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Reliability of gene expression ratios for cDNA microarrays in multiconditional experiments with a reference design.

ABSTRACT: In a typical gene expression profiling experiment with multiple conditions, a common reference sample is used for co-hybridization with the samples to yield expression ratios. Differential expression for any other sample pair can then be calculated by assembling the ratios from their hybridizations with the reference. In this study we test the validity of this approach. Differential expression of a sample pair (i, j) was obtained in two ways: directly, by hybridizations of sample i versus j, and indirectly, by multiplying the expression ratios for hybridizations of sample i versus pool and pool versus sample j. We performed gene expression profiling using amphibian embryos (Xenopus laevis). Every sample combination of four different stages and a pool was profiled. Direct and indirect values were compared and used as the quality criterion for the data. Based on this criterion, 82% of all ratios were found to be sufficiently accurate. To increase the reliability of the signals, several widely used filtering techniques were tested. Filtering by differences of repeated hybridizations was found to be the optimal filter. Finally, we compared microarray-based gene expression profiles with the corresponding expression patterns obtained by whole-mount in situ hybridizations, resulting in a 90% correspondence.

SUBMITTER: Konig R

PROVIDER: S-EPMC373422 | biostudies-literature | 2004

REPOSITORIES: biostudies-literature

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Reliability of gene expression ratios for cDNA microarrays in multiconditional experiments with a reference design.

König Rainer R Baldessari Danila D Pollet Nicolas N Niehrs Christof C Eils Roland R

Nucleic acids research 20040213 3

In a typical gene expression profiling experiment with multiple conditions, a common reference sample is used for co-hybridization with the samples to yield expression ratios. Differential expression for any other sample pair can then be calculated by assembling the ratios from their hybridizations with the reference. In this study we test the validity of this approach. Differential expression of a sample pair (i, j) was obtained in two ways: directly, by hybridizations of sample i versus j, and ...[more]

PMID: 14966261

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Project description:BackgroundSpotted cDNA microarrays generally employ co-hybridization of fluorescently-labeled RNA targets to produce gene expression ratios for subsequent analysis. Direct comparison of two RNA samples in the same microarray provides the highest level of accuracy; however, due to the number of combinatorial pair-wise comparisons, the direct method is impractical for studies including large number of individual samples (e.g., tumor classification studies). For such studies, indirect comparisons using a common reference standard have been the preferred method. Here we evaluated the precision and accuracy of reconstructed ratios from three indirect methods relative to ratios obtained from direct hybridizations, herein considered as the gold-standard.ResultsWe performed hybridizations using a fixed amount of Cy3-labeled reference oligonucleotide (RefOligo) against distinct Cy5-labeled targets from prostate, breast and kidney tumor samples. Reconstructed ratios between all tissue pairs were derived from ratios between each tissue sample and RefOligo. Reconstructed ratios were compared to (i) ratios obtained in parallel from direct pair-wise hybridizations of tissue samples, and to (ii) reconstructed ratios derived from hybridization of each tissue against a reference RNA pool (RefPool). To evaluate the effect of the external references, reconstructed ratios were also calculated directly from intensity values of single-channel (One-Color) measurements derived from tissue sample data collected in the RefOligo experiments. We show that the average coefficient of variation of ratios between intra- and inter-slide replicates derived from RefOligo, RefPool and One-Color were similar and 2 to 4-fold higher than ratios obtained in direct hybridizations. Correlation coefficients calculated for all three tissue comparisons were also similar. In addition, the performance of all indirect methods in terms of their robustness to identify genes deemed as differentially expressed based on direct hybridizations, as well as false-positive and false-negative rates, were found to be comparable.ConclusionRefOligo produces ratios as precise and accurate as ratios reconstructed from a RNA pool, thus representing a reliable alternative in reference-based hybridization experiments. In addition, One-Color measurements alone can reconstruct expression ratios without loss in precision or accuracy. We conclude that both methods are adequate options in large-scale projects where the amount of a common reference RNA pool is usually restrictive.

Project description:The recent development within high-throughput technologies for expression profiling has allowed for parallel analysis of transcriptomes and proteomes in biological systems such as comparative analysis of transcript and protein levels of tissue regulated genes. Until now, such studies of have only included microarray or short length sequence tags for transcript profiling. Furthermore, most comparisons of transcript and protein levels have been based on absolute expression values from within the same tissue and not relative expression values based on tissue ratios. Presented here is a novel study of two porcine tissues based on integrative analysis of data from expression profiling of identical samples using cDNA microarray, 454-sequencing and iTRAQ-based proteomics. Sequence homology identified 2.541 unique transcripts that are detectable by both microarray hybridizations and 454-sequencing of 1.2 million cDNA tags. Both transcript-based technologies showed high reproducibility between sample replicates of the same tissue, but the correlation across these two technologies was modest. Thousands of genes being differentially expressed were identified with microarray. Out of the 306 differentially expressed genes, identified by 454-sequencing, 198 (65 %) were also found by microarray. The relationship between the regulation of transcript and protein levels was analyzed by integrating iTRAQ-based proteomics data. Protein expression ratios were determined for 354 genes, of which 148 could be mapped to both microarray and 454-sequencing data. A comparison of the expression ratios from the three technologies revealed that differences in transcript and protein levels across heart and muscle tissues are positively correlated. We show that the reproducibility within cDNA microarray and 454-sequencing is high, but that the agreement across these two technologies is modest. We demonstrate that the regulation of transcript and protein levels across identical tissue samples is positively correlated when the tissue expression ratios are used for comparison. The results presented are of interest in systems biology research in terms of integration and analysis of high-throughput expression data from mammalian tissues. Keywords: tissue comparison, platform comparison

