Genomic roles of the HCF transcriptional regulator in "Drosophila"

Abstract : Transcriptional regulation is the result of a combination of positive and negative effectors, such as transcription factors, cofactors and chromatin modifiers. During my thesis project I studied chromatin association, and transcriptional and cell cycle regulatory functions of dHCF, the Drosophila homologue of the human protein HCF-1 (host cell factor-1). The human and Drosophila HCF proteins are synthesized as large polypeptides that are cleaved into two subunits (HCFN and HCFC), which remain associated with one another by non covalent interactions. Studies in mammalian cells over the past 20 years have been devoted to understanding the cellular functions of HCF-1 and have revealed that it is a key regulator of transcription and cell cycle regulation. In human cells, HCF-1 interacts with the histone methyltransferase Set1/Ash2 and MLL/Ash2 complexes and the histone deacetylase Sin3 complex, which are involved in transcriptional activation and repression, respectively. HCF-1 is also recruited to promoters to regulate G1 -to-S phase progression during the cell cycle by the activator transcription factors E2F1 and E2F3, and by the repressor transcription factor E2F4. HCF-1 protein structure and these interactions between HCP-1 and E2F transcriptional regulator proteins are also conserved in Drosophila. In this doctoral thesis, I use proliferating Drosophila SL2 cells to study both the genomic-binding sites of dHCF, using a combination of chromatin immunoprecipitation and ultra high throughput sequencing (ChIP-seq) analysis, and dHCF regulated genes, employing RNAi and microarray expression analysis. I show that dHCF is bound to over 7500 chromosomal sites in proliferating SL2 cells, and is located at +-200 bp relative to the transcriptional start sites of about 30% of Drosophila genes. There is also a direct relationship between dHCF promoter association and promoter- associated transcriptional activity. Thus, dHCF binding levels at promoters correlated directly with transcriptional activity. In contrast, expression studies showed that dHCF appears to be involved in both transcriptional activation and repression. Analysis of dHCF-binding sites identified nine dHCF-associated motifs, four of them linked dHCF to (i) two insulator proteins, GAGA and BEAF, (ii) the E-box motif, and (iii) a degenerated TATA-box. The dHCF-associated motifs allowed the organization of the dHCF-bound genes into five biological processes: differentiation, cell cycle and gene expression, regulation of endocytosis, and cellular localization. I further show that different mechanisms regulate dHCF association with chromatin. Despite that after dHCF cleavage the dHCFN and dHCFC subunits remain associated, the two subunits showed different affinities for chromatin and differential binding to a set of tested promoters, suggesting that dHCF could target specific promoters through each of the two subunits. Moreover, in addition to the interaction between dHCF and E2F transcription factors, the dHCF binding pattern is correlated with dE2F2 genomic 4 distribution. I show that dE2F factors are necessary for recruitment of dHCF to the promoter of a set of dHCF regulated genes. Therefore dHCF, as in mammals, is involved in regulation of G1 to S phase progression in collaboration with the dE2Fs transcription factors. In addition, gene expression arrays reveal that dHCF could indirectly regulate cell cycle progression by promoting expression of genes involved in gene expression and protein synthesis, and inhibiting expression of genes involved in cell-cell adhesion. Therefore, dHCF is an evolutionary conserved protein, which binds to many specific sites of the Drosophila genome via interaction with DNA of chromatin-binding proteins to regulate the expression of genes involved in many different cellular functions. Résumé : La regulation de la transcription est le résultat des effets positifs et négatifs des facteurs de transcription, cofacteurs et protéines effectrices qui modifient