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PubMed2005

Prediction of regulatory modules comprising microRNAs and target genes.

MOTIVATION: MicroRNAs (miRNAs) are small endogenous RNAs that can play important regulatory roles via the RNA-interference pathway by targeting mRNAs for cleavage or translational repression. We propose a computational method to predict miRNA regulatory modules (MRMs) or groups of miRNAs and target genes that are believed to participate cooperatively in post-transcriptional gene regulation. RESULTS: We tested our method with the human genes and miRNAs, predicting 431 MRMs. We analyze a module with genes: BTG2, WT1, PPM1D, PAK7 and RAB9B, and miRNAs: miR-15a and miR-16. Review of the literature and annotation with Gene Ontology terms reveal that the roles of these genes can indeed be closely related in specific biological processes, such as gene regulation involved in breast, renal and prostate cancers. Furthermore, it has been reported that miR-15a and miR-16 are deleted together in certain types of cancer, suggesting a possible connection between these miRNAs and cancers. Given that most known functionalities of miRNAs are related to negative gene regulation, extending our approach and exploiting the insight thus obtained may provide clues to achieving practical accuracy in the reverse-engineering of gene regulatory networks. AVAILABILITY: A list of predicted modules is available from the authors upon request.

Algorithms↗

PubMed2006

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↗

PubMed2006

Experimental validation of predicted mammalian erythroid cis-regulatory modules.

Multiple alignments of genome sequences are helpful guides to functional analysis, but predicting cis-regulatory modules (CRMs) accurately from such alignments remains an elusive goal. We predict CRMs for mammalian genes expressed in red blood cells by combining two properties gleaned from aligned, noncoding genome sequences: a positive regulatory potential (RP) score, which detects similarity to patterns in alignments distinctive for regulatory regions, and conservation of a binding site motif for the essential erythroid transcription factor GATA-1. Within eight target loci, we tested 75 noncoding segments by reporter gene assays in transiently transfected human K562 cells and/or after site-directed integration into murine erythroleukemia cells. Segments with a high RP score and a conserved exact match to the binding site consensus are validated at a good rate (50%-100%, with rates increasing at higher RP), whereas segments with lower RP scores or nonconsensus binding motifs tend to be inactive. Active DNA segments were shown to be occupied by GATA-1 protein by chromatin immunoprecipitation, whereas sites predicted to be inactive were not occupied. We verify four previously known erythroid CRMs and identify 28 novel ones. Thus, high RP in combination with another feature of a CRM, such as a conserved transcription factor binding site, is a good predictor of functional CRMs. Genome-wide predictions based on RP and a large set of well-defined transcription factor binding sites are available through servers at http://www.bx.psu.edu/.

Amino Acid Motifs↗

PubMed2000

A single regulatory module of the carbamoylphosphate synthetase I gene executes its hepatic program of expression.

A 469-base pair (bp) upstream regulatory fragment (URF) and the proximal promoter of the carbamoylphosphate synthetase I (CPS) gene were analyzed for their role in the regulation of spatial, developmental, and hormone-induced expression in vivo. The URF is essential and sufficient for hepatocyte-specific expression, periportal localization, perinatal activation and induction by glucocorticoids, and cAMP in transgenic mice. Before birth, the transgene is silent but can be induced by cAMP and glucocorticoids, indicating that these compounds are responsible for the activation of expression at birth. A 102-bp glucocorticoid response unit within the URF, containing binding sites for HNF3, C/EBP, and the glucocorticoid receptor, is the main determinant of the hepatocyte-specific and hormone-controlled activity. Additional sequences are required for a productive interaction between this minimal response unit and the core CPS promoter. These results show that the 469-bp URF, and probably only the 102-bp glucocorticoid response unit, functions as a regulatory module, in that it autonomously executes a correct spatial, developmental and hormonal program of CPS expression in the liver.

3T3 Cells↗

PubMed2003

Computational detection of cis -regulatory modules.

