共查询到20条相似文献,搜索用时 62 毫秒
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Ja-Rang Lee Chang Pyo Hong Jae-Woo Moon Yi-Deun Jung Dae-Soo Kim Tae-Hyung Kim Jeong-An Gim Jin-Han Bae Yuri Choi Jungwoo Eo Yun-Jeong Kwon Sanghoon Song Junsu Ko Young Mok Yang Hak-Kyo Lee Kyung-Do Park Kung Ahn Kyoung-Tag Do Hong-Seok Ha Kyudong Han Joo Mi Yi Hee-Jae Cha Byung-Wook Cho Jong Bhak Heui-Soo Kim 《BMC genomics》2014,15(1)
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Bo Zhang XiaoYun Xing Jing Li Rebecca F Lowdon Yan Zhou Nan Lin Baoxue Zhang Vasavi Sundaram Katherine B Chiappinelli Ian S Hagemann David G Mutch Paul J Goodfellow Ting Wang 《BMC genomics》2014,15(1)
Background
Aberrant DNA methylation is a hallmark of many cancers. Classically there are two types of endometrial cancer, endometrioid adenocarcinoma (EAC), or Type I, and uterine papillary serous carcinoma (UPSC), or Type II. However, the whole genome DNA methylation changes in these two classical types of endometrial cancer is still unknown.Results
Here we described complete genome-wide DNA methylome maps of EAC, UPSC, and normal endometrium by applying a combined strategy of methylated DNA immunoprecipitation sequencing (MeDIP-seq) and methylation-sensitive restriction enzyme digestion sequencing (MRE-seq). We discovered distinct genome-wide DNA methylation patterns in EAC and UPSC: 27,009 and 15,676 recurrent differentially methylated regions (DMRs) were identified respectively, compared with normal endometrium. Over 80% of DMRs were in intergenic and intronic regions. The majority of these DMRs were not interrogated on the commonly used Infinium 450K array platform. Large-scale demethylation of chromosome X was detected in UPSC, accompanied by decreased XIST expression. Importantly, we discovered that the majority of the DMRs harbored promoter or enhancer functions and are specifically associated with genes related to uterine development and disease. Among these, abnormal methylation of transposable elements (TEs) may provide a novel mechanism to deregulate normal endometrium-specific enhancers derived from specific TEs.Conclusions
DNA methylation changes are an important signature of endometrial cancer and regulate gene expression by affecting not only proximal promoters but also distal enhancers.Electronic supplementary material
The online version of this article (doi:10.1186/1471-2164-15-868) contains supplementary material, which is available to authorized users. 相似文献5.
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Alexandra Weyrich Tino Schüllermann Felix Heeger Marie Jeschek Camila J Mazzoni Wei Chen Kathrin Schumann Joerns Fickel 《BMC genomics》2014,15(1)
Background
DNA methylation is a heritable mechanism that acts in response to environmental changes, lifestyle and diseases by influencing gene expression in eukaryotes. Epigenetic studies of wild organisms are mandatory to understand their role in e.g. adaptational processes in the great variety of ecological niches. However, strategies to address those questions on a methylome scale are widely missing. In this study we present such a strategy and describe a whole genome sequence and methylome analysis of the wild guinea pig.Results
We generated a full Wild guinea pig (Cavia aperea) genome sequence with enhanced coverage of methylated regions, benefiting from the available sequence of the domesticated relative Cavia porcellus. This new genome sequence was then used as reference to map the sequence reads of bisulfite treated Wild guinea pig sequencing libraries to investigate DNA-methylation patterns at nucleotide-specific level, by using our here described method, named ‘DNA-enrichment-bisulfite-sequencing’ (MEBS). The results achieved using MEBS matched those of standard methods in other mammalian model species. The technique is cost efficient, and incorporates both methylation enrichment results and a nucleotide-specific resolution even without a whole genome sequence available. Thus MEBS can be easily applied to extend methylation enrichment studies to a nucleotide-specific level.Conclusions
The approach is suited to study methylomes of not yet sequenced mammals at single nucleotide resolution. The strategy is transferable to other mammalian species by applying the nuclear genome sequence of a close relative. It is therefore of interest for studies on a variety of wild species trying to answer evolutionary, adaptational, ecological or medical questions by epigenetic mechanisms.Electronic supplementary material
The online version of this article (doi:10.1186/1471-2164-15-1036) contains supplementary material, which is available to authorized users. 相似文献7.
