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Qi JH, Huang SL, Jin SZ. Novel milestones for early esophageal carcinoma: From bench to bed. World J Gastrointest Oncol 2024; 16:1104-1118. [PMID: 38660637 PMCID: PMC11037034 DOI: 10.4251/wjgo.v16.i4.1104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/28/2024] [Accepted: 02/26/2024] [Indexed: 04/10/2024] Open
Abstract
Esophageal cancer (EC) is the seventh most common cancer worldwide, and esophageal squamous cell carcinoma (ESCC) accounts for the majority of cases of EC. To effectively diagnose and treat ESCC and improve patient prognosis, timely diagnosis in the initial phase of the illness is necessary. This article offers a detailed summary of the latest advancements and emerging technologies in the timely identification of ECs. Molecular biology and epigenetics approaches involve the use of molecular mechanisms combined with fluorescence quantitative polymerase chain reaction (qPCR), high-throughput sequencing technology (next-generation sequencing), and digital PCR technology to study endogenous or exogenous biomolecular changes in the human body and provide a decision-making basis for the diagnosis, treatment, and prognosis of diseases. The investigation of the microbiome is a swiftly progressing area in human cancer research, and microorganisms with complex functions are potential components of the tumor microenvironment. The intratumoral microbiota was also found to be connected to tumor progression. The application of endoscopy as a crucial technique for the early identification of ESCC has been essential, and with ongoing advancements in technology, endoscopy has continuously improved. With the advancement of artificial intelligence (AI) technology, the utilization of AI in the detection of gastrointestinal tumors has become increasingly prevalent. The implementation of AI can effectively resolve the discrepancies among observers, improve the detection rate, assist in predicting the depth of invasion and differentiation status, guide the pericancerous margins, and aid in a more accurate diagnosis of ESCC.
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Affiliation(s)
- Ji-Han Qi
- Department of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China
| | - Shi-Ling Huang
- Department of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China
| | - Shi-Zhu Jin
- Department of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China
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2
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Melamed A, Fitzgerald TW, Wang Y, Ma J, Birney E, Bangham CRM. Selective clonal persistence of human retroviruses in vivo: Radial chromatin organization, integration site, and host transcription. SCIENCE ADVANCES 2022; 8:eabm6210. [PMID: 35486737 PMCID: PMC9054021 DOI: 10.1126/sciadv.abm6210] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 03/16/2022] [Indexed: 06/14/2023]
Abstract
The human retroviruses HTLV-1 (human T cell leukemia virus type 1) and HIV-1 persist in vivo as a reservoir of latently infected T cell clones. It is poorly understood what determines which clones survive in the reservoir. We compared >160,000 HTLV-1 integration sites (>40,000 HIV-1 sites) from T cells isolated ex vivo from naturally infected individuals with >230,000 HTLV-1 integration sites (>65,000 HIV-1 sites) from in vitro infection to identify genomic features that determine selective clonal survival. Three statistically independent factors together explained >40% of the observed variance in HTLV-1 clonal survival in vivo: the radial intranuclear position of the provirus, its genomic distance from the centromere, and the intensity of local host genome transcription. The radial intranuclear position of the provirus and its distance from the centromere also explained ~7% of clonal persistence of HIV-1 in vivo. Selection for the intranuclear and intrachromosomal location of the provirus and host transcription intensity favors clonal persistence of human retroviruses in vivo.
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Affiliation(s)
- Anat Melamed
- Department of Infectious Diseases, Faculty of Medicine, Imperial College London, London, UK
| | | | - Yuchuan Wang
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Jian Ma
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Ewan Birney
- European Bioinformatics Institute (EMBL-EBI), Cambridge, UK
| | - Charles R. M. Bangham
- Department of Infectious Diseases, Faculty of Medicine, Imperial College London, London, UK
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3
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Chen X, Lin J, Chen Q, Liao X, Wang T, Li S, Mao L, Li Z. Identification of a Novel Epigenetic Signature CHFR as a Potential Prognostic Gene Involved in Metastatic Clear Cell Renal Cell Carcinoma. Front Genet 2021; 12:720979. [PMID: 34539751 PMCID: PMC8440929 DOI: 10.3389/fgene.2021.720979] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 08/02/2021] [Indexed: 01/21/2023] Open
Abstract
Metastasis is the main cause of clear cell renal cell carcinoma (ccRCC) treatment failure, and the key genes involved in ccRCC metastasis remain largely unknown. We analyzed the ccRCC datasets in The Cancer Genome Atlas database, comparing primary and metastatic ccRCC tumor records in search of tumor metastasis-associated genes, and then carried out overall survival, Cox regression, and receiver operating characteristic (ROC) analyses to obtain potential prognostic markers. Comprehensive bioinformatics analysis was performed to verify that the checkpoint with forkhead associated and ring finger domains (CHFR) gene is a reliable candidate oncogene, which is overexpressed in ccRCC metastatic tumor tissue, and that high expression levels of CHFR indicate a poor prognosis. A detailed analysis of the methylation of CHFR in ccRCC tumors showed that three sites within 200 bp of the transcription initiation site were significantly associated with prognosis and that hypomethylation was associated with increased CHFR gene expression levels. Knockdown of CHFR in ccRCC cells inhibited cell proliferation, colony formation, and migration ability. In summary, our findings suggest that the epigenetic signature on CHFR gene is a novel prognostic feature; furthermore, our findings offer theoretical support for the study of metastasis-related genes in ccRCC and provided new insights for the clinical treatment of the disease.
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Affiliation(s)
- Xiangling Chen
- Guangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China.,Shenzhen Key Laboratory of Genitourinary Tumor, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China.,Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Jiatian Lin
- Department of Minimally Invasive Intervention, Peking University Shenzhen Hospital, Shenzhen, China
| | | | - Ximian Liao
- Guangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China.,Shenzhen Key Laboratory of Genitourinary Tumor, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China
| | - Tongyu Wang
- Guangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China.,Shenzhen Key Laboratory of Genitourinary Tumor, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China
| | - Shi Li
- Guangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China.,Shenzhen Key Laboratory of Genitourinary Tumor, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China
| | - Longyi Mao
- Guangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China.,Shenzhen Key Laboratory of Genitourinary Tumor, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China
| | - Zesong Li
- Guangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China.,Shenzhen Key Laboratory of Genitourinary Tumor, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China
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4
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Srikulnath K, Ahmad SF, Singchat W, Panthum T. Why Do Some Vertebrates Have Microchromosomes? Cells 2021; 10:2182. [PMID: 34571831 PMCID: PMC8466491 DOI: 10.3390/cells10092182] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 08/17/2021] [Accepted: 08/17/2021] [Indexed: 12/27/2022] Open
Abstract
With more than 70,000 living species, vertebrates have a huge impact on the field of biology and research, including karyotype evolution. One prominent aspect of many vertebrate karyotypes is the enigmatic occurrence of tiny and often cytogenetically indistinguishable microchromosomes, which possess distinctive features compared to macrochromosomes. Why certain vertebrate species carry these microchromosomes in some lineages while others do not, and how they evolve remain open questions. New studies have shown that microchromosomes exhibit certain unique characteristics of genome structure and organization, such as high gene densities, low heterochromatin levels, and high rates of recombination. Our review focuses on recent concepts to expand current knowledge on the dynamic nature of karyotype evolution in vertebrates, raising important questions regarding the evolutionary origins and ramifications of microchromosomes. We introduce the basic karyotypic features to clarify the size, shape, and morphology of macro- and microchromosomes and report their distribution across different lineages. Finally, we characterize the mechanisms of different evolutionary forces underlying the origin and evolution of microchromosomes.
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Affiliation(s)
- Kornsorn Srikulnath
- Animal Genomics and Bioresource Research Center (AGB Research Center), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (S.F.A.); (W.S.); (T.P.)
- Laboratory of Animal Cytogenetics and Comparative Genomics (ACCG), Department of Genetics, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- The International Undergraduate Program in Bioscience and Technology, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Amphibian Research Center, Hiroshima University, 1-3-1, Kagamiyama, Higashihiroshima 739-8526, Japan
| | - Syed Farhan Ahmad
- Animal Genomics and Bioresource Research Center (AGB Research Center), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (S.F.A.); (W.S.); (T.P.)
- Laboratory of Animal Cytogenetics and Comparative Genomics (ACCG), Department of Genetics, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- The International Undergraduate Program in Bioscience and Technology, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Worapong Singchat
- Animal Genomics and Bioresource Research Center (AGB Research Center), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (S.F.A.); (W.S.); (T.P.)
- Laboratory of Animal Cytogenetics and Comparative Genomics (ACCG), Department of Genetics, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
| | - Thitipong Panthum
- Animal Genomics and Bioresource Research Center (AGB Research Center), Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand; (S.F.A.); (W.S.); (T.P.)
- Laboratory of Animal Cytogenetics and Comparative Genomics (ACCG), Department of Genetics, Faculty of Science, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
- Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, 50 Ngamwongwan, Chatuchak, Bangkok 10900, Thailand
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The association between RAPSN methylation in peripheral blood and breast cancer in the Chinese population. J Hum Genet 2021; 66:1069-1078. [PMID: 33958711 DOI: 10.1038/s10038-021-00933-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 04/15/2021] [Accepted: 04/17/2021] [Indexed: 02/05/2023]
Abstract
DNA methylation in peripheral blood is associated with breast cancer (BC) but has mainly been studied in Caucasian populations. We investigated the association between blood-based methylation of receptor-associated protein of the synapse (RAPSN) and BC in Chinese population. The methylation levels of 12 RAPSN CpG sites were quantitatively evaluated by mass spectrometry in two case-control studies with 283 sporadic BC cases and 331 controls totally. The association was analyzed by logistic regression adjusted for covariants. The RAPSN methylation levels in patients with variant clinical characteristics were investigated by non-parametric tests. We found a significant association between BC and altered RAPSN methylation in blood in women at premenopausal and perimenopausal (age < 50 years old), but not in the elder women. This was approved by two independent case-control studies as well as by combining the subjects of the two studies (taken all subjects together, age < 50 years old, per 5% of methylation, odds ratio (OR) range from 1.17 to 1.30 for two CpG sites; OR = 0.75 for one CpG site; all p values < 0.02). This age-related RAPSN methylation was further modified by human epidermal growth factor receptor 2 (HER2) status (age < 50 years old, HER2 negative, per 5% of methylation, OR range from 1.27 to 1.48 for two CpG sites; OR = 0.76 for one CpG site; all p values < 0.02). We elucidated an association between BC and blood-based RAPSN methylation influenced by age and the status of HER2 in Chinese population.
