Microarray analysis of Drosophila development during metamorphosis

The peroxiredoxin gene family in Drosophila melanogaster

Five peroxiredoxin genes have been identified in Drosophila melanogaster on the basis of a genome-wide search. Three of the genes (DPx-4156, DPx-4783, and DPx-5037) fall into the 2-Cys subgroup, while the other two (DPx-2540 and DPx-6005) belong to the 1-Cys subgroup. Using cDNAs, all five were expressed in E. coli and the purified recombinant proteins were shown to reduce H(2)O(2) in the presence of dithiothreitol. The three 2-Cys Prx were also shown to be active in the thioredoxin system and were, consequently, classified as thioredoxin peroxidases. Antisera raised against the DPx-4783 recombinant protein crossreacted with all family members and recognized protein species of the predicted sizes (22-27 kD). All five family members, when individually overexpressed in Drosophila S2 cells, conferred some resistance to H(2)O(2) treatment, as measured by cell viability. Functional diversification of the Drosophila peroxiredoxin family members was suggested by two lines of evidence: (i) the patterns of mRNA accumulation varied for the different genes during development and (ii) recombinant proteins fused to an epitope tag and overexpressed in Drosophila cells, differed in subcellular localizations--three proteins occurred in the cytosol, one was localized to the mitochondria, and one was found to be secreted.

Cytochromes P450 of insects: the tip of the iceberg

The cytochrome P450-dependent monooxygenases are an extremely important metabolic system involved in the metabolism of endogenous compounds and xenobiotics. Collectively, P450 monooxygenases can metabolize numerous substrates and carry out multiple oxidative reactions. The large number of substrates metabolized is due to the plethora of P450 isoforms and to the broad substrate specificity of some isoforms. Monooxygenases of insects have several functional roles, including growth, development, feeding and protection against xenobiotics, including resistance to pesticides and tolerance to plant toxins. This review begins with background information about P450s and their evolution, followed by a discussion of the extraordinary diversity of insect P450s. Given the enormous interest in studying individual P450s, we then provide a synopsis of the different methods that have been used in their isolation and the substrates that are known to be metabolized. We conclude by summarizing the lessons we have learned from the study of individual insect P450s, including their roles in insecticide resistance, plant-insect interactions and insect physiology. However, these studies are just the 'tip of the iceberg'. Our knowledge continues to expand at a rapid pace, suggesting that the next decade will outpace the last in terms of improving our understanding of the cytochromes P450 of insects.

Analysis and function of transcriptional regulatory elements: insights from Drosophila

Analysis of gene expression is assuming an increasingly important role in elucidating the molecular basis of insect biology. Transcriptional regulation of gene expression is directed by a variety of cis-acting DNA elements that control spatial and temporal patterns of expression. This review summarizes current knowledge about properties of transcriptional regulatory elements, based largely on research in Drosophila melanogaster, and outlines ways that new technologies are providing tools to facilitate the study of transcriptional regulatory elements in other insects.

DNA microarray analysis of chimpanzee liver during acute resolving hepatitis C virus infection

Hepatitis C virus (HCV) poses a worldwide health problem in that the majority of individuals exposed to HCV become chronically infected and are predisposed for developing significant liver disease. DNA microarray technology provides an opportunity to survey transcription modulation in the context of an infectious disease and is a particularly attractive approach in characterizing HCV-host interactions, since the mechanisms underlying viral persistence and disease progression are not understood and are difficult to study. Here, we describe the changes in liver gene expression during the course of an acute-resolving HCV infection in a chimpanzee. Clearance of viremia in this animal occurred between weeks 6 and 8, while clearance of residual infected hepatocytes did not occur until 14 weeks postinfection. The most notable changes in gene expression occurred in numerous interferon response genes (including all three classical interferon antiviral pathways) that increased dramatically, some as early as day 2 postinfection. The data suggest a biphasic mechanism of viral clearance dependent on both the innate and adaptive immune responses and provide insight into the response of the liver to a hepatotropic viral infection.

Drosophila Med6 is required for elevated expression of a large but distinct set of developmentally regulated genes

Mediator is the evolutionarily conserved coactivator required for the integration and recruitment of diverse regulatory signals to basal transcription machinery. To elucidate the functions of metazoan Mediator, we isolated Drosophila melanogaster Med6 mutants. dMed6 is essential for viability and/or proliferation of most cells. dMed6 mutants failed to pupate and died in the third larval instar with severe proliferation defects in imaginal discs and other larval mitotic cells. cDNA microarray, quantitative reverse transcription-PCR, and in situ expression analyses of developmentally regulated genes in dMed6 mutants showed that transcriptional activation of many, but not all, genes was affected. Among the genes found to be affected were some that play a role in cell proliferation and metabolism. Therefore, dMed6 is required in most cells for transcriptional regulation of many genes important for diverse aspects of Drosophila development.