la chromatine. Pendant mon projet de thèse, j'ai étudié l'association a la chromatine, ainsi que la régulation de la transcription et du cycle cellulaire par dHCF, l'homologue chez la drosophile de la protéine humaine HCF-1 (host cell factor-1). Chez 1'humain et la V drosophile, les deux protéines HCF sont synthétisées sous la forme d'un long polypeptide, qui est ensuite coupé en deux sous-unités au centre de la protéine. Les deux sous-unités restent associées ensemble grâce a des interactions non-covalentes. Des études réalisées pendant les 20 dernières années ont permit d'établir que HCF-l et un facteur clé dans la régulation de la transcription et du cycle cellulaire. Dans les cellules humaines, HCF-1 active et réprime la transcription en interagissant avec des complexes de protéines qui activent la transcription en méthylant les histones (HMT), comme par Set1/Ash2 et MLL/Ash2, et d'autres complexes qui répriment la transcription et sont responsables de la déacétylation des histones (HDAC) comme la protéine Sin3. HCF-l est aussi recruté aux promoteurs par les activateurs de la transcription E2F l et E2F3a, et par le répresseur de la transcription E2F4 pour réguler la transition entre les phases G1 et S du cycle cellulaire. La structure de HCF-1 et les interactions entre HCF-l et les régulateurs de la transcription sont conservées chez la drosophile. Pendant ma these j'ai utilisé les cellules de la drosophile, SL2 en culture, pour étudier les endroits de liaisons de HCF-l à la chromatine, grâce a immunoprecipitation de la chromatine et du séquençage de l'ADN massif ainsi que les gènes régulés par dHCF 3 grâce a la technique de RNAi et des microarrays. Mes résultats on montré que dHCF se lie à environ 7565 endroits, et estimé a 1200 paire de bases autour des sites d'initiation de la transcription de 30% des gènes de la drosophile. J 'ai observe une relation entre dHCF et le niveau de la transcription. En effet, le niveau de liaison dHCF au promoteur corrèle avec l'activité de la transcription. Cependant, mes études d'expression ont montré que dHCF est implique dans le processus d'activation et mais aussi de répression de la transcription. L'analyse des séquences d'ADN liées par dHCF a révèle neuf motifs, quatre de ces motifs ont permis d'associer dl-ICF a deux protéines isolatrices GAGA et BEAF, au motif pour les E-boxes et a une TATA-box dégénérée. Les neuf motifs associes à dHCF ont permis d'associer les gènes lies par dHCF au promoteur a cinq processus biologiques: différentiation, cycle cellulaire, expression de gènes, régulation de l'endocytosis et la localisation cellulaire, J 'ai aussi montré qu'il y a plusieurs mécanismes qui régulent l'association de dHCF a la chromatine, malgré qu'après clivage, les deux sous-unites dHCFN and dHCFC, restent associées, elles montrent différentes affinités pour la chromatine et lient différemment un group de promoteurs, les résultats suggèrent que dHCF peut se lier aux promoteurs en utilisant chacune de ses sous-unitées. En plus de l'association de dHCF avec les facteurs de transcription dE2F s, la distribution de dHCF sur le génome corrèle avec celle du facteur de transcription dE2F2. J'ai aussi montré que les dE2Fs sont nécessaires pour le recrutement de dHCF aux promoteurs d'un sous-groupe de gènes régules par dHCF. Mes résultats ont aussi montré que chez la drosophile comme chez les humains, dl-ICF est implique dans la régulation de la progression de la phase G1 a la phase S du cycle cellulaire en collaboration avec dE2Fs. D'ailleurs, les arrays d'expression ont suggéré que dHCF pourrait réguler le cycle cellulaire de façon indirecte en activant l'expression de gènes impliqués dans l'expression génique et la synthèse de protéines, et en inhibant l'expression de gènes impliqués dans l'adhésion cellulaire. En conclusion, dHCF est une protéine, conservée dans l'évolution, qui se lie spécifiquement a beaucoup d'endroits du génome de Drosophile, grâce à l'interaction avec d'autres protéines, pour réguler l'expression des gènes impliqués dans plusieurs fonctions cellulaires.

