Genetic heterogeneity of stably transfected cell lines revealed by expression profiling with oligonucleotide microarrays

Large-scale gene expression measurements with oligonucleotide microarrays have contributed tremendously to biological research. However, to distinguish between relevant expression changes and falsely identified positives, the source and magnitude of errors must be understood. Here, we report a source of biological variability in microarray experiments with stably transfected cell lines. Mouse embryonic fibroblast (MEF/3T3) and rat schwannoma (RT4) cell lines were generated to provide regulatable schwannomin expression. The expression levels of 29 samples from five different mouse embryonic fibroblast clonal cell lines and 18 samples from 3 RT4 cell lines were monitored with oligonucleotide microarrays. Using hierarchical clustering, we determined that the changes in gene expression induced by schwannomin overexpression were subtle when compared with those detected as a consequence of clonal selection during generation of the cell lines. The hierarchical clustering implies that significant alterations of gene expression were introduced during the transfection and selection processes. A total of 28 genes were identified by Kruskal-Wallis rank test that showed significant variation between clonal lines. Most of them were related to cytoskeletal function and signaling pathways. Based on these analyses, we recommend that replications of experiments with several selected cell lines are necessary to assess biological effects of induced gene expression.     

Characterization of variability in large-scale gene expression data: implications for study design

Large-scale gene expression measurement techniques provide a unique opportunity to gain insight into biological processes under normal and pathological conditions. To interpret the changes in expression profiles for thousands of genes, we face the nontrivial problem of understanding the significance of these changes. In practice, the sources of background variability in expression data can be divided into three categories: technical, physiological, and sampling. To assess the relative importance of these sources of background variation, we generated replicate gene expression profiles on high-density Affymetrix GeneChip oligonucleotide arrays, using either identical RNA samples or RNA samples obtained under similar biological states. We derived a novel measure of dispersion in two-way comparisons, using a linear characteristic function. When comparing expression profiles from replicate tests using the same RNA sample (a test for technical variability), we observed a level of dispersion similar to the pattern obtained with RNA samples from replicate cultures of the same cell line (a test for physiological variability). On the other hand, a higher level of dispersion was observed when tissue samples of different animals were compared (an example of sampling variability). This implies that, in experiments in which samples from different subjects are used, the variation induced by the stimulus may be masked by non-stimuli-related differences in the subjects' biological state. These analyses underscore the need for replica experiments to reliably interpret large-scale expression data sets, even with simple microarray experiments.     

Tissue-specific RNA interference in post-implantation mouse embryos using directional electroporation and whole embryo culture

In mammals, embryonic development is more difficult to analyze than in non-mammalian species because this development occurs in utero. Interestingly, whole embryo culture allows the normal development of mouse post-implantation embryos for up to 2 days in vitro. One limitation of this technology has been the difficulty of performing loss-of-gene function studies in this system. RNA interference (RNAi), whereby double-stranded RNA molecules suppress the expression of complementary genes, has rapidly become a widely used tool for gene function analyses. We have combined the technologies of mouse whole embryo culture and RNAi to allow the molecular dissection of developmental processes. Here, we review the manipulation by topical injection followed by directional electroporation of endoribonuclease-prepared siRNA to demonstrate that this technology may be useful to knock down genes in a tissue- and region-specific manner in several organs of the developing mouse embryo.     

Predicting Gene Function from Uncontrolled Expression Variation among Individual Wild-Type Arabidopsis Plants

Gene expression profiling studies are usually performed on pooled samples grown under tightly controlled experimental conditions to suppress variability among individuals and increase experimental reproducibility. In addition, to mask unwanted residual effects, the samples are often subjected to relatively harsh treatments that are unrealistic in a natural context. Here, we show that expression variations among individual wild-type Arabidopsis thaliana plants grown under the same macroscopic growth conditions contain as much information on the underlying gene network structure as expression profiles of pooled plant samples under controlled experimental perturbations. We advocate the use of subtle uncontrolled variations in gene expression between individuals to uncover functional links between genes and unravel regulatory influences. As a case study, we use this approach to identify ILL6 as a new regulatory component of the jasmonate response pathway.     

