Systematic determination of patterns of gene expression during Drosophila embryogenesis

FlyBase: genes and gene models

FlyBase (http://flybase.org) is the primary repository of genetic and molecular data of the insect family Drosophilidae. For the most extensively studied species, Drosophila melanogaster, a wide range of data are presented in integrated formats. Data types include mutant phenotypes, molecular characterization of mutant alleles and aberrations, cytological maps, wild-type expression patterns, anatomical images, transgenic constructs and insertions, sequence-level gene models and molecular classification of gene product functions. There is a growing body of data for other Drosophila species; this is expected to increase dramatically over the next year, with the completion of draft-quality genomic sequences of an additional 11 Drosphila species.

A high-throughput method for quantifying gene expression data from early Drosophila embryos

We describe an automated high-throughput method to measure protein levels in single nuclei in blastoderm embryos of Drosophila melanogaster by means of immunofluorescence. The method consists of a chain of specific algorithms assembled into an image processing pipeline. This pipeline transforms a confocal scan of an embryo stained with fluorescently tagged antibodies into a text file. This text file contains a numerical identifier for each nucleus, the coordinates of its centroid, and the average concentrations of three proteins in that nucleus. The central algorithmic component of the method is the automatic identification of nuclei by edge detection with the use of watersheds as an error-correction step. This method provides high-throughput quantification at cellular resolution.

Identification of putative noncoding polyadenylated transcripts in Drosophila melanogaster

Analysis of EST and cDNA collections from a number of metazoan species has identified genes encoding long polyadenylated transcripts that do not contain ORFs of lengths typical for protein-encoding mRNAs. Noncoding functions of such polyadenylated transcripts have been elucidated in only a few examples. The corresponding genes neither contain hallmark sequence motifs nor appear to have been conserved across phyla. Thus, it is impossible to systematically identify new members of this class of gene by using sequence homology and traditional gene-finding algorithms that depend on protein-coding potential. Consequently, even their approximate number has not been established for any metazoan genome. We curated polyadenylated transcripts with limited protein-coding capacity from intergenic regions of the Drosophila melanogaster genome. We used RT-PCR assays, hybridization to RNA blots and whole-mount embryos, and computational analyses to characterize candidate transcripts. We verify the structures and expression of 17 distinct, likely non-protein-coding polyadenylated transcripts. We show that the expression of many of these transcripts is conserved in other Drosophila species, indicating that they have important biological functions.

Expression patterns of three estrogen receptor genes during zebrafish (Danio rerio) development: evidence for high expression in neuromasts

The estrogen receptor (ER) genes encode a group of nuclear enhancer proteins, which are important ligand-activated transcription factors, modulating estrogen-target gene transcription. In this study we analyzed expression patterns of three zebrafish ER genes, esr1, esr2a, and esr2b, during development using whole-mount in situ hybridization. High levels of esr2a and esr2b of maternal origin are inherited and segregated to the blastomers. After the mid-blastula transition, the three genes exhibit similar spatio-temporal patterns of expression. In 24 h postfertilization (hpf) embryos, high levels of esr2a and esr2b and low levels of esr1 mRNAs are detected in the epidermis, pectoral fin buds, hatching gland and, to a lesser extent, developing brain. From 24 hpf onward, the expression of the three genes is down-regulated in the epidermis. By 60 hpf, esr2a mRNA is abundant in mature primary neuromasts of the anterior line system and by 3 days postfertilization (dpf), all mature primary neuromasts in both the anterior and posterior lateral line systems express significant levels of esr2a and esr2b transcripts. Histological sections show a high level of esr2a transcripts in both mechanoreceptive hair cells and supporting cells. The transcripts are still detected after neomycin-induced hair cell death, consistent with the presence of esr2a transcripts in supporting cells. From 6 dpf onward, esr2a and esr2b transcripts are robustly co-expressed in primary neuromasts, branchial arches, pectoral fins, and anal papilla, while slight labeling is observed for esr1 transcripts.