Naoki Kubo Hidehiro Toh Kenjiro Shirane Takayuki Shirakawa Hisato Kobayashi Tetsuya Sato Hidetoshi Sone Yasuyuki Sato Shin-ichi Tomizawa Yoshinori Tsurusaki Hiroki Shibata Hirotomo Saitsu Yutaka Suzuki Naomichi Matsumoto Mikita Suyama Tomohiro Kono Kazuyuki Ohbo Hiroyuki Sasaki 《BMC genomics》2015,16(1)
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Xiaoqi Zheng Qian Zhao Hua-Jun Wu Wei Li Haiyun Wang Clifford A Meyer Qian Alvin Qin Han Xu Chongzhi Zang Peng Jiang Fuqiang Li Yong Hou Jianxing He Jun Wang Jun Wang Peng Zhang Yong Zhang Xiaole Shirley Liu 《Genome biology》2014,15(7)
We propose a statistical algorithm MethylPurify that uses regions with bisulfite reads showing discordant methylation levels to infer tumor purity from tumor samples alone. MethylPurify can identify differentially methylated regions (DMRs) from individual tumor methylome samples, without genomic variation information or prior knowledge from other datasets. In simulations with mixed bisulfite reads from cancer and normal cell lines, MethylPurify correctly inferred tumor purity and identified over 96% of the DMRs. From patient data, MethylPurify gave satisfactory DMR calls from tumor methylome samples alone, and revealed potential missed DMRs by tumor to normal comparison due to tumor heterogeneity.
Electronic supplementary material
The online version of this article (doi:10.1186/s13059-014-0419-x) contains supplementary material, which is available to authorized users. 相似文献9.
Fei Gu Mark S. Doderer Yi-Wen Huang Juan C. Roa Paul J. Goodfellow E. Lynette Kizer Tim H. M. Huang Yidong Chen 《PloS one》2013,8(4)
Background
DNA methylation of promoter CpG islands is associated with gene suppression, and its unique genome-wide profiles have been linked to tumor progression. Coupled with high-throughput sequencing technologies, it can now efficiently determine genome-wide methylation profiles in cancer cells. Also, experimental and computational technologies make it possible to find the functional relationship between cancer-specific methylation patterns and their clinicopathological parameters.Methodology/Principal Findings
Cancer methylome system (CMS) is a web-based database application designed for the visualization, comparison and statistical analysis of human cancer-specific DNA methylation. Methylation intensities were obtained from MBDCap-sequencing, pre-processed and stored in the database. 191 patient samples (169 tumor and 22 normal specimen) and 41 breast cancer cell-lines are deposited in the database, comprising about 6.6 billion uniquely mapped sequence reads. This provides comprehensive and genome-wide epigenetic portraits of human breast cancer and endometrial cancer to date. Two views are proposed for users to better understand methylation structure at the genomic level or systemic methylation alteration at the gene level. In addition, a variety of annotation tracks are provided to cover genomic information. CMS includes important analytic functions for interpretation of methylation data, such as the detection of differentially methylated regions, statistical calculation of global methylation intensities, multiple gene sets of biologically significant categories, interactivity with UCSC via custom-track data. We also present examples of discoveries utilizing the framework.Conclusions/Significance
CMS provides visualization and analytic functions for cancer methylome datasets. A comprehensive collection of datasets, a variety of embedded analytic functions and extensive applications with biological and translational significance make this system powerful and unique in cancer methylation research. CMS is freely accessible at: http://cbbiweb.uthscsa.edu/KMethylomes/. 相似文献10.