MOTIVATION: The transcriptional regulation of a metazoan gene depends on the cooperative action of multiple transcription factors that bind to cis-regulatory modules (CRMs) located in the neighborhood of the gene. By integrating multiple signals, CRMs confer an organism specific spatial and temporal rate of transcription. RESULTS: Based on the hypothesis that genes that are needed in exactly the same conditions might share similar regulatory switches, we have developed a novel methodology to find CRMs in a set of coexpressed or coregulated genes. The ModuleSearcher algorithm finds for a given gene set the best scoring combination of transcription factor binding sites within a sequence window using an A(*)procedure for tree searching. To keep the level of noise low, we use DNA sequences that are most likely to contain functional cis-regulatory information, namely conserved regions between human and mouse orthologous genes. The ModuleScanner performs genomic searches with a predicted CRM or with a user-defined CRM known from the literature to find possible target genes. The validity of a set of putative targets is checked using Gene Ontology annotations. We demonstrate the use and effectiveness of the ModuleSearcher and ModuleScanner algorithms and test their specificity and sensitivity on semi-artificial data. Next, we search for a module in a cluster of gene expression profiles of human cell cycle genes. AVAILABILITY: The ModuleSearcher is available as a web service within the TOUCAN workbench for regulatory sequence analysis, which can be downloaded from http://www.esat.kuleuven.ac.be/~dna/BioI.

Algorithms↗

PubMed2004

Prediction of similarly acting cis-regulatory modules by subsequence profiling and comparative genomics in Drosophila melanogaster and D.pseudoobscura.

MOTIVATION: To date, computational searches for cis-regulatory modules (CRMs) have relied on two methods. The first, phylogenetic footprinting, has been used to find CRMs in non-coding sequence, but does not directly link DNA sequence with spatio-temporal patterns of expression. The second, based on searches for combinations of transcription factor (TF) binding motifs, has been employed in genome-wide discovery of similarly acting enhancers, but requires prior knowledge of the set of TFs acting at the CRM and the TFs' binding motifs. RESULTS: We propose a method for CRM discovery that combines aspects of both approaches in an effort to overcome their individual limitations. By treating phylogenetically footprinted non-coding regions (PFRs) as proxies for CRMs, we endeavor to find PFRs near co-regulated genes that are comprised of similar short, conserved sequences. Using Markov chains as a convenient formulation to assess similarity, we develop a sampling algorithm to search a large group of PFRs for the most similar subset. When starting with a set of genes involved in Drosophila early blastoderm development and using phylogenetic comparisons of Drosophila melanogaster and D.pseudoobscura genomes, we show here that our algorithm successfully detects known CRMs. Further, we use our similarity metric, based on Markov chain discrimination, in a genome-wide search, and uncover additional known and many candidate early blastoderm CRMs. AVAILABILITY: Software is available via http://arep.med.harvard.edu/enhancer

Algorithms↗

PubMed2007

The hallmark of AGC kinase functional divergence is its C-terminal tail, a cis-acting regulatory module.

The catalytic activities of eukaryotic protein kinases (EPKs) are regulated by movement of the C-helix, movement of the N and C lobes upon ATP binding, and movement of the activation loop upon phosphorylation. Statistical analysis of the selective constraints associated with AGC kinase functional divergence reveals conserved interactions between these regulatory regions and three regions of the C-terminal tail (C-tail): the N-lobe tether (NLT), the active-site tether (AST), and the C-lobe tether (CLT). The NLT serves as a docking site for an upstream kinase PDK1 and, upon activation, positions the C-helix within the ATP binding pocket. The AST directly interacts with the ATP binding pocket, and the CLT interacts with the interlobe linker and the alphaC-beta4 loop, which appears to serve as a hinge for C-helix movement. The C-tail is a hallmark of AGC functional divergence inasmuch as most of the conserved core residues that distinguish AGC kinases from other EPKs are associated with the NLT, AST, or CLT. Moreover, several AGC catalytic core conserved residues that interact with the C-tail strikingly diverge from the canonical residues observed at corresponding positions in nearly all other EPKs, suggesting that the catalytic core may have coevolved with the C-tail in AGC kinases. These observations, along with the fact that the C-tail is needed for catalytic activity suggests that the C-tail is a cis-acting regulatory module that can also serve as a regulatory "handle," to which trans-acting cellular components can bind to modulate activity.

Amino Acid Sequence↗

PubMed2004

Establishment of the methods for searching eukaryotic gene cis-regulatory modules.