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Lee JY, Song J, LeBlanc L, Davis I, Kim J, Beck S. Conserved dual-mode gene regulation programs in higher eukaryotes. Nucleic Acids Res 2021; 49:2583-2597. [PMID: 33621342 PMCID: PMC7969006 DOI: 10.1093/nar/gkab108] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 12/21/2020] [Accepted: 02/08/2021] [Indexed: 12/27/2022] Open
Abstract
Recent genomic data analyses have revealed important underlying logics in eukaryotic gene regulation, such as CpG islands (CGIs)-dependent dual-mode gene regulation. In mammals, genes lacking CGIs at their promoters are generally regulated by interconversion between euchromatin and heterochromatin, while genes associated with CGIs constitutively remain as euchromatin. Whether a similar mode of gene regulation exists in non-mammalian species has been unknown. Here, through comparative epigenomic analyses, we demonstrate that the dual-mode gene regulation program is common in various eukaryotes, even in the species lacking CGIs. In cases of vertebrates or plants, we find that genes associated with high methylation level promoters are inactivated by forming heterochromatin and expressed in a context-dependent manner. In contrast, the genes with low methylation level promoters are broadly expressed and remain as euchromatin even when repressed by Polycomb proteins. Furthermore, we show that invertebrate animals lacking DNA methylation, such as fruit flies and nematodes, also have divergence in gene types: some genes are regulated by Polycomb proteins, while others are regulated by heterochromatin formation. Altogether, our study establishes gene type divergence and the resulting dual-mode gene regulation as fundamental features shared in a broad range of higher eukaryotic species.
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Affiliation(s)
- Jun-Yeong Lee
- Davis Center for Regenerative Biology and Medicine, MDI Biological Laboratory, Bar Harbor, ME 04609, USA
| | - Jawon Song
- Texas Advanced Computing Center, The University of Texas at Austin, Austin, TX 78758, USA
| | - Lucy LeBlanc
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA
| | - Ian Davis
- Davis Center for Regenerative Biology and Medicine, MDI Biological Laboratory, Bar Harbor, ME 04609, USA
| | - Jonghwan Kim
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA
| | - Samuel Beck
- Davis Center for Regenerative Biology and Medicine, MDI Biological Laboratory, Bar Harbor, ME 04609, USA
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Zeng Z, Xie D, Gong J. Genome-wide identification of CpG island methylator phenotype related gene signature as a novel prognostic biomarker of gastric cancer. PeerJ 2020; 8:e9624. [PMID: 32821544 PMCID: PMC7396145 DOI: 10.7717/peerj.9624] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 07/07/2020] [Indexed: 12/24/2022] Open
Abstract
Background Gastric cancer (GC) is one of the most fatal cancers in the world. Results of previous studies on the association of the CpG island methylator phenotype (CIMP) with GC prognosis are conflicting and mainly based on selected CIMP markers. The current study attempted to comprehensively assess the association between CIMP status and GC survival and to develop a CIMP-related prognostic gene signature of GC. Methods We used a hierarchical clustering method based on 2,082 GC-related methylation sites to stratify GC patients from the cancer genome atlas into three different CIMP subgroups according to the CIMP status. Gene set enrichment analysis, tumor-infiltrating immune cells, and DNA somatic mutations analysis were conducted to reveal the genomic characteristics in different CIMP-related patients. Cox regression analysis and the least absolute shrinkage and selection operator were performed to develop a CIMP-related prognostic signature. Analyses involving a time-dependent receiver operating characteristic (ROC) curve and calibration plot were adopted to assess the performance of the prognostic signature. Results We found a positive relationship between CIMP and prognosis in GC. Gene set enrichment analysis indicated that cancer-progression-related pathways were enriched in the CIMP-L group. High abundances of CD8+ T cells and M1 macrophages were found in the CIMP-H group, meanwhile more plasma cells, regulatory T cells and CD4+ memory resting T cells were detected in the CIMP-L group. The CIMP-H group showed higher tumor mutation burden, more microsatellite instability-H, less lymph node metastasis, and more somatic mutations favoring survival. We then established a CIMP-related prognostic gene signature comprising six genes (CST6, SLC7A2, RAB3B, IGFBP1, VSTM2L and EVX2). The signature was capable of classifying patients into high‐and low‐risk groups with significant difference in overall survival (OS; p < 0.0001). To assess performance of the prognostic signature, the area under the ROC curve (AUC) for OS was calculated as 0.664 at 1 year, 0.704 at 3 years and 0.667 at 5 years. When compared with previously published gene-based signatures, our CIMP-related signature was comparable or better at predicting prognosis. A multivariate Cox regression analysis indicated the CIMP-related prognostic gene signature was an independent prognostic indicator of GC. In addition, Gene ontology analysis indicated that keratinocyte differentiation and epidermis development were enriched in the high-risk group. Conclusion Collectively, we described a positive association between CIMP status and prognosis in GC and proposed a CIMP-related gene signature as a promising prognostic biomarker for GC.
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Affiliation(s)
- Zhuo Zeng
- Molecular Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of GI Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Daxing Xie
- Molecular Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of GI Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jianping Gong
- Molecular Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of GI Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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8
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Shariq OA, Lines KE. Epigenetic dysregulation in pituitary tumors. INTERNATIONAL JOURNAL OF ENDOCRINE ONCOLOGY 2019. [DOI: 10.2217/ije-2019-0006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Pituitary tumors are common intracranial neoplasms associated with significant morbidity due to hormonal dysregulation and neurologic symptoms. Somatic mutations are uncommon in sporadic pituitary adenomas, and only few monogenic conditions are associated with pituitary tumors. However, increasing evidence suggests that aberrant epigenetic modifications are found in pituitary tumors. In this review, we describe these mechanisms, including DNA methylation, histone modification and microRNA expression, and the evidence supporting their dysregulation in pituitary tumors, as well as their regulation of pro-tumorigenic genes. In addition, we provide an overview of findings from preclinical studies investigating the use of histone deacetylase inhibitors to treat pituitary adenomas and the need for further studies involving epigenetic drugs and functional characterization of epigenetic dysregulation.
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Affiliation(s)
- Omair A Shariq
- OCDEM, Radcliffe Department of Medicine, University of Oxford, Churchill Hospital, Oxford, OX3 7LJ, UK
| | - Kate E Lines
- OCDEM, Radcliffe Department of Medicine, University of Oxford, Churchill Hospital, Oxford, OX3 7LJ, UK
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Jia D, Lin W, Tang H, Cheng Y, Xu K, He Y, Geng W, Dai Q. Integrative analysis of DNA methylation and gene expression to identify key epigenetic genes in glioblastoma. Aging (Albany NY) 2019; 11:5579-5592. [PMID: 31395792 PMCID: PMC6710056 DOI: 10.18632/aging.102139] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 07/29/2019] [Indexed: 12/19/2022]
Abstract
Glioblastoma (GBM) ranks the most common and aggressive primary brain malignant tumor worldwide. However, the survival rates of patients remain very poor. Therefore, molecular oncology of GBM are urgently needed. In this study, we performed an integrative analysis of DNA methylation and gene expression to identify key epigenetic genes in GBM. The methylation and gene expression of GBM patients in The Cancer Genome Atlas (TCGA) database were downloaded. After data preprocessing, we identified 4,881 differentially expressed genes (DEGs) between tumor and normal samples, including 1,111 upregulated and 3,770 downregulated genes. Then, we randomly separated all samples into training set (n = 69) and testing set (n = 69). We next obtained 11,269 survival-methylation sites by univariate and multivariate Cox regression analyses. In the correlation analysis, we defined 198 low promoter methylation with high gene expression as epigenetically induced (EI) genes and 111 high promoter methylation with low gene expression as epigenetically suppressed (ES) genes. Key markers including C1orf61 and FAM50B were selected with a Pearson correlation coefficient greater than 0.75. Further, we chose the 20 CpG methylation sites of above two genes in unsupervised clustering analysis using the Euclidean distance. We found that the prognosis of the hypomethylated group was significantly better than that in the hypermethylated group (log-rank test p-value = 0.011). Based on the validation in the TCGA testing set and GEO dataset, we validated the prognostic value of our signature (p-value = 0.02 in TCGA and 0.012 in GEO). In conclusion, our findings provided predictive and prognostic value as methylation-based biomarkers for the diagnosis and treatment of GBM.
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Affiliation(s)
- Danyun Jia
- Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China
| | - Wei Lin
- Zhejiang Department of Pediatric Intensive Care Unit, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China
| | - Hongli Tang
- Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China
| | - Yifan Cheng
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325027, Zhejiang, China
| | - Kaiwei Xu
- Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China
| | - Yanshu He
- Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China
| | - Wujun Geng
- Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China
| | - Qinxue Dai
- Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China
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10
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Bickmore WA. Patterns in the genome. Heredity (Edinb) 2019; 123:50-57. [PMID: 31189906 DOI: 10.1038/s41437-019-0220-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 03/17/2019] [Accepted: 03/20/2019] [Indexed: 12/23/2022] Open
Abstract
The human genome is not randomly organised, with respect to both the linear organisation of the DNA sequence along chromosomes and to the spatial organisation of chromosomes in the cell nucleus. Here I discuss how these patterns of sequence organisation were first discovered by molecular biologists and how they relate to the patterns revealed decades earlier by cytogeneticists and manifest as chromosome bands.
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Affiliation(s)
- Wendy A Bickmore
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine at the University of Edinburgh, Crewe Road, Edinburgh, EH42XU, UK.
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11
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DNA Methylation Profiles and Their Diagnostic Utility in BC. DISEASE MARKERS 2019; 2019:6328503. [PMID: 31198475 PMCID: PMC6526564 DOI: 10.1155/2019/6328503] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 01/31/2019] [Accepted: 02/18/2019] [Indexed: 01/02/2023]
Abstract
Biomarkers, including DNA methylation, have shown a great potential for use in personalized medicine for BC and especially for the diagnosis of BC in developing countries. According to the bisulfite sequencing PCR in twelve specimens (BC and matched normal tissues), nine genetic probes were designed to detect the frequency of methylation of the promoters in a total of 302 paired cases of BC and matched normal breast tissues. Finally, a total of 900 serum samples were used to validate the use of these methylation biomarkers for clinical diagnosis of BC. A high frequency of promoter methylation of SFN, HOXA11, P16, RARβ, PCDHGB7, hMLH1, WNT5a, HOXD13, and RASSF1a was observed in BC tissues. The methylation frequencies of HOXD13 and hMLH1 increased with the progression of BC. The methylation frequencies of HOXD13 and WNT5a were significantly higher in BC. We found that methylation modification-positive samples were most consistently associated with luminal BC. Finally, we confirmed that RASSF1a, P16, and PCDHGB7 displayed a significant sensitivity and specificity as diagnostic biomarkers for BC (P < 0.001), and a panel that combined these three genes displayed increased significance (AUC, 0.781; P < 0.001). These data suggest that epigenetic markers in serum can potentially be used to diagnose BC. The identification of additional BC-specific methylated genes would improve the sensitivity and specificity of this approach. This study could also indicate that different molecular subtypes of BC are caused by distinct genetic and epigenetic mechanisms.