Biogenesis of Golgi stacks in imaginal discs of Drosophila melanogaster

We provide a detailed description of Golgi stack biogenesis that takes place in vivo during one of the morphogenetic events in the lifespan of Drosophila melanogaster. In early third-instar larvae, small clusters consisting mostly of vesicles and tubules were present in epithelial imaginal disk cells. As larvae progressed through mid- and late-third instar, these larval clusters became larger but also increasingly formed cisternae, some of which were stacked. In white pupae, the typical Golgi stack was observed. We show that larval clusters are Golgi stack precursors by 1) localizing various Golgi-specific markers to the larval clusters by electron and immunofluorescence confocal microscopy, 2) driving this conversion in wild-type larvae incubated at 37 degrees C for 2 h, and 3) showing that this conversion does not take place in an NSF1 mutant (comt 17). The biological significance of this conversion became clear when we found that the steroid hormone 20-hydroxyecdysone (ecdysone) is critically involved in this conversion. In its absence, Golgi stack biogenesis did not occur and the larval clusters remained unaltered. We showed that dGM130 and sec23p expression increases approximately three- and fivefold, respectively, when discs are exposed to ecdysone in vivo and in vitro. Taken together, these results suggest that we have developed an in vivo system to study the ecdysone-triggered Golgi stack biogenesis.

Microarray-based analysis of gene expression in very large gene families: the cytochrome P450 gene superfamily of Arabidopsis thaliana

Cytochrome P450 (P450s) are heme-thiolate protein products of a very large gene superfamily, present in all kingdoms and involved in a variety of metabolic reactions. P450s are classified according to the degree of amino acid sequence identity, with P450s of the same family defined as having >40% identity, and P450s of the same subfamily having >55% identity. Currently, 273 P450 genes distributed over 45 families have been identified in Arabidopsis, and its genome is estimated to contain as many as 286. Genome-wide DNA microarrays make it possible to broadly correlate P450 gene activity with alterations in physiological or developmental states. A potential problem with microarray research is that sequence similarity between and within these families of closely related genes may lead to cross-hybridization. We designed experiments to systematically evaluate the specificity of P450 microarrays, and showed that conditions could be optimized to provide a very high degree of hybridization specificity. Under these conditions, and employing a 20% intensity value of maximum hybridization intensity as a cut-off, labeled P450 genes exhibited essentially no cross-hybridization between families and within subfamilies. We also compared the gene transcription levels of microarray probes derived from EST clones and from genomic DNA sequences for which ESTs were not available, using cDNA produced from RNA from various Arabidopsis tissue as the target. Many of the P450 genes displayed tissue-specific expression, leading to hypotheses as to the function of individual genes and their regulation. We also observed that several of the genomic sequences reported high levels of expression, highlighting the limitations of expression analysis based on ESTs alone.

Molecular biology and anatomy of Drosophila olfactory associative learning

Most of our current knowledge of olfactory associative learning in Drosophila comes from the behavioral and molecular analysis of mutants that fail to learn. The identities of the genes affected in these mutants implicate new signaling pathways as mediators of associative learning. The expression patterns of these genes provide insight into the neuroanatomical areas that underlie learning. In recent years, there have been great strides in understanding the molecular and neuroanatomical basis for olfaction in insects. It is now clear that much of the association between the conditioned stimuli and the unconditioned stimuli in olfactory learning occurs within mushroom bodies - third order olfactory neurons within the central brain. In this review, we discuss the nature of the behavioral tasks, the molecules, and the neuronal circuits involved in olfactory learning in Drosophila.

Identification of hypoxia-responsive genes in a dopaminergic cell line by subtractive cDNA libraries and microarray analysis

Transplantation of dopamine-secreting cells harvested from fetal mesencephalon directly into the striatum has had limited success as a therapy for Parkinson's disease. A major problem is that the majority of the cells die during the first 3 weeks following transplantation. Hypoxia in the tissue surrounding the graft is a potential cause of the cell death. We have used subtractive cDNA libraries and microarray analysis to identify the gene expression profile that regulates tolerance to hypoxia. An improved understanding of the molecular basis of hypoxia-tolerance may allow investigators to engineer cells that can survive in the hypoxic environment of the brain parenchyma following transplantation.

Functional genomics and the study of development, variation and evolution

It has rarely been possible to connect the developmental and evolutionary branches of genetics, particularly with regard to the precise changes in the molecular control of development that are responsible for phenotypic variation and evolution. Making such connections will require a high-resolution molecular description of the genetic networks that underlie development and an understanding of their responses to genetic and environmental variation. Functional genomics approaches to development and evolution promise to accelerate the research necessary to accomplish these goals.

Global modulation of cellular transcription by human cytomegalovirus is initiated by viral glycoprotein B

Human cytomegalovirus (HCMV) infection alters the expression of many cellular genes, including IFN-stimulated genes (ISGs) [Zhu, H., Cong, J.-P., Mamtora, G., Gingeras, T. & Shenk, T. (1998) Proc. Natl. Acad. Sci. USA 95, 14470-14475]. By using high-density cDNA microarrays, we show that the HCMV-regulated gene expression profile in fibroblasts does not differ substantially from the response generated by IFN. Furthermore, we identified the specific viral component triggering this response as the envelope glycoprotein B (gB). Cells treated with gB, but not other herpesviral glycoproteins, exhibited the same transcriptional profile as HCMV-infected cells. Thus, the interaction of gB with its as yet unidentified cellular receptor is the principal mechanism by which HCMV alters cellular gene expression early during infection. These findings highlight a pioneering paradigm for the consequences of virus-receptor interactions.

