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Results for “regulatory element transcripts”

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PubMed2006

The identification of an internal ribosomal entry site in the 5'-untranslated region of p53 mRNA provides a novel mechanism for the regulation of its translation following DNA damage.

The tumor suppressor p53 plays a crucial role in maintaining the genetic integrity of the cell and in suppressing cell transformation. Its cellular levels are usually low and rise substantially in response to DNA damage. Although research on p53 induction following DNA damage has mainly focused on the post-translational modification of p53 by Mdm2, it is known that protein translation also contributes to p53 induction. However, the mechanisms underlying translational regulation of the p53 protein in response to DNA damage are still poorly understood. We show that p53 synthesis increases dramatically in MCF-7 cells treated with etoposide. Interestingly, this increase is accompanied by an increase in the association of the translation initiation factor eIF-4E with its binding protein 4E-BP1, an inhibitor of cap-dependent protein translation. We further identified an internal ribosomal entry site (IRES) located in the 5'-untranslated region of the p53 transcript, that is capable of driving the cap-independent translation of a downstream cistron encoding Firefly luciferase in a dicistronic expression vector. Moreover, we found that the activity of the IRES element increases in response to etoposide-induced DNA damage in MCF-7 cells. These findings provide a novel mechanism for the regulation of p53 translation in response to DNA damage.

5' Untranslated Regions↗

PubMed2005

Differential transcription of Eomes and T-bet during maturation of mouse uterine natural killer cells.

During human and rodent uterine decidualization, transient but abundant numbers of uterine natural killer (uNK) cells appear, proliferate, and differentiate. uNK cells share features with peripheral NK cells but are specialized to promote interferon-gamma (IFN-gamma)-mediated, pregnancy-associated, structural changes in maternal placental arteries. In CD8+ T cells and NK cells, the transcription factors T-bet and eomesodermin (Eomes) regulate maturation and effector functions, including IFN-gamma production. No studies are reported for uNK cells. Implantation sites in T-bet null mice, which have a defect in NK cell maturation, had uNK cells normal in morphology and number and normally modified spiral arteries. As Eomes null mice are not viable, real-time polymerase chain reaction comparisons between C57Bl/6J (B6) and alymphoid (Rag2(0/0)gammac0/0) mice were used to assess uNK cell expression of T-bet, Eomes, and the target genes IFN-gamma, granzyme A, and perforin. Gestation dated (gd) uterine tissues (mixed cell composition) and 200 morphologically homogeneous, laser-capture, microdissected uNK cells of different maturation stages were used. In uterus, Eomes transcripts greatly outnumbered those of T-bet, whether donors were nonpregnant or pregnant, and increased to gd10. In uNK cells, transcripts for T-bet, Eomes, and IFN-gamma were most abundant in mature stage cells, and transcripts for granzyme A and perforin were lower at this stage than in immature or senescent cells. Thus, Eomes dominance to T-bet discriminates regulation of the uNK cell subset from that observed for peripheral NK cells.

Animals↗

PubMed2006

Interplay of the SUMO and MAP kinase pathways.

The SUMO modification pathway has been linked with controlling the activity of numerous transcriptional regulatory proteins. In the majority of substrates studied so far, sumoylation imparts repressive properties. In several cases, part of this mechanism has been shown to be due to SUMO-dependent recruitment of histone deacetylases (HDACs). This is exemplified by the transcription factor Elk-1, where HDAC-2 is specifically recruited in response to sumoylation. Importantly, activation of the ERK MAP kinase pathway leads to Elk-1 desumoylation and HDAC loss. Furthermore, PIAS proteins can regulate the activities of transcription factors in SUMO-dependent and -independent manners. Further links between the MAP kinase pathways and PIAS proteins have been uncovered, suggesting a complex interplay been the MAP kinase and SUMO modification pathways. Here we discuss the current evidence suggesting links between the SUMO and MAP kinase pathways and point to other potential regulatory events and how these might be affected in cancer.

Animals↗

PubMed2005

PDSM, a motif for phosphorylation-dependent SUMO modification.