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A systematic analysis on DNA methylation and the expression of both mRNA and microRNA in bladder cancer 总被引:1,自引:0,他引:1
Zhu J Jiang Z Gao F Hu X Zhou L Chen J Luo H Sun J Wu S Han Y Yin G Chen M Han Z Li X Huang Y Zhang W Zhou F Chen T Fa P Wang Y Sun L Leng H Sun F Liu Y Ye M Yang H Cai Z Gui Y Zhang X 《PloS one》2011,6(11):e28223
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Woon Ching Lee Brian P Anton Susana Wang Primo Baybayan Siddarth Singh Meredith Ashby Eng Guan Chua Chin Yen Tay Fanny Thirriot Mun Fai Loke Khean Lee Goh Barry J Marshall Richard J Roberts Jamuna Vadivelu 《BMC genomics》2015,16(1)
Background
The genome of the human gastric pathogen Helicobacter pylori encodes a large number of DNA methyltransferases (MTases), some of which are shared among many strains, and others of which are unique to a given strain. The MTases have potential roles in the survival of the bacterium. In this study, we sequenced a Malaysian H. pylori clinical strain, designated UM032, by using a combination of PacBio Single Molecule, Real-Time (SMRT) and Illumina MiSeq next generation sequencing platforms, and used the SMRT data to characterize the set of methylated bases (the methylome).Results
The N4-methylcytosine and N6-methyladenine modifications detected at single-base resolution using SMRT technology revealed 17 methylated sequence motifs corresponding to one Type I and 16 Type II restriction-modification (R-M) systems. Previously unassigned methylation motifs were now assigned to their respective MTases-coding genes. Furthermore, one gene that appears to be inactive in the H. pylori UM032 genome during normal growth was characterized by cloning.Conclusion
Consistent with previously-studied H. pylori strains, we show that strain UM032 contains a relatively large number of R-M systems, including some MTase activities with novel specificities. Additional studies are underway to further elucidating the biological significance of the R-M systems in the physiology and pathogenesis of H. pylori.Electronic supplementary material
The online version of this article (doi:10.1186/s12864-015-1585-2) contains supplementary material, which is available to authorized users. 相似文献13.
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Marion Martin Pierre-Benoit Ancey Marie-Pierre Cros Geoffroy Durand Florence Le Calvez-Kelm Hector Hernandez-Vargas Zdenko Herceg 《BMC genomics》2014,15(1)
Background
Distinct subpopulations of neoplastic cells within tumors, including hepatocellular carcinoma (HCC), display pronounced ability to initiate new tumors and induce metastasis. Recent evidence suggests that signals from transforming growth factor beta (TGF-β) may increase the survival of these so called tumor initiating cells leading to poor HCC prognosis. However, how TGF-β establishes and modifies the key features of these cell subpopulations is not fully understood.Results
In the present report we describe the differential DNA methylome of CD133-negative and CD133-expressing liver cancer cells. Next, we show that TGF-β is able to increase the proportion of CD133+ cells in liver cancer cell lines in a way that is stable and persistent across cell division. This process is associated with stable genome-wide changes in DNA methylation that persist through cell division. Differential methylation in response to TGF-β is under-represented at promoter CpG islands and enriched at gene bodies, including a locus in the body of the de novo DNA methyl-transferase DNMT3B gene. Moreover, phenotypic changes induced by TGF-β, including the induction of CD133, are impaired by siRNA silencing of de novo DNA methyl-transferases.Conclusions
Our study reveals a self-perpetuating crosstalk between TGF-β signaling and the DNA methylation machinery, which can be relevant in the establishment of cellular phenotypes. This is the first indication of the ability of TGF-β to induce genome-wide changes in DNA methylation, resulting in a stable change in the proportion of liver cancer cell subpopulations.Electronic supplementary material
The online version of this article (doi:10.1186/1471-2164-15-435) contains supplementary material, which is available to authorized users. 相似文献15.