The sharing of cDNA microarray data

During the initial development of microarrays, much discussion revolved around the technology itself. The discussion has now shifted to data analysis and data sharing. There is great interest in the sharing of cDNA microarray data, but several issues related to format, quality and validation will need to be resolved before microarray data can be meaningfully integrated into other molecular databases.

Whole-genome expression analysis: challenges beyond clustering

Measuring the expression of most or all of the genes in a biological system raises major analytic challenges. A wealth of recent reports uses microarray expression data to examine diverse biological phenomena - from basic processes in model organisms to complex aspects of human disease. After an initial flurry of methods for clustering the data on the basis of similarity, the field has recognized some longer-term challenges. Firstly, there are efforts to understand the sources of noise and variation in microarray experiments in order to increase the biological signal. Secondly, there are efforts to combine expression data with other sources of information to improve the range and quality of conclusions that can be drawn. Finally, techniques are now emerging to reconstruct networks of genetic interactions in order to create integrated and systematic models of biological systems.

Cascades of transcriptional induction during human lymphocyte activation

Lymphocyte activation is known to be associated with the induction of genes implicated in cytokine signaling and cellular proliferation. High-density microarrays offer the means to monitor global cellular expression profiles, temporal relationships between classes of transcripts, and alterations associated with human disease or immunosuppression. We sought to determine whether microarray analysis would accurately reflect the normal pattern of gene expression following human T cell activation, and whether the complex expression patterns identified could be analyzed to produce a functional profile of lymphocyte activation. We examined a time course of sequential expression profiles for 6,800 cellular transcripts in human lymphocytes activated with concanavalin A. Expression patterns were grouped using clustering analysis and validated using Northern blotting. Genes known to be induced following T cell activation were accurately identified, and the qualitative patterns of gene expression were well correlated between Northern and microarray analyses. Quantitative differences in gene expression levels were less well correlated between these two techniques. Expression profile analysis revealed the sequential induction of groups of functionally similar genes, whose temporal coregulation underscores known cellular events during T cell activation. This functional "fingerprint" of lymphocyte activation may prove useful for comparisons of lymphocyte responses under experimental conditions and in disease states.

Gene-expression profiling of human osteoblasts following treatment with the ionic products of Bioglass 45S5 dissolution

The effect of the ionic products of Bioglass 45S5 dissolution on the gene-expression profile of human osteoblasts was investigated by cDNA microarray analysis of 1,176 genes. Treatment with the ionic products of Bioglass 45S5 dissolution increased the levels of 60 transcripts twofold or more and reduced the levels of five transcripts to one-half or less than in control. Markedly up-regulated genes included RCL, a c-myc responsive growth related gene, cell cycle regulators such as G1/S specific cyclin D1, and apoptosis regulators including calpain and defender against cell death (DAD1). Other significantly up-regulated genes included the cell surface receptors CD44 and integrin beta1, and various extracellular matrix regulators including metalloproteinases-2 and -4 and their inhibitors TIMP-1 and TIMP-2. The identification of differentially expressed genes by cDNA microarray analysis has offered new insights into the mode of action of bioactive glasses and has proven to be an effective tool in evaluating their osteoproductive properties.

Differential gene expression between chronic hepatitis B and C hepatic lesion

BACKGROUND & AIMS

Complementary DNA (cDNA) microarray technology allows simultaneous expression analysis of hundreds to thousands of genes. We applied the cDNA microarray technique to clarify gene expression profiles in chronic viral hepatitis tissue lesions.

METHODS

We made cDNA microarrays consisting of 1080 human cDNAs and analyzed gene expression using labeled cDNAs prepared from 6 normal, 12 chronic hepatitis B, and 14 chronic hepatitis C liver tissues. Relative expression ratios of individual genes were obtained by comparing hybridization of Cy5-labeled cDNAs from chronic hepatitis lesions and Cy3-labeled cDNA from normal liver tissue.

RESULTS

Hierarchical clustering analysis of the gene expression profiles in 26 patients showed that the patients were clustered into 2 groups with respect to similarities in differentially expressed genes. Hepatitis B and C virus infection, but not age, sex, or histology of hepatitis, were significant factors determining clustering (P < 0.05). In hepatitis B tissue lesions, genes involved in inflammation were predominant, whereas in hepatitis C, expression of anti-inflammatory response genes was relatively dominant.

CONCLUSIONS

These findings shed new light on the possible differential molecular mechanisms in the pathogenesis of hepatitis caused by hepatitis B virus and hepatitis C virus infection, from which hepatocellular carcinoma frequently develops.

Extracting information from cDNA arrays

High-density DNA arrays allow measurements of gene expression levels (messenger RNA abundance) for thousands of genes simultaneously. We analyze arrays with spotted cDNA used in monitoring of expression profiles. A dilution series of a mouse liver probe is deployed to quantify the reproducibility of expression measurements. Saturation effects limit the accessible signal range at high intensities. Additive noise and outshining from neighboring spots dominate at low intensities. For repeated measurements on the same filter and filter-to-filter comparisons correlation coefficients of 0.98 are found. Next we consider the clustering of gene expression time series from stimulated human fibroblasts which aims at finding co-regulated genes. We analyze how preprocessing, the distance measure, and the clustering algorithm affect the resulting clusters. Finally we discuss algorithms for the identification of transcription factor binding sites from clusters of co-regulated genes. (c) 2001 American Institute of Physics.