Roles of fascin in cell adhesion and motility

Many cell interactions depend on the assembly of cell protrusions; these include cell attachment and migration in the extracellular matrix, cell-cell communication, and the ability of cells to sense their local environment. Cell protrusions are extensions of the plasma membrane that are supported internally by actin-based structures that impart mechanical stiffness. Fascin is a small, globular actin-bundling protein that has emerging roles in diverse forms of cell protrusions and in cytoplasmic actin bundles. The fascin-actin interaction is under complex regulation from the extracellular matrix, peptide factors and other actin-binding proteins. Recent developments advance our understanding of the multifaceted regulation of fascin and the roles of fascin-containing structures in cell adhesion, motility and invasion in the life of vertebrate organisms.

Global gene expression profiling and cluster analysis in Xenopus laevis

We have undertaken a large-scale microarray gene expression analysis using cDNAs corresponding to 21,000 Xenopus laevis ESTs. mRNAs from 37 samples, including embryos and adult organs, were profiled. Cluster analysis of embryos of different stages was carried out and revealed expected affinities between gastrulae and neurulae, as well as between advanced neurulae and tadpoles, while egg and feeding larvae were clearly separated. Cluster analysis of adult organs showed some unexpected tissue-relatedness, e.g. kidney is more related to endodermal than to mesodermal tissues and the brain is separated from other neuroectodermal derivatives. Cluster analysis of genes revealed major phases of co-ordinate gene expression between egg and adult stages. During the maternal-early embryonic phase, genes maintaining a rapidly dividing cell state are predominantly expressed (cell cycle regulators, chromatin proteins). Genes involved in protein biosynthesis are progressively induced from mid-embryogenesis onwards. The larval-adult phase is characterised by expression of genes involved in metabolism and terminal differentiation. Thirteen potential synexpression groups were identified, which encompass components of diverse molecular processes or supra-molecular structures, including chromatin, RNA processing and nucleolar function, cell cycle, respiratory chain/Krebs cycle, protein biosynthesis, endoplasmic reticulum, vesicle transport, synaptic vesicle, microtubule, intermediate filament, epithelial proteins and collagen. Data filtering identified genes with potential stage-, region- and organ-specific expression. The dataset was assembled in the iChip microarray database, , which allows user-defined queries. The study provides insights into the higher order of vertebrate gene expression, identifies synexpression groups and marker genes, and makes predictions for the biological role of numerous uncharacterized genes.

The Drosophila receptor guanylyl cyclase Gyc76C is required for semaphorin-1a-plexin A-mediated axonal repulsion

Cyclic nucleotide levels within extending growth cones influence how navigating axons respond to guidance cues. Pharmacological alteration of cAMP or cGMP signaling in vitro dramatically modulates how growth cones respond to attractants and repellents, although how these second messengers function in the context of guidance cue signaling cascades in vivo is poorly understood. We report here that the Drosophila receptor-type guanylyl cyclase Gyc76C is required for semaphorin-1a (Sema-1a)-plexin A repulsive axon guidance of motor axons in vivo. Our genetic analyses define a neuronal requirement for Gyc76C in axonal repulsion. Additionally, we find that the integrity of the Gyc76C catalytic cyclase domain is critical for Gyc76C function in Sema-1a axon repulsion. Our results support a model in which cGMP production by Gyc76C facilitates Sema-1a-plexin A-mediated defasciculation of motor axons, allowing for the generation of neuromuscular connectivity in the developing Drosophila embryo.

Neuron-glia interaction in the insect nervous system

In all complex organisms, glial cells are pivotal for neuronal development and function. Insects are characterized by having only a small number of these cells, which nevertheless display a remarkable molecular diversity. An intricate relationship between neurons and glia is initially required for glial migration and during axonal patterning. Recent data suggest that in organisms such as Drosophila, a prime role of glial cells lies in setting boundaries to guide and constrain axonal growth.

