Eileen E. M. Furlong

Transcription factors: from enhancer binding to developmental control.

Developmental progression is driven by specific spatiotemporal domains of gene expression, which give rise to stereotypically patterned embryos even in the presence of environmental and genetic variation. Views of how transcription factors regulate gene expression are changing owing to recent genome-wide studies of transcription factor binding and RNA expression. Such studies reveal patterns that, at first glance, seem to contrast with the robustness of the developmental processes they encode. Here, we review our current knowledge of transcription factor function from genomic and genetic studies and discuss how different strategies, including extensive cooperative regulation (both direct and indirect), progressive priming of regulatory elements, and the integration of activities from multiple enhancers, confer specificity and robustness to transcriptional regulation during development.

Combinatorial binding predicts spatio-temporal cis-regulatory activity.

Development requires the establishment of precise patterns of gene expression, which are primarily controlled by transcription factors binding to cis-regulatory modules. Although transcription factor occupancy can now be identified at genome-wide scales, decoding this regulatory landscape remains a daunting challenge. Here we used a novel approach to predict spatio-temporal cis-regulatory activity based only on in vivo transcription factor binding and enhancer activity data. We generated a high-resolution atlas of cis-regulatory modules describing their temporal and combinatorial occupancy during Drosophila mesoderm development. The binding profiles of cis-regulatory modules with characterized expression were used to train support vector machines to predict five spatio-temporal expression patterns. In vivo transgenic reporter assays demonstrate the high accuracy of these predictions and reveal an unanticipated plasticity in transcription factor binding leading to similar expression. This data-driven approach does not require previous knowledge of transcription factor sequence affinity, function or expression, making it widely applicable.

Tissue-specific analysis of chromatin state identifies temporal signatures of enhancer activity during embryonic development

Chromatin modifications are associated with many aspects of gene expression, yet their role in cellular transitions during development remains elusive. Here, we use a new approach to obtain cell type–specific information on chromatin state and RNA polymerase II (Pol II) occupancy within the multicellular Drosophila melanogaster embryo. We directly assessed the relationship between chromatin modifications and the spatio-temporal activity of enhancers. Rather than having a unique chromatin state, active developmental enhancers show heterogeneous histone modifications and Pol II occupancy. Despite this complexity, combined chromatin signatures and Pol II presence are sufficient to predict enhancer activity de novo. Pol II recruitment is highly predictive of the timing of enhancer activity and seems dependent on the timing and location of transcription factor binding. Chromatin modifications typically demarcate large regulatory regions encompassing multiple enhancers, whereas local changes in nucleosome positioning and Pol II occupancy delineate single active enhancers. This cell type–specific view identifies dynamic enhancer usage, an essential step in deciphering developmental networks.

Enhancer loops appear stable during development and are associated with paused polymerase

Developmental enhancers initiate transcription and are fundamental to our understanding of developmental networks, evolution and disease. Despite their importance, the properties governing enhancer–promoter interactions and their dynamics during embryogenesis remain unclear. At the β-globin locus, enhancer–promoter interactions appear dynamic and cell-type specific, whereas at the HoxD locus they are stable and ubiquitous, being present in tissues where the target genes are not expressed. The extent to which preformed enhancer–promoter conformations exist at other, more typical, loci and how transcription is eventually triggered is unclear. Here we generated a high-resolution map of enhancer three-dimensional contacts during Drosophila embryogenesis, covering two developmental stages and tissue contexts, at unprecedented resolution. Although local regulatory interactions are common, long-range interactions are highly prevalent within the compact Drosophila genome. Each enhancer contacts multiple enhancers, and promoters with similar expression, suggesting a role in their co-regulation. Notably, most interactions appear unchanged between tissue context and across development, arising before gene activation, and are frequently associated with paused RNA polymerase. Our results indicate that the general topology governing enhancer contacts is conserved from flies to humans and suggest that transcription initiates from preformed enhancer–promoter loops through release of paused polymerase.

Dynamic Regulation by Polycomb Group Protein Complexes Controls Pattern Formation and the Cell Cycle in Drosophila

Polycomb group (PcG) proteins form conserved regulatory complexes that modify chromatin to repress transcription. Here, we report genome-wide binding profiles of PhoRC, the Drosophila PcG protein complex containing the DNA-binding factor Pho/dYY1 and dSfmbt. PhoRC constitutively occupies short Polycomb response elements (PREs) of a large set of developmental regulator genes in both embryos and larvae. The majority of these PREs are co-occupied by the PcG complexes PRC1 and PRC2. Analysis of PcG mutants shows that the PcG system represses genes required for anteroposterior, dorsoventral, and proximodistal patterning of imaginal discs and that it also represses cell cycle regulator genes. Many of these genes are regulated in a dynamic manner, and our results suggest that the PcG system restricts signaling-mediated activation of target genes to appropriate cells. Analysis of cell cycle regulators indicates that the PcG system also dynamically modulates the expression levels of certain genes, providing a possible explanation for the tumor phenotype of PcG mutants.

Ultrasensitive proteome analysis using paramagnetic bead technology.

In order to obtain a systems‐level understanding of a complex biological system, detailed proteome information is essential. Despite great progress in proteomics technologies, thorough interrogation of the proteome from quantity‐limited biological samples is hampered by inefficiencies during processing. To address these challenges, here we introduce a novel protocol using paramagnetic beads, termed Single‐Pot Solid‐Phase‐enhanced Sample Preparation (SP3). SP3 provides a rapid and unbiased means of proteomic sample preparation in a single tube that facilitates ultrasensitive analysis by outperforming existing protocols in terms of efficiency, scalability, speed, throughput, and flexibility. To illustrate these benefits, characterization of 1,000 HeLa cells and single Drosophila embryos is used to establish that SP3 provides an enhanced platform for profiling proteomes derived from sub‐microgram amounts of material. These data present a first view of developmental stage‐specific proteome dynamics in Drosophila at a single‐embryo resolution, permitting characterization of inter‐individual expression variation. Together, the findings of this work position SP3 as a superior protocol that facilitates exciting new directions in multiple areas of proteomics ranging from developmental biology to clinical applications.

