No / Chromatin structure and spatial interactions between proximal and distal gene regulatory elements, including gene core promoters and enhancers, are important in the control of gene transcription. In this issue, Oh et al. characterized an AP-1-dependent enhancer at the epidermal differentiation complex locus that establishes spatial interactions with numerous gene promoter regions at that locus.

Yes / Oxidative genome damage is an unavoidable consequence of cellular metabolism. It arises at gene regulatory elements by epigenetic demethylation during transcriptional activation1,2. Here we show that promoters are protected from oxidative damage via a process mediated by the nuclear mitotic apparatus protein NuMA (also known as NUMA1). NuMA exhibits genomic occupancy approximately 100 bp around transcription start sites. It binds the initiating form of RNA polymerase II, pause-release factors and single-strand break repair (SSBR) components such as TDP1. The binding is increased on chromatin following oxidative damage, and TDP1 enrichment at damaged chromatin is facilitated by NuMA. Depletion of NuMA increases oxidative damage at promoters. NuMA promotes transcription by limiting the polyADP-ribosylation of RNA polymerase II, increasing its availability and release from pausing at promoters. Metabolic labelling of nascent RNA identifies genes that depend on NuMA for transcription including immediate-early response genes. Complementation of NuMA-deficient cells with a mutant that mediates binding to SSBR, or a mitotic separation-of-function mutant, restores SSBR defects. These findings underscore the importance of oxidative DNA damage repair at gene regulatory elements and describe a process that fulfils this function.

Little is known about higher order chromatin structures in the human brain and their function in transcription regulation. We employed chromosome conformation capture (3C) to analyze chromatin architecture within 700 Kb surrounding the transcription start site (TSS) of the NMDA receptor and schizophrenia susceptibility gene, GRIN2B, in human and mouse cerebral cortex. Remarkably, both species showed a higher interaction between the TSS and an intronic sequence, enriched for (KRAB) Krueppel associated Box domain binding sites and selectively targeted by the (H3K9) histone 3 lysine 9 specific methyltransferase ESET/SETDB1. Transgenic mice brain cortical nuclei over-expressing Setdb1 showed increased heterochromatin-protein 1 signal at the interacting regions coupled with decreased Grin2b expression. 3C further revealed three long distant chromatin loop interactions enriched with functional enhancer specific (H3K27Ac) histone 3 lysine 27 acetylation signal in GRIN2B expressing tissue (human cortical nuclei and Human Embryonic Kidney - HEK cells). Doxycycline-induced SETDB1 over-expression decreased 2 out of 3 loop interaction frequencies suggesting a possible SETDB1-mediated transcription repression. We also report a specific looping interaction between a region 50Kb upstream of the (GAD1) Glutamic Acid Decarboxylase – 1 gene TSS and the GAD1 TSS in human brain nuclei. GAD1 catalyzes the rate limiting step in (GABA) gamma amino-butyric acid synthesis and is quintessential for inhibitory signaling in the human brain. Clinical studies in schizophrenia brain samples reveal a decreased looping interaction frequency in correspondence with a decrease in gene expression. Our findings provide evidence for the existence of transcription relevant higher order chromatin structures in human brain.