Delineating developmental and metabolic pathways in vivo by expression profiling using the RIKEN set of 18,816 full-length enriched mouse cDNA arrays

We have systematically characterized gene expression patterns in 49 adult and embryonic mouse tissues by using cDNA microarrays with 18,816 mouse cDNAs. Cluster analysis defined sets of genes that were expressed ubiquitously or in similar groups of tissues such as digestive organs and muscle. Clustering of expression profiles was observed in embryonic brain, postnatal cerebellum, and adult olfactory bulb, reflecting similarities in neurogenesis and remodeling. Finally, clustering genes coding for known enzymes into 78 metabolic pathways revealed a surprising coordination of expression within each pathway among different tissues. On the other hand, a more detailed examination of glycolysis revealed tissue-specific differences in profiles of key regulatory enzymes. Thus, by surveying global gene expression by using microarrays with a large number of elements, we provide insights into the commonality and diversity of pathways responsible for the development and maintenance of the mammalian body plan.

Human DNA repair genes

Cellular DNA is subjected to continual attack, both by reactive species inside cells and by environmental agents. Toxic and mutagenic consequences are minimized by distinct pathways of repair, and 130 known human DNA repair genes are described here. Notable features presently include four enzymes that can remove uracil from DNA, seven recombination genes related to RAD51, and many recently discovered DNA polymerases that bypass damage, but only one system to remove the main DNA lesions induced by ultraviolet light. More human DNA repair genes will be found by comparison with model organisms and as common folds in three-dimensional protein structures are determined. Modulation of DNA repair should lead to clinical applications including improvement of radiotherapy and treatment with anticancer drugs and an advanced understanding of the cellular aging process.

DNA microarrays: raising the profile

Expression profiling using DNA microarrays is starting to come of age. The past year has seen significant advances in the number, scope and quality of studies that incorporate expression profiling experiments. Attention is starting to move on from making DNA microarrays to appropriate experimental design and sophisticated data analysis techniques.

Preprocessing implementation for microarray (PRIM): an efficient method for processing cDNA microarray data

cDNA microarray technology is useful for systematically analyzing the expression profiles of thousands of genes at once. Although many useful results inferred by using this technology and a hierarchical clustering method for statistical analysis have been confirmed using other methods, there are still questions about the reproducibility of the data. We have therefore developed a data processing method that very efficiently extracts reproducible data from the result of duplicate experiments. It is designed to automatically filter the raw results obtained from cDNA microarray image-analysis software. We optimize the threshold value for filtering the data by using the product of N and R, where N is the ratio of the number of spots that passed the filtering vs. the total number of spots, and R is the correlation coefficient for results obtained in the duplicate experiments. Using this method to process mouse tissue expression profile data that contain 1,881,600 points of analysis, we obtained clustered results more reasonable than those obtained using previously reported filtering methods.

Role of caspases and mitochondria in the steroid-induced programmed cell death of a motoneuron during metamorphosis

Accessory planta retractor (APR) motoneurons of the hawk moth, Manduca sexta, undergo a segment-specific pattern of programmed cell death (PCD) 24 to 48 h after pupal ecdysis (PE). Cell culture experiments show that the PCD of APRs in abdominal segment 6 [APR(6)s] is a cell-autonomous response to the steroid hormone 20-hydroxyecdysone (20E) and involves mitochondrial demise and cell shrinkage. Twenty-four hours before PE, at stage W3-noon, APR(6)s require further 20E exposure and protein synthesis (as tested with cycloheximide) to undergo PCD, and death can be blocked by a broad-spectrum caspase inhibitor. By PE, death is 20E- and protein synthesis-independent and the caspase inhibitor blocks cell shrinkage but not loss of mitochondrial function. Thus, the commitment to mitochondrial demise precedes the commitment to execution events. The phenotype of necrotic cell death induced by a mitochondrial electron transfer inhibitor differs unambiguously from 20E-induced PCD. By inducing PCD pharmacologically, the readiness of APR(6)s to execute PCD was found to increase during the final larval instar. These data suggest that the 20E-induced PCD of APR(6)s includes a premitochondrial phase which includes 20E-induced synthetic events and apical caspase activity, a mitochondrial phase which culminates in loss of mitochondrial function, and a postmitochondrial phase during which effector caspases are activated and APR(6) is destroyed.

The cytochrome P450 gene superfamily in Drosophila melanogaster: annotation, intron-exon organization and phylogeny

The cytochrome P450 gene superfamily is represented by 90 sequences in the Drosophila melanogaster genome. Of these 90 P450 sequences, 83 code for apparently functional genes whereas seven are apparent pseudogenes. More than half of the genes belong to only two families, CYP4 and CYP6. The CYP6 family is insect specific whereas the CYP4 family includes sequences from vertebrates. There are eight genes coding for mitochondrial P450s as deduced from their homology to CYP12A1 from the house fly. The genetic map of the distribution of D. melanogaster P450 genes shows (a) the absence of P450 genes on the chromosome 4 and Y, (b) more than half of the P450 genes are found on chromosome 2, and (c) the largest cluster contains nine genes. Sequence alignments were used to draw phylogenetic trees and to analyze the intron-exon organization of each functional P450 gene. Only five P450 genes are intronless. We found 57 unique intron positions, of which 23 were phase zero, 19 were phase one and 15 were phase two. There was a relatively good correlation between intron conservation and phylogenetic relationship between members of the P450 subfamilies. Although the function of many P450 proteins from vertebrates, fungi, plants and bacteria is known, only a single P450 from D. melanogaster, CYP6A2, has been functionally characterized. Gene organization appears to be a useful tool in the study of the regulation, the physiological role and the function of these P450s.