SUMO (small ubiquitin-like modifier) modification regulates many cellular processes, including transcription. Although sumoylation often occurs on specific lysines within the consensus tetrapeptide PsiKxE, other modifications, such as phosphorylation, may regulate the sumoylation of a substrate. We have discovered PDSM (phosphorylation-dependent sumoylation motif), composed of a SUMO consensus site and an adjacent proline-directed phosphorylation site (PsiKxExxSP). The highly conserved motif regulates phosphorylation-dependent sumoylation of multiple substrates, such as heat-shock factors (HSFs), GATA-1, and myocyte enhancer factor 2. In fact, the majority of the PDSM-containing proteins are transcriptional regulators. Within the HSF family, PDSM is conserved between two functionally distinct members, HSF1 and HSF4b, whose transactivation capacities are repressed through the phosphorylation-dependent sumoylation. As the first recurrent sumoylation determinant beyond the consensus tetrapeptide, the PDSM provides a valuable tool in predicting new SUMO substrates.

Amino Acid Motifs↗

PubMed2006

Genome-wide screening for cis-regulatory variation using a classical diallel crossing scheme.

Large-scale screening studies carried out to date for genetic variants that affect gene regulation are generally limited to descriptions of differences in allele-specific expression (ASE) detected in vivo. Allele-specific differences in gene expression provide evidence for a model whereby cis-acting genetic variation results in differential expression between alleles. Such gene surveys for regulatory variation are a first step in identifying the specific nucleotide changes that govern gene expression differences, but they leave the underlying mechanisms unexplored. Here, we propose a quantitative genetics approach to perform a genome-wide analysis of ASE differences (GASED). The GASED approach is based on a diallel design that is often used in plant breeding programs to estimate general combining abilities (GCA) of specific inbred lines and to identify high-yielding hybrid combinations of parents based on their specific combining abilities (SCAs). In a context of gene expression, the values of GCA and SCA parameters allow cis- and trans-regulatory changes to be distinguished and imbalances in gene expression to be ascribed to cis-regulatory variation. With this approach, a total of 715 genes could be identified that are likely to carry allelic polymorphisms responsible for at least a 1.5-fold allelic expression difference in a total of 10 diploid Arabidopsis thaliana hybrids. The major strength of the GASED approach, compared to other ASE detection methods, is that it is not restricted to genes with allelic transcript variants. Although a false-positive rate of 9/41 was observed, the GASED approach is a valuable pre-screening method that can accelerate systematic surveys of naturally occurring cis-regulatory variation among inbred lines for laboratory species, such as Arabidopsis, mouse, rat and fruitfly, and economically important crop species, such as corn.

Alleles↗

PubMed2006

Nucleosome structure and function.

It is now widely recognized that the packaging of genomic DNA, together with core histones, linker histones, and other functional proteins into chromatin profoundly influences nuclear processes such as transcription, replication, DNA repair, and recombination. How chromatin structure modulates the expression of knowledge encoded in eukaryotic genomes, and how these processes take place within the context of a highly complex and compacted genomic chromatin environment remains a major unresolved question in biology. Here we review recent advances in nucleosome structure and dynamics.

Animals↗

PubMed2006

PathoPlant: a platform for microarray expression data to analyze co-regulated genes involved in plant defense responses.

Plants react to pathogen attack by expressing specific proteins directed toward the infecting pathogens. This involves the transcriptional activation of specific gene sets. PathoPlant, a database on plant-pathogen interactions and signal transduction reactions, has now been complemented by microarray gene expression data from Arabidopsis thaliana subjected to pathogen infection and elicitor treatment. New web tools enable identification of plant genes regulated by specific stimuli. Sets of genes co-regulated by multiple stimuli can be displayed as well. A user-friendly web interface was created for the submission of gene sets to be analyzed. This results in a table, listing the stimuli that act either inducing or repressing on the respective genes. The search can be restricted to certain induction factors to identify, e.g. strongly up- or down-regulated genes. Up to three stimuli can be combined with the option of induction factor restriction to determine similarly regulated genes. To identify common cis-regulatory elements in co-regulated genes, a resulting gene list can directly be exported to the AthaMap database for analysis. PathoPlant is freely accessible at http://www.pathoplant.de.

Arabidopsis↗

PubMed2006

High-level heterologous gene expression in Ochrobactrum anthropi using an A-rich UP element.

DNA regions that flank a gene's promoter play an important role in determining transcription efficiency by interacting with the carboxy-terminal domain of RNA polymerase alpha-subunit. We placed an adenine-rich upstream element (UP) between -38 and -59 of the core trc promoter to enhance gene expression in Ochrobactrum anthropi up to 66-fold. The high level of expression achieved by the UP element and the N-terminus fusion of a 6xHis epitope tag facilitated detection and purification of heterologous proteins directly from O. anthropi.