Carbon Reservoirs in Peatlands and Forests in the Boreal Regions of Finland

Summary

The application of agricultural land rating and crop models to CO2 and climate change issues in Northern regions : the Mackenzie Basin case study

Selostus: Viljelyvyöhykkeiden ja kasvumallien soveltaminen ilmastonmuutoksen tutkimisessa: Mackenzien jokialue, Kanada

Evaluation of statistical and geostatistical models of digital soil properties mapping in tropical mountain regions

Soil properties have an enormous impact on economic and environmental aspects of agricultural production. Quantitative relationships between soil properties and the factors that influence their variability are the basis of digital soil mapping. The predictive models of soil properties evaluated in this work are statistical (multiple linear regression-MLR) and geostatistical (ordinary kriging and co-kriging). The study was conducted in the municipality of Bom Jardim, RJ, using a soil database with 208 sampling points. Predictive models were evaluated for sand, silt and clay fractions, pH in water and organic carbon at six depths according to the specifications of the consortium of digital soil mapping at the global level (GlobalSoilMap). Continuous covariates and categorical predictors were used and their contributions to the model assessed. Only the environmental covariates elevation, aspect, stream power index (SPI), soil wetness index (SWI), normalized difference vegetation index (NDVI), and b3/b2 band ratio were significantly correlated with soil properties. The predictive models had a mean coefficient of determination of 0.21. Best results were obtained with the geostatistical predictive models, where the highest coefficient of determination 0.43 was associated with sand properties between 60 to 100 cm deep. The use of a sparse data set of soil properties for digital mapping can explain only part of the spatial variation of these properties. The results may be related to the sampling density and the quantity and quality of the environmental covariates and predictive models used.

Developing scenarios of atmosphere, weather and climate for northern regions

Selostus: Ilmakehä-, sää- ja ilmastoskenaarioiden kehittäminen pohjoisille alueille

Submicroscopic deletion in patients with Williams-Beuren syndrome influences expression levels of the nonhemizygous flanking genes.

Genomic imbalance is a common cause of phenotypic abnormalities. We measured the relative expression level of genes that map within the microdeletion that causes Williams-Beuren syndrome and within its flanking regions. We found, unexpectedly, that not only hemizygous genes but also normal-copy neighboring genes show decreased relative levels of expression. Our results suggest that not only the aneuploid genes but also the flanking genes that map several megabases away from a genomic rearrangement should be considered possible contributors to the phenotypic variation in genomic disorders.

A genomewide linkage study on suicidality in major depressive disorder confirms evidence for linkage to 2p12.

Suicidal behavior is commonly associated with depression. Twin studies indicate that both suicidality and major depressive disorder (MDD) are heritable. However, epidemiological evidence suggests that the inheritance of suicidality is likely to be independent of the underlying psychiatric disorder, implying a distinct genetic contribution to suicidality. We conducted a genomewide linkage search aiming to detect genomic loci that may harbor susceptibility genes contributing to risk for suicidality in recurrent MDD. Affected sibling pair (ASP) variance components analysis was performed using the Depression Network cohort of 971 ASPs. The quantitative trait measuring suicidality as a broad phenotype, encompassing ideation and suicide attempts, was established from Schedules for Clinical Assessment in Neuropsychiatry interview items. We examined 1,060 genotyped microsatellite markers with an average spacing of 3.3 cM. Empirical thresholds for linkage evidence were set by whole-genome simulations (LOD = 2.71 for genomewide significance, 1.71 for suggestive linkage). No genomewide significant findings were found. Marker D3S1234 on 3p14 achieved suggestive linkage and yielded a maximum LOD of 1.853 (P = 0.0017), loci 9p24.3 and 18q22-q23 achieved LOD scores >1.5. We found some support for linkage to 2p12 (LOD = 1.2, P = 0.0087) which was previously implicated in linkage studies of suicidality. Our follow-up meta-analysis of five studies showed strong linkage to this region (P = 2 × 10(-6) ). In conclusion, this study analyzed suicidality as a continuous trait in MDD. We found modest evidence for linkage on 3p14. Our meta-analysis supports previous evidence of linkage to suicidality on 2p12. Some candidate genes in these regions may plausibly be implicated in suicidality.

Manipulating the sensitivity of signal-induced repression: quantification and consequences of altered brinker gradients.

Traditionally, the analysis of gene regulatory regions suffered from the caveat that it was restricted to artificial contexts (e.g. reporter constructs of limited size). With the advent of the BAC recombineering technique, genomic constructs can now be generated to test regulatory elements in their endogenous environment. The expression of the transcriptional repressor brinker (brk) is negatively regulated by Dpp signaling. Repression is mediated by small sequence motifs, the silencer elements (SEs), that are present in multiple copies in the regulatory region of brk. In this work, we manipulated the SEs in the brk locus. We precisely quantified the effects of the individual SEs on the Brk gradient in the wing disc by employing a 1D data extraction method, followed by the quantification of the data with reference to an internal control. We found that mutating the SEs results in an expansion of the brk expression domain. However, even after mutating all predicted SEs, repression could still be observed in regions of maximal Dpp levels. Thus, our data point to the presence of additional, low affinity binding sites in the brk locus.