Identification of candidate downstream genes for the homeodomain transcription factor Labial in Drosophila through oligonucleotide-array transcript imaging

BACKGROUND

Homeotic genes are key developmental regulators that are highly conserved throughout evolution. Their encoded homeoproteins function as transcription factors to control a wide range of developmental processes. Although much is known about homeodomain-DNA interactions, only a small number of genes acting downstream of homeoproteins have been identified. Here we use a functional genomic approach to identify candidate target genes of the Drosophila homeodomain transcription factor Labial.

RESULTS

High-density oligonucleotide arrays with probe sets representing 1,513 identified and sequenced genes were used to analyze differential gene expression following labial overexpression in Drosophila embryos. We find significant expression level changes for 96 genes belonging to all functional classes represented on the array. In accordance with our experimental procedure, we expect that these genes are either direct or indirect targets of labial gene action. Among these genes, 48 were upregulated and 48 were downregulated following labial overexpression. This corresponds to 6.3% of the genes represented on the array. For a selection of these genes, we show that the data obtained with the oligonucleotide arrays are consistent with data obtained using quantitative RT-PCR.

CONCLUSIONS

Our results identify a number of novel candidate downstream target genes for Labial, suggesting that this homeoprotein differentially regulates a limited and distinct set of embryonically expressed Drosophila genes.

Expression profiles during honeybee caste determination

BACKGROUND

Depending on their larval environment, female honeybees develop into either queens or workers. As in other polyphenisms, this developmental switch depends not on genomic differences between queens and workers but on the differential expression of entire suites of genes involved with larval fate. As such, this and other polyphenic systems can provide a novel tool for understanding how genomes and environmental conditions interact to produce different developmental trajectories. Here we use gene-expression profiles during honeybee caste determination to present the first genomic view of polyphenic development.

RESULTS

Larvae raised as queens or workers differed greatly in their gene-expression patterns. Workers remained more faithful than queens to the expression profiles of younger, bipotential, larvae. Queens appeared to both downregulate many of the genes expressed by bipotential larvae and turn on a distinct set of caste-related genes. Queens overexpressed several metabolic enzymes, workers showed increased expression of a member of the cytochrome P450 family, hexameric storage proteins and dihydrodiol dehydrogenase, and young larvae overexpressed two putative heat-shock proteins (70 and 90 kDa), and several proteins related to RNA processing and translation.

CONCLUSIONS

Large differences in gene expression between queens and workers indicate that social insect castes have faced strong directional selection pressures. Overexpression of metabolic enzymes by queen-destined larvae appears to reflect the enhanced growth rate of queens during late larval development. Many of the differently expressed genes we identified have been tied to metabolic rates and cellular responses to hormones, a result consistent with known physiological differences between queen and worker larvae.

Resistance of Drosophila to toxins

Insects, including Drosophila, readily respond to toxins such as phytotoxins, metal ions, and insecticides in their environment by evolving resistance. Although Drosophila are seldom targets for insecticides, nevertheless populations worldwide have evolved resistance to a variety of insecticides, and these resistance alleles persist in high frequency. In many cases, Drosophila use the same genetic and biochemical mechanisms that underlie resistance in pest insects, including single-site changes in target molecules resulting from point mutations and upregulation of degradative enzymes, particularly cytochrome P450 enzymes and glutathione S-transferases. However, several types of resistance found in pest insects, such as gene amplification and knock-down resistance, have not been reported in Drosophila field populations. Excellent Drosophila-plant models are being studied to understand the adaptation to phytotoxins; P450 enzymes are clearly involved in phytotoxin resistance in one of these models. The genetic advantages of D. melanogaster, including availability of the sequenced genome, should allow further study of these genes and identification of new ones, particularly regulatory genes, responsible for resistance.

Gene expression and the evolution of insect polyphenisms

Polyphenic differences between individuals arise not through differences at the genome level but as a result of specific cues received during development. Polyphenisms often involve entire suites of characters, as shown dramatically by the polyphenic castes found in many social insect colonies. An understanding of the genetic architecture behind polyphenisms provides a novel means of studying the interplay between genomes, gene expression and phenotypes. Here we discuss polyphenisms and molecular genetic tools now available to unravel their developmental bases in insects. We focus on several recent studies that have tracked gene-expression patterns during social insect caste determination. BioEssays 23:62-68, 2001. Published 2001 John Wiley & Sons, Inc.