Gene expression profiling of the developing Drosophila CNS midline cells

The Drosophila CNS midline cells constitute a specialized set of interneurons, motorneurons, and glia. The utility of the CNS midline cells as a neurogenomic system to study CNS development derives from the ability to easily identify CNS midline-expressed genes. For this study, we used a variety of sources to identify 281 putative midline-expressed genes, including enhancer trap lines, microarray data, published accounts, and the Berkeley Drosophila Genome Project (BDGP) gene expression data. For each gene, we analyzed expression at all stages of embryonic CNS development and categorized expression patterns with regard to specific midline cell types. Of the 281 candidates, we identified 224 midline-expressed genes, which include transcription factors, signaling proteins, and transposable elements. We find that 58 genes are expressed in mesectodermal precursor cells, 138 in midline primordium cells, and 143 in mature midline cells--50 in midline glia, 106 in midline neurons. Additionally, we identified 27 genes expressed in glial and mesodermal cells associated with the midline cells. This work provides the basis for future research that will generate a complete cellular and molecular map of CNS midline development, thus allowing for detailed genetic and molecular studies of neuronal and glial development and function.

Identifying spatially similar gene expression patterns in early stage fruit fly embryo images: binary feature versus invariant moment digital representations

Background

Modern developmental biology relies heavily on the analysis of embryonic gene expression patterns. Investigators manually inspect hundreds or thousands of expression patterns to identify those that are spatially similar and to ultimately infer potential gene interactions. However, the rapid accumulation of gene expression pattern data over the last two decades, facilitated by high-throughput techniques, has produced a need for the development of efficient approaches for direct comparison of images, rather than their textual descriptions, to identify spatially similar expression patterns.

Results

The effectiveness of the Binary Feature Vector (BFV) and Invariant Moment Vector (IMV) based digital representations of the gene expression patterns in finding biologically meaningful patterns was compared for a small (226 images) and a large (1819 images) dataset. For each dataset, an ordered list of images, with respect to a query image, was generated to identify overlapping and similar gene expression patterns, in a manner comparable to what a developmental biologist might do. The results showed that the BFV representation consistently outperforms the IMV representation in finding biologically meaningful matches when spatial overlap of the gene expression pattern and the genes involved are considered. Furthermore, we explored the value of conducting image-content based searches in a dataset where individual expression components (or domains) of multi-domain expression patterns were also included separately. We found that this technique improves performance of both IMV and BFV based searches.

Conclusions

We conclude that the BFV representation consistently produces a more extensive and better list of biologically useful patterns than the IMV representation. The high quality of results obtained scales well as the search database becomes larger, which encourages efforts to build automated image query and retrieval systems for spatial gene expression patterns.

Genes required for Drosophila nervous system development identified by RNA interference

RNA interference was used to screen 3,314 Drosophila double-stranded RNAs, corresponding to approximately 25% of Drosophila genes, for genes that affect the development of the embryonic nervous system. RNA-interference-mediated gene silencing in Drosophila embryos resulted in loss-of-function mutant phenotypes for 43 genes, which is 1.3% of the genes that were screened. We found 18 genes that were not known previously to affect the development of the nervous system. The functions of some of the genes are unknown. Other genes encode protein kinases, transcription factors, and signaling proteins, as well as proteins with other functions.

GEISHA, a whole-mount in situ hybridization gene expression screen in chicken embryos

Despite the increasing quality and quantity of genomic sequence that is available to researchers, predicting gene function from sequence information remains a challenge. One method for obtaining rapid insight into potential functional roles of novel genes is through gene expression mapping. We have performed a high throughput whole-mount in situ hybridization (ISH) screen with chick embryos to identify novel, differentially expressed genes. Approximately 1,200 5' expressed sequence tags (ESTs) were generated from cDNA clones of a Hamburger and Hamilton (HH) stage 4-7 (late gastrula) chick embryo endoderm-mesoderm library. After screening to remove ubiquitously expressed cDNAs and internal clustering and after comparison to GenBank sequences, remaining cDNAs (representing both characterized and uncharacterized genes) were screened for expression in HH stage 3-14 embryos by automated high throughput ISH. Of 786 cDNAs for which ISH was successfully performed, approximately 30% showed ubiquitous expression, 40% were negative, and approximately 30% showed a restricted expression pattern. cDNAs were identified that showed restricted expression in every embryonic region, including the primitive streak, somites, developing cardiovascular system and neural tube/neural crest. A relational database was developed to hold all EST sequences, ISH images, and corresponding BLAST report information, and to enable browsing and querying of data. A user interface is freely accessible at http://geisha.biosci.arizona.edu. Results show that high throughput whole-mount ISH provides an effective approach for identifying novel genes that are differentially expressed in the developing chicken embryo.