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Liu W, Wu J, Shi G, Yue X, Liu D, Zhang Q. Aberrant promoter methylation of PCDH10 as a potential diagnostic and prognostic biomarker for patients with breast cancer. Oncol Lett 2018; 16:4462-4470. [PMID: 30214581 PMCID: PMC6126325 DOI: 10.3892/ol.2018.9214] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2018] [Accepted: 06/07/2018] [Indexed: 12/15/2022] Open
Abstract
Protocadherin-10 (PCDH10) is a tumor suppressor gene. Its expression level is downregulated by promoter methylation in certain types of human tumors. The aim of the present study was to examine the expression level and promoter methylation status of PCDH10 in breast cancer cells and to evaluate the association of PCDH10 methylation and tumor progression and prognosis. MethyLight was used to detect the methylation status of PCDH10 in breast cancer tissues and healthy breast tissues. Reverse transcription-quantitative polymerase chain reaction was used to assess the mRNA expression level of PCDH10, as well as to evaluate the association between PCDH10 methylation and clinicopathological features, along with patients' overall survival (OS). PCDH10 5'-C-phosphate-G-3' (CpG) methylated sites were identified in tumor tissues and matched healthy tissues (n=392). Tumor tissues and matched healthy tissues exhibited identifiable PCR results, with PCDH10 gene promoter methylation identified in ductal carcinoma in situ (66%), invasive ductal carcinoma (82%), invasive ductal carcinoma with lymph node metastasis (85.32%) and hereditary breast cancer tissues (72.37%). PCDH10 mRNA expression was significantly decreased in breast cancer tissues compared with healthy breast tissues (P=0.032). PCDH10 methylation was associated with tumor size (P=0.004), but not associated with other clinical factors. Survival analysis revealed that the patients exhibiting methylated-PCDH10 had significantly poorer OS times than patients exhibiting unmethylated-PCDH10 (P<0.0001). Receiver operating characteristic analysis indicated a sensitivity of 75%, a specificity of 62.5%, and an area under the curve of 0.682 for PCDH10. Additionally, the results of the present study indicated that PCDH10 methylation status may be a useful diagnostic and prognostic evaluation biomarker for breast cancer. The results suggested that PCDH10 methylation is a common occurrence in primary breast cancer and is associated with poor survival rates among patients with breast cancer.
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Affiliation(s)
- Wentao Liu
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, P.R. China
| | - Jin Wu
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, P.R. China
| | - Guangyue Shi
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, P.R. China
| | - Xiaolong Yue
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, P.R. China
| | - Dan Liu
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, P.R. China
| | - Qingyuan Zhang
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, P.R. China
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Recent advances in vertebrate and invertebrate transgenerational immunity in the light of ecology and evolution. Heredity (Edinb) 2018; 121:225-238. [PMID: 29915335 DOI: 10.1038/s41437-018-0101-2] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Revised: 05/06/2018] [Accepted: 05/31/2018] [Indexed: 12/18/2022] Open
Abstract
Parental experience with parasites and pathogens can lead to increased offspring resistance to infection, through a process known as transgenerational immune priming (TGIP). Broadly defined, TGIP occurs across a wide range of taxa, and can be viewed as a type of phenotypic plasticity, with hosts responding to the pressures of relevant local infection risk by altering their offspring's immune defenses. There are ever increasing examples of both invertebrate and vertebrate TGIP, which go beyond classical examples of maternal antibody transfer. Here we critically summarize the current evidence for TGIP in both invertebrates and vertebrates. Mechanisms underlying TGIP remain elusive in many systems, but while it is unlikely that they are conserved across the range of organisms with TGIP, recent insight into epigenetic modulation may challenge this view. We place TGIP into a framework of evolutionary ecology, discussing costs and relevant environmental variation. We highlight how the ecology of species or populations should affect if, where, when, and how TGIP is realized. We propose that the field can progress by incorporating evolutionary ecology focused designs to the study of the so far well chronicled, but mostly descriptive TGIP, and how rapidly developing -omic methods can be employed to further understand TGIP across taxa.
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Oyinlade O, Wei S, Lal B, Laterra J, Zhu H, Goodwin CR, Wang S, Ma D, Wan J, Xia S. Targeting UDP-α-D-glucose 6-dehydrogenase inhibits glioblastoma growth and migration. Oncogene 2018; 37:2615-2629. [PMID: 29479058 PMCID: PMC5957772 DOI: 10.1038/s41388-018-0138-y] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Revised: 11/21/2017] [Accepted: 12/24/2017] [Indexed: 01/07/2023]
Abstract
UDP-glucose 6-dehydrogenase (UGDH) produces UDP-α-D-glucuronic acid, the precursors for glycosaminoglycans (GAGs) and proteoglycans of the extracellular matrix. Elevated GAG formation has been implicated in a variety of human diseases, including glioblastoma (GBM). In our previous study, we found that Krüppel-like factor 4 (KLF4) promotes GBM cell migration by binding to methylated DNA, mainly methylated CpGs (mCpG) and transactivating gene expression. We identified UDGH as one of the downstream targets of KLF4-mCpG binding activity. In this study, we show that KLF4 upregulates UGDH expression in a mCpG-dependent manner, and UGDH is required for KLF4-induced cell migration in vitro. UGDH knockdown decreases GAG abundance in GBM cells, as well as cell proliferation and migration in vitro. In intracranial xenografts, reduced UGDH inhibits tumor growth and migration, accompanied by a decrease in the expression of extracellular matrix proteins such as tenascin C, brevican. Our studies demonstrate a novel DNA methylation-dependent UGDH upregulation by KLF4. Developing UGDH antagonists to decrease the synthesis of extracellular matrix components will be a useful strategy for GBM therapy.
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Affiliation(s)
- Olutobi Oyinlade
- Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, 21205, USA
- Department of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - Shuang Wei
- Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, 21205, USA
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Bachchu Lal
- Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, 21205, USA
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - John Laterra
- Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, 21205, USA
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - Heng Zhu
- Department of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- High throughput Biology Center, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - C Rory Goodwin
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, 27710, USA
| | - Shuyan Wang
- Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, 21205, USA
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - Ding Ma
- Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, 21205, USA
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - Jun Wan
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Shuli Xia
- Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, 21205, USA.
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
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Motta-Neto CC, Marques A, Costa GW, Cioffi MB, Bertollo LA, Soares RX, Scortecci KC, Artoni RF, Molina WF. Differential hypomethylation of the repetitive Tol2/Alu-rich sequences in the genome of Bodianus species (Labriformes, Labridae). COMPARATIVE CYTOGENETICS 2018; 12:145-162. [PMID: 29675141 PMCID: PMC5904366 DOI: 10.3897/compcytogen.v12i2.21830] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 02/28/2018] [Indexed: 06/08/2023]
Abstract
Representatives of the order Labriformes show karyotypes of extreme conservatism together with others with high chromosomal diversification. However, the cytological characterization of epigenetic modifications remains unknown for the majority of the species. In the family Labridae, the most abundant fishes on tropical reefs, the genomes of the genus Bodianus Bloch, 1790 have been characterized by the occurrence of a peculiar chromosomal region, here denominated BOD. This region is exceptionally decondensed, heterochromatic, argentophilic, GC-neutral and, in contrast to classical secondary constrictions, shows no signals of hybridization with 18S rDNA probes. In order to characterize the BOD region, the methylation pattern, the distribution of Alu and Tol2 retrotransposons and of 18S and 5S rDNA sites, respectively, were analyzed by Fluorescence In Situ Hybridization (FISH) on metaphase chromosomes of two Bodianus species, B. insularis Gomon & Lubbock, 1980 and B. pulchellus (Poey, 1860). Immunolocalization of the 5-methylcytosine revealed hypermethylated chromosomal regions, dispersed along the entire length of the chromosomes of both species, while the BOD regions exhibited a hypomethylated pattern. Hypomethylation of the BOD region is associated with the precise co-location of Tol2 and Alu elements, suggesting their active participation in the regulatory epigenetic process. This evidence underscores a probable differential methylation action during the cell cycle, as well as the role of Tol2/Alu elements in functional processes of fish genomes.
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Affiliation(s)
- Clóvis C. Motta-Neto
- Center of Biosciences, Department of Cellular Biology and Genetics, Federal University of Rio Grande do Norte, Natal, Brazil
| | - André Marques
- Laboratory of Plant Cytogenetics and Evolution, Department of Botany, Federal University of Pernambuco, Recife, Brazil
| | - Gideão W.W.F. Costa
- Center of Biosciences, Department of Cellular Biology and Genetics, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Marcelo B. Cioffi
- Department of Genetics and Evolution, Federal University of São Carlos, São Paulo, Brazil
| | - Luiz A.C. Bertollo
- Department of Genetics and Evolution, Federal University of São Carlos, São Paulo, Brazil
| | - Rodrigo X. Soares
- Center of Biosciences, Department of Cellular Biology and Genetics, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Kátia C. Scortecci
- Center of Biosciences, Department of Cellular Biology and Genetics, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Roberto F. Artoni
- Department of Structural and Molecular Biology and Genetics, State University of Ponta Grossa, Ponta Grossa, Brazil
| | - Wagner F. Molina
- Center of Biosciences, Department of Cellular Biology and Genetics, Federal University of Rio Grande do Norte, Natal, Brazil
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16
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Pan Y, Liu G, Zhou F, Su B, Li Y. DNA methylation profiles in cancer diagnosis and therapeutics. Clin Exp Med 2017; 18:1-14. [PMID: 28752221 DOI: 10.1007/s10238-017-0467-0] [Citation(s) in RCA: 235] [Impact Index Per Article: 33.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2016] [Accepted: 06/16/2017] [Indexed: 12/12/2022]
Abstract
Cancer initiation and proliferation is regulated by both epigenetic and genetic events with epigenetic modifications being increasingly identified as important targets for cancer research. DNA methylation catalyzed by DNA methyltransferases (DNMTs) is one of the essential epigenetic mechanisms that control cell proliferation, apoptosis, differentiation, cell cycle, and transformation in eukaryotes. Recent progress in epigenetics revealed a deeper understanding of the mechanisms of tumorigenesis and provided biomarkers for early detection, diagnosis, and prognosis in cancer patients. Although DNA methylation biomarker possesses potential contributing to precision medicine, there are still limitations to be overcome before it reaches clinical setting. Hence, the current status of DNA methylation biomarkers was reviewed and the future use in clinic was also predicted.