Co-ordinated programme of gene expression during asexual intraerythrocytic development of the human malaria parasite Plasmodium falciparum revealed by microarray analysis

Plasmodium falciparum is a protozoan parasite responsible for the most severe forms of human malaria. All the clinical symptoms and pathological changes seen during human infection are caused by the asexual blood stages of Plasmodium. Within host red blood cells, the parasite undergoes enormous developmental changes during its maturation. In order to analyse the expression of genes during intraerythrocytic development, DNA microarrays were constructed and probed with stage-specific cDNA. Developmental upregulation of specific mRNAs was found to cluster into functional groups and revealed a co-ordinated programme of gene expression. Those involved in protein synthesis (ribosomal proteins, translation factors) peaked early in development, followed by those involved in metabolism, most dramatically glycolysis genes. Adhesion/invasion genes were turned on later in the maturation process. At the end of intraerythrocytic development (late schizogony), there was a general shut-off of gene expression, although a small set of genes, including a number of protein kinases, were turned on at this stage. Nearly all genes showed some regulation over the course of development. A handful of genes remained constant and should be useful for normalizing mRNA levels between stages. These data will facilitate functional analysis of the P. falciparum genome and will help to identify genes with a critical role in parasite progression and multiplication in the human host.

Muscle phenotype remains unaltered after limb autotomy and unloading

Loss of chelipeds in crustaceans results in severe atrophy of the major muscle responsible for lifting the limb, the anterior levator. We decided to test if this loss of mechanical load altered muscle phenotype as measured by SDS-PAGE analysis of levator total protein and actomyosin fractions. Levator muscles of adult crayfish, Procambarus clarkii, with either functional regenerate limbs or lack of limb buds (papilla stage) were compared with those from normal contralateral limbs and those from pristine animals. We find that there is no difference in protein profiles among the three conditions. However, the total protein profile for the dually excited levator muscle is unique compared to those of fast or slow muscles of the abdomen (L and SEL, respectively), which receive only phasic or tonic excitatory innervation. The levator myosin heavy chain profile is similar to that of slow phenotype muscles such as the SEL and opener. We conclude that load does not influence levator phenotype. This is likely due either to the intact innervation and continued activation of the levator during atrophy or to the maintenance of passive tension on the muscle. J. Exp. Zool. 289:10-22, 2001.

Transcriptional regulation and function during the human cell cycle

We report here the transcriptional profiling of the cell cycle on a genome-wide scale in human fibroblasts. We identified approximately 700 genes that display transcriptional fluctuation with a periodicity consistent with that of the cell cycle. Systematic analysis of these genes revealed functional organization within groups of coregulated transcripts. A diverse set of cytoskeletal reorganization genes exhibit cell-cycle-dependent regulation, indicating that biological pathways are redirected for the execution of cell division. Many genes involved in cell motility and remodeling of the extracellular matrix are expressed predominantly in M phase, indicating a mechanism for balancing proliferative and invasive cellular behavior. Transcripts upregulated during S phase displayed extensive overlap with genes induced by DNA damage; cell-cycle-regulated transcripts may therefore constitute coherent programs used in response to external stimuli. Our data also provide clues to biological function for hundreds of previously uncharacterized human genes.

Evolutionary modification of development in mammalian teeth: quantifying gene expression patterns and topography

The study of mammalian evolution often relies on detailed analysis of dental morphology. For molecular patterning to play a role in dental evolution, gene expression differences should be linkable to corresponding morphological differences. Because teeth, like many other structures, are complex and evolution of new shapes usually involves subtle changes, we have developed topographic methods by using Geographic Information Systems. We investigated how genetic markers for epithelial signaling centers known as enamel knots are associated with evolutionary divergence of molar teeth in two rodent species, mouse and vole. Our analysis of expression patterns of Fgf4, Lef1, p21, and Shh genes in relation to digital elevation models of developing tooth shapes shows that molecular prepatterns predict the lateral cusp topography more than a day in advance. A heterotopic shift in the molecular prepatterns can be implicated in the evolution of mouse molar, changing locations from which historically homologous cusps form. The subtle but measurable heterotopic shifts may play a large role in the evolution of tooth cusp topographies. However, evolutionary increase in the number of longitudinal cusps in vole molar has involved accelerated longitudinal growth and iterative addition of new cusps without changes in lateral cusp topography. The iterative addition of cusps after the establishment of lateral cusp topography may limit the independence of individual morphological features used in evolutionary studies. The diversity of mammalian molar patterns may largely result from the heterotopic and iterative processes.

The "chip" as a specific genetic tool

DNA microarrays are powerful tools for the analysis of the organization and regulation of the brain, in both illness and health. Such messenger RNA expression methods are outgrowths of a marriage between the several genome sequencing projects and a wide variety of physical, chemical, optical, and electronic systems. The advantages of microarray analyses include the ability to study the regulation of several genes or even the entire genome in a single experiment. However, there are substantive issues associated with the use of these tools that need to be considered before drawing conclusions about the genomic regulation of the brain. These issues include the loss of most anatomic (i.e., cellular and circuit) specificity, only fair sensitivity, lack of absolute quantitative data, poor comparability between studies, and high variability in sample values, to mention the most obvious. In this review we point to some of the solutions proposed for these problems and novel techniques and approaches for newer methods. Among these are methods for making arrays more sensitive, including nonarray messenger RNA expression systems. The future of this field and its links to deeper protein and cell biology are both emphasized.