Comparative genomic analysis of the odorant-binding protein family in 12 Drosophila genomes: purifying selection and birth-and-death evolution

Background: Chemoreception is a widespread mechanism that is involved in critical biologic processes, including individual and social behavior. The insect peripheral olfactory system comprises three major multigene families: the olfactory receptor (Or), the gustatory receptor (Gr), and the odorant-binding protein (OBP) families. Members of the latter family establish the first contact with the odorants, and thus constitute the first step in the chemosensory transduction pathway.Results: Comparative analysis of the OBP family in 12 Drosophila genomes allowed the identification of 595 genes that encode putative functional and nonfunctional members in extant species, with 43 gene gains and 28 gene losses (15 deletions and 13 pseudogenization events). The evolution of this family shows tandem gene duplication events, progressive divergence in DNA and amino acid sequence, and prevalence of pseudogenization events in external branches of the phylogenetic tree. We observed that the OBP arrangement in clusters is maintained across the Drosophila species and that purifying selection governs the evolution of the family; nevertheless, OBP genes differ in their functional constraints levels. Finally, we detect that the OBP repertoire evolves more rapidly in the specialist lineages of the Drosophila melanogaster group (D. sechellia and D. erecta) than in their closest generalists.Conclusion: Overall, the evolution of the OBP multigene family is consistent with the birth-and-death model. We also found that members of this family exhibit different functional constraints, which is indicative of some functional divergence, and that they might be involved in some of the specialization processes that occurred through the diversification of the Drosophila genus.

Similarities and differences of polyadenylation signals in human and fly.

BACKGROUND: Cleavage of messenger RNA (mRNA) precursors is an essential step in mRNA maturation. The signal recognized by the cleavage enzyme complex has been characterized as an A rich region upstream of the cleavage site containing a motif with consensus AAUAAA, followed by a U or UG rich region downstream of the cleavage site. RESULTS: We studied these signals using exhaustive databases of cleavage sites obtained from aligning raw expressed sequence tags (EST) sequences to genomic sequences in Homo sapiens and Drosophila melanogaster. These data show that the polyadenylation signal is highly conserved in human and fly. In addition, de novo motif searches generated a refined description of the U-rich downstream sequence (DSE) element, which shows more divergence between the two species. These refined motifs are applied, within a Hidden Markov Model (HMM) framework, to predict mRNA cleavage sites. CONCLUSION: We demonstrate that the DSE is a specific motif in both human and Drosophila. These findings shed light on the sequence correlates of a highly conserved biological process, and improve in silico prediction of 3' mRNA cleavage and polyadenylation sites.

The geographical concentration of industry across Spanish Regions, 1856-1995

New economic geography models show that there may be a strong relationship between economic integration and the geographical concentration of industries. Nevertheless, this relationship is neither unique nor stable, and may follow a ?-shaped pattern in the long term. The aim of the present paper is to analyze the evolution of the geographical concentration of manufacturing across Spanish regions during the period 1856-1995. We construct several geographical concentration indices for different points in time over these 140 years. The analysis is carried out at two levels of aggregation, in regions corresponding to the NUTS-II and NUTS-III classifications. We confirm that the process of economic integration stimulated the geographical concentration of industrial activity. Nevertheless, the localization coefficients only started to fall after the beginning of the integration of the Spanish Economy into the international markets in the mid-70s, and this new path was not interrupted by Spain¿s entry in the European Union some years later

Best approach regions for potential spaces

We characterize the approach regions so that the non-tangential maximal function is of weak-type on potential spaces, for which we use a simple argument involving Carleson measure estimates.

Hundreds of variants clustered in genomic loci and biological pathways affect human height.

Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P < 0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16% of phenotypic variation (approximately 20% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.