YY1 and NF1 both activate the human p53 promoter by alternatively binding to a composite element, and YY1 and E1A cooperate to amplify p53 promoter activity.

A novel transcription factor binding element in the human p53 gene promoter has been characterized. It lies about 100 bp upstream of the major reported start site for human p53 gene transcription. On the basis of DNase I footprinting studies, electromobility shift assay patterns, sequence specificity of binding, the binding pattern of purified transcription factors, effects of specific antibodies, and methylation interference analysis we have identified the site as a composite element which can bind both YY1 and NF1 in an independent and mutually exclusive manner. The site is conserved in the human, rat, and mouse p53 promoters. The occupancy of the site varies in a tissue-specific manner. It binds principally YY1 in nuclear extracts of rat testis and spleen and NF1 in extracts of liver and prostate. This may facilitate tissue-specific control of p53 gene expression. When HeLa cells were transiently transfected with human p53 promoter-chloramphenicol acetyltransferase reporter constructs, a mutation in this composite element which disabled YY1 and NF1 binding caused a mean 64% reduction in basal p53 promoter activity. From mutations which selectively impaired YY1 or NF1 binding and the overexpression of YY1 or NF1 in HeLa cells we concluded that both YY1 and NF1 function as activators when bound to this site. In transient cotransfections E1A could induce the activity of the p53 promoter to a high level; 12S E1A was threefold as efficient as 13S E1A in this activity, and YY1 bound to the composite element was shown to mediate 55% of this induction. Overexpressed YY1 was shown to be able to synergistically activate the p53 promoter with E1A when not specifically bound to DNA. Deletion of an N-terminal domain of E1A, known to be required for direct E1A-YY1 interaction and E1A effects mediated through transcriptional activator p300, blocked the E1A induction of p53 promoter activity.

Developmental control of nuclear size and shape by Kugelkern and Kurzkern.

BACKGROUND The shape of a nucleus depends on the nuclear lamina, which is tightly associated with the inner nuclear membrane and on the interaction with the cytoskeleton. However, the mechanism connecting the differentiation state of a cell to the shape changes of its nucleus are not well understood. We investigated this question in early Drosophila embryos, where the nuclear shape changes from spherical to ellipsoidal together with a 2.5-fold increase in nuclear length during cellularization. RESULTS We identified two genes, kugelkern and kurzkern, required for nuclear elongation. In kugelkern- and kurzkern-depleted embryos, the nuclei reach only half the length of the wild-type nuclei at the end of cellularization. The reduced nuclear size affects chromocenter formation as marked by Heterochromatin protein 1 and expression of a specific set of genes, including early zygotic genes. kugelkern contains a putative coiled-coil domain in the N-terminal half of the protein, a nuclear localization signal (NLS), and a C-terminal CxxM-motif. The carboxyterminal CxxM motif is required for the targeting of Kugelkern to the inner nuclear membrane, where it colocalizes with lamins. Depending on the farnesylation motif, expression of kugelkern in Drosophila embryos or Xenopus cells induces overproliferation of nuclear membrane. CONCLUSIONS Kugelkern is so far the first nuclear protein, except for lamins, that contains a farnesylation site. Our findings suggest that Kugelkern is a rate-determining factor for nuclear size increase. We propose that association of farnesylated Kugelkern with the inner nuclear membrane induces expansion of nuclear surface area, allowing nuclear growth.

Model-based method for transcription factor target identification with limited data

We present a computational method for identifying potential targets of a transcription factor (TF) using wild-type gene expression time series data. For each putative target gene we fit a simple differential equation model of transcriptional regulation, and the model likelihood serves as a score to rank targets. The expression profile of the TF is modeled as a sample from a Gaussian process prior distribution that is integrated out using a nonparametric Bayesian procedure. This results in a parsimonious model with relatively few parameters that can be applied to short time series datasets without noticeable overfitting. We assess our method using genome-wide chromatin immunoprecipitation (ChIP-chip) and loss-of-function mutant expression data for two TFs, Twist, and Mef2, controlling mesoderm development in Drosophila. Lists of top-ranked genes identified by our method are significantly enriched for genes close to bound regions identified in the ChIP-chip data and for genes that are differentially expressed in loss-of-function mutants. Targets of Twist display diverse expression profiles, and in this case a model-based approach performs significantly better than scoring based on correlation with TF expression. Our approach is found to be comparable or superior to ranking based on mutant differential expression scores. Also, we show how integrating complementary wild-type spatial expression data can further improve target ranking performance.

Automated sorting of live transgenic embryos

The vast selection of Drosophila mutants is an extraordinary resource for exploring molecular events underlying development and disease. We have designed and constructed an instrument that automatically separates Drosophila embryos of one genotype from a larger population of embryos, based on a fluorescent protein marker. This instrument can also sort embryos from other species, such as Caenorhabditis elegans. The machine sorts 15 living Drosophila embryos per second with more than 99% accuracy. Sorting living embryos will solve longstanding problems, including (1) the need for large quantities of RNA from homozygous mutant embryos to use in DNA microarray or gene-chip experiments, (2) the need for large amounts of protein extract from homozygous mutant embryos for biochemical studies, for example to determine whether a multiprotein complex forms or localizes correctly in vivo when one component is missing, and (3) the need for rapid genetic screening for gene expression changes in living embryos using a fluorescent protein reporter.