Genome-wide study of aging and oxidative stress response in Drosophila melanogaster

Aging is a universal but poorly understood biological process. Free radicals accumulate with age and have been proposed to be a major cause of aging. We measured genome-wide changes in transcript levels as a function of age in Drosophila melanogaster and compared these changes with those caused by paraquat, a free-radical generator. A number of genes exhibited changes in transcript levels with both age and paraquat treatment. We also found genes whose transcript levels changed with age but not with paraquat treatment. This study suggests that free radicals play an important role in regulating transcript levels in aging but that they are not the only factors. This genome-wide survey also identifies candidates for molecular markers of aging.

The transcriptome of Arabidopsis thaliana during systemic acquired resistance

Infected plants undergo transcriptional reprogramming during initiation of both local defence and systemic acquired resistance (SAR). We monitored gene-expression changes in Arabidopsis thaliana under 14 different SAR-inducing or SAR-repressing conditions using a DNA microarray representing approximately 25-30% of all A. thaliana genes. We derived groups of genes with common regulation patterns, or regulons. The regulon containing PR-1, a reliable marker gene for SAR in A. thaliana, contains known PR genes and novel genes likely to function during SAR and disease resistance. We identified a common promoter element in genes of this regulon that binds members of a plant-specific transcription factor family. Our results extend expression profiling to definition of regulatory networks and gene discovery in plants.

Phytochrome regulation of nuclear gene expression in plants

The photoregulation of gene expression in higher plants was extensively studied during the 1980s, in particular the light-responsive cis -acting elements and trans -acting factors of the Lhcb and rbcS genes. However, little has been discovered about: (1) which plant genes are regulated by light, and (2) which photoreceptors control the expression of these genes. In the 1990s, the functional analysis of the various photoreceptors has progressed rapidly using photoreceptor-deficient mutants, including those of the phytochrome gene family. More recently however, advanced techniques for gene expression analysis, such as fluorescent differential display and DNA microarray technology, have become available enabling the global identification of genes that are regulated by particular photoreceptors. In this paper we describe distinct and overlapping effects of individual phytochromes on gene expression in Arabidopsis thaliana.

The Drosophila genome

The past year has been a spectacular one for Drosophila research. The sequencing and annotation of the Drosophila melanogaster genome has allowed a comprehensive analysis of the first three eukaryotes to be sequenced-yeast, worm and fly-including an analysis of the fly's influences as a model for the study of human disease. This year has also seen the initiation of a full-length cDNA sequencing project and the first analysis of Drosophila development using high-density DNA microarrays containing several thousand Drosophila genes. For the first time homologous recombination has been demonstrated in flies and targeted gene disruptions may not be far off.

mRNA expression profile of a human cancer cell line in response to Ginkgo biloba extract: induction of antioxidant response and the Golgi system

Supplementation of diets with plant extracts for health and prevention of degenerative diseases is popular. However the molecular basis of their therapeutic potentials are poorly defined. We hypothesized that in vitro assays that enable quantitative analysis of the gene expression profiles combined with targeted biochemical analysis can identify the potential effects of phytochemicals. The hypothesis was tested by application of GeneChips to define mRNA expressions of a human bladder cancer cell line incubated with a flavonoid containing extract of Ginkgo biloba leaves. The analysis of the transcriptional response revealed a net activation of transcription. Functional classification of the affected mRNAs showed the largest changes in the abundance of mRNAs for intracellular vesicular transport, mitochondria, transcription and antioxidants. The transcripts for hemeoxygenase-1, mitochondrial superoxide dismutase and the regulatory subunit of gamma-glutamyl-cysteinyl synthetase and their encoded proteins were elevated. The extract also increased intracellular glutathione, the transcripts for DNA repair and synthesis, and decreased 3H-thymidine incorporation. These results demonstrate that a flavonoid containing extract initiates an adaptive transcriptional response that augments the "antioxidant status" of the cells and inhibits DNA damage. These in vitro studies using GeneChips demonstrated a promising strategy for identifying nutritional supplement induced cellular responses that may have a role in counteracting chronic human diseases.

The microarray explorer tool for data mining of cDNA microarrays: application for the mammary gland

The Microarray Explorer (MAExplorer) is a versatile Java-based data mining bioinformatic tool for analyzing quantitative cDNA expression profiles across multiple microarray platforms and DNA labeling systems. It may be run as either a stand-alone application or as a Web browser applet over the Internet. With this program it is possible to (i) analyze the expression of individual genes, (ii) analyze the expression of gene families and clusters, (iii) compare expression patterns and (iv) directly access other genomic databases for clones of interest. Data may be downloaded as required from a Web server or in the case of the stand-alone version, reside on the user's computer. Analyses are performed in real-time and may be viewed and directly manipulated in images, reports, scatter plots, histograms, expression profile plots and cluster analyses plots. A key feature is the clone data filter for constraining a working set of clones to those passing a variety of user-specified logical and statistical tests. Reports may be generated with hypertext Web access to UniGene, GenBank and other Internet databases for sets of clones found to be of interest. Users may save their explorations on the Web server or local computer and later recall or share them with other scientists in this groupware Web environment. The emphasis on direct manipulation of clones and sets of clones in graphics and tables provides a high level of interaction with the data, making it easier for investigators to test ideas when looking for patterns. We have used the MAExplorer to profile gene expression patterns of 1500 duplicated genes isolated from mouse mammary tissue. We have identified genes that are preferentially expressed during pregnancy and during lactation. One gene we identified, carbonic anhydrase III, is highly expressed in mammary tissue from virgin and pregnant mice and in gene knock-out mice with underdeveloped mammary epithelium. Other genes, which include those encoding milk proteins, are preferentially expressed during lactation.