The J-domain protein Rme-8 interacts with Hsc70 to control clathrin-dependent endocytosis in Drosophila

By screening for mutants exhibiting interactions with a dominant-negative dynamin, we have identified the Drosophila homologue of receptor-mediated endocytosis (Rme) 8, a J-domain-containing protein previously shown to be required for endocytosis in Caenorhabditis elegans. Analysis of Drosophila Rme-8 mutants showed that internalization of Bride of sevenless and the uptake of tracers were blocked. In addition, endosomal organization and the distribution of clathrin were greatly disrupted in Rme-8 cells, suggesting that Rme-8 participates in a clathrin-dependent process. The phenotypes of Rme-8 mutants bear a strong resemblance to those of Hsc70-4, suggesting that these two genes act in a common pathway. Indeed, biochemical and genetic data demonstrated that Rme-8 interacts specifically with Hsc70-4 via its J-domain. Thus, Rme-8 appears to function as an unexpected but critical cochaperone with Hsc70 in endocytosis. Because Hsc70 is known to act in clathrin uncoating along with auxilin, another J-protein, its interaction with Rme-8 indicates that Hsc70 can act with multiple cofactors, possibly explaining its pleiotropic effects on the endocytic pathway.

Genomic analysis of mouse retinal development

The vertebrate retina is comprised of seven major cell types that are generated in overlapping but well-defined intervals. To identify genes that might regulate retinal development, gene expression in the developing retina was profiled at multiple time points using serial analysis of gene expression (SAGE). The expression patterns of 1,051 genes that showed developmentally dynamic expression by SAGE were investigated using in situ hybridization. A molecular atlas of gene expression in the developing and mature retina was thereby constructed, along with a taxonomic classification of developmental gene expression patterns. Genes were identified that label both temporal and spatial subsets of mitotic progenitor cells. For each developing and mature major retinal cell type, genes selectively expressed in that cell type were identified. The gene expression profiles of retinal Müller glia and mitotic progenitor cells were found to be highly similar, suggesting that Müller glia might serve to produce multiple retinal cell types under the right conditions. In addition, multiple transcripts that were evolutionarily conserved that did not appear to encode open reading frames of more than 100 amino acids in length ("noncoding RNAs") were found to be dynamically and specifically expressed in developing and mature retinal cell types. Finally, many photoreceptor-enriched genes that mapped to chromosomal intervals containing retinal disease genes were identified. These data serve as a starting point for functional investigations of the roles of these genes in retinal development and physiology.

Cell cycle regulator Cdc14 is expressed during sporulation but not hyphal growth in the fungus-like oomycete Phytophthora infestans

Cdc14 proteins are important regulators of mitosis and the cell cycle. These phosphatases have been studied previously only in yeasts and metazoans, which grow by fission or budding. Here we describe a homologue (piCdc14) from the oomycete Phytophthora infestans, a primitive eukaryote lacking a classical cell cycle. PiCdc14 complements a cdc14ts mutant of Saccharomyces cerevisiae and may function like other Cdc14 proteins, but displays a strikingly different pattern of expression. Whereas previously studied Cdc14 genes are constitutively transcribed, piCdc14 is not expressed during normal growth but instead only during asexual sporulation. In transformants of P. infestans expressing a fusion between the piCdc14 promoter and the -glucuronidase reporter, expression was first detected in sporangiophore initials, persisted in sporangiophores bearing immature sporangia, and later became restricted to mature sporangia. After germination, expression ended a few hours before the resumption of mitosis in hyphae emerged from the spores. Homology-dependent silencing experiments supported an essential role of piCdc14 in sporulation. It is proposed that the function of piCdc14 may be to synchronise nuclear behaviour during sporulation and maintain dormancy in spores until germination. These results help illuminate the process of sporulation in oomycetes and the evolution of the cell cycle in eukaryotes.