On the basis of the knowledge of eukaryotic gene regulation, we modified the method in three aspects: (1) Searching the cis-regulatory modules (CRM) according Fasta or Blast sequence with multiple sequence and low E value, followed by mutual scoring of these sequence with Smith-Waterman algorithms and finally by clustering analysis; (2) Searching the transcription factor-binding site using International Union of Pure and Applied Chemistry, Position-Weight Matrix(PWM) and Dyed method; (3) Designing and implementation of data analysis based on the software in Windows 2000 and UNIX using object-oriented technology. The results of analysis of the major histocompatibility complex gene family show that this procedure may accurately locate the regions that contain some of the CRMs.

Computational Biology↗

PubMed2006

Computational prediction of cis-regulatory modules from multispecies alignments using Galaxy, Table Browser, and GALA.

One major goal of genomics is to identify all the functional sequences in genomes, including sequences that regulate the expression of genes. Sequence conservation is a good, albeit imperfect, guide to these functional elements. We describe how to use publicly available servers (Galaxy, the UCSC Table Browser, and GALA) to find genomic sequences whose alignments (from blastZ and multiZ) show properties associated with cis-regulatory modules, such as high conservation score, high regulatory potential score, and conserved transcription factor binding sites. Links to these servers can be accessed at http://www.bx.psu.edu/ and http://genome.ucsc.edu/.

Animals↗

PubMed2006

A specialized learner for inferring structured cis-regulatory modules.

BACKGROUND: The process of transcription is controlled by systems of transcription factors, which bind to specific patterns of binding sites in the transcriptional control regions of genes, called cis-regulatory modules (CRMs). We present an expressive and easily comprehensible CRM representation which is capable of capturing several aspects of a CRM's structure and distinguishing between DNA sequences which do or do not contain it. We also present a learning algorithm tailored for this domain, and a novel method to avoid overfitting by controlling the expressivity of the model. RESULTS: We are able to find statistically significant CRMs more often then a current state-of-the-art approach on the same data sets. We also show experimentally that each aspect of our expressive CRM model space makes a positive contribution to the learned models on yeast and fly data. CONCLUSION: Structural aspects are an important part of CRMs, both in terms of interpreting them biologically and learning them accurately. Source code for our algorithm is available at: http://www.cs.wisc.edu/~noto/crm.

Algorithms↗

PubMed1999

In vivo analysis of two striated muscle actin promoters reveals combinations of multiple regulatory modules required for skeletal and cardiac muscle-specific gene expression.

We isolated two striated muscle actin genes from medaka Oryzias latipes. OIMA1 is a skeletal muscle actin gene expressed in somitic muscle and head muscle and OIMA2 is probably a cardiac muscle actin gene expressed in both somitic and cardiac muscle. The differential transcription mechanisms for these two genes were examined in embryos by introducing fusion genes in which the OIMA1 or OIMA2 upstream region was connected to the green fluorescent protein gene. Embryos were injected with these fusion genes at the 2-cell stage. A fusion gene containing the region up to -949 of OIMA1 exhibited strong expression in somitic muscle. The coexistence of two regions, -949/-662 and -421/-201, is necessary for skeletal muscle-specific expression of OIMA1. Two E boxes and other unidentified sequences cooperatively function to achieve the full activity of the enhancer -949/-662. As for OIMA2, the region up to -520 is sufficient for strong muscle-specific expression. The region between -520 and -174 of OIMA2 is necessary for specific expression in both skeletal and cardiac muscles. In addition to the CArG box located at -140, an E-box at -430 is important for the expression in cardiac muscle as well as skeletal muscle. When the enhancers for the two muscle actin genes were switched and combined with each other's promoter, they were able to upregulate tissue-specific expression according to their origin. These results suggest that distinct expression patterns of OIMA land OIMA2 are regulated by combination of regulatory modules, each of which contains multiple regulatory elements.

Actins↗

PubMed2002

SCORE: a computational approach to the identification of cis-regulatory modules and target genes in whole-genome sequence data. Site clustering over random expectation.