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Affiliation(s)
- Yunbao Pan
- Department of Laboratory Medicine, Zhongnan Hospital, Wuhan University, No.169 Donghu Road, Wuchang District, Wuhan, 430071, China
- Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China
| | - Guohong Liu
- School of Materials Science and Engineering, Sun Yat-Sen University, Guangzhou, 510275, Guangdong, China
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, 6767 Bertner Ave, Houston, TX, 77030, USA
| | - Fuling Zhou
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Bojin Su
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, 6767 Bertner Ave, Houston, TX, 77030, USA.
| | - Yirong Li
- Department of Laboratory Medicine, Zhongnan Hospital, Wuhan University, No.169 Donghu Road, Wuchang District, Wuhan, 430071, China.
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17
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Ma Z, Kong X, Liu S, Yin S, Zhao Y, Liu C, Lv Z, Wang X. Combined sense-antisense Alu elements activate the EGFP reporter gene when stable transfection. Mol Genet Genomics 2017; 292:833-846. [PMID: 28357596 DOI: 10.1007/s00438-017-1312-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Accepted: 03/20/2017] [Indexed: 01/28/2023]
Abstract
Alu elements in the human genome are present in more than one million copies, accounting for 10% of the genome. However, the biological functions of most Alu repeats are unknown. In this present study, we detected the effects of Alu elements on EGFP gene expression using a plasmid system to find the roles of Alu elements in human genome. We inserted 5'-4TMI-Alus-CMV promoter-4TMI-Alus (or antisense Alus)-3' sequences into the pEGFP-C1 vector to construct expression vectors. We altered the copy number of Alus, the orientation of the Alus, and the presence of an enhancer (4TMI) in the inserted 5'-4TMI-Alus-CMV promoter-4TMI-Alus (or antisense Alus)-3' sequences. These expression vectors were stably transfected into HeLa cells, and EGFP reporter gene expression was determined. Our results showed that combined sense-antisense Alu elements activated the EGFP reporter gene in the presence of enhancers and stable transfection. The combined sense-antisense Alu vectors carrying four copies of Alus downstream of inserted CMV induced much stronger EGFP gene expression than two copies. Alus downstream of inserted CMV were replaced to AluJBs (having 76% homology with Alu) to construct expression vectors. We found that combined sense-antisense Alu (or antisense AluJB) vectors induced strong EGFP gene expression after stable transfection and heat shock. To further explore combined sense-antisense Alus activating EGFP gene expression, we constructed Tet-on system vectors, mini-C1-Alu-sense-sense and mini-C1-Alu-sense-antisense (EGFP gene was driven by mini-CMV). We found that combined sense-antisense Alus activated EGFP gene in the presence of reverse tetracycline repressor (rTetR) and doxycycline (Dox). Clone experiments showed that Mini-C1-Alu-sense-antisense vector had more positive cells than that of Mini-C1-Alu-sense-sense vector. The results in this paper proved that Alu repetitive sequences inhibited gene expression and combined sense-antisense Alus activated EGFP reporter gene when Alu transcribes, which suggests that Alus play roles in maintaining gene expression (silencing genes or activating genes) in human genome.
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Affiliation(s)
- Zhihong Ma
- Department of Genetics, Hebei Medical University, Hebei Key Lab of Laboratory Animal, Shijiazhuang, Hebei Province, 050017, China
| | - Xianglong Kong
- Department of Genetics, Hebei Medical University, Hebei Key Lab of Laboratory Animal, Shijiazhuang, Hebei Province, 050017, China
| | - Shufeng Liu
- Department of Genetics, Hebei Medical University, Hebei Key Lab of Laboratory Animal, Shijiazhuang, Hebei Province, 050017, China
| | - Shuxian Yin
- Department of Genetics, Hebei Medical University, Hebei Key Lab of Laboratory Animal, Shijiazhuang, Hebei Province, 050017, China
| | - Yuehua Zhao
- Department of Genetics, Hebei Medical University, Hebei Key Lab of Laboratory Animal, Shijiazhuang, Hebei Province, 050017, China
| | - Chao Liu
- Department of Genetics, Hebei Medical University, Hebei Key Lab of Laboratory Animal, Shijiazhuang, Hebei Province, 050017, China
| | - Zhanjun Lv
- Department of Genetics, Hebei Medical University, Hebei Key Lab of Laboratory Animal, Shijiazhuang, Hebei Province, 050017, China.
| | - Xiufang Wang
- Department of Genetics, Hebei Medical University, Hebei Key Lab of Laboratory Animal, Shijiazhuang, Hebei Province, 050017, China.
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18
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How does chromatin package DNA within nucleus and regulate gene expression? Int J Biol Macromol 2017; 101:862-881. [PMID: 28366861 DOI: 10.1016/j.ijbiomac.2017.03.165] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Revised: 03/28/2017] [Accepted: 03/28/2017] [Indexed: 01/26/2023]
Abstract
The human body is made up of 60 trillion cells, each cell containing 2 millions of genomic DNA in its nucleus. How is this genomic deoxyribonucleic acid [DNA] organised into nuclei? Around 1880, W. Flemming discovered a nuclear substance that was clearly visible on staining under primitive light microscopes and named it 'chromatin'; this is now thought to be the basic unit of genomic DNA organization. Since long before DNA was known to carry genetic information, chromatin has fascinated biologists. DNA has a negatively charged phosphate backbone that produces electrostatic repulsion between adjacent DNA regions, making it difficult for DNA to fold upon itself. In this article, we will try to shed light on how does chromatin package DNA within nucleus and regulate gene expression?
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19
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Piwowar M, Matczyńska E, Malawski M, Szapieniec T, Roterman-Konieczna I. Genetic traces of never born proteins. BIO-ALGORITHMS AND MED-SYSTEMS 2017. [DOI: 10.1515/bams-2017-0006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
AbstractThe presented results cover issues related to proteins that were “never born in nature”. The paper is focused on identifying genetic information stretches of protein sequences that were not identified to be existing in nature. The aim of the work was finding traces of “never born proteins” (NBP) everywhere in completely sequenced genomes including regions not expected as carrying the genetic information. The results of analyses relate to the search of the genetic material of species from different levels of the evolutionary tree from yeast through plant organisms up to the human genome. The analysis concerns searching the genome sequences. There are presented statistical details such as sequence frequencies, their length, percent identity and similarity of alignments, as well as E value of sequences found. Computations were performed on gLite-based grid environment. The results of the analyses showed that the NBP genetic record in the genomes of the studied organisms is absent at a significant level in terms of identity of contents and length of the sequences found. Most of the found sequences considered to be similar do not exceed 50% of the length of the NBP output sequences, which confirms that the genetic record of proteins is not accidental in terms of composition of gene sequences but also as regards the place of recording in genomes of living organisms.
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20
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Qiu H, Sarathy A, Schulten K, Leburton JP. Detection and Mapping of DNA Methylation with 2D Material Nanopores. NPJ 2D MATERIALS AND APPLICATIONS 2017; 1:3. [PMID: 29399640 PMCID: PMC5794036 DOI: 10.1038/s41699-017-0005-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Revised: 12/24/2016] [Accepted: 01/10/2017] [Indexed: 05/21/2023]
Abstract
DNA methylation is an epigenetic modification involving the addition of a methyl group to DNA, which is heavily involved in gene expression and regulation, thereby critical to the progression of diseases such as cancer. In this work we show that detection and localization of DNA methylation can be achieved with nanopore sensors made of two-dimensional (2D) materials such as graphene and molybdenum di-sulphide (MoS2). We label each DNA methylation site with a methyl-CpG binding domain protein (MBD1), and combine molecular dynamics simulations with electronic transport calculations to investigate the translocation of the methylated DNA-MBD1 complex through 2D material nanopores under external voltage biases. The passage of the MBD1-labeled methylation site through the pore is identified by dips in the current blockade induced by the DNA strand, as well as by peaks in the transverse electronic sheet current across the 2D layer. The position of the methylation sites can be clearly recognized by the relative positions of the dips in the recorded ionic current blockade with an estimated error ranging from 0% to 16%. Finally, we define the spatial resolution of the 2D material nanopore device as the minimal distance between two methylation sites identified within a single measurement, which is 15 base pairs by ionic current recognition, but as low as 10 base pairs by transverse electronic conductance detection, indicating better resolution with this latter technique. The present approach opens a new route for precise and efficient profiling of DNA methylation.
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Affiliation(s)
- Hu Qiu
- Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana, Illinois 61801, United States
| | - Aditya Sarathy
- Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana, Illinois 61801, United States
- Department of Electrical and Computer Engineering, University of Illinois, Urbana, Illinois 61801, United States
| | - Klaus Schulten
- Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana, Illinois 61801, United States
- Department of Physics, University of Illinois, Urbana, Illinois 61801, United States
| | - Jean-Pierre Leburton
- Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana, Illinois 61801, United States
- Department of Electrical and Computer Engineering, University of Illinois, Urbana, Illinois 61801, United States
- Department of Physics, University of Illinois, Urbana, Illinois 61801, United States
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21
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Influence of Rotational Nucleosome Positioning on Transcription Start Site Selection in Animal Promoters. PLoS Comput Biol 2016; 12:e1005144. [PMID: 27716823 PMCID: PMC5055345 DOI: 10.1371/journal.pcbi.1005144] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Accepted: 09/11/2016] [Indexed: 01/20/2023] Open
Abstract
The recruitment of RNA-Pol-II to the transcription start site (TSS) is an important step in gene regulation in all organisms. Core promoter elements (CPE) are conserved sequence motifs that guide Pol-II to the TSS by interacting with specific transcription factors (TFs). However, only a minority of animal promoters contains CPEs. It is still unknown how Pol-II selects the TSS in their absence. Here we present a comparative analysis of promoters' sequence composition and chromatin architecture in five eukaryotic model organisms, which shows the presence of common and unique DNA-encoded features used to organize chromatin. Analysis of Pol-II initiation patterns uncovers that, in the absence of certain CPEs, there is a strong correlation between the spread of initiation and the intensity of the 10 bp periodic signal in the nearest downstream nucleosome. Moreover, promoters' primary and secondary initiation sites show a characteristic 10 bp periodicity in the absence of CPEs. We also show that DNA natural variants in the region immediately downstream the TSS are able to affect both the nucleosome-DNA affinity and Pol-II initiation pattern. These findings support the notion that, in addition to CPEs mediated selection, sequence-induced nucleosome positioning could be a common and conserved mechanism of TSS selection in animals.