Computational identification of developmental enhancers: conservation and function of transcription factor binding-site clusters in Drosophila melanogaster and Drosophila pseudoobscura

27 predicted gene-regulatory regions in the Drosophila melanogaster genome were analyzed in vivo, confirming 15 active enhancer regions. A comparison with Drosophila pseudoobscura sequences revealed that conservation of binding-site clusters accurately discriminates functional regions from non-functional ones.

Background

The identification of sequences that control transcription in metazoans is a major goal of genome analysis. In a previous study, we demonstrated that searching for clusters of predicted transcription factor binding sites could discover active regulatory sequences, and identified 37 regions of the Drosophila melanogaster genome with high densities of predicted binding sites for five transcription factors involved in anterior-posterior embryonic patterning. Nine of these clusters overlapped known enhancers. Here, we report the results of in vivo functional analysis of 27 remaining clusters.

Results

We generated transgenic flies carrying each cluster attached to a basal promoter and reporter gene, and assayed embryos for reporter gene expression. Six clusters are enhancers of adjacent genes: giant, fushi tarazu, odd-skipped, nubbin, squeeze and pdm2; three drive expression in patterns unrelated to those of neighboring genes; the remaining 18 do not appear to have enhancer activity. We used the Drosophila pseudoobscura genome to compare patterns of evolution in and around the 15 positive and 18 false-positive predictions. Although conservation of primary sequence cannot distinguish true from false positives, conservation of binding-site clustering accurately discriminates functional binding-site clusters from those with no function. We incorporated conservation of binding-site clustering into a new genome-wide enhancer screen, and predict several hundred new regulatory sequences, including 85 adjacent to genes with embryonic patterns.

Conclusions

Measuring conservation of sequence features closely linked to function - such as binding-site clustering - makes better use of comparative sequence data than commonly used methods that examine only sequence identity.

Development through the eyes of functional genomics

In many of the model organisms used to study development, it is becoming relatively routine to carry out global analyses of gene function. These analyses take many forms, from microarray analyses to the construction of physical interaction maps to the systematic analyses of loss-of-function phenotypes. Such large-scale datasets can be integrated to generate complex gene networks, and we explore how these gene networks can contribute to an understanding of developmental pathways. In particular, we examine how combining large-scale expression experiments and gene networks may move us towards a molecular description of the events of development, embodied in a succession of stage-specific subnetworks sampled from an organism's overall gene network.

Close head-to-head juxtaposition of genes favors their coordinate regulation inDrosophila melanogaster

This report identifies a large number of gene-pairs in Drosophila melanogaster that share a common upstream region. 877 gene-pairs (approximately 12% of the genome) are separated by less than 350 bp in a head-to-head orientation. This positional relationship is more highly favored in flies than in other organisms. These gene pairs have a higher correlation of expression than similarly spaced genes that have head-to-tail or tail-to-tail orientations. Thus, the positional arrangement of genes appears to play a significant role in coordinating relative expression patterns and may provide clues for identifying the functions of unknown genes.

Drosophila Tbx6-related gene, Dorsocross, mediates high levels of Dpp and Scw signal required for the development of amnioserosa and wing disc primordium

Regional differentiation along the dorsoventral (DV) axis of the Drosophila embryo primarily depends on a graded BMP signaling activity generated by Decapentaplegic (Dpp) and Screw (Scw). We have identified triplicated Dpp and Scw target genes Dorsocross1, 2 and 3 (Doc1, 2, 3) that have a conserved T-box domain related to the vertebrate Tbx6 subfamily and act redundantly to induce dorsal structures. Doc genes are expressed in the dorsal region in the early blastoderm. After gastrulation, newly expressed Doc appears in a segmental pattern in the ectoderm. This expression correlates spatially with the second phase of Dpp expression in the ectoderm. Doc expression in the early blastoderm is abolished in either dpp or scw mutant embryos, whereas the ectodermal segmented expression depends only on Dpp. Inactivation of Doc genes with RNAi dramatically affected the development of amnioserosa and wing disc primordia, both of which depend on high levels of BMP signaling, although leg disc primordium, which depends on low levels of BMP, remained intact. Doc1 mRNA expressed in Xenopus embryos induced ventral mesoderm, suppressed activin-induced events and induced Xvent genes, which are analogous to the effects of native Tbx6 and its upstream regulator, BMP-4. These results suggest that the Tbx6 subfamily act in the BMP signaling pathway required for embryonic patterning in both animals.

