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A reliable method to display authentic DNase I hypersensitive sites at long-ranges in single-copy genes from large genomes.

The study of eukaryotic gene transcription depends on methods to discover distal cis-acting control sequences. Comparative bioinformatics is one powerful strategy to reveal these domains, but still requires conventional wet-bench techniques to elucidate their specificity and function. The DNase I hypersensitivity assay (DHA) is also a method to identify regulatory domains, but can also suggest their function. Technically however, the classical DHA is constrained to mapping gene loci in small increments of approximately 20 kb. This limitation hinders efficient and comprehensive analysis of distal gene regions. Here, we report an improved method termed mega-DHA that extends the range of existing DHAs to facilitate assaying intervals that approach 100 kb. We demonstrate its feasibility for efficient analysis of single-copy genes within a large and complex genome by assaying 230 kb of the human ADAMTS14-perforin-paladin gene cluster in four experiments. The results identify distinct networks of regulatory domains specific to expression of perforin and its two neighboring genes.

Animals↗

Regulation of tylosin production: role of a TylP-interactive ligand.

Gamma-butyrolactones regulate secondary metabolism and, sometimes, sporulation in actinomycetes by binding to specific receptor proteins, causing their dissociation from DNA targets and releasing the latter from transcriptional repression. Previously, in engineered strains of Streptomyces lividans, we showed that TylP, a deduced gamma-butyrolactone receptor, downregulated reporter gene expression driven by tylP, tylQ or tylS promoter DNA. These genes all control tylosin production in Streptomyces fradiae. Thus, at early stages of fermentation, TylQ represses tylR whereas TylS is needed for transcriptional activation of tylR. Importantly, TylR is the key activator of tylosin-biosynthetic genes. Here, we show that HIS-tagged TylP binds to specific DNA sequences, similar to the targets for authentic gamma-butyrolactone receptors, in the promoters of tylP, tylQ and tylS. Moreover, such binding is disrupted by material produced in S. fradiae and extractable by organic solvent. That putative gamma-butyrolactone material was not produced when orf18 * was disrupted within the S. fradiae genome and only about 1% of that activity survived inactivation of orf16 *, suggesting roles for the respective gene products in gamma-butyrolactone synthesis. Continued synthesis of tylosin by the disrupted strains contrasts with other reports that loss of gamma-butyrolactones abolishes antibiotic production.

4-Butyrolactone↗

Finding optimal degenerate patterns in DNA sequences.

MOTIVATION: The problem of finding transcription factor binding sites in the upstream regions of given genes is algorithmically an interesting and challenging problem in computational biology. A degenerate pattern over a finite alphabet Sigma is a sequence of subsets of Sigma. A string over IUPAC nucleic acid codes is also a degenerate pattern over Sigma = {A, C, G, T}, and is used as one of the major patterns modeling transcription factor binding sites in the upstream regions of genes. However, it is known that the problem of finding a degenerate pattern consistent with both positive and negative string sets is in general NP-complete. Our aim is to devise a heuristic algorithm to find a degenerate pattern which is optimal for positive and negative string sets w.r.t. a given score function. RESULTS: We have proposed an enumerative algorithm called SUPERPOSITION for finding optimal degenerate patterns with a pruning technique, which works with most all reasonable score functions. The performance score of the algorithm has been compared with those of other popular motif-finding algorithms YMF, MEME and AlignACE on various sets of co-regulated genes of yeast. In the computational experiment, SUPERPOSITION has outperformed the others on several gene sets. AVAILABILITY: The python script SUPERPOSITION is available at http://www.math.kyushu-u.ac.jp/~om/softwares.html

Algorithms↗

Efficient control of gene expression in the hematopoietic system using a single Tet-on inducible lentiviral vector.