Blotting, Western↗

PubMed2004

Inferring quantitative models of regulatory networks from expression data.

MOTIVATION: Genetic networks regulate key processes in living cells. Various methods have been suggested to reconstruct network architecture from gene expression data. However, most approaches are based on qualitative models that provide only rough approximations of the underlying events, and lack the quantitative aspects that are critical for understanding the proper function of biomolecular systems. RESULTS: We present fine-grained dynamical models of gene transcription and develop methods for reconstructing them from gene expression data within the framework of a generative probabilistic model. Unlike previous works, we employ quantitative transcription rates, and simultaneously estimate both the kinetic parameters that govern these rates, and the activity levels of unobserved regulators that control them. We apply our approach to expression datasets from yeast and show that we can learn the unknown regulator activity profiles, as well as the binding affinity parameters. We also introduce a novel structure learning algorithm, and demonstrate its power to accurately reconstruct the regulatory network from those datasets.

Binding Sites↗

PubMed2006

A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription.

MOTIVATION: Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular processes. This task, however, is difficult for a number of reasons: transcription factors' expression levels are often low and noisy, and many transcription factors are post-transcriptionally regulated. It is therefore useful to infer the activity of the transcription factors from the expression levels of their target genes. RESULTS: We introduce a novel probabilistic model to infer transcription factor activities from microarray data when the structure of the regulatory network is known. The model is based on regression, retaining the computational efficiency to allow genome-wide investigation, but is rendered more flexible by sampling regression coefficients independently for each gene. This allows us to determine the strength with which a transcription factor regulates each of its target genes, therefore providing a quantitative description of the transcriptional regulatory network. The probabilistic nature of the model also means that we can associate credibility intervals to our estimates of the activities. We demonstrate our model on two yeast datasets. In both cases the network structure was obtained using chromatin immunoprecipitation data. We show how predictions from our model are consistent with the underlying biology and offer novel quantitative insights into the regulatory structure of the yeast cell. AVAILABILITY: MATLAB code is available from http://umber.sbs.man.ac.uk/resources/puma.

Computer Simulation↗

PubMed1990

Structural organization of the human S-antigen gene. cDNA, amino acid, intron, exon, promoter, in vitro transcription, retina, and pineal gland.

S-Antigen (S-Ag) is a major soluble photoreceptor protein involved in the visual transduction cascade. Several S-Ag cDNAs and a gene coding for human S-Ag were isolated from cDNA and gene libraries. The gene sequences of the coding, noncoding, and 5'-flanking regions of the gene were determined. The S-Ag gene was approximately 50 kbp (kilobase pairs) in length and contained 16 exons and 15 introns. The length of most exons was less than 100 base pairs (bp) and the smallest one was only 10 bp. In contrast, the length of most introns was larger than 2 kbp, and the gene comprised 97% intron and 3% exon. The splice sites for donor and acceptor were in good agreement with the GT/AG rule. The S-Ag protein of 403 amino acid residues was translated from a mRNA of 1.9 kbp, and the mRNA was transcribed from a gene of 50 kbp. The 5'-flanking region of the gene, approximately 1.1 kbp long, had no known regulatory elements for transcription such as TATA, GC, and CCAAT boxes. Interestingly, the 5'-flanking region had promoter activity in an in vitro transcription assay using a nuclear extract of rat brain. A major transcription start site was found at 387 bp upstream from the translation start site ATG. Our results indicate that the sequence of S-Ag promoter differs from other known promoters and may, perhaps, be specific for photoreceptor rod cells and pinealocytes.

Amino Acid Sequence↗

PubMed2007

Allelic variants in HOX genes in cryptorchidism.

BACKGROUND: Cryptorchidism is one of the most common congenital anomalies and is associated with increased risk for infertility and testicular cancer later in life. Findings from animal models and small clinical studies suggest that the posterior HOX genes (paralogs 9-13) could be potential candidate genes for cryptorchidism and that the HOX genes are functionally redundant within paralogous groups. METHODS: The coding regions and exon-intron boundaries of the 16 posterior HOX genes were sequenced and analyzed in group 1 (44 nonsyndromic cryptorchidism cases and 46 healthy controls). Those specific variants found to be significantly different between cases and controls in group 1 were examined in DNA from group 2 (108 cases and 114 controls). RESULTS: A total of 57 variants was found in group 1, among which the allele frequency of 180A>G (A60A) in HOXD13 alone was significantly elevated in cases versus controls (P = 0.02). In the combined 1 + 2 group, cases were also more likely than controls to have the G allele (P = 0.002). As predicted by an exonic splicing enhancer finder program, the 180A>G (A60A) variant is expected to have an influence on the splicing of transcripts from HOXD13. In group 1, case subjects were more likely to carry multiple variants in HOXA13 and HOXD13 (P = 0.02) than controls. CONCLUSIONS: The variant 180A>G (A60A) in HOXD13 is a risk factor for cryptorchidism, and a dynamic equilibrium of genes in HOX paralog 13 is involved in the pathogenesis of cryptorchidism.