A major challenge in life sciences is the understanding of mechanisms that regulate the expression of genes. An important step towards this goal is the ability to identify transcriptional regulatory elements like binding sites for transcription factors. In computational biology, a popular approach for this task is comparative sequence analysis using both distantly as well as closely related species. Although this method has successfully identified conserved regulatory regions, the majority of binding sites can change rapidly even between closely related species. This makes it difficult to detect them using DNA sequences alone. In this thesis, we introduce two new approaches for the detection and evolutionary analysis of transcriptional elements that consider the challenges of binding site turnover. In the first part, we develop a method for detecting homologous motifs in a given set of sequences in order to obtain evidence for evolutionary events and turnover. Based on a detailed theoretical scaffold, we develop a simple, but effective and efficient heuristic for assembling local pairwise sequence alignments into a local multiple sequence alignment. This kind of multiple alignment only contains conserved motifs represented in columns which satisfy the order implied by the underlying sequences. By favoring motifs that are contained in a great range of sequences, our method is additionally able to detect even small conserved motifs. Furthermore, the calculation of the initial local pairwise alignments is generic. This allows the use of fast heuristic methods in case of large data sets while exact alignment programs can be used for small data sets where detailed information is needed. Application to artificial as well as biological data sets demonstrate the capabilities of our algorithm. In the second part, we propose a conceptually simple, but mathematically non-trivial, phenomenological model for the binding site turnover at a genomic locus. The model is based on the assumption that binding sites have a constant rate of origination and a constant decay rate per binding site. The elementary derivation of the transient probability distribution is affirmed by simulations of sequence evolution as well as biological data. Based on the derived distribution, we develop a phenomenological model of binding site number dynamics in order to detect changes in selective constraints acting on transcription factor binding sites. Using a maximum likelihood implementation as well as exploratory data analysis, we show the functionality of the model by identifying functionally important changes in the evolutionary turnover rates on biological data. Each part of this thesis leads to the development of a new program. While Tracker allows the computation of conserved homologous motifs and their representation in a local multiple alignment, Creto determines the evolutionary turnover rates for arbitrary clades of a phylogenetic tree with given binding site numbers at the final taxa. Both software tools are freely available to the scientific community for further research in this important and exciting field.

The main objective of this study was to investigate promoter sequences of putative HSR genes for the presence of unique regulatory elements and modules that might be involved in the regulation of HSR. In order to achieve this objective, an in silico promoter analysis strategy was devised, which focused on the identification of promoter sequences and regulatory elements, and modelling of promoter modules by using Genomatix software tools such as MatInspector and ModelInspector. Results showed that two modules (EGRF_SP1F_01 and SP1F_CEBP_01) were conserved in the promoter sequences of three well-known Hsp-genes (Hsp90, Hsp105β and αβ-crystallin). Screening the 60 target gene promoters for the presence of the two modules revealed that 12 genes (20 %) contained both modules. These included Moesin, Proline-4 hydroxylase, Poly(A) binding protein and Formin-binding protein. None of these genes had been previously associated with heat shock response.

The main objective of this study was to investigate promoter sequences of putative HSR genes for the presence of unique regulatory elements and modules that might be involved in the regulation of HSR. In order to achieve this objective, an in silico promoter analysis strategy was devised, which focused on the identification of promoter sequences and regulatory elements, and modelling of promoter modules by using Genomatix software tools such as MatInspector and ModelInspector. Results showed that two modules (EGRF_SP1F_01 and SP1F_CEBP_01) were conserved in the promoter sequences of three well-known Hsp-genes (Hsp90, Hsp105β and αβ-crystallin). Screening the 60 target gene promoters for the presence of the two modules revealed that 12 genes (20 %) contained both modules. These included Moesin, Proline-4 hydroxylase, Poly(A) binding protein and Formin-binding protein. None of these genes had been previously associated with heat shock response.

Thesis (M.S.)--Miami University, Dept. of Zoology, 2005. / Title from first page of PDF document. Document formatted into pages; contains [1], ix, 75 p. : ill. Includes bibliographical references (p. 69-75).

Masters of Science / The main objective of this study was to investigate promoter sequences of putative HSR genes for the presence of unique regulatory elements and modules that might be involved in the regulation of HSR. In order to achieve this objective, an in silico promoter analysis strategy was devised, which focused on the identification of promoter sequences and regulatory elements, and modelling of promoter modules by using Genomatix software tools such as MatInspector and ModelInspector. Results showed that two modules (EGRF_SP1F_01 and SP1F_CEBP_01) were conserved in the promoter sequences of three well-known Hsp-genes (Hsp90, Hsp105β and αβ-crystallin). Screening the 60 target gene promoters for the presence of the two modules revealed that 12 genes (20 %) contained both modules. These included Moesin, Proline-4 hydroxylase, Poly(A) binding protein and Formin-binding protein. None of these genes had been previously associated with heat shock response. / South Africa

