Identification and characterization of zebrafish ocular formation genes.

To study genes that are specifically expressed in the eyes, we employed microarray and in situ hybridization analyses to identify and characterize differentially expressed ocular genes in eyeless masterblind (mbl-/-) zebrafish (Danio rerio). Among 70 differentially expressed genes in the mbl-/- mutant identified by microarray analysis, 8 down-regulated genes were characterized, including 4 eye-specific genes, opsin 1 short-wave-sensitive 1 (opn1sw1), crystallinbetaa1b (cryba1b), crystallinbetaa2b (cryba2b), and crystallingamma M2d3 (crygm2d3); 2 eye and brain genes, ATPase, H+ transporting, lysosomal, V0 subunit c (atp6v0c) and basic leucine zipper and W2 domains 1a (bzw1a); and 2 constitutive genes, heat shock protein 8 (hspa8) and ribosomal protein L7a (rpl7a). In situ hybridization experiments confirmed down-regulation of these 8 ocular formation genes in mbl-/- zebrafish and showed their ocular and dynamic temporal expression patterns during zebrafish early development. Further, an automated literature analysis of the 70 differentially expressed genes identified a sub-network of genes with known associations, either with each other or with ocular structures or development, and shows how this study contributes to the current body of knowledge.     

Analysis of host response to bacterial infection using error model based gene expression microarray experiments

A key step in the analysis of microarray data is the selection of genes that are differentially expressed. Ideally, such experiments should be properly replicated in order to infer both technical and biological variability, and the data should be subjected to rigorous hypothesis tests to identify the differentially expressed genes. However, in microarray experiments involving the analysis of very large numbers of biological samples, replication is not always practical. Therefore, there is a need for a method to select differentially expressed genes in a rational way from insufficiently replicated data. In this paper, we describe a simple method that uses bootstrapping to generate an error model from a replicated pilot study that can be used to identify differentially expressed genes in subsequent large-scale studies on the same platform, but in which there may be no replicated arrays. The method builds a stratified error model that includes array-to-array variability, feature-to-feature variability and the dependence of error on signal intensity. We apply this model to the characterization of the host response in a model of bacterial infection of human intestinal epithelial cells. We demonstrate the effectiveness of error model based microarray experiments and propose this as a general strategy for a microarray-based screening of large collections of biological samples.     

Differential mRNA fingerprinting by preferential amplification of coding sequences

The need for rapid identification of differentially expressed genes will persist even after the complete human genomic sequence becomes available. The most popular method for identifying differentially expressed genes acquires expressed sequence tags (ESTs) from the extreme 3' non-coding end of mRNAs. Such ESTs have limitations for downstream applications. We have developed a method, termed preferential amplification of coding sequences (PACS), that was applied to identify differentially expressed coding sequence tags (dCSTs) between osteoblasts and osteosarcoma cells. PACS was achieved by PCR with a set of primers to anchor at sequences complementary to AUG sequences in mRNAs and another set of primers to anchor at a PCR-amplifiable distance from AUG sequences. An initial screen identified 103 candidate dCSTs after screening approximately 15% of the expressed genes between the two cell types. Of these sequences, 27 represent CSTs of known genes and two are from 3'-ESTs of known mRNAs. Thus, PACS identified CSTs approximately 13.5 times more often than it identified 3' ESTs, attesting to the objective of the method. Since many of the dCSTs represent known genes, their identity and potential relevance to osteosarcoma could be immediately hypothesized. Differential expression of many of the dCSTs was further demonstrated by northern blotting or RT-PCR. Since PACS is not dependent on the existence of a poly A tail on an mRNA, it should have application to identify dCSTs for both prokaryotic and eukaryotic organisms. Additionally, PACS should aid in the identification of cell-specific or tissue-specific genes and bidirectional acquisition of cDNA sequence enabling rapid retrieval of full-length cDNA sequence of novel genes.     

Differential expression of genes in the endometrium at implantation: upregulation of a novel member of the E2 class of ubiquitin-conjugating enzymes

The process of embryo attachment and implantation is accompanied by dramatic cellular and functional changes in the endometrium, the control and mechanisms of which are not clearly understood. The cDNA cloning of differentially expressed genes, specifically at implantation sites in the rabbit endometrium, was used to identify genes controlling functional and remodeling changes. Tissue from the endometrium of Day 6(3/4) (preimplantation) and Day 8 (implantation initiation) pregnant rabbits was used to screen for differentially expressed genes by combined cDNA subtraction/suppressive hybridization. Twenty-nine differentially expressed genes were identified encoding protein modification enzymes, signaling proteins, structural proteins, and enzymes. One of these is a novel member of the E2 ubiquitin-conjugating enzyme family we have designated UBCi (i for implantation), which displayed dramatic nucleotide and deduced amino acid sequence conservation between rabbits, humans, and mice. In situ hybridization indicated UBCi expression exclusively in the luminal epithelium of the endometrium while glandular epithelium, trophoblast, and myometrium were negative. Expression was specific for epithelial cells at implantation sites and was not detected in non-implant-site endometrium. UBCi mRNA was detected in both the mesometrial and antimesometrial epithelial cells of the implantation sites, sites undergoing both differentiation and/or apoptosis. These results identify a group of differentially expressed genes in the endometrium including UBCi and provide new focal targets for studying processes controlling cellular remodeling during implantation. The important roles of ubiquitination in controlling the activities and turnover of key signaling proteins suggest potential roles in controlling critical aspects of implantation.     