The regulatory content of intergenic DNA shapes genome architecture

The relationship between regulatory complexity and gene spacing was examined in Caenorhabditis elegans and Drosophila melanogaster. Intergenic distance, and hence genome architecture, is shaped by regulatory information contained in noncoding DNA.

Background

Factors affecting the organization and spacing of functionally unrelated genes in metazoan genomes are not well understood. Because of the vast size of a typical metazoan genome compared to known regulatory and protein-coding regions, functional DNA is generally considered to have a negligible impact on gene spacing and genome organization. In particular, it has been impossible to estimate the global impact, if any, of regulatory elements on genome architecture.

Results

To investigate this, we examined the relationship between regulatory complexity and gene spacing in Caenorhabditis elegans and Drosophila melanogaster. We found that gene density directly reflects local regulatory complexity, such that the amount of noncoding DNA between a gene and its nearest neighbors correlates positively with that gene's regulatory complexity. Genes with complex functions are flanked by significantly more noncoding DNA than genes with simple or housekeeping functions. Genes of low regulatory complexity are associated with approximately the same amount of noncoding DNA in D. melanogaster and C. elegans, while loci of high regulatory complexity are significantly larger in the more complex animal. Complex genes in C. elegans have larger 5' than 3' noncoding intervals, whereas those in D. melanogaster have roughly equivalent 5' and 3' noncoding intervals.

Conclusions

Intergenic distance, and hence genome architecture, is highly nonrandom. Rather, it is shaped by regulatory information contained in noncoding DNA. Our findings suggest that in compact genomes, the species-specific loss of nonfunctional DNA reveals a landscape of regulatory information by leaving a profile of functional DNA in its wake.

An integrated gene annotation and transcriptional profiling approach towards the full gene content of the Drosophila genome

A novel Drosophila microarray constructed on the basis of an integrated in silico/wet biology approach provides evidence for the transcription of approximately 2,600 additional genes. Validation indicates a lower limit of 2,000 novel annotations, thus raising the number of genes that make a fly.

Background

While the genome sequences for a variety of organisms are now available, the precise number of the genes encoded is still a matter of debate. For the human genome several stringent annotation approaches have resulted in the same number of potential genes, but a careful comparison revealed only limited overlap. This indicates that only the combination of different computational prediction methods and experimental evaluation of such in silico data will provide more complete genome annotations. In order to get a more complete gene content of the Drosophila melanogaster genome, we based our new D. melanogaster whole-transcriptome microarray, the Heidelberg FlyArray, on the combination of the Berkeley Drosophila Genome Project (BDGP) annotation and a novel ab initio gene prediction of lower stringency using the Fgenesh software.

Results

Here we provide evidence for the transcription of approximately 2,600 additional genes predicted by Fgenesh. Validation of the developmental profiling data by RT-PCR and in situ hybridization indicates a lower limit of 2,000 novel annotations, thus substantially raising the number of genes that make a fly.

Conclusions

The successful design and application of this novel Drosophila microarray on the basis of our integrated in silico/wet biology approach confirms our expectation that in silico approaches alone will always tend to be incomplete. The identification of at least 2,000 novel genes highlights the importance of gathering experimental evidence to discover all genes within a genome. Moreover, as such an approach is independent of homology criteria, it will allow the discovery of novel genes unrelated to known protein families or those that have not been strictly conserved between species.

The Drosophila melanogaster genome

Drosophila's importance as a model organism made it an obvious choice to be among the first genomes sequenced, and the Release 1 sequence of the euchromatic portion of the genome was published in March 2000. This accomplishment demonstrated that a whole genome shotgun (WGS) strategy could produce a reliable metazoan genome sequence. Despite the attention to sequencing methods, the nucleotide sequence is just the starting point for genome-wide analyses; at a minimum, the genome sequence must be interpreted using expressed sequence tag (EST) and complementary DNA (cDNA) evidence and computational tools to identify genes and predict the structures of their RNA and protein products. The functions of these products and the manner in which their expression and activities are controlled must then be assessed-a much more challenging task with no clear endpoint that requires a wide variety of experimental and computational methods. We first review the current state of the Drosophila melanogaster genome sequence and its structural annotation and then briefly summarize some promising approaches that are being taken to achieve an initial functional annotation.

