Browsing by Author "Furey, Terrence S"
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Item Open Access A computational screen for site selective A-to-I editing detects novel sites in neuron specific Hu proteins(2010) Ensterö, Mats; Akerborg, Orjan; Lundin, Daniel; Wang, Bei; Furey, Terrence S; Ohman, Marie; Lagergren, JensBackground: Several bioinformatic approaches have previously been used to find novel sites of ADAR mediated A-to-I RNA editing in human. These studies have discovered thousands of genes that are hyper-edited in their non-coding intronic regions, especially in alu retrotransposable elements, but very few substrates that are site-selectively edited in coding regions. Known RNA edited substrates suggest, however, that site selective A-to-I editing is particularly important for normal brain development in mammals. Results: We have compiled a screen that enables the identification of new sites of site-selective editing, primarily in coding sequences. To avoid hyper-edited repeat regions, we applied our screen to the alu-free mouse genome. Focusing on the mouse also facilitated better experimental verification. To identify candidate sites of RNA editing, we first performed an explorative screen based on RNA structure and genomic sequence conservation. We further evaluated the results of the explorative screen by determining which transcripts were enriched for A-G mismatches between the genomic template and the expressed sequence since the editing product, inosine (I), is read as guanosine (G) by the translational machinery. For expressed sequences, we only considered coding regions to focus entirely on re-coding events. Lastly, we refined the results from the explorative screen using a novel scoring scheme based on characteristics for known A-to-I edited sites. The extent of editing in the final candidate genes was verified using total RNA from mouse brain and 454 sequencing. Conclusions: Using this method, we identified and confirmed efficient editing at one site in the Gabra3 gene. Editing was also verified at several other novel sites within candidates predicted to be edited. Five of these sites are situated in genes coding for the neuron-specific RNA binding proteins HuB and HuD.Item Open Access Characterization of Gene Interaction and Assessment of Ld Matrix Measures for the Analysis of Biological Pathway Association(2009) Crosslin, David RussellLeukotrienes are arachidonic acid derivatives long known for their inflammatory properties and their involvement with a number of human diseases, most notably asthma. Recently, leukotriene-based inflammation has also been implicated in atherosclerosis: ALOX5AP and LTA4H, two genes in the leukotriene biosynthesis pathway, have been associated with various cardiovascular disease (CVD) phenotypes. To assess the role of the leukotriene pathway in CVD pathogenesis, we performed genetic association studies of ALOX5AP and LTA4H in a non-familial data set of early onset coronary artery disease. Our results support a modest role for the leukotriene pathway in atherosclerosis pathogenesis, reveal important genomic interactions within the pathway, and suggest the importance of using pathway-based modeling for evaluating the genomics of atherosclerosis susceptibility. Motivated by this need, we investigated the statistical properties of a class of matrix-based statistics to assess epistasis. We simulated multiple two-variant disease models with haplotypes to gain an understanding of pathway interactions in terms of correlation patterns. Our goal was to detect an interaction between multiple disease-causing variants by means of their linkage disequlibrium (LD) patterns with other haplotype markers. The simulated models can be summarized into three categories: 1. No epistasis in the presence of marginal effects and LD; 2. Epistasis in the presence of LD and no marginal effects; and 3. Epistasis in the presence marginal effects and LD. We then assessed previously introduced single-gene methods that compare whole matrices of Single Nucleotide Polymorphism (SNP) LD between two samples. These methods include comparing two sets of principal components, a sum-of-squared-differences comparing pairwise LD, and a contrast test that controls for background LD. We also considered a partial least-square (PLS) approach for modeling gene-gene interactions. Our results indicate that these measures can be used to assess epistasis as well as marginal effects under certain disease models. Understanding and quantifying whole-gene variation and association to disease using multiple SNPs remains a difficult task. Providing a single statistical measure per gene will facilitate combining multiple types of genomic data at a gene-level and will serve as an alternative approach to assess epistasis in genome-wide association studies. The matrix-based measures can also be used in pathway ascertainment tools that require scores on a gene-level.
Item Open Access Chromatin accessibility mapping identifies mediators of basal transcription and retinoid-induced repression of OTX2 in medulloblastoma.(PLoS One, 2014) Wortham, Matthew; Guo, Changcun; Zhang, Monica; Song, Lingyun; Lee, Bum-Kyu; Iyer, Vishwanath R; Furey, Terrence S; Crawford, Gregory E; Yan, Hai; He, YipingDespite an emerging understanding of the genetic alterations giving rise to various tumors, the mechanisms whereby most oncogenes are overexpressed remain unclear. Here we have utilized an integrated approach of genomewide regulatory element mapping via DNase-seq followed by conventional reporter assays and transcription factor binding site discovery to characterize the transcriptional regulation of the medulloblastoma oncogene Orthodenticle Homeobox 2 (OTX2). Through these studies we have revealed that OTX2 is differentially regulated in medulloblastoma at the level of chromatin accessibility, which is in part mediated by DNA methylation. In cell lines exhibiting chromatin accessibility of OTX2 regulatory regions, we found that autoregulation maintains OTX2 expression. Comparison of medulloblastoma regulatory elements with those of the developing brain reveals that these tumors engage a developmental regulatory program to drive OTX2 transcription. Finally, we have identified a transcriptional regulatory element mediating retinoid-induced OTX2 repression in these tumors. This work characterizes for the first time the mechanisms of OTX2 overexpression in medulloblastoma. Furthermore, this study establishes proof of principle for applying ENCODE datasets towards the characterization of upstream trans-acting factors mediating expression of individual genes.Item Open Access GSAASeqSP: A Toolset for Gene Set Association Analysis of RNA-Seq Data(SCIENTIFIC REPORTS, 2014-09-12) Xiong, Qing; Mukherjee, Sayan; Furey, Terrence SItem Open Access Novel Distal eQTL Analysis Demonstrates Effect of Population Genetic Architecture on Detecting and Interpreting Associations(GENETICS, 2014-11) Weiser, Matthew; Mukherjee, Sayan; Furey, Terrence SItem Open Access Studies on Human Chromatin Using High-Throughput DNaseI Sequencing(2009) Boyle, Alan PCis-elements govern the key step of transcription to regulate gene expression within a cell. Identification of utilized elements within a particular cell line will help further our understanding of individual and cumulative effects of trans-acting factors. These elements can be identified through an assay leveraging the ability of DNaseI to cut DNA that is in an open and accessible state making it hypersensitive to cleavage. Here we develop and explore computational techniques to measure open chromatin from sequencing and microarray data. We are able to identify 94,925 DNaseI hypersensitive sites genome-wide in CD4+ T cells. Interestingly, only 16%-20% of these sites were found in promoters. We also show that these regions are associated with different chromatin modifications. We found that DNaseI data can also be used to identify precise 'footprints' indicating protein-DNA interaction sites. Footprints for specific transcription factors correlate well with ChIP-seq enrichment, reveal distinct conservation patters, and reveal a cell-type specific arrangement of transcriptional regulation. These footprints can be used in addition to or in lieu of ChIP-seq data to better understand genomic regulatory systems.