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22
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Loucas BD, Shuryak I, Cornforth MN. Three-Color Chromosome Painting as Seen through the Eyes of mFISH: Another Look at Radiation-Induced Exchanges and Their Conversion to Whole-Genome Equivalency. Front Oncol 2016; 6:52. [PMID: 27014627 PMCID: PMC4791380 DOI: 10.3389/fonc.2016.00052] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Accepted: 02/22/2016] [Indexed: 01/25/2023] Open
Abstract
Whole-chromosome painting (WCP) typically involves the fluorescent staining of a small number of chromosomes. Consequently, it is capable of detecting only a fraction of exchanges that occur among the full complement of chromosomes in a genome. Mathematical corrections are commonly applied to WCP data in order to extrapolate the frequency of exchanges occurring in the entire genome [whole-genome equivalency (WGE)]. However, the reliability of WCP to WGE extrapolations depends on underlying assumptions whose conditions are seldom met in actual experimental situations, in particular the presumed absence of complex exchanges. Using multi-fluor fluorescence in situ hybridization (mFISH), we analyzed the induction of simple exchanges produced by graded doses of 137Cs gamma rays (0–4 Gy), and also 1.1 GeV 56Fe ions (0–1.5 Gy). In order to represent cytogenetic damage as it would have appeared to the observer following standard three-color WCP, all mFISH information pertaining to exchanges that did not specifically involve chromosomes 1, 2, or 4 was ignored. This allowed us to reconstruct dose–responses for three-color apparently simple (AS) exchanges. Using extrapolation methods similar to those derived elsewhere, these were expressed in terms of WGE for comparison to mFISH data. Based on AS events, the extrapolated frequencies systematically overestimated those actually observed by mFISH. For gamma rays, these errors were practically independent of dose. When constrained to a relatively narrow range of doses, the WGE corrections applied to both 56Fe and gamma rays predicted genome-equivalent damage with a level of accuracy likely sufficient for most applications. However, the apparent accuracy associated with WCP to WGE corrections is both fortuitous and misleading. This is because (in normal practice) such corrections can only be applied to AS exchanges, which are known to include complex aberrations in the form of pseudosimple exchanges. When WCP to WGE corrections are applied to true simple exchanges, the results are less than satisfactory, leading to extrapolated values that underestimate the true WGE response by unacceptably large margins. Likely explanations for these results are discussed, as well as their implications for radiation protection. Thus, in seeming contradiction to notion that complex aberrations be avoided altogether in WGE corrections – and in violation of assumptions upon which these corrections are based – their inadvertent inclusion in three-color WCP data is actually required in order for them to yield even marginally acceptable results.
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Affiliation(s)
- Bradford D Loucas
- Department of Radiation Oncology, University of Texas Medical Branch , Galveston, TX , USA
| | - Igor Shuryak
- Center for Radiological Research, Columbia University , New York, NY , USA
| | - Michael N Cornforth
- Department of Radiation Oncology, University of Texas Medical Branch , Galveston, TX , USA
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23
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Abstract
Cytosine methylation in DNA constitutes an important epigenetic layer of transcriptional and regulatory control in many eukaryotes. Profiling DNA methylation across the genome is critical to understanding the influence of epigenetics in normal biology and disease, such as cancer. Genome-wide analyses such as arrays and next-generation sequencing (NGS) technologies have been used to assess large fractions of the methylome at a single-base-pair resolution. However, the range of DNA methylation profiling techniques can make selecting the appropriate protocol a challenge. This chapter discusses the advantages and disadvantages of various methylome detection approaches to assess which is appropriate for the question at hand. Here, we focus on four prominent genome-wide approaches: whole-genome bisulfite sequencing (WGBS); methyl-binding domain capture sequencing (MBDCap-Seq); reduced-representation-bisulfite-sequencing (RRBS); and Infinium Methylation450 BeadChips (450 K, Illumina). We discuss some of the requirements, merits, and challenges that should be considered when choosing a methylome technology to ensure that it will be informative. In addition, we show how genome-wide methylation detection arrays and high-throughput sequencing have provided immense insight into ovarian cancer-specific methylation signatures that may serve as diagnostic biomarkers or predict patient response to epigenetic therapy.
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24
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Efimova OA, Pendina AA, Tikhonov AV, Fedorova ID, Krapivin MI, Chiryaeva OG, Shilnikova EM, Bogdanova MA, Kogan IY, Kuznetzova TV, Gzgzyan AM, Ailamazyan EK, Baranov VS. Chromosome hydroxymethylation patterns in human zygotes and cleavage-stage embryos. Reproduction 2014; 149:223-33. [PMID: 25504867 DOI: 10.1530/rep-14-0343] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
We report the sequential changes in 5-hydroxymethylcytosine (5hmC) patterns in the genome of human preimplantation embryos during DNA methylation reprogramming. We have studied chromosome hydroxymethylation and methylation patterns in triploid zygotes and blastomeres of cleavage-stage embryos. Using indirect immunofluorescence, we have analyzed the localization of 5hmC and its co-distribution with 5-methylcytosine (5mC) on the QFH-banded metaphase chromosomes. In zygotes, 5hmC accumulates in both parental chromosome sets, but hydroxymethylation is more intensive in the poorly methylated paternal set. In the maternal set, chromosomes are highly methylated, but contain little 5hmC. Hydroxymethylation is highly region specific in both parental chromosome sets: hydroxymethylated loci correspond to R-bands, but not G-bands, and have well-defined borders, which coincide with the R/G-band boundaries. The centromeric regions and heterochromatin at 1q12, 9q12, 16q11.2, and Yq12 contain little 5mC and no 5hmC. We hypothesize that 5hmC may mark structural/functional genome 'units' corresponding to chromosome bands in the newly formed zygotic genome. In addition, we suggest that the hydroxymethylation of R-bands in zygotes can be treated as a new characteristic distinguishing them from G-bands. At cleavages, chromosomes with asymmetrical hydroxymethylation of sister chromatids appear. They decrease in number during cleavages, whereas totally non-hydroxymethylated chromosomes become numerous. Taken together, our findings suggest that, in the zygotic genome, 5hmC is distributed selectively and its pattern is determined by both parental origin of chromosomes and type of chromosome bands - R, G, or C. At cleavages, chromosome hydroxymethylation pattern is dynamically changed due to passive and non-selective overall loss of 5hmC, which coincides with that of 5mC.
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Affiliation(s)
- Olga A Efimova
- D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia
| | - Anna A Pendina
- D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Pet
| | - Andrei V Tikhonov
- D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Pet
| | - Irina D Fedorova
- D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia
| | - Mikhail I Krapivin
- D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia
| | - Olga G Chiryaeva
- D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Pet
| | - Evgeniia M Shilnikova
- D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia
| | - Mariia A Bogdanova
- D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia
| | - Igor Yu Kogan
- D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia
| | - Tatyana V Kuznetzova
- D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia
| | - Alexander M Gzgzyan
- D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia
| | - Edward K Ailamazyan
- D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Pet
| | - Vladislav S Baranov
- D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Petersburg, Russia D.O. Ott Research Institute of Obstetrics and GynecologyMendeleevskaya line, 3, 199034 St Petersburg, RussiaSt Petersburg State UniversityUniversitetskaya nab.7/9, 199034 St Petersburg, RussiaCenter for Medical GeneticsTobolskaya ul., 5, 194044 St Petersburg, RussiaSt Petersburg State Pediatric Medical UniversityLitovskaya ul., 2, 194100 St Petersburg, RussiaS.M. Kirov Military Medical AcademyLebedeva ul., 6, 194044 St Petersburg, RussiaN.I. Pirogov National Medical-Surgery CenterSt Petersburg Clinic Complex, nab. Fontanki, 154, 190103 St Petersburg, RussiaI.P. Pavlov First St Petersburg State Medical UniversityL'va Tolstogo ul., 6/8, 197022 St Pet
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Dong Y, Zhao H, Li H, Li X, Yang S. DNA methylation as an early diagnostic marker of cancer (Review). Biomed Rep 2014; 2:326-330. [PMID: 24748968 PMCID: PMC3990206 DOI: 10.3892/br.2014.237] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2013] [Accepted: 01/06/2014] [Indexed: 01/04/2023] Open
Abstract
DNA methylation is one of the essential epigenetic mechanisms that are closely correlated with the mechanisms underlying cell growth, differentiation and transformation in eukaryotes. Global changes in the epigenetic landscape are considered to be a hallmark of cancer. The initiation and progression of cancer are mediated through epigenetic modifications along with genetic alterations. Aberrant methylation of promoter regions is an epigenetic abnormality of the human genome that is highly characteristic of cancer. In this review, we aimed to summarize our current understanding of the alterations in the epigenetic landscape and investigate the potential use of DNA and RNA methylation in effective molecular treatment strategies.