This work addresses the problem of efficient control of gene expression in the context of viral vectors, which still represents a difficult challenge. A number of lentiviral vectors incorporating the different elements of regulatable transcriptional systems have been described, but they fail to perform satisfactorily either because of a poor dynamic range of transcription levels or because they display high background activities in the uninduced state and mediocre inducer response. We report here on the systematic comparison of vector designs containing the elements of the doxycycline-inducible Tet-on system in their most advanced versions (rtTA2S-M2 transactivator and tTS(Kid) repressor). We show that a simple "all-in-one" vector can be obtained and used for efficient control of transgene expression in long-term tissue culture and in the hematopoietic system of mice following bone marrow transplantation. Using this vector, the uninduced state can be kept at background levels and induction factors of 100-fold are repeatedly obtained over months both in tissue culture and in vivo. Interestingly, the low background activity of the all-in-one vector renders the use of the tTS repressor dispensable, avoiding the problem of progressive loss of inducibility over time associated with irreversible modifications of the chromatin surrounding proviral sequences.

Animals↗

A mouse homologue of Strawberry Notch is transcriptionally regulated by Reelin signal.

Reelin is a glycoprotein secreted by specific neuronal populations of the adult and developing nervous system of vertebrates. The morphological abnormalities in the brain of reeler, the Reelin deficient mutant mice, indicate that Reelin is essential for the brain morphogenesis. However, biochemical function of Reelin signal is not well understood. Here, we examined possible function of Reelin signal in regulation of gene expression by performing a microarray analysis. We found that expression level of a mouse homologue of Strawberry Notch (mSno1) is markedly reduced in the reeler embryos. In situ hybridization showed that mSno1 is expressed in the developing nervous system colocalizing with expression of ApoER2, a Reelin receptor. Treatment of P19 cells with Reelin protein enhanced mSno1 expression. Overexpression of ApoER2 with Reelin treatment gave a synergistic effect on mSno1 expression level. These observations suggest that Reelin signal is involved in embryonic expression of a novel vertebrate gene, mSno1.

Animals↗

Regulation of alpha-synuclein expression in alcohol-preferring and -non preferring rats.

The alpha-synuclein (Snca) gene is expressed at higher levels in alcohol-naïve, inbred alcohol-preferring (iP) rats than in alcohol-non preferring (iNP) rats. Snca modulates dopamine transmission and the dopamineregic system, which play a role in mediating the rewarding properties of alcohol consumption. Thus, understanding regulation of Snca gene expression could provide insight into the relationship of Snca and alcohol consumption. To study regulation of rat Snca expression, 1,912 bp of the iP and iNP 5'-regions were cloned and sequenced. 5'-rapid amplification of cDNA ends (RACE), primer extension and RT-PCR mapped three transcription start site clusters (clusters TSS1, TSS2 and TSS3), suggesting that the Snca proximal promoter region has a complex architecture. This proximal promoter region has three TATA-less core promoters containing SP1 binding sites, initiator elements and downstream core promoter elements, which are often located in such promoters. Snca-luc constructs transiently transfected into SK-N-SH neuroblastoma cells showed that the region from - 1,912 to - 1,746 contained a strong core promoter, and that the entire approximately 2 kb region had significant promoter activity. Five polymorphisms identified between the iP and iNP in the proximal promoter region did not influence differential expression between the strains. In contrast, a single nucleotide polymorphism (SNP) at + 679 in the 3'-untranslated region (UTR) resulted in a 1.3-fold longer half-life of iP mRNA compared with iNP mRNA, which is consistent with the differential expression observed between the iP and iNP strains. These results suggest that regulation of rat Snca gene expression is complex and may contribute to alcohol preference in the iP rats.

3' Untranslated Regions↗

Glucocorticoids mobilize macrophages by transcriptionally up-regulating the exopeptidase DPP4.