Elevated levels of circulating asymmetric and symmetric dimethylarginines (ADMA and SDMA) predict and potentially contribute to end organ damage in cardiovascular diseases. Alanine-glyoxylate aminotransferase 2 (AGXT2) regulates systemic levels of ADMA and SDMA, and also of beta-aminoisobutyric acid (BAIB)-a modulator of lipid metabolism. We identified a putative binding site for hepatic nuclear factor 4 α (HNF4α) in AGXT2 promoter sequence. In a luciferase reporter assay we found a 75% decrease in activity of Agxt2 core promoter after disruption of the HNF4α binding site. Direct binding of HNF4α to Agxt2 promoter was confirmed by chromatin immunoprecipitation assay. siRNA-mediated knockdown of Hnf4a led to an almost 50% reduction in Agxt2 mRNA levels in Hepa 1–6 cells. Liver-specific Hnf4a knockout mice exhibited a 90% decrease in liver Agxt2 expression and activity, and elevated plasma levels of ADMA, SDMA and BAIB, compared to wild-type littermates. Thus we identified HNF4α as a major regulator of Agxt2 expression. Considering a strong association between human HNF4A polymorphisms and increased risk of type 2 diabetes our current findings suggest that downregulation of AGXT2 and subsequent impairment in metabolism of dimethylarginines and BAIB caused by HNF4α deficiency might contribute to development of cardiovascular complications in diabetic patients.

Changes in cis- and trans-regulatory elements are among the prime sources of genetic and phenotypical variation at species level. The introduction of cis- and trans- regulatory variation has played important roles in driving diversity, phenotypical differentiation, and evolution of humans. Therefore, variation that occurs on cis- and trans- regulatory elements becomes imperative to better understanding of human genetic diversity and its evolution. In this research, around 3360 gene regulatory factors (GRF) from the human genome were catalogued. This catalog includes genes that code for proteins that perform gene regulatory activities such DNA-depending transcription, RNA polymerase II transcription cofactor and co-repressor activity, chromatin binding and remodeling, among other 218 regulatory functions. This GRF catalog allowed us to initially explore how some GRF genes have evolved in humans, archaic humans (Neandertal and Denisovan) and non-human primate species. We discussed the likely phenotypical and medical effects that evolutionary changes in GRF genes may have introduced into the human genome; for instance, traits associated to speech and language capabilities, genomic recombination hotspots, diseases, among others. By using genome-wide datasets, we additionally looked for GRFs likely to be candidates for positive selection in three human populations: Utah Residents with Northern and Western Ancestry (CEU), Han Chinese in Beijing (CHB), and Yoruba in Ibadan (YRI). As result, we produced a set of candidates that gathers genes that may have contributed in shaping the phenotypical diversity currently observed in these populations; for instance, by introducing regulatory diversity at population-specific level. We additionally identified six GRF classes enriched for genes located in regions that are likely candidates for positive selection at population specific level. We found that out of the 41 DNA-binding GRF classes classified so far, six groups exhibited enrichment for genes located on regions that may have been under positive selection: C2H2 zinc finger, KRAB-ZNF zinc finger, Homeo domain, Tryptophan cluster, Fork head/winged helix and, and High-mobility HMG domain. We additionally identified three KRAB-ZNF gene clusters, in the chromosomes one, three, and 16, for the Asian population that exhibit regions with extended haplotype homozygosity EHH (larger than 100 kb). This EHH suggests that these regions have undergone positive selection in CHB population. Finally, considering that a representative fraction of the phenotypic diversity observed between humans and its closely related species are likely explained by changes in cis-regulatory elements (CREs), we investigated putative binding sites for the transcription factor GABPa. Using ChIP-Seq data generated from a human cell line (HEK293T), 11,619 putative GABPa CREs were found, Out of which 224 are putative human-specific. To experimentally validate the transcriptional activity of these human-specific CREs, reporter gene essays and knock-down experiments were performed. Our results supported the functionality of these human-specific GABPa CREs and suggest that at least 1,215 genes are primary targets of GABPa. Finally, further analyses depict scenarios that put together transcriptional regulation by GABPa and the evolution of particular human traits; for instance, cognitive abilities, breast morphology, lipids and glucose metabolic pathways, among others.