A large fraction of the information content of metazoan genomes resides in the transcriptional and posttranscriptional cis-regulatory elements that collectively provide the blueprint for using the protein-coding capacity of the DNA, thus guiding the development and physiology of the entire organism. As successive whole-genome sequencing projects--including those of mice and humans--are completed, we have full access to the regulatory genome of yet another species. But our ability to decipher the cis-regulatory code, and hence to link genes into regulatory networks on a global scale, is currently very limited. Here we describe SCORE (Site Clustering Over Random Expectation), a computational method for identifying transcriptional cis-regulatory modules based on the fact that they often contain, in statistically improbable concentrations, multiple binding sites for the same transcription factor. We have carried out a Drosophila genomewide inventory of predicted binding sites for the Notch-regulated transcription factor Suppressor of Hairless [Su(H)] and found that the fly genome contains highly nonrandom clusterings of Su(H) sites over a broad range of sequence intervals. We found that the most statistically significant clusters are very heavily enriched in both known and logical targets of Su(H) binding and regulation. The utility of the SCORE approach was validated by in vivo experiments showing that proper expression of the novel gene Him in adult muscle precursor cells depends both on Su(H) gene activity and sequences that include a previously unstudied cluster of four Su(H) sites, indicating that Him is a likely direct target of Su(H).

Animals↗

PubMed2006

CO/FT regulatory module controls timing of flowering and seasonal growth cessation in trees.

Forest trees display a perennial growth behavior characterized by a multiple-year delay in flowering and, in temperate regions, an annual cycling between growth and dormancy. We show here that the CO/FT regulatory module, which controls flowering time in response to variations in daylength in annual plants, controls flowering in aspen trees. Unexpectedly, however, it also controls the short-day-induced growth cessation and bud set occurring in the fall. This regulatory mechanism can explain the ecogenetic variation in a highly adaptive trait: the critical daylength for growth cessation displayed by aspen trees sampled across a latitudinal gradient spanning northern Europe.

Adaptation, Physiological↗

PubMed2003

Conformational coupling of DHPR and RyR1 in skeletal myotubes is influenced by long-range allosterism: evidence for a negative regulatory module.

Four ryanodine receptor type 1 and 2 chimeras (R4, R9, R10, and R16) and their respective wild-type ryanodine receptors (type 1 and 2; wtRyR1 and wtRyR2) were expressed in dyspedic 1B5 to identify possible negative regulatory modules of the Ca2+ release channel that are under the influence of the dihydropyridine receptor (DHPR). Responses of intact 1B5 myotubes expressing each construct to caffeine in the absence or presence of either La3+ and Cd2+ or the organic DHPR blocker nifedipine were determined by imaging single 1B5 myotubes loaded with fluo 4. The presence of La3+ and Cd2+ or nifedipine in the external medium at concentrations known to block Ca2+ entry through the DHPRs significantly decreased the caffeine EC50 of wtRyR1 (2.80 +/- 0.12 to 0.83 +/- 0.09 mM; P < 0.05). On the other hand, DHPR blockade did not significantly alter the caffeine EC50 values of wtRyR2, chimeras R10 and R16, whereas the caffeine EC50 values of chimeras R4 and R9 were significantly increased (1.27 +/- 0.05 to 2.60 +/- 0.16 mM, and 1.15 +/- 0.03 to 2.11 +/- 0.32 mM, respectively; P < 0.05). Despite the fact that all the chimeras form fully functional Ca2+ release channels in situ, sarcoplasmic reticulum (SR) containing R4, R10, and R16 did not possess high-affinity binding of [3H]ryanodine regardless of Ca2+ concentration. These results suggest the presence of an interaction between RyR1 and the DHPR, which is not present in RyR2, that contributes negative control of SR Ca2+ release induced by direct agonists such as caffeine. Although we were unable to define the negative module using RyR1-RyR2 chimeras, they further demonstrated that the RyR is very sensitive to long-range allosterism.

Allosteric Regulation↗

PubMed2025

The SlGRAS9-SlMYC1 regulatory module controls glandular trichome formation and modulates resilience to pest in tomato.

Trichomes of aerial plant organs contribute to adaptive responses to abiotic and biotic stresses. In horticultural plants, increasing glandular trichome density is an effective breeding strategy to enhance resistance to herbivores through promoting the capacity to produce specialized metabolites. The regulatory mechanisms controlling multicellular trichome formation are only partially understood. In this study, we reveal that SlGRAS9 and SlMYC1 transcription factors form a regulatory module controlling glandular trichome formation in multiple tissues. Knockout of SlGRAS9 or overexpression of SlMYC1 in tomato leads to an increased number of type VI glandular trichomes and to higher terpenoid accumulation in leaves, petals, sepals, and fruits. Conversely, knockout of SlMYC1 results in reduced type VI glandular trichomes number and terpenoid levels. Promoter-binding and genetic interaction experiments revealed that SlGRAS9 negatively regulates the transcription of SlMYC1, indicating that the regulation of glandular trichome formation by SlGRAS9 is dependent, at least partly, on SlMYC1. Consistently, both SlGRAS9 knockout and SlMYC1 overexpression result in higher tolerance of tomato plants to spider mites and aphids. In addition to adding some of the missing components to the mechanisms controlling formation of type VI glandular trichome, our findings also uncover new targets for breeding strategies aimed at improving crop protection against pest invasion, thus ensuring crop yield resilience to climate change.