Glucocorticoids are potent endogenous anti-inflammatory molecules, and their cognate receptor, glucocorticoid receptor (GR), is expressed in nearly all immune cells. Macrophages are heterogeneous immune cells having a central role in both tissue homeostasis and inflammation and also play a role in the pathogenesis of some inflammatory diseases. Paradoxically, glucocorticoids have only a limited efficacy in controlling the resolution of these macrophage-related diseases. Here, we report that the transcriptomes of monocyte-like THP-1 cells and macrophage-like THP-1 cells (THP1-MΦ) have largely conserved gene expression patterns. In contrast, the differentiation to THP1-MΦ significantly altered the sensitivity of gene transcription to glucocorticoids. Among glucocorticoid-regulated genes, we identified the exopeptidase dipeptidyl peptidase-4 (DPP4) as a critical glucocorticoid-responsive gene in THP1-MΦ. We found that GR directly induces DPP4 gene expression by binding to two glucocorticoid-responsive elements (GREs) within the DPP4 promoter. Additionally, we show that glucocorticoid-induced DPP4 expression is blocked by the GR antagonist RU-486 and by GR siRNA transfection and that DPP4 enzyme activity is reduced by DPP4 inhibitors. Of note, glucocorticoids highly stimulated macrophage mobility; unexpectedly, DPP4 mediated the glucocorticoid-induced macrophage migration, and siRNA-mediated knockdowns of GR and DPP4 blocked dexamethasone-induced THP1-MΦ migration. Moreover, glucocorticoid-induced DPP4 activation was also observed in proinflammatory M1-polarized murine macrophages, as well as peritoneal macrophages, and was associated with increased macrophage migration. Our results indicate that glucocorticoids directly up-regulate DPP4 expression and thereby induce migration in macrophages, potentially explaining why glucocorticoid therapy is less effective in controlling macrophage-dominated inflammatory disorders.

Animals↗

Searching for statistically significant regulatory modules.

MOTIVATION: The regulatory machinery controlling gene expression is complex, frequently requiring multiple, simultaneous DNA-protein interactions. The rate at which a gene is transcribed may depend upon the presence or absence of a collection of transcription factors bound to the DNA near the gene. Locating transcription factor binding sites in genomic DNA is difficult because the individual sites are small and tend to occur frequently by chance. True binding sites may be identified by their tendency to occur in clusters, sometimes known as regulatory modules. RESULTS: We describe an algorithm for detecting occurrences of regulatory modules in genomic DNA. The algorithm, called mcast, takes as input a DNA database and a collection of binding site motifs that are known to operate in concert. mcast uses a motif-based hidden Markov model with several novel features. The model incorporates motif-specific p-values, thereby allowing scores from motifs of different widths and specificities to be compared directly. The p-value scoring also allows mcast to only accept motif occurrences with significance below a user-specified threshold, while still assigning better scores to motif occurrences with lower p-values. mcast can search long DNA sequences, modeling length distributions between motifs within a regulatory module, but ignoring length distributions between modules. The algorithm produces a list of predicted regulatory modules, ranked by E-value. We validate the algorithm using simulated data as well as real data sets from fruitfly and human. AVAILABILITY: http://meme.sdsc.edu/MCAST/paper

Algorithms↗

Identification of transcription factor cooperativity via stochastic system model.

MOTIVATION: Transcription factor binding sites are known to co-occur in the same gene owing to cooperativity of the transcription factors (TFs) that bind to them. Genome-wide location data can help us understand how an individual TF regulates its target gene. Nevertheless, how TFs cooperate to regulate their target genes still needs further study. In this study, genome-wide location data and expression profiles are integrated to reveal how TFs cooperate to regulate their target genes from the stochastic system perspective. RESULTS: Based on a stochastic dynamic model, a new measurement of TF cooperativity is developed according to the regulatory abilities of cooperative TF pairs and the number of their occurrences. Our method is employed to the yeast cell cycle and reveals successfully many cooperative TF pairs confirmed by previous experiments, e.g. Swi4-Swi6 in G1/S phase and Ndd1-Fkh2 in G2/M phase. Other TF pairs with potential cooperativity mentioned in our results can provide new directions for future experiments. Finally, a cooperative TF network of cell cycle is constructed from significant cooperative TF pairs. CONTACT: bschen@ee.nthu.edu.tw SUPPLEMENTARY INFORMATION: http://www.ee.nthu.edu.tw/~bschen/cooperativity/

Binding Sites↗

Neuronal cell type-specific promoter of the alpha CaM kinase II gene is activated by Zic2, a Zic family zinc finger protein.

