Abstract Motivation Chromatin accessibility plays a key role in epigenetic regulation of gene activation and silencing. Open chromatin regions allow regulatory elements such as transcription factors and polymerases to bind for gene expression while closed chromatin regions prevent the activity of transcriptional machinery. Recently, Methyltransferase Accessibility Protocol for individual templates-Bisulfite Genome Sequencing (MAPit-BGS) and nucleosome occupancy and methylome sequencing (NOMe-seq) have been developed for simultaneously profiling chromatin accessibility and DNA methylation on single molecules. Therefore, there is a great demand in developing computational methods to identify chromatin accessibility from MAPit-BGS and NOMe-seq. Results In this article, we present CAME (Chromatin Accessibility and Methylation), a seed-extension based approach that identifies chromatin accessibility from NOMe-seq. The efficiency and effectiveness of CAME were demonstrated through comparisons with other existing techniques on both simulated and real data, and the results show that our method not only can precisely identify chromatin accessibility but also outperforms other methods. Availability and Implementation CAME is implemented in java and the program is freely available online at http://sourceforge.net/projects/came/ Supplementary information Supplementary data are available at Bioinformatics online.
High fat diet and exercise lead to a disrupted and pathogenic DNA methylome in mouse liver
Abstract The Ten-eleven translocation (TET) family of dioxygenases hydroxylate 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC) in DNA. 5mC provides important epigenetic instructions during development, and its aberrant control is a major contributor to cellular transformation; however TET functions in regulating the epigenome, particularly in cancer, remain largely unknown. We targeted TET1, TET2, and TET3 for siRNA-mediated depletion in pluripotent human embryonic carcinoma cells and examined the impact on 5mC and 5hmC genome-wide localization. TET1, TET2, and TET3 co-regulate 5hmC at many sites, and depletion of only one of the TETs is sufficient to reduce 5hmC at these co-regulated sites, suggesting a functional co-dependence for TETs. Depletion of TET1 and TET2 had the greatest impact on 5hmC levels at high and low CpG density promoters, respectively, indicating that TETs exhibit DNA sequence-based functional specificity. All TETs prevent hypermethylation throughout the genome, especially in CpG island shores, where TET depletion resulted in prolific hypermethylation. Promoter hypermethylation resulting from TET depletion was associated with histone H2AK119 monoubiquitination, DNMT1, and DNMT3B occupancy. Surprisingly, TETs also promote cytosine methylation, as many loci became hypomethylated following TET depletion. Induction of differentiation generally caused 5hmC reduction, except at transcriptionally activated genes, which become enriched for 5hmC. Importantly, genes prone to promoter hypermethylation in cancer become depleted of intragenic 5hmC and 5mC with TET deficiency. This study highlights the multi-dimensional functions of TETs in mediating DNA methylation, hydroxymethylation, and gene expression patterns, and the results reveal that chromatin landscape and DNA sequence composition are regulators of TET function. Citation Format: Emily L. Putiri, Rochelle L. Tiedemann, Jeong-Hyeon Choi, Keith D. Robertson. Dynamics of TET methylcytosine dioxygenases in 5-methylcytosine and 5-hydroxymethylcytosine patterning in human cancer cells. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2319. doi:10.1158/1538-7445.AM2014-2319
Abstract 2309: Identification of common and unique epigenetic signatures of chronic hepatitis infection and alcohol abuse in human liver disease
Abstract Dysregulation of the intrinsic DNA methylation landscape is a ubiquitous feature of human carcinogenesis, manifested by global hypomethylation and promoter-specific hypermethylation, ultimately resulting in genome instability and tumor suppressor gene silencing, respectively. Alterations in DNA methylation are particularly apparent in hepatocellular carcinoma (HCC) which afflicts roughly 750,000 new patients each year [1]. Indeed, it has been demonstrated that a variety of tumor suppressor genes (e.g. p53, E-cadherin) are hypermethylated and silenced in HCC [2-4]. Importantly, HCC is accompanied by the premalignant stage of cirrhosis in 80% of cases. One major roadblock to understanding the methylome in HCC is the presence of multiple etiologies such as Hepatitis C virus (HCV), Hepatitis B virus (HBV), and chronic alcoholism. Therefore, we performed genome-wide methylation profiling to dissect the methylation patterns of more than 170 primary liver samples to stratify etiologic and stage-specific changes in the DNA methylation landscape. Our results profile the DNA methylation landscape across normal, cirrhotic, and HCC livers in the largest study of its kind to date. We unveil distinct locus-specific and large-scale effects of HCV, HBV, and chronic alcoholism in hepatocarcinogenesis. Furthermore, analysis indicates a specific methylation profile for individual etiologies as well as conserved patterns throughout cirrhosis and hepatocellular carcinoma. Our study demonstrates that each etiology contains potential biomarkers and targets for downstream clinical therapeutics. This study is our first step toward defining the epigenome in cirrhosis and hepatocellular carcinoma and will be combined with future genomic and epimutational data (e.g. transcription, histone modifications, miRNA) to determine the true extent and interplay between epigenetic marks across different stages of liver cancer. Overall, this research has the potential to improve our understanding of epigenetics and result in diagnostic, prognostic, and therapeutic epigenetic signatures in cirrhosis and hepatocellular carcinoma, which are expected to allow for more timely and efficient detection of disease. 1. Jemal, A., et al., Global cancer statistics. CA: a cancer journal for clinicians, 2011. 61(2): p. 69-90. 2. Tischoff, I. and A. Tannapfe, DNA methylation in hepatocellular carcinoma. World journal of gastroenterology : WJG, 2008. 14(11): p. 1741-8. 3. Calvisi, D.F., et al., Mechanistic and prognostic significance of aberrant methylation in the molecular pathogenesis of human hepatocellular carcinoma. The Journal of clinical investigation, 2007. 117(9): p. 2713-22. 4. Lambert, M.P., et al., Aberrant DNA methylation distinguishes hepatocellular carcinoma associated with HBV and HCV infection and alcohol intake. Journal of hepatology, 2011. 54(4): p. 705-15. Citation Format: Ryan A. Hlady, Rochelle Tiedemann, William Puszyk, Chen Liu, Jeong-Hyeon Choi, Keith D. Robertson. Identification of common and unique epigenetic signatures of chronic hepatitis infection and alcohol abuse in human liver disease. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2309. doi:10.1158/1538-7445.AM2014-2309
iTagPlot: an accurate computation and interactive drawing tool for tag density plot
Abstract Motivation: Tag density plots are very important to intuitively reveal biological phenomena from capture-based sequencing data by visualizing the normalized read depth in a region. Results: We have developed iTagPlot to compute tag density across functional features in parallel using multicores and a grid engine and to interactively explore it in a graphical user interface. It allows us to stratify features by defining groups based on biological function and measurement, summary statistics and unsupervised clustering. Availability and implementation: http://sourceforge.net/projects/itagplot/. Contact: jechoi@gru.edu and jeochoi@gmail.com Supplementary information: Supplementary data are available at Bioinformatics online.