Xue Lin Jan Stenvang Mads Heilskov Rasmussen Shida Zhu Niels Frank Jensen Line S Tarpgaard Guangxia Yang Kirstine Belling Claus Lindbjerg Andersen Jian Li Lars Bolund Nils Brünner 《BMC genomics》2015,16(1)
Background
Irinotecan (SN38) and oxaliplatin are chemotherapeutic agents used in the treatment of colorectal cancer. However, the frequent development of resistance to these drugs represents a considerable challenge in the clinic. Alus as retrotransposons comprise 11% of the human genome. Genomic toxicity induced by carcinogens or drugs can reactivate Alus by altering DNA methylation. Whether or not reactivation of Alus occurs in SN38 and oxaliplatin resistance remains unknown.Results
We applied reduced representation bisulfite sequencing (RRBS) to investigate the DNA methylome in SN38 or oxaliplatin resistant colorectal cancer cell line models. Moreover, we extended the RRBS analysis to tumor tissue from 14 patients with colorectal cancer who either did or did not benefit from capecitabine + oxaliplatin treatment. For the clinical samples, we applied a concept of ‘DNA methylation entropy’ to estimate the diversity of DNA methylation states of the identified resistance phenotype-associated methylation loci observed in the cell line models. We identified different loci being characteristic for the different resistant cell lines. Interestingly, 53% of the identified loci were Alu sequences- especially the Alu Y subfamily. Furthermore, we identified an enrichment of Alu Y sequences that likely results from increased integration of new copies of Alu Y sequence in the drug-resistant cell lines. In the clinical samples, SOX1 and other SOX gene family members were shown to display variable DNA methylation states in their gene regions. The Alu Y sequences showed remarkable variation in DNA methylation states across the clinical samples.Conclusion
Our findings imply a crucial role of Alu Y in colorectal cancer drug resistance. Our study underscores the complexity of colorectal cancer aggravated by mobility of Alu elements and stresses the importance of personalized strategies, using a systematic and dynamic view, for effective cancer therapy.Electronic supplementary material
The online version of this article (doi:10.1186/s12864-015-1552-y) contains supplementary material, which is available to authorized users. 相似文献16.
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Nina S McCarthy Phillip E Melton Gemma Cadby Seyhan Yazar Maria Franchina Eric K Moses David A Mackey Alex W Hewitt 《BMC genomics》2014,15(1)
Background
Several individual studies have suggested that autosomal CpG methylation differs by sex both in terms of individual CpG sites and global autosomal CpG methylation. However, these findings have been inconsistent and plagued by spurious associations due to the cross reactivity of CpG probes on commercial microarrays. We collectively analysed 76 published studies (n = 6,795) for sex-associated differences in both autosomal and sex chromosome CpG sites.Results
Overall autosomal methylation profiles varied substantially by study, and we encountered substantial batch effects. We accounted for these by conducting random effects meta-analysis for individual autosomal CpG methylation associations. After excluding non-specific probes, we found 184 autosomal CpG sites differentially methylated by sex after correction for multiple testing. In line with previous studies, average beta differences were small. Many of the most significantly associated CpG probes were new. Of note was differential CpG methylation in the promoters of genes thought to be involved in spermatogenesis and male fertility, such as SLC9A2, SPESP1, CRISP2, and NUPL1. Pathway analysis revealed overrepresentation of genes differentially methylated by sex in several broad Gene Ontology biological processes, including RNA splicing and DNA repair.Conclusions
This study represents a comprehensive analysis of sex-specific methylation patterns. We demonstrate the existence of sex-specific methylation profiles and report a large number of novel DNA methylation differences in autosomal CpG sites between sexes.Electronic supplementary material
The online version of this article (doi:10.1186/1471-2164-15-981) contains supplementary material, which is available to authorized users. 相似文献18.
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Ruth Pidsley Joana Viana Eilis Hannon Helen Spiers Claire Troakes Safa Al-Saraj Naguib Mechawar Gustavo Turecki Leonard C Schalkwyk Nicholas J Bray Jonathan Mill 《Genome biology》2014,15(10)