To understand the neuronal cell type-specific expression of Ca2+/calmodulin-dependent protein kinase II (CaM kinase II), we investigated binding proteins that specifically activated the promoter of the alpha isoform of CaM kinase II (alpha CaM kinase II). Proteins that bind the promoter sequence were found in rat brain nuclear extract by electrophoretic mobility shift assay. Then, we screened for binding proteins in a mouse brain cDNA library using the yeast one-hybrid system. Zic2, a Zic family zinc finger transcription factor, was identified as one of the binding proteins. To investigate the effect of Zic2 on the promoter activity, Zic2 cDNA was expressed with a luciferase reporter gene containing a neuronal cell type-specific promoter of alpha CaM kinase II in neuronal and non-neuronal cells. The promoter activity of alpha CaM kinase II was enhanced 1.3-5-fold in cultured neuronal cells by Zic2. The activation was varied among neuronal cell types. Zic2 also increased the promoter activity in non-neuronal cells, although the relative luciferase activites in non-neuronal cells were lower than those in neuronal cell lines. These results indicated that Zic2 was one of the proteins binding to, and regulating the activity of, the promoter of alpha CaM kinase II.

Animals↗

PReMod: a database of genome-wide mammalian cis-regulatory module predictions.

We describe PReMod, a new database of genome-wide cis-regulatory module (CRM) predictions for both the human and the mouse genomes. The prediction algorithm, described previously in Blanchette et al. (2006) Genome Res., 16, 656-668, exploits the fact that many known CRMs are made of clusters of phylogenetically conserved and repeated transcription factors (TF) binding sites. Contrary to other existing databases, PReMod is not restricted to modules located proximal to genes, but in fact mostly contains distal predicted CRMs (pCRMs). Through its web interface, PReMod allows users to (i) identify pCRMs around a gene of interest; (ii) identify pCRMs that have binding sites for a given TF (or a set of TFs) or (iii) download the entire dataset for local analyses. Queries can also be refined by filtering for specific chromosomal regions, for specific regions relative to genes or for the presence of CpG islands. The output includes information about the binding sites predicted within the selected pCRMs, and a graphical display of their distribution within the pCRMs. It also provides a visual depiction of the chromosomal context of the selected pCRMs in terms of neighboring pCRMs and genes, all of which are linked to the UCSC Genome Browser and the NCBI. PReMod: http://genomequebec.mcgill.ca/PReMod.

Algorithms↗

The frataxin-encoding operon of Caenorhabditis elegans shows complex structure and regulation.

The genome of the nematode Caenorhabditis elegans is unusual among eukaryotes, in that it contains operons. Approximately 15% of genes in the worm are clustered into groups of between two and eight genes, which are under the control of shared regulatory sequences. Polycistronic transcripts from such operons are trans-spliced, during transcription, to produce mature monocistronic messengers. The C. elegans frataxin gene, frh-1, is encoded in the operon CEOP2232. This is one of the largest operons identified thus far in the C. elegans genome. Here we describe in detail the structure of all of the coding units within this operon. The operon is composed of eight genes of a diverse nature, organized in a complex structure. We have produced transgenic strains carrying fusions between gfp and a number of genes from the operon. These constructs show complex differential expression patterns that suggest the presence of internal promoters and regulatory sequences in the operon. This organization would permit both coordinated expression and differential expression of the components of the CEOP2232 operon. The heterogeneity of the genes, and their complex expression patterns, suggests that the clustering of CEOP2232 is not due to a need for synchronized expression of genes involved in the same physiological pathway.

Animals↗

Positive and negative factors confer phase-specific circadian regulation of transcription in Arabidopsis.