Alleles↗

PubMed2006

Potential mechanisms for astrocyte-TIMP-1 downregulation in chronic inflammatory diseases.

The pathogenesis of many neurodegenerative disorders, including human immunodeficiency virus (HIV)-1 associated dementia, is exacerbated by an imbalance between matrix metalloproteinases (MMPs) and their inhibitors, tissue inhibitors of metalloproteinases (TIMPs). In the context of disease, TIMP-1 has emerged as an important multifunctional protein capable of regulating inflammation. We previously reported differential TIMP-1 expression in acute versus chronic activation of astrocytes. This study investigates possible mechanisms underlying TIMP-1 downregulation in chronic neuroinflammation. We used interleukin (IL)-1beta as a model pro-inflammatory stimulus and measured TIMP-1 binding to extracellular matrix, cell death, receptor downregulation, TIMP-1 mRNA stability and transcriptional regulation in activated astrocytes. TIMP-1 remained localized to the cell body or was secreted into the cell supernatant. DNA fragmentation ELISA and MTT assay showed that prolonged IL-1beta activation of astrocytes induced significant astrocyte death. In acute and chronic IL-1beta-activated astrocytes, IL-1 receptor levels were not significantly different. TIMP-1 mRNA stability was measured in astrocytes and U87 astroglioma cells by real-time PCR, and TIMP-1 promoter activation was studied using TIMP-1-luciferase reporter constructs in transfected astrocytes. Our results indicated that TIMP-1 expression is regulated through multiple mechanisms. Transcriptional control and loss of mRNA stabilization are, however, the most likely primary contributors to chronic downregulation of TIMP-1. These data are important for unraveling the mechanisms underlying astrocyte responses during chronic neuroinflammation and have broader implications in other inflammatory diseases that involve MMP/TIMP imbalance.

Astrocytes↗

PubMed2006

Transcriptional regulation by competing transcription factor modules.

Gene regulatory networks lie at the heart of cellular computation. In these networks, intracellular and extracellular signals are integrated by transcription factors, which control the expression of transcription units by binding to cis-regulatory regions on the DNA. The designs of both eukaryotic and prokaryotic cis-regulatory regions are usually highly complex. They frequently consist of both repetitive and overlapping transcription factor binding sites. To unravel the design principles of these promoter architectures, we have designed in silico prokaryotic transcriptional logic gates with predefined input-output relations using an evolutionary algorithm. The resulting cis-regulatory designs are often composed of modules that consist of tandem arrays of binding sites to which the transcription factors bind cooperatively. Moreover, these modules often overlap with each other, leading to competition between them. Our analysis thus identifies a new signal integration motif that is based upon the interplay between intramodular cooperativity and intermodular competition. We show that this signal integration mechanism drastically enhances the capacity of cis-regulatory domains to integrate signals. Our results provide a possible explanation for the complexity of promoter architectures and could be used for the rational design of synthetic gene circuits.

Algorithms↗

PubMed2006

CoMoDis: composite motif discovery in mammalian genomes.

Specificity of mammalian gene regulatory regions is achieved to a large extent through the combinatorial binding of sets of transcription factors to distinct binding sites, discrete combinations of which are often referred to as regulatory modules. Identification and subsequent characterization of gene regulatory modules will be a key step in assembling transcriptional regulatory networks from gene expression profiling data, with the ultimate goal of unravelling the regulatory codes that govern gene expression in various cell types. Here we describe the new bioinformatics tool, Composite Motif Discovery (CoMoDis), which streamlines computational identification of novel regulatory modules starting from a single seed motif. Seed motifs represent binding sites conserved across mammalian species. CoMoDis facilitates novel motif discovery by automating the extraction of DNA sequences flanking seed motifs and streamlining downstream motif discovery using a variety of tools, including several that utilize phylogenetic conservation criteria. CoMoDis is available at http://hscl.cimr.cam.ac.uk/CoMoDis_portal.html.