Selection and validation of microarray candidate genes from subregions and subnuclei of the brain

DNA array technology now allows an enormous amount of expression data to be obtained. For large-scale gene profiling enterprises, this is of course welcome. However, the scientist interested in follow-up studies of a handful of differentially expressed genes may find it hard to sift through the vast datasets to pinpoint genes with the most desirable and reliable behaviors. Here, we present the methodology we have employed to discover genes differentially expressed in the adult mouse brain. We first used Affymetrix microarrays to compare gene expression from five different brain regions: the amygdala, cerebellum, hippocampus, olfactory bulb, and periaqueductal gray. Second, we identified genes differentially expressed within three distinct amygdala subnuclei. In this case, the tissue was microdissected by laser-capture to minimize contamination from adjacent subnuclei, and extracted RNA was subjected to three rounds of linear amplification prior to hybridization to the microarrays. To select candidate genes, we developed a custom algorithm to identify those genes with the most robust changes in expression across different replicate samples. Confirmation of expression patterns with in situ hybridization uncovered further criteria to consider in the selection process.     

An in situ screen for genes controlling cell proliferation in the optic tectum of the medaka (Oryzias latipes)

The optic tectum is a dorsal, prominent and well corticalised structure of the fish brain. It grows according to a pattern exceptional in the vertebrate central nervous system, by addition of radial columns of cells at its periphery. We took advantage of this peculiar feature to readily identify genes differentially expressed in the tectal proliferative (marginal) vs. post-mitotic (central) zones. Out of 500 medaka cDNA clones screened by WMISH, more than 100 were expressed in one or the other of these zones. Unexpectedly, we also identified a small class of genes expressed between these two zones. All the characterised genes of this class encode down regulators of the cell cycle. Therefore, such a screening strategy allows in particular cases to raise testable hypotheses on the involvement of genes in the control of the cell cycle, in addition to characterising unknown genes with patterned expression related to cell proliferation.     

Isolation of developmentally regulated genes by differential display screening of cDNA libraries.

mRNA differential display RT-PCR has been extensively used for the isolation of genes differentially expressed between RNA populations. We have assessed its utility for the identification of developmentally regulated genes in plasmid cDNA libraries derived from individual tissues dissected from early mouse embryos. Using plasmid Southern blot hybridisation as a secondary screen, we are able to identify such genes and show by whole-mount in situ hybridisation that their expression pattern is that expected from the differential display profile.     

Nonparametric methods for identifying differentially expressed genes in microarray data

MOTIVATION: Gene expression experiments provide a fast and systematic way to identify disease markers relevant to clinical care. In this study, we address the problem of robust identification of differentially expressed genes from microarray data. Differentially expressed genes, or discriminator genes, are genes with significantly different expression in two user-defined groups of microarray experiments. We compare three model-free approaches: (1). nonparametric t-test, (2). Wilcoxon (or Mann-Whitney) rank sum test, and (3). a heuristic method based on high Pearson correlation to a perfectly differentiating gene ('ideal discriminator method'). We systematically assess the performance of each method based on simulated and biological data under varying noise levels and p-value cutoffs. RESULTS: All methods exhibit very low false positive rates and identify a large fraction of the differentially expressed genes in simulated data sets with noise level similar to that of actual data. Overall, the rank sum test appears most conservative, which may be advantageous when the computationally identified genes need to be tested biologically. However, if a more inclusive list of markers is desired, a higher p-value cutoff or the nonparametric t-test may be appropriate. When applied to data from lung tumor and lymphoma data sets, the methods identify biologically relevant differentially expressed genes that allow clear separation of groups in question. Thus the methods described and evaluated here provide a convenient and robust way to identify differentially expressed genes for further biological and clinical analysis.     

Identification of genes differentially expressed in RAW264.7 cells infected by Salmonella typhimurium using PCR method

Salmonella typhimurium, causing mouse typhoid, infects hosts such as macrophage cells, and proliferates in intracellular vacuoles causing infected cells to trigger numerous genes to respond against the infection. In this study, we tried to identify such genes in RAW264.7 cells by using the PCR screening method with degenerate primers. Fourteen genes were found to be differentially expressed after a 4 h infection in which the expression of 8 genes increased while expression of the others decreased. Most of the genes were involved in proinflammatory responses such as cytokines production and cell death. The mutation in msbB gene encoding the myristoyl transferase in lipid A of lipopolysaccharide (LPS) resulted in much lower toxicity to the inoculated animals. We compared the expression of the identified genes in wild-type and msbB-mutated S. typhimurium infections and found that Lyzs encoding lysozyme type M was differentially expressed. This gene is quite likely to be related to bacterial survival in the host cells.