The circadian clock exerts a major influence on transcriptional regulation in plants and other organisms. We have previously identified a motif called the evening element (EE) that is overrepresented in the promoters of evening-phased genes. Here, we demonstrate that multimerized EEs are necessary and sufficient to confer evening-phased circadian regulation. Although flanking sequences are not required for EE function, they can modulate EE activity. One flanking sequence, taken from the PSEUDORESPONSE REGULATOR 9 promoter, itself confers dawn-phased rhythms and has allowed us to define a new clock promoter motif (the morning element [ME]). Scanning mutagenesis reveals that both activators and repressors of gene expression act through the ME and EE. Although our experiments confirm that CIRCADIAN CLOCK ASSOCIATED 1 (CCA1) and LATE ELONGATED HYPOCOTYL (LHY) are likely to act as repressors via the EE, they also show that they have an unexpected positive effect on EE-mediated gene expression as well. We have identified a clock-regulated activity in plant extracts that binds specifically to the EE and has a phase consistent with it being an activator of expression through the EE. This activity is reduced in CCA1/LHY null plants, suggesting it may itself be part of a circadian feedback loop and perhaps explaining the reduction in EE activity in these double mutant plants.

3' Flanking Region↗

Structure of the Escherichia coli FlhDC complex, a prokaryotic heteromeric regulator of transcription.

The hetero-oligomeric complex of the FlhD and FlhC proteins (FlhDC) regulates transcription from several flagellar and non-flagellar operons in bacteria. The crystallographic structure of the Escherichia coli FlhDC complex has been solved to 3.0 A resolution, revealing a hexameric FlhD4FlhC2 assembly. In the complex, each FlhC protomer binds an FlhD2 dimer; the conformation of the dimer in the complex differs significantly from its conformation in the absence of FlhC. FlhC has a novel tertiary fold that includes a heretofore unrecognized zinc-binding site in which the ion is ligated by four cysteine residues. Gel shift experiments show that binding of the FlhDC complex to a cognate promoter bends the DNA by approximately 111 degrees . The structure of the FlhDC complex is compatible with models in which a fragment of operator DNA, at least 48 base-pairs in length, wraps around the complex and bends significantly when binding.

Base Sequence↗

Different papillomaviruses have different repertoires of transcription factor binding sites: convergence and divergence in the upstream regulatory region.

BACKGROUND: Papillomaviruses (PVs) infect stratified squamous epithelia in warm-blooded vertebrates and have undergone a complex evolutionary process. The control of the expression of the early ORFs in PVs depends on the binding of cellular and viral transcription factors to the upstream regulatory region (URR) of the virus. It is believed that there is a core of transcription factor binding sites (TFBS) common to all PVs, with additional individual differences, although most of the available information focuses only on a handful of viruses. RESULTS: We have studied the URR of sixty-one PVs, covering twenty different hosts. We have predicted the TFBS present in the URR and analysed these results by principal component analysis and genetic algorithms. The number and nature of TFBS in the URR might be much broader than thus far described, and different PVs have different repertoires of TFBS. CONCLUSION: There are common fingerprints in the URR in PVs that infect primates, although the ancestors of these viruses diverged a long time ago. Additionally, there are obvious differences between the URR of alpha and beta PVs, despite these PVs infect similar histological cell types in the same host, i.e. human. A thorough analysis of the TFBS in the URR might provide crucial information about the differential biology of cancer-associated PVs.

Binding Sites↗

A proximal E-box modulates NGF effects on rat PPT-A promoter activity in cultured dorsal root ganglia neurones.