Genome-wide analysis of barcoded Saccharomyces cerevisiae gene-deletion mutants in pooled cultures

The availability of a near-complete (96%) collection of gene-deletion mutants in Saccharomyces cerevisiae greatly facilitates the systematic analyses of gene function in yeast. The unique 20 bp DNA 'barcodes' or 'tags' in each deletion strain enable the individual fitness of thousands of deletion mutants to be resolved from a single pooled culture. Here, we present protocols for the study of pooled cultures of tagged yeast deletion mutants with a tag microarray. This process involves five main steps: pooled growth, isolation of genomic DNA, PCR amplification of the barcodes, array hybridization and data analysis. Pooled deletion screening can be used to study gene function, uncover a compound's mode of action and identify drug targets. In addition to these applications, the general method of studying pooled samples with barcode arrays can also be adapted for use with other types of samples, such as mutant collections in other organisms, short interfering RNA vectors and molecular inversion probes.     

Application of cDNA arrays to monitor mRNA profiles in single preimplantation mouse embryos

Array technology is a widely used tool for gene expression profiling in various biological systems. However, the application of this method to mammalian preimplantation embryos is limited by the small amount of mRNA that can be extracted from a single embryo, which is not sufficient for array analysis. Here we report a protocolfor the rapid global amplification of embryonic mRNA that permits the generation of expression profiles from single murine blastocysts. The approach combines global PCR and 77 RNA polymerase amplification and allows the preparation of labeled, amplified RNA for array hybridization from single murine blastocysts containing approximately 1.5 pg mRNA in less than 12 h. We demonstrate that this amplification procedure is highly reproducible and does not bias original relative mRNA levels. Signal patterns from various embryonic stages of murine development revealed marked differences in mRNA expression that were in accordance with previously published data. We found genes known to be involved in embryonic apoptosis expressed at different levels in individual murine day 3.5 blastocysts. This technique can thus be used to assess embryonic viability and investigate molecular mechanisms of embryonic development.     

Subcellular localization of HCV core protein regulates its ability for p53 activation and p21 suppression

An internal RNA standard proved less suitable in bacterial gene expression experiments. We therefore developed a method for simultaneous RNA and gDNA (genomic DNA) isolation from in vitro and in vivo samples containing staphylococci and combined it with quantitative PCR. The reliability of gDNA for bacterial quantification and for standardisation in gene expression experiments was evaluated. Quantitative PCR proves equivalent to quantitative culture for in vitro samples, and superior for in vivo samples. In gene expression experiments, gDNA permits a good standardisation for the initial amount of bacteria. The average interassay variability of the in vitro expression is 20.1%. The in vivo intersample variability was 73.3%. This higher variability can be attributed to the biological variation of gene expression in vivo. This method permits exact quantification of the number of bacteria and the expression of genes in staphylococci in vivo (e.g., in biofilms, evolution in time) and in vitro.     

Evidence for diversity in transcriptional profiles of single hematopoietic stem cells

Hematopoietic stem cells replenish all the cells of the blood throughout the lifetime of an animal. Although thousands of stem cells reside in the bone marrow, only a few contribute to blood production at any given time. Nothing is known about the differences between individual stem cells that dictate their particular state of activation readiness. To examine such differences between individual stem cells, we determined the global gene expression profile of 12 single stem cells using microarrays. We showed that at least half of the genetic expression variability between 12 single cells profiled was due to biological variation in 44% of the genes analyzed. We also identified specific genes with high biological variance that are candidates for influencing the state of readiness of individual hematopoietic stem cells, and confirmed the variability of a subset of these genes using single-cell real-time PCR. Because apparent variation of some genes is likely due to technical factors, we estimated the degree of biological versus technical variation for each gene using identical RNA samples containing an RNA amount equivalent to that of single cells. This enabled us to identify a large cohort of genes with low technical variability whose expression can be reliably measured on the arrays at the single-cell level. These data have established that gene expression of individual stem cells varies widely, despite extremely high phenotypic homogeneity. Some of this variation is in key regulators of stem cell activity, which could account for the differential responses of particular stem cells to exogenous stimuli. The capacity to accurately interrogate individual cells for global gene expression will facilitate a systems approach to biological processes at a single-cell level.     

Proto-oncogenes in mammalian development.

The phenotypic analysis of mice carrying germline mutations in protooncogenes is beginning to provide convincing genetic evidence for the important role that these genes play in mammalian development and differentiation. Two approaches are being taken to elucidate the biological function of proto-oncogenes in vivo. The first involves the molecular analysis of existing mouse developmental mutants, while the second approach involves the generation of specific germline mutations by gene targeting using homologous recombination in embryonic stem cells. Several key points have already emerged from these genetic approaches. First, many proto-oncogenes are important to more than one cell lineage and function both during embryogenesis and in the adult. Second, the patterns of expression of these genes provide only a guide to their biological function. Third, mutant phenotypes are generally less severe than would be expected from their expression patterns, suggesting that there may be functional overlap between two or more members of a gene family.