Animals↗

PubMed2006

Effects of histone deacetylation inhibition on neuronal differentiation of embryonic mouse neural stem cells.

Neural stem cells (NSCs) are multipotent cells that have the capacity for self-renewal and for differentiation into the major cell types of the nervous system, i.e. neurons, astrocytes and oligodendrocytes. The molecular mechanisms regulating gene transcription resulting in NSC differentiation and cell lineage specification are slowly being unraveled. An important mechanism in transcriptional regulation is modulation of chromatin by histone acetylation and deacetylation, allowing or blocking the access of transcriptional factors to DNA sequences. The precise involvement of histone acetyltransferases and histone deacetylases (HDACs) in the differentiation of NSCs into mature functional neurons is still to be revealed. In this in vitro study we have investigated the effects of the HDAC inhibitor trichostatin A (TSA) on the differentiation pattern of embryonic mouse NSCs during culture in a minimal, serum-free medium, lacking any induction or growth factor. We demonstrated that under these basic conditions TSA treatment increased neuronal differentiation of the NSCs and decreased astrocyte differentiation. Most strikingly, electrophysiological recordings revealed that in our minimal culture system only TSA-treated NSC-derived neurons developed normal electrophysiological membrane properties characteristic for functional, i.e. excitable and firing, neurons. Furthermore, TSA-treated NSC-derived neurons were characterized by an increased elongation and arborization of the dendrites. Our study shows that chromatin structure modulation by HDACs plays an important role in the transcriptional regulation of the neuronal differentiation of embryonic NSCs particularly as far as the development of functional properties are concerned. Manipulation of HDAC activity may be an important tool to generate specific neuronal populations from NSCs for transplantation purposes.

Acetylation↗

PubMed2006

Genome scan for cis-regulatory DNA motifs associated with social behavior in honey bees.

Honey bees (Apis mellifera) undergo an age-related, socially regulated transition from working in the hive to foraging, which is associated with changes in the expression of thousands of genes in the brain. To begin to study the cis-regulatory code underlying this massive social regulation of gene expression, we used the newly sequenced honey bee genome to scan the promoter regions of eight sets of behaviorally related genes differentially expressed in the brain in the context of division of labor among worker bees, for 41 cis-regulatory motifs previously characterized in Drosophila melanogaster. Binding sites for the transcription factors Hairy, GAGA, Adf1, Cf1, Snail, and Dri, known to function in nervous system development, olfactory learning, or hormone binding in Drosophila, were significantly associated with one or more gene sets. The presence of some binding sites also predicted expression patterns for as many as 71% of the genes in some gene sets. These results suggest that there is a robust relationship between cis and social regulation of brain gene expression, especially considering that we studied <15% of all known transcription factors. These results also suggest that transcriptional networks involved in the regulation of development in Drosophila are used to regulate behavioral development in adult honey bees. However, differences in gene regulation between these two processes are suggested by the finding that the promoter regions for the behaviorally related bee genes differed in both motif occurrence and G/C content relative to their Drosophila orthologs.

Animals↗

PubMed2005

The Arabidopsis cold-responsive transcriptome and its regulation by ICE1.

To understand the gene network controlling tolerance to cold stress, we performed an Arabidopsis thaliana genome transcript expression profile using Affymetrix GeneChips that contain approximately 24,000 genes. We statistically determined 939 cold-regulated genes with 655 upregulated and 284 downregulated. A large number of early cold-responsive genes encode transcription factors that likely control late-responsive genes, suggesting a multitude of transcriptional cascades. In addition, many genes involved in chromatin level and posttranscriptional regulation were also cold regulated, suggesting their involvement in cold-responsive gene regulation. A number of genes important for the biosynthesis or signaling of plant hormones, such as abscisic acid, gibberellic acid, and auxin, are regulated by cold stress, which is of potential importance in coordinating cold tolerance with growth and development. We compared the cold-responsive transcriptomes of the wild type and inducer of CBF expression 1 (ice1), a mutant defective in an upstream transcription factor required for chilling and freezing tolerance. The transcript levels of many cold-responsive genes were altered in the ice1 mutant not only during cold stress but also before cold treatments. Our study provides a global picture of the Arabidopsis cold-responsive transcriptome and its control by ICE1 and will be valuable for understanding gene regulation under cold stress and the molecular mechanisms of cold tolerance.

Adaptation, Physiological↗