The rat preprotachykinin A (rtPPTA) promoter fragment spanning -865+92, relative to the major transcriptional start, has previously been demonstrated to be nerve growth factor (NGF) responsive in primary cultures of rat dorsal root ganglion (DRG) neurones [Harrison, P.T., Dalziel, R.G., Ditchfield, N.A., Quinn, J.P., 1999. Neuronal-specific and nerve growth factor-inducible expression directed by the preprotachykinin-A promoter delivered by an adeno-associated virus vector. Neuroscience 94, 997-1003]. In this communication, we demonstrate that an E box element at -60, in part, regulates the activity of this rtPPT-A promoter fragment in DRG neurones in response to NGF. Differential regulation of the promoter is observed in the presence or absence of NGF when the E Box site is present. Under basal conditions binding of proteins to this -60 element may antagonise promoter activity. Hence, in the absence of NGF, mutation of the -60 E box increased reporter gene expression. Further, comparison of levels of reporter gene expression supported by both WT and mutated promoter indicate that in the presence of NGF the -60 E box element also plays a role as an activator domain. This represents a novel mechanism for NGF regulation of rtPPT-A. Similarly, an important role for this signalling pathway was observed in neonate rat DRG neuronal cultures, which require NGF for their survival, namely mutation of the -60 element resulted in higher levels of reporter gene expression.

Animals↗

Identifying cis-regulatory modules by combining comparative and compositional analysis of DNA.

MOTIVATION: Predicting cis-regulatory modules (CRMs) in higher eukaryotes is a challenging computational task. Commonly used methods to predict CRMs based on the signal of transcription factor binding sites (TFBS) are limited by prior information about transcription factor specificity. More general methods that bypass the reliance on TFBS models are needed for comprehensive CRM prediction. RESULTS: We have developed a method to predict CRMs called CisPlusFinder that identifies high density regions of perfect local ungapped sequences (PLUSs) based on multiple species conservation. By assuming that PLUSs contain core TFBS motifs that are locally overrepresented, the method attempts to capture the expected features of CRM structure and evolution. Applied to a benchmark dataset of CRMs involved in early Drosophila development, CisPlusFinder predicts more annotated CRMs than all other methods tested. Using the REDfly database, we find that some 'false positive' predictions in the benchmark dataset correspond to recently annotated CRMs. Our work demonstrates that CRM prediction methods that combine comparative genomic data with statistical properties of DNA may achieve reasonable performance when applied genome-wide in the absence of an a priori set of known TFBS motifs. AVAILABILITY: The program CisPlusFinder can be downloaded at http://jakob.genetik.uni-koeln.de/bioinformatik/people/nora/nora.html. All software is licensed under the Lesser GNU Public License (LGPL).

Algorithms↗

SUPPRESSOR OF FRIGIDA3 encodes a nuclear ACTIN-RELATED PROTEIN6 required for floral repression in Arabidopsis.

Flowering traits in winter annual Arabidopsis thaliana are conferred mainly by two genes, FRIGIDA (FRI) and FLOWERING LOCUS C (FLC). FLC acts as a flowering repressor and is regulated by multiple flowering pathways. We isolated an early-flowering mutant, suppressor of FRIGIDA3 (suf3), which also shows leaf serration, weak apical dominance, and infrequent conversion of the inflorescence shoot to a terminal flower. The suf3 mutation caused a decrease in the transcript level of FLC in both a FRI-containing line and autonomous pathway mutants. However, suf3 showed only a partial reduction of FLC transcript level, although it largely suppressed the late-flowering phenotype. In addition, the suf3 mutation caused acceleration of flowering in both 35S-FLC and a flc null mutant, indicating that SUF3 regulates additional factor(s) for the repression of flowering. SUF3 is highly expressed in the shoot apex, but the expression is not regulated by FRI, autonomous pathway genes, or vernalization. SUF3 encodes the nuclear ACTIN-RELATED PROTEIN6 (ARP6), the homolog of which in yeast is a component of an ATP-dependent chromatin-remodeling SWR1 complex. Our analyses showed that SUF3 regulates FLC expression independent of vernalization, FRI, and an autonomous pathway gene, all of which affect the histone modification of FLC chromatin. Subcellular localization using a green fluorescent protein fusion showed that Arabidopsis ARP6 is located at distinct regions of the nuclear periphery.

Actins↗