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Affiliation(s)
- Yuanyuan Dong
- School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, P.R. China ; Engineering Research Center of Bioreactor and Pharmaceutical Development, Ministry of Education, Jilin Agricultural University, Changchun, Jilin 130118, P.R. China
| | - Haiyang Zhao
- School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, P.R. China
| | - Haiyan Li
- Engineering Research Center of Bioreactor and Pharmaceutical Development, Ministry of Education, Jilin Agricultural University, Changchun, Jilin 130118, P.R. China
| | - Xiaokun Li
- School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, P.R. China ; Engineering Research Center of Bioreactor and Pharmaceutical Development, Ministry of Education, Jilin Agricultural University, Changchun, Jilin 130118, P.R. China
| | - Shulin Yang
- School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, P.R. China
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Guay SP, Brisson D, Lamarche B, Gaudet D, Bouchard L. Epipolymorphisms within lipoprotein genes contribute independently to plasma lipid levels in familial hypercholesterolemia. Epigenetics 2014; 9:718-29. [PMID: 24504152 DOI: 10.4161/epi.27981] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Gene polymorphisms associated so far with plasma lipid concentrations explain only a fraction of their heritability, which can reach up to 60%. Recent studies suggest that epigenetic modifications (DNA methylation) could contribute to explain part of this missing heritability. We therefore assessed whether the DNA methylation of key lipoprotein metabolism genes is associated with high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and triglyceride levels in patients with familial hypercholesterolemia (FH). Untreated FH patients (61 men and 37 women) were recruited for the measurement of blood DNA methylation levels at the ABCG1, LIPC, PLTP and SCARB1 gene loci using bisulfite pyrosequencing. ABCG1, LIPC and PLTP DNA methylation was significantly associated with HDL-C, LDL-C and triglyceride levels in a sex-specific manner (all P<0.05). FH subjects with previous history of coronary artery disease (CAD) had higher LIPC DNA methylation levels compared with FH subjects without CAD (P = 0.02). Sex-specific multivariable linear regression models showed that new and previously reported epipolymorphisms (ABCG1-CpGC3, LIPC-CpGA2, mean PLTP-CpGC, LPL-CpGA3, CETP-CpGA2, and CETP-CpGB2) significantly contribute to variations in plasma lipid levels (all P<0.001 in men and P<0.02 in women), independently of traditional predictors such as age, waist circumference, blood pressure, fasting plasma lipids and glucose levels. These results suggest that epigenetic perturbations of key lipoprotein metabolism genes are associated with plasma lipid levels, contribute to the interindividual variability and might partially explain the missing heritability of plasma lipid levels, at least in FH.
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Affiliation(s)
- Simon-Pierre Guay
- Department of Biochemistry; Université de Sherbrooke; Sherbrooke, QC Canada; ECOGENE-21 and Lipid Clinic; Chicoutimi Hospital; Saguenay, QC Canada
| | - Diane Brisson
- ECOGENE-21 and Lipid Clinic; Chicoutimi Hospital; Saguenay, QC Canada; Department of Medicine; Université de Montréal; Montréal, QC Canada
| | - Benoit Lamarche
- Institute of Nutrition and Functional Foods; Université Laval; Québec, QC Canada
| | - Daniel Gaudet
- ECOGENE-21 and Lipid Clinic; Chicoutimi Hospital; Saguenay, QC Canada; Department of Medicine; Université de Montréal; Montréal, QC Canada
| | - Luigi Bouchard
- Department of Biochemistry; Université de Sherbrooke; Sherbrooke, QC Canada; ECOGENE-21 and Lipid Clinic; Chicoutimi Hospital; Saguenay, QC Canada
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Cotton AM, Chen CY, Lam LL, Wasserman WW, Kobor MS, Brown CJ. Spread of X-chromosome inactivation into autosomal sequences: role for DNA elements, chromatin features and chromosomal domains. Hum Mol Genet 2013; 23:1211-23. [PMID: 24158853 PMCID: PMC4051349 DOI: 10.1093/hmg/ddt513] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
X-chromosome inactivation results in dosage equivalence between the X chromosome in males and females; however, over 15% of human X-linked genes escape silencing and these genes are enriched on the evolutionarily younger short arm of the X chromosome. The spread of inactivation onto translocated autosomal material allows the study of inactivation without the confounding evolutionary history of the X chromosome. The heterogeneity and reduced extent of silencing on autosomes are evidence for the importance of DNA elements underlying the spread of silencing. We have assessed DNA methylation in six unbalanced X-autosome translocations using the Illumina Infinium HumanMethylation450 array. Two to 42% of translocated autosomal genes showed this mark of silencing, with the highest degree of inactivation observed for trisomic autosomal regions. Generally, the extent of silencing was greatest close to the translocation breakpoint; however, silencing was detected well over 100 kb into the autosomal DNA. Alu elements were found to be enriched at autosomal genes that escaped from inactivation while L1s were enriched at subject genes. In cells without the translocation, there was enrichment of heterochromatic features such as EZH2 and H3K27me3 for those genes that become silenced when translocated, suggesting that underlying chromatin structure predisposes genes towards silencing. Additionally, the analysis of topological domains indicated physical clustering of autosomal genes of common inactivation status. Overall, our analysis indicated a complex interaction between DNA sequence, chromatin features and the three-dimensional structure of the chromosome.
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Kang I, Wang Y, Reagan C, Fu Y, Wang MX, Gu LQ. Designing DNA interstrand lock for locus-specific methylation detection in a nanopore. Sci Rep 2013; 3:2381. [PMID: 24135881 PMCID: PMC3798886 DOI: 10.1038/srep02381] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2012] [Accepted: 07/12/2013] [Indexed: 12/31/2022] Open
Abstract
DNA methylation is an important epigenetic regulation of gene transcription. Locus-specific DNA methylation can be used as biomarkers in various diseases including cancer. Many methods have been developed for genome-wide methylation analysis, but molecular diagnotics needs simple tools to determine methylation states at individual CpG sites in a gene fragment. In this report, we utilized the nanopore single-molecule sensor to investigate a base-pair specific metal ion/nucleic acids interaction, and explored its potential application in locus-specific DNA methylation analysis. We identified that divalent Mercury ion (Hg2+) can selectively bind a uracil-thymine mismatch (U-T) in a dsDNA. The Hg2+ binding creates a reversible interstrand lock, called MercuLock, which enhances the hybridization strength by two orders of magnitude. Such MercuLock cannot be formed in a 5-methylcytosine-thymine mismatch (mC-T). By nanopore detection of dsDNA stability, single bases of uracil and 5-methylcytosine can be distinguished. Since uracil is converted from cytosine by bisulfite treatment, cytosine and 5′-methylcytosine can be discriminated. We have demonstrated the methylation analysis of multiple CpGs in a p16 gene CpG island. This single-molecule assay may have potential in detection of epigenetic cancer biomarkers in biofluids, with an ultimate goal for early diagnosis of cancer.
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Affiliation(s)
- Insoon Kang
- Department of Bioengineering and Dalton Cardiovascular Research Center
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Vandermeers F, Neelature Sriramareddy S, Costa C, Hubaux R, Cosse JP, Willems L. The role of epigenetics in malignant pleural mesothelioma. Lung Cancer 2013; 81:311-318. [PMID: 23790315 DOI: 10.1016/j.lungcan.2013.05.014] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2013] [Revised: 05/18/2013] [Accepted: 05/22/2013] [Indexed: 12/31/2022]
Affiliation(s)
- Fabian Vandermeers
- Molecular and Cellular Epigenetics (GIGA-Cancer) and Molecular Biology (GxABT), University of Liège (ULg), Liège, Belgium
| | - Sathya Neelature Sriramareddy
- Molecular and Cellular Epigenetics (GIGA-Cancer) and Molecular Biology (GxABT), University of Liège (ULg), Liège, Belgium
| | - Chrisostome Costa
- Molecular and Cellular Epigenetics (GIGA-Cancer) and Molecular Biology (GxABT), University of Liège (ULg), Liège, Belgium
| | - Roland Hubaux
- Molecular and Cellular Epigenetics (GIGA-Cancer) and Molecular Biology (GxABT), University of Liège (ULg), Liège, Belgium
| | - Jean-Philippe Cosse
- Molecular and Cellular Epigenetics (GIGA-Cancer) and Molecular Biology (GxABT), University of Liège (ULg), Liège, Belgium
| | - Luc Willems
- Molecular and Cellular Epigenetics (GIGA-Cancer) and Molecular Biology (GxABT), University of Liège (ULg), Liège, Belgium.
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Waldeck W, Mueller G, Glatting KH, Hotz-Wagenblatt A, Diessl N, Chotewutmonti S, Langowski J, Semmler W, Wiessler M, Braun K. Spatial localization of genes determined by intranuclear DNA fragmentation with the fusion proteins lamin KRED and histone KRED und visible light. Int J Med Sci 2013; 10:1136-48. [PMID: 23869190 PMCID: PMC3714390 DOI: 10.7150/ijms.6121] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2013] [Accepted: 06/06/2013] [Indexed: 12/02/2022] Open
Abstract
The highly organized DNA architecture inside of the nuclei of cells is accepted in the scientific world. In the human genome about 3 billion nucleotides are organized as chromatin in the cell nucleus. In general, they are involved in gene regulation and transcription by histone modification. Small chromosomes are localized in a central nuclear position whereas the large chromosomes are peripherally positioned. In our experiments we inserted fusion proteins consisting of a component of the nuclear lamina (lamin B1) and also histone H2A, both combined with the light inducible fluorescence protein KillerRed (KRED). After activation, KRED generates reactive oxygen species (ROS) producing toxic effects and may cause cell death. We analyzed the spatial damage distribution in the chromatin after illumination of the cells with visible light. The extent of DNA damage was strongly dependent on its localization inside of nuclei. The ROS activity allowed to gain information about the location of genes and their functions via sequencing and data base analysis of the double strand breaks of the isolated DNA. A connection between the damaged gene sequences and some diseases was found.
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Affiliation(s)
- Waldemar Waldeck
- 1. German Cancer Research Center, Dept. of Biophysics of Macromolecules, INF 580, D-69120 Heidelberg, Germany
| | - Gabriele Mueller
- 1. German Cancer Research Center, Dept. of Biophysics of Macromolecules, INF 580, D-69120 Heidelberg, Germany
| | - Karl-Heinz Glatting
- 3. German Cancer Research Center, Genomics Proteomics Core Facility HUSAR Bioinformatics Lab, INF 580, D-69120 Heidelberg, Germany
| | - Agnes Hotz-Wagenblatt
- 3. German Cancer Research Center, Genomics Proteomics Core Facility HUSAR Bioinformatics Lab, INF 580, D-69120 Heidelberg, Germany
| | - Nicolle Diessl
- 4. German Cancer Research Center, Genomics and Proteomics Core Facility High Throughput Sequencing, INF 580, D-69120 Heidelberg, Germany
| | - Sasithorn Chotewutmonti
- 4. German Cancer Research Center, Genomics and Proteomics Core Facility High Throughput Sequencing, INF 580, D-69120 Heidelberg, Germany
| | - Jörg Langowski
- 1. German Cancer Research Center, Dept. of Biophysics of Macromolecules, INF 580, D-69120 Heidelberg, Germany
| | - Wolfhard Semmler
- 2. German Cancer Research Center, Dept. of Medical Physics in Radiology, INF 280, D-69120 Heidelberg, Germany
| | - Manfred Wiessler
- 2. German Cancer Research Center, Dept. of Medical Physics in Radiology, INF 280, D-69120 Heidelberg, Germany
| | - Klaus Braun
- 2. German Cancer Research Center, Dept. of Medical Physics in Radiology, INF 280, D-69120 Heidelberg, Germany
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Abstract
Bisulfite conversion of genomic DNA combined with next-generation sequencing (NGS) has become a very effective approach for mapping the whole-genome and sub-genome wide DNA methylation landscapes. However, whole methylome shotgun bisulfite sequencing is still expensive and not suitable for analyzing large numbers of human cancer specimens. Recent advances in the development of targeted bisulfite sequencing approaches offer several attractive alternatives. The characteristics and applications of these methods are discussed in this review article. In addition, the bioinformatic tools that can be used for sequence capture probe design as well as downstream sequence analyses are also addressed.
