 10(8) copies of the target gene, and only E. coli DNA was detected with the microarray assay using municipal raw sewage. Sensitivity of the microarray was enhanced approximately by 6 orders of magnitude when the target 23S rRNA gene sequences were PCR amplified with a novel universal primer set and allowed hybridization to 24 species-specific oligonucleotide probes. The minimum detection limit was estimated to be about 100 fg of E. coli genomic DNA or 1.4 x 10(2) copies of the 23S rRNA gene. The PCR amplified DNA microarray successfully detected multiple bacterial pathogens in wastewater. As a parallel study to verify efficiency of the DNA microarray, a real-time quantitative PCR assay was also developed based on the fluorescent TaqMan probes (Applied Biosystems).     

Possible implication of ciliary neurotrophic factor (CNTF) and beta-synuclein in the ammonia effect on cultured rat astroglial cells: a study using DNA and protein microarrays

Astrocytes are considered the key cell in hepatic encephalopathy; although their precise role in the disease has not yet been determined, exposure to ammonia appears to have an important pathogenic effect. We exposed confluent cultures of rat astroglial cells to ammonia (5 mM NH₄Cl) for 1, 3, 5 and 7 days, and determined astroglial levels of actin, glial fibrillary acidic protein (GFAP), glutamine synthetase (GS), GLAST glutamate transporter, 25 kDa heat-shock protein (HSP25), HSP60 and HSP70 by Western blot; the glutamine content in culture medium was measured by mass spectrometry. Significant increases were observed for GS, HSP60 and glutamine, and significant reductions for actin and GFAP.

Astrocytes exposed to ammonia for 4 days were used to analyze the effect of ammonia in protein and DNA microarrays. After protein microarray data filtration by signal intensity, x-fold change and z-score, 11 proteins were selected, among which the significant increase in β-synuclein was confirmed by Western blot. DNA microarray data filtration by intensity signal, x-fold change and p-value selected almost 600 genes. The significant increase in -synuclein mRNA was confirmed by quantitative RT-PCR, but no change was observed in -synuclein protein levels. A notable decrease in ciliary neurotrophic factor (CNTF) was demonstrated by Western blot after ammonia treatment, concurring with the reduction in CNTF mRNA observed in DNA microarrays. We discuss the possibility of a pathogenic role for CNTF and a protective role for β-synuclein in experimental hyperammonemia. This study demonstrates the use of microarrays as tools to ascertain the possible implication of previously unidentified proteins in the pathogenesis of hepatic encephalopathy.     

DNA芯片技术中利用内标对数据归一化后检测基因的表达变化

在DNA芯片技术中 ,通过反转录反应 ,由mRNA合成带有荧光标记物的cDNA的过程中 ,往往要参入已知质量的poly(A) + RNA ,以对DNA芯片的检测灵敏度进行归一化处理 .通过体外转录的方法 ,以真核生物的cDNA克隆中的DNA片段为模板合成poly(A) +RNA ,对之定量后 ,以不同的质量比参入到样品的反转录体系中 ,代表不同的RNA拷贝丰度 ,从而对DNA芯片检测的灵敏度进行了定量 ,并得到DNA芯片上杂交点的荧光信号强度与基因表达的RNA拷贝数成正相关的关系 .利用含有内标的DNA芯片检测了热击反应后酵母细胞的基因表达变化 ,结果与Northern印迹方法检测结果是相符的     

Evolutionary conservation of expression profiles between human and mouse orthologous genes

Mouse models are often used to study human genes because it is believed that the expression and function are similar for the majority of orthologous genes between the two species. However, recent comparisons of microarray data from thousands of orthologous human and mouse genes suggested rapid evolution of gene expression profiles under minimal or no selective constraint. These findings appear to contradict non-array-based observations from many individual genes and imply the uselessness of mouse models for studying human genes. Because absolute levels of gene expression are not comparable between species when the data are generated by species-specific microarrays, use of relative mRNA abundance among tissues (RA) is preferred to that of absolute expression signals. We thus reanalyze human and mouse genome-wide gene expression data generated by oligonucleotide microarrays. We show that the mean correlation coefficient among expression profiles detected by different probe sets of the same gene is only 0.38 for humans and 0.28 for mice, indicating that current measures of expression divergence are flawed because the large estimation error (discrepancy in expression signal detected by different probe sets of the same gene) is mistakenly included in the between-species divergence. When this error is subtracted, 84% of human-mouse orthologous gene pairs show significantly lower expression divergence than that of random gene pairs. In contrast to a previous finding, but consistent with the common sense, expression profiles of orthologous tissues between species are more similar to each other than to those of nonorthologous tissues. Furthermore, the evolutionary rate of expression divergence and that of coding sequence divergence are found to be weakly, but significantly positively correlated, when RA and the Euclidean distance are used to measure expression-profile divergence. These results highlight the importance of proper consideration of various estimation errors in comparing the microarray data between species.     

Identification of novel universal housekeeping genes by statistical analysis of microarray data

Housekeeping genes are widely used as internal controls in a variety of study types, including real time RT-PCR, microarrays, Northern analysis and RNase protection assays. However, even commonly used housekeeping genes may vary in stability depending on the cell type or disease being studied. Thus, it is necessary to identify additional housekeeping-type genes that show sample-independent stability. Here, we used statistical analysis to examine a large human microarray database, seeking genes that were stably expressed in various tissues, disease states and cell lines. We further selected genes that were expressed at different levels, because reference and target genes should be present in similar copy numbers to achieve reliable quantitative results. Real time RT-PCR amplification of three newly identified reference genes, CGI-119, CTBP1 and GOLGAl, alongside three well-known housekeeping genes, B2M, GAPD, and TUBB, confirmed that the newly identified genes were more stably expressed in individual samples with similar ranges. These results collectively suggest that statistical analysis of microarray data can be used to identify new candidate housekeeping genes showing consistent expression across tissues and diseases. Our analysis identified three novel candidate housekeeping genes (CGI-119, GOLGA1, and CTBP1) that could prove useful for normalization across a variety of RNA-based techniques.