Project description:The introduction of long oligonucleotide-based probes has led to many comparative studies of these two platforms in mammals, but remains to be performed for pig. Further, the characteristics of global gene expression in diverse porcine muscle tissues have not been yet been fully established. This is the first global gene expression study of a collection of nine porcine muscle tissues consisting of cardiac and various skeletal muscle types using both cDNA-based and long oligonucleotide-based microarray platforms. The expression profiles from the two platforms agree in differentiating between cardiac, skeletal red, skeletal intermediate and skeletal white muscle types by producing almost identical hierarchical expression clusters. The clusters from both platforms also reveal that gene expression profiles of the skeletal intermediate type are more similar to the red type than to the white type. Analysis of the ability to identify differentially expressed genes based on gene set analysis and GO term integration show a platform overlap of at least 80% for the cardiac-skeletal comparisons and a platform overlap of at least 58% for the skeletal red-white comparisons. Interestingly, the oligonucleotide platform was always able to identify more GO terms associated with differential expression than the cDNA platform. We further examined the skeletal red-white expression differences and found many GO biological processes that are known to be associated with these phenotypes including calcium ion transport, glycolysis, fatty acid beta-oxidation and muscle contraction. In addition, the expression of genes involved in differentiation between slow (red) and fast (white) muscle types such as MYBPC1, TNNI1, TNNT3 and ATP2A1 is highly regulated between red and white type muscles. Not previously shown to be associated with this tissue difference we found the biological process post-Golgi vesicle-mediated transport. Similar results were obtained with GO classes cellular components and molecular functions. Using the gene expression profiles from the oligonucleotide platform we presented and applied an approach for predicting alternatively spliced transcripts across cardiac and skeletal type muscles. One of the predicted transcripts from the gene named UBE2C has been shown to have six transcript variants in human, but they are not expressed in a cardiac-skeletal specific manner as we have observed here. We speculate that one of our oligonucleotide probes for this gene is able to detect only three of these variants whereas the other detects all six variants and that these variants are expressed in a cardiac-skeletal muscle specific manner. These results supports some of the advantages of using oligonucleotide-based microarray platforms for global gene expression profiling and the observed differences in gene expression among muscle tissues contribute to the understanding of the molecular processes behind porcine muscle biology. Keywords: tissue comparison, platform comparison

Project description:The Paramyxovirus respiratory syncytial virus (RSV) is the primary etiologic agent of serious epidemic lower respiratory tract disease in infants, immunosuppressed patients, and the elderly. Lower tract infection with RSV is characterized by a pronounced peribronchial mononuclear infiltrate, with eosinophilic and basophilic degranulation. Because RSV replication is restricted to airway epithelial cells, where RSV replication induces potent expression of chemokines, the epithelium is postulated to be a primary initiator of pulmonary inflammation in RSV infection. The spectrum of RSV-induced chemokines expressed by alveolar epithelial cells has not been fully investigated. In this report, we profile the kinetics and patterns of chemokine expression in RSV-infected lower airway epithelial cells (A549 and SAE). In A549 cells, membrane-based cDNA macroarrays and high-density oligonucleotide probe-based microarrays identified inducible expression of CC (I-309, Exodus-1, TARC, RANTES, MCP-1, MDC, and MIP-1 alpha and -1 beta), CXC (GRO-alpha, -beta, and -gamma, ENA-78, interleukin-8 [IL-8], and I-TAC), and CX(3)C (Fractalkine) chemokines. Chemokines not previously known to be expressed by RSV-infected cells were independently confirmed by multiprobe RNase protection assay, Northern blotting, and reverse transcription-PCR. High-density microarrays performed on SAE cells confirmed a similar pattern of RSV-inducible expression of CC chemokines (Exodus-1, RANTES, and MIP-1 alpha and -1 beta), CXC chemokines (I-TAC, GRO-alpha, -beta, and -gamma, and IL-8), and Fractalkine. In contrast, TARC, MCP-1, and MDC were not induced, suggesting the existence of distinct genetic responses for different types of airway-derived epithelial cells. Hierarchical clustering by agglomerative nesting and principal-component analyses were performed on A549-expressed chemokines; these analyses indicated that RSV-inducible chemokines are ordered into three related expression groups. These data profile the temporal changes in expression by RSV-infected lower airway epithelial cells of chemokines, chemotactic proteins which may be responsible for the complex cellular infiltrate in virus-induced respiratory inflammation.

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Reliability of gene expression ratios for cDNA microarrays in multiconditional experiments with a reference design.

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Reliability of gene expression ratios for cDNA microarrays in multiconditional experiments with a reference design.

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