Cell cycle-dependent and cell cycle-independent control of transcription by the Drosophila E2F/RB pathway

To determine which E2F/RB-family members are functionally important at E2F-dependent promoters, we used RNA interference (RNAi) to selectively remove each component of the dE2F/dDP/RBF pathway, and we examined the genome-wide changes in gene expression that occur when each element is missing. The results reveal a remarkable division of labor between family members. Classic E2F targets, encoding functions needed for cell cycle progression, are expressed in cycling cells and are primarily dependent on dE2F1and RBF1 for regulation. Unexpectedly, there is a second program of dE2F/RBF-dependent transcription, in which dE2F2/RBF1or dE2F2/RBF2 complexes repress gene expression in actively proliferating cells. These new E2F target genes encode differentiation factors that are transcribed in developmentally regulated and gender-specific patterns and not in a cell cycle-regulated manner. We propose that dE2F/RBF complexes should not be viewed simply as a cell cycle regulator of transcription. Instead, dE2F/RBF-mediated repression is exerted on genes that encode an assortment of cellular functions, and these effects are reversed on sets of functionally related genes in particular developmental contexts. As a result, dE2F/RBF regulation is used to link gene expression with cell cycle progression at some targets while simultaneously providing stable repression at others.

An interacting network of T-box genes directs gene expression and fate in the zebrafish mesoderm

T-box genes encode transcription factors that play critical roles in generating the vertebrate body plan. In many developmental fields, multiple T-box genes are expressed in overlapping domains, establishing broad regions in which different combinations of T-box genes are coexpressed. Here we demonstrate that three T-box genes expressed in the zebrafish mesoderm, no tail, spadetail, and tbx6, operate as a network of interacting genes to regulate region-specific gene expression and developmental fate. Loss-of-function and gain-of-function genetic analyses reveal three kinds of interactions among the T-box genes: combinatorial interactions that generate new regulatory functions, additive contributions to common developmental pathways, and competitive antagonism governing downstream gene expression. We propose that T-box genes, like Hox genes, often function within gene networks comprised of related family members.

Response delays and the structure of transcription networks

Sensory transcription networks generally control rapid and reversible gene expression responses to external stimuli. Developmental transcription networks carry out slow and irreversible temporal programs of gene expression during development. It is important to understand the design principles that underlie the structure of sensory and developmental transcription networks. Cascades, which are chains of regulatory reactions, are a basic structural element of transcription networks. When comparing databases of sensory and developmental transcription networks, a striking difference is found in the distribution of cascade lengths. Here, we suggest that delay times in the responses of the network present a design constraint that influences the network architecture. We experimentally studied the response times in simple cascades constructed of well-characterized repressors in Escherichia coli. Accurate kinetics at high temporal resolution was measured using green fluorescent protein (GFP) reporters. We find that transcription cascades can show long delays of about one cell-cycle time per cascade step. Mathematical analysis suggests that such a delay is characteristic of cascades that are designed to minimize the response times for both turning-on and turning-off gene expression. The need to achieve rapid reversible responses in sensory transcription networks may help explain the finding that long cascades are very rare in databases of E.coli and Saccharomyces cerevisiae sensory transcription networks. In contrast, long cascades are common in developmental transcription networks from sea urchin and from Drosophila melanogaster. Response delay constraints are likely to be less important for developmental networks, since they control irreversible processes on the timescale of cell-cycles. This study highlights a fundamental difference between the architecture of sensory and developmental transcription networks.

Impressive expressions: developing a systematic database of gene-expression patterns in Drosophila embryogenesis

The establishment of a database of gene-expression patterns derived from systematic high-throughput in situ hybridization studies on whole-mount Drosophila embryos, together with new information on the reannotated Drosophila genome and several recent microarray-based genomic analyses of Drosophila development, vastly increase the breadth and depth that can be reached by developmental genetics.