Drosophila models of human neurodegenerative disease

Drosophila has provided a powerful genetic system in which to elucidate fundamental cellular pathways in the context of a developing and functioning nervous system. Recently, Drosophila has been applied toward elucidating mechanisms of human neurodegenerative disease, including Alzheimer's, Parkinson's and Huntington's diseases. Drosophila allows study of the normal function of disease proteins, as well as study of effects of familial mutations upon targeted expression of human mutant forms in the fly. These studies have revealed new insight into the normal functions of such disease proteins, as well as provided models in Drosophila that will allow genetic approaches to be applied toward elucidating ways to prevent or delay toxic effects of such disease proteins. These, and studies to come that follow from the recently completed sequence of the Drosophila genome, underscore the contributions that Drosophila as a model genetic system stands to contribute toward the understanding of human neurodegenerative disease.

Quantitative transcript imaging in normal and heat-shocked Drosophila embryos by using high-density oligonucleotide arrays

Embryonic development in Drosophila is characterized by an early phase during which a cellular blastoderm is formed and gastrulation takes place, and by a later postgastrulation phase in which key morphogenetic processes such as segmentation and organogenesis occur. We have focused on this later phase in embryogenesis with the goal of obtaining a comprehensive analysis of the zygotic gene expression that occurs during development under normal and altered environmental conditions. For this, a functional genomic approach to embryogenesis has been developed that uses high-density oligonucleotide arrays for large-scale detection and quantification of gene expression. These oligonucleotide arrays were used for quantitative transcript imaging of embryonically expressed genes under standard conditions and in response to heat shock. In embryos raised under standard conditions, transcripts were detected for 37% of the 1,519 identified genes represented on the arrays, and highly reproducible quantification of gene expression was achieved in all cases. Analysis of differential gene expression after heat shock revealed substantial expression level changes for known heat-shock genes and identified numerous heat shock-inducible genes. These results demonstrate that high-density oligonucleotide arrays are sensitive, efficient, and quantitative instruments for the analysis of large scale gene expression in Drosophila embryos.

Coordinated plant defense responses in Arabidopsis revealed by microarray analysis

Disease resistance is associated with a plant defense response that involves an integrated set of signal transduction pathways. Changes in the expression patterns of 2,375 selected genes were examined simultaneously by cDNA microarray analysis in Arabidopsis thaliana after inoculation with an incompatible fungal pathogen Alternaria brassicicola or treatment with the defense-related signaling molecules salicylic acid (SA), methyl jasmonate (MJ), or ethylene. Substantial changes (up- and down-regulation) in the steady-state abundance of 705 mRNAs were observed in response to one or more of the treatments, including known and putative defense-related genes and 106 genes with no previously described function or homology. In leaf tissue inoculated with A. brassicicola, the abundance of 168 mRNAs was increased more than 2.5-fold, whereas that of 39 mRNAs was reduced. Similarly, the abundance of 192, 221, and 55 mRNAs was highly (>2.5-fold) increased after treatment with SA, MJ, and ethylene, respectively. Data analysis revealed a surprising level of coordinated defense responses, including 169 mRNAs regulated by multiple treatments/defense pathways. The largest number of genes coinduced (one of four induced genes) and corepressed was found after treatments with SA and MJ. In addition, 50% of the genes induced by ethylene treatment were also induced by MJ treatment. These results indicated the existence of a substantial network of regulatory interactions and coordination occurring during plant defense among the different defense signaling pathways, notably between the salicylate and jasmonate pathways that were previously thought to act in an antagonistic fashion.

The current excitement in bioinformatics-analysis of whole-genome expression data: how does it relate to protein structure and function?

Whole-genome expression profiles provide a rich new data-trove for bioinformatics. Initial analyses of the profiles have included clustering and cross-referencing to 'external' information on protein structure and function. Expression profile clusters do relate to protein function, but the correlation is not perfect, with the discrepancies partially resulting from the difficulty in consistently defining function. Other attributes of proteins can also be related to expression-in particular, structure and localization-and sometimes show a clearer relationship than function.

Steroid regulation of postembryonic development and reproduction in Drosophila

Ecdysteroids trigger major developmental transitions in Drosophila, including larval molts and metamorphosis. Recent genetic studies strongly support a role for the Ecdysteroid receptor (EcR)/Ultraspiracle (USP) heterodimer as an ecdysteroid receptor at the onset of metamorphosis, functioning as both a transcriptional activator and repressor in vivo. Genetic analysis also indicates that USP, like its vertebrate homolog retinoid X receptor (RXR), might be involved in regulatory pathways independently of EcR. The ecdysteroid hierarchy was also shown recently to regulate Drosophila oogenesis and reproduction.