Trichomes↗

PubMed2005

Modulefinder: a tool for computational discovery of cis regulatory modules.

Regulation of gene expression occurs largely through the binding of sequence-specific transcription factors (TFs) to genomic binding sites (BSs). We present a rigorous scoring scheme, implemented as a C program termed "ModuleFinder", that evaluates the likelihood that a given genomic region is a cis regulatory module (CRM) for an input set of TFs according to its degree of: (1) homotypic site clustering; (2) heterotypic site clustering; and (3) evolutionary conservation across multiple genomes. Importantly, ModuleFinder obtains all parameters needed to appropriately weight the relative contributions of these sequence features directly from the input sequences and TFBS motifs, and does not need to first be trained. Using two previously described collections of experimentally verified CRMs in mammals and in fly as validation datasets, we show that ModuleFinder is able to identify CRMs with great sensitivity and specificity.

Amino Acid Sequence↗

PubMed2004

Mining yeast transcriptional regulatory modules from factor DNA-binding sites and gene expression data.

UNLABELLED: In eukaryotes, gene expression is controlled by various transcription factors that bind to the promoter regions. Transcription factors may act positively, negatively or not at all. Different combinations of them may also activate or repress gene expression, and form regulatory networks of transcription. Uncovering such regulatory networks is a central challenge in genomic biology. In this study, we first defined a new kind of motifs in regulatory networks, transcriptional regulatory modules (TRMs), with the form factorset --> geneset, which emphasizes the combinatorial gene control of the group of factors factorset on the group of genes geneset. Second, we developed an efficient method based on a closed itemset mining technique for finding the two most informative kinds of TRMs, closed inf-TRMs and closed sup-TRMs, from factor DNA-binding sites and gene expression profiles data. The set of all closed inf-TRMs and closed sup-TRMs is often orders of magnitude smaller than the set of all TRMs but does not loss any information. When being applied to yeast data, our method produced results that are more compact, concise and comprehensive than those from previous studies to identify and interpret the transcriptional role of regulator combinations on sets of genes. AVAILABILITY: Supplementary files: http://www.jaist.ac.jp/~h-pham/regulation/.

Algorithms↗

PubMed2002

Yin Yang 1, Oct1, and NFAT-4 form repeating, cyclosporin-sensitive regulatory modules within the murine CD21 intronic control region.

The murine complement receptor type 2 gene (Cr2/CD21) is expressed by murine B and follicular dendritic cells, but not murine T cells. We have previously shown that appropriate transcriptional control of the CD21 gene requires the CD21 promoter as well as intronic sequences. We have also demonstrated that altering chromatin structure by inhibiting histone deacetylases induces CD21 expression in murine T cells by increasing the accessibility of promoter and intronic regulatory elements. In this report, we identify seven distinct regulatory areas within the first intron of the murine CD21 gene that are conserved between mouse and human CD21 intronic sequences. EMSA competition and supershift analyses reveal the formation of multiple DNA-protein complexes at these sites that include Yin Yang 1, Oct1, and NFAT-4. NFAT-containing complexes were altered in B cells treated with the NFAT inhibitor cyclosporin A and correlated with a repression of CD21 gene transcription implicating NFAT transcriptional control. Functional data revealed that no single region conferred cell-specific reporter gene expression, but rather the entire CD21 regulatory element was required to confer cell-specific gene expression. Taken together, these data demonstrate the formation of repeating, overlapping regulatory modules, all of which are required to coordinately control the cell-specific expression of the murine CD21 gene. We propose a model in which Yin Yang 1 and Oct1 may recruit histone deacetylase to multiple sites in the CD21 intronic regulatory element in nonexpressing cells and NFAT either displaces this histone deacetylase or recruits a histone acetylase to allow the formation of a functional transcriptional complex in expressing cells.

Animals↗