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Foster HA, Griffin DK, Bridger JM. Interphase chromosome positioning in in vitro porcine cells and ex vivo porcine tissues. BMC Cell Biol 2012; 13:30. [PMID: 23151271 PMCID: PMC3499214 DOI: 10.1186/1471-2121-13-30] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2011] [Accepted: 09/09/2011] [Indexed: 01/18/2023] Open
Abstract
Background In interphase nuclei of a wide range of species chromosomes are organised into their own specific locations termed territories. These chromosome territories are non-randomly positioned in nuclei which is believed to be related to a spatial aspect of regulatory control over gene expression. In this study we have adopted the pig as a model in which to study interphase chromosome positioning and follows on from other studies from our group of using pig cells and tissues to study interphase genome re-positioning during differentiation. The pig is an important model organism both economically and as a closely related species to study human disease models. This is why great efforts have been made to accomplish the full genome sequence in the last decade. Results This study has positioned most of the porcine chromosomes in in vitro cultured adult and embryonic fibroblasts, early passage stromal derived mesenchymal stem cells and lymphocytes. The study is further expanded to position four chromosomes in ex vivo tissue derived from pig kidney, lung and brain. Conclusions It was concluded that porcine chromosomes are also non-randomly positioned within interphase nuclei with few major differences in chromosome position in interphase nuclei between different cell and tissue types. There were also no differences between preferred nuclear location of chromosomes in in vitro cultured cells as compared to cells in tissue sections. Using a number of analyses to ascertain by what criteria porcine chromosomes were positioned in interphase nuclei; we found a correlation with DNA content.
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Affiliation(s)
- Helen A Foster
- Laboratory of Genomic and Nuclear Health, Centre for Cell and Chromosome Biology, Division of Biosciences, School of Health Sciences and Social Care, Brunel University, Uxbridge, West London UB8 3PH.
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Yacqub-Usman K, Richardson A, Duong CV, Clayton RN, Farrell WE. The pituitary tumour epigenome: aberrations and prospects for targeted therapy. Nat Rev Endocrinol 2012; 8:486-94. [PMID: 22525730 DOI: 10.1038/nrendo.2012.54] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Global and gene-specific changes in the epigenome are hallmarks of most tumour types, including those of pituitary origin. In contrast to genetic mutations, epigenetic changes (aberrant DNA methylation and histone modifications) are potentially reversible. Drugs that specifically target or inhibit DNA methyltransferases (DNMTs) and histone deacetylases (HDACs) can be used to restore the expression of epigenetically silenced genes. These drugs can potentially increase the sensitivity of tumour cells to conventional treatment modalities, such as chemotherapy and radiotherapy. Drug-induced reversal of transcriptional silencing can also be used to restore dopamine-D(2)-receptor-negative, hormone-refractory tumours to their previous receptor-positive, hormone-responsive status. Synergy between HDAC and DNMT inhibitors makes these pharmacological agents more therapeutically effective when administered in combination than when used alone. Studies in pituitary tumour cell lines show that drug-induced re-expression of the epigenetically silenced dopamine D(2) receptor leads to an increase in apoptosis mediated by a receptor agonist. Collectively, the use of drugs to directly or indirectly reverse gene-specific epigenetic changes, in combination with conventional therapeutic interventions, has potential for the clinical management of multiple tumour types-including those of pituitary origin. Furthermore, these drugs can be used to identify epigenetically regulated genes that could be novel, tumour-specific therapeutic targets.
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Affiliation(s)
- Kiren Yacqub-Usman
- Human Disease and Genomics Group, Institute of Science and Technology in Medicine, School of Medicine, Keele University, Stoke-on-Trent, Staffordshire ST4 7QB, UK
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Koester B, Rea TJ, Templeton AR, Szalay AS, Sing CF. Long-range autocorrelations of CpG islands in the human genome. PLoS One 2012; 7:e29889. [PMID: 22253817 PMCID: PMC3256200 DOI: 10.1371/journal.pone.0029889] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2011] [Accepted: 12/07/2011] [Indexed: 01/24/2023] Open
Abstract
In this paper, we use a statistical estimator developed in astrophysics to study the distribution and organization of features of the human genome. Using the human reference sequence we quantify the global distribution of CpG islands (CGI) in each chromosome and demonstrate that the organization of the CGI across a chromosome is non-random, exhibits surprisingly long range correlations (10 Mb) and varies significantly among chromosomes. These correlations of CGI summarize functional properties of the genome that are not captured when considering variation in any particular separate (and local) feature. The demonstration of the proposed methods to quantify the organization of CGI in the human genome forms the basis of future studies. The most illuminating of these will assess the potential impact on phenotypic variation of inter-individual variation in the organization of the functional features of the genome within and among chromosomes, and among individuals for particular chromosomes.
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Affiliation(s)
- Benjamin Koester
- Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Thomas J. Rea
- Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Alan R. Templeton
- Department of Biology, Washington University, St Louis, Missouri, United States of America
| | - Alexander S. Szalay
- Department of Physics and Astronomy, Center for Astrophysical Sciences, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Charles F. Sing
- Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, United States of America
- * E-mail:
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Taylor KH, Shi H, Caldwell CW. Next generation sequencing: advances in characterizing the methylome. Genes (Basel) 2010; 1. [PMID: 24710039 PMCID: PMC3954092 DOI: 10.3390/genes1010143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Epigenetic modifications play an important role in lymphoid malignancies. This has been evidenced by the large body of work published using microarray technologies to generate methylation profiles for numerous types and subtypes of lymphoma and leukemia. These studies have shown the importance of defining the epigenome so that we can better understand the biology of lymphoma. Recent advances in DNA sequencing technology have transformed the landscape of epigenomic analysis as we now have the ability to characterize the genome-wide distribution of chromatin modifications and DNA methylation using next-generation sequencing. To take full advantage of the throughput of next-generation sequencing, there are many methodologies that have been developed and many more that are currently being developed. Choosing the appropriate methodology is fundamental to the outcome of next-generation sequencing studies. In this review, published technologies and methodologies applicable to studying the methylome are presented. In addition, progress towards defining the methylome in lymphoma is discussed and prospective directions that have been made possible as a result of next-generation sequencing technology. Finally, methodologies are introduced that have not yet been published but that are being explored in the pursuit of defining the lymphoma methylome.
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Affiliation(s)
- Kristen H Taylor
- University of Missouri-Columbia School of Medicine, Ellis Fischel Cancer Center, Columbia, MO 65212, USA.
| | - Huidong Shi
- Medical College of Georgia, Augusta, GA 30912, USA.
| | - Charles W Caldwell
- University of Missouri-Columbia School of Medicine, Ellis Fischel Cancer Center, Columbia, MO 65212, USA.
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Next Generation Sequencing: Advances in Characterizing the Methylome. Genes (Basel) 2010; 1:143-65. [DOI: 10.3390/genes1020143] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2010] [Revised: 06/22/2010] [Accepted: 06/28/2010] [Indexed: 12/17/2022] Open
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Dyachenko OV, Shevchuk TV, Buryanov YI. Structural and functional features of the 5-methylcytosine distribution in the eukaryotic genome. Mol Biol 2010. [DOI: 10.1134/s0026893310020019] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Mosesso P, Palitti F, Pepe G, Piñero J, Bellacima R, Ahnstrom G, Natarajan AT. Relationship between chromatin structure, DNA damage and repair following X-irradiation of human lymphocytes. Mutat Res 2010; 701:86-91. [PMID: 20298805 DOI: 10.1016/j.mrgentox.2010.03.005] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2010] [Accepted: 03/09/2010] [Indexed: 11/27/2022]
Abstract
Earlier studies using the technique of premature chromosome condensation (PCC) have shown that in human lymphocytes, exchange type of aberrations are formed immediately following low doses (<2 Gy) of X-rays, whereas at higher doses these aberrations increase with the duration of recovery. This reflects the relative roles of slow and fast repair in the formation of exchange aberrations. The underlying basis for slow and fast repairing components of the DNA repair may be related to differential localization of the initial damage in the genome, i.e., between relaxed and condensed chromatin. We have tried to gain some insight into this problem by (a) X-irradiating lymphocytes in the presence of dimethyl sulfoxide (DMSO) a potent scavenger of radiation-induced .OH radicals followed by PCC and (b) probing the damage and repair in two specific chromosomes, 18 and 19, which are relatively poor and rich in transcribing genes by COMET-FISH, a combination of Comet assay and fluorescence in situ hybridization (FISH) techniques. Results obtained show (a) that both fast appearing and slowly formed exchange aberrations seem to take place in relaxed chromatin, since they are affected to a similar extent by DMSO, (b) significant differential DNA breakage of chromosome 18 compared to chromosome 19 in both G0 and G1 phases of the cell cycle as detected by Comet assay, indicating that relaxed chromatin containing high densities of transcriptionally active genes shows less fragmentation due to fast repair (chromosome 19) compared to chromosome 18, and (c) that relaxed chromatin is repaired or mis-repaired faster than more compact chromatin.
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Affiliation(s)
- Pasquale Mosesso
- Dipartimento di Agrobiologia e Agrochimica, Università degli Studi della Tuscia, Via San Camillo de Lellis s.n.c., 01100 Viterbo, Italy.
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Kristensen LS, Nielsen HM, Hansen LL. Epigenetics and cancer treatment. Eur J Pharmacol 2009; 625:131-42. [PMID: 19836388 DOI: 10.1016/j.ejphar.2009.10.011] [Citation(s) in RCA: 154] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2009] [Revised: 09/01/2009] [Accepted: 10/08/2009] [Indexed: 12/17/2022]
Abstract
In addition to the genetic alterations, observed in cancer cells, are mitotically heritable changes in gene expression not encoded by the DNA sequences, which are referred to as epigenetic changes. DNA methylation is among the most studied epigenetic mechanisms together with various histone modifications involved in chromatin remodeling. As opposed to genetic lesions, the epigenetic changes are potentially reversible by a number of small molecules, known as epi-drugs. This review will focus on the biological mechanisms underlying the epigenetic silencing of tumor suppressor genes observed in cancer cells, and the targeted molecular strategies that have been investigated to reverse these aberrations. In particular, we will focus on DNA methyltransferases (DNMTs) and histone deacetylases (HDACs) as epigenetic targets for cancer treatment. A synergistic effect of a combined use of DNMT and HDAC inhibitors has been observed. Moreover, epi-drugs sensitize multiple different cancer cells to a large variety of other treatment strategies. In particular, we have focused on the ability of DNMT and HDAC inhibitors to restore the estrogen receptor alpha (ERalpha) activity in breast cancer. Finally, we will discuss the potential of DNA methylation changes as biomarkers to be used in diverse areas of cancer treatment, especially for predicting response to treatment with DNMT and HDAC inhibitors.
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Affiliation(s)
- Lasse Sommer Kristensen
- Institute of Human Genetics, The Bartholin Building, University of Aarhus, 8000 Aarhus C, Denmark
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Marella NV, Seifert B, Nagarajan P, Sinha S, Berezney R. Chromosomal rearrangements during human epidermal keratinocyte differentiation. J Cell Physiol 2009; 221:139-46. [PMID: 19626667 DOI: 10.1002/jcp.21855] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Undifferentiated human epidermal keratinocytes are self-renewing stem cells that can be induced to undergo a program of differentiation by varying the calcium chloride concentration in the culture media. We utilize this model of cell differentiation and a 3D chromosome painting technique to document significant changes in the radial arrangement, morphology, and interchromosomal associations between the gene poor chromosome 18 and the gene rich chromosome 19 territories at discrete stages during keratinocyte differentiation. We suggest that changes observed in chromosomal territorial organization provides an architectural basis for genomic function during cell differentiation and provide further support for a chromosome territory code that contributes to gene expression at the global level.
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Affiliation(s)
- Narasimharao V Marella
- Department of Biological Sciences, University at Buffalo, State University of New York, Buffalo, New York 14260, USA
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Kristensen LS, Hansen LL. PCR-based methods for detecting single-locus DNA methylation biomarkers in cancer diagnostics, prognostics, and response to treatment. Clin Chem 2009; 55:1471-83. [PMID: 19520761 DOI: 10.1373/clinchem.2008.121962] [Citation(s) in RCA: 166] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND DNA methylation is a highly characterized epigenetic modification of the human genome that is implicated in cancer. The altered DNA methylation patterns found in cancer cells include not only global hypomethylation but also discrete hypermethylation of specific genes. In particular, numerous tumor suppressor genes undergo epigenetic silencing because of hypermethylated promoter regions. Some of these genes are considered promising DNA methylation biomarkers for early cancer diagnostics, and some have been shown to be valuable for predicting prognosis or the response to therapy. CONTENT PCR-based methods that use sodium bisulfite-treated DNA as a template are generally accepted as the most analytically sensitive and specific techniques for analyzing DNA methylation at single loci. A number of new methods, such as methylation-specific fluorescent amplicon generation (MS-FLAG), methylation-sensitive high-resolution melting (MS-HRM), and sensitive melting analysis after real-time methylation-specific PCR (SMART-MSP), now complement the traditional PCR-based methods and promise to be valuable diagnostic tools. In particular, the HRM technique shows great potential as a diagnostic tool because of its closed-tube format and cost-effectiveness. SUMMARY Numerous traditional and new PCR-based methods have been developed for detecting DNA methylation at single loci. All have characteristic advantages and disadvantages, particularly with regard to use in clinical settings.
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Van Seuningen I, Vincent A. Mucins: a new family of epigenetic biomarkers in epithelial cancers. ACTA ACUST UNITED AC 2009; 3:411-27. [PMID: 23485209 DOI: 10.1517/17530050902852697] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
BACKGROUND Epigenetic regulation of gene expression is a common feature of cancer development and progression. The search for new biomarkers and tools to detect cancer in its early stages has unveiled the usefulness of epigenetics and genes epigenetically regulated as potential targets. Among them, genes encoding mucins have been shown to be regulated by DNA methylation and histone modifications in epithelial cancer cells. These genes encode either secreted glycoproteins necessary for epithelial homeostasis or membrane-bound glycoproteins that participate in tumor progression. OBJECTIVE The important biological functions played by these large molecules in pathophysiology of the epithelia make them key genes to target to propose new therapeutic strategies and new diagnostic and/or prognostic tools in cancer. RESULTS In that context, the recent data regarding the epigenetic regulation of these genes are reported and their potential as biomarkers in cancer is discussed. Mucin genes are also potentially interesting to study as they may be regulated by miRNAs but also regulate miRNA activity. CONCLUSION Epigenetic regulation of mucin genes is at its dawn, but there is great potential in that research to (with new technologies and high-throughput methods) provide quickly new biomarkers (diagnostic and/or prognostic), help tumor identification/classification and propose new therapeutic targets to the clinician and pathologist.
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Affiliation(s)
- Isabelle Van Seuningen
- Inserm, U837, Jean-Pierre Aubert Research Center, Team 5 Epithelial Differentiation and Carcinogenesis, Place de Verdun, 59045 Lille cedex, France +33 320 29 88 67 ; +33 320 53 85 62 ;
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Bayani J, Paliouras M, Planque C, Shan SJC, Graham C, Squire JA, Diamandis EP. Impact of cytogenetic and genomic aberrations of the kallikrein locus in ovarian cancer. Mol Oncol 2008; 2:250-60. [PMID: 19383346 DOI: 10.1016/j.molonc.2008.07.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2008] [Accepted: 07/14/2008] [Indexed: 11/19/2022] Open
Abstract
The tissue kallikrein (KLK) genes are a new source for biomarkers in ovarian cancer. However, there has been no systematic analysis of copy number and structural rearrangements related to their protein expression. Chromosomal rearrangements and copy number changes of the KLK region were studied by FISH with protein levels measured by ELISA. Ovarian cancer and cell lines revealed the KLK region was subject to copy number imbalances or involved in unbalanced translocations and were associated with increased protein expression of KLKs 5, 6, 7, 8, 9, 10 and 11. In this initial study, we introduce the potential for long-range chromosomal effects and copy number as a mechanism for the previously reported aberrant expression of many KLK genes in ovarian cancers.
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Affiliation(s)
- Jane Bayani
- Department of Applied Molecular Oncology, Ontario Cancer Institute, Princess Margaret Hospital, University Health Network, Toronto, Ontario, M5G 2M9, Canada
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Giltay JC, Bokma JA, France H, Beemer FA. VSD, hypospadias and normal psychomotor development in a patient with inv dup 8(q13-q21.2). Clin Genet 2008. [DOI: 10.1111/j.1399-0004.1998.tb02586.x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Taylor KH, Kramer RS, Davis JW, Guo J, Duff DJ, Xu D, Caldwell CW, Shi H. Ultradeep bisulfite sequencing analysis of DNA methylation patterns in multiple gene promoters by 454 sequencing. Cancer Res 2007; 67:8511-8. [PMID: 17875690 DOI: 10.1158/0008-5472.can-07-1016] [Citation(s) in RCA: 221] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
We developed a novel approach for conducting multisample, multigene, ultradeep bisulfite sequencing analysis of DNA methylation patterns in clinical samples. A massively parallel sequencing-by-synthesis method (454 sequencing) was used to directly sequence >100 bisulfite PCR products in a single sequencing run without subcloning. We showed the utility, robustness, and superiority of this approach by analyzing methylation in 25 gene-related CpG rich regions from >40 cases of primary cells, including normal peripheral blood lymphocytes, acute lymphoblastic leukemia (ALL), chronic lymphocytic leukemia (CLL), follicular lymphoma (FL), and mantle cell lymphoma (MCL). A total of 294,631 sequences was generated with an average read length of 131 bp. On average, >1,600 individual sequences were generated for each PCR amplicon far beyond the few clones (<20) typically analyzed by traditional bisulfite sequencing. Comprehensive analysis of CpG methylation patterns at a single DNA molecule level using clustering algorithms revealed differential methylation patterns between diseases. A significant increase in methylation was detected in ALL and FL samples compared with CLL and MCL. Furthermore, a progressive spreading of methylation was detected from the periphery toward the center of select CpG islands in the ALL and FL samples. The ultradeep sequencing also allowed simultaneous analysis of genetic and epigenetic data and revealed an association between a single nucleotide polymorphism and the methylation present in the LRP1B promoter. This new generation of methylome sequencing will provide digital profiles of aberrant DNA methylation for individual human cancers and offers a robust method for the epigenetic classification of tumor subtypes.
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Affiliation(s)
- Kristen H Taylor
- Department of Pathology and Anatomical Sciences, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, Missouri, USA
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Abstract
In general, DNA methylation acts in concert with other epigenetic processes, including histone modifications, chromatin remodeling and microRNAs, to shape the overall chromatin structure of the nucleus and potentially modify its functional state. Aberrant DNA methylation events can occur in a number of human diseases but we are only just beginning to appreciate the scope and magnitude of this process in human health. As one example, in contrast to normal cells, the cancer methylome is characterized by reciprocal hypermethylation of specific regulatory regions of genes along with an overall decrease in the quantity of 5-methylcytosine throughout the remainder of the genome. Currently, near genome-wide technologies are available and have been utilized to examine the extent of DNA methylation in discovery-based studies involving several physiological and disease states. Although early in the process, DNA methylation is being explored as a biomarker to be used in clinical practice for early detection of disease, tumor classification and for predicting disease outcome or recurrence. This perspective focuses on the current and future states of the use of DNA methylation biomarkers in disease diagnosis, prognosis and classification, with a particular emphasis on cancer.
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Affiliation(s)
- Huidong Shi
- University of Missouri-Columbia, School of Medicine, Department of Pathology and Anatomical Sciences, Columbia, MO 65212, USA.
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Cohen SM, Furey TS, Doggett NA, Kaufman DG. Genome-wide sequence and functional analysis of early replicating DNA in normal human fibroblasts. BMC Genomics 2006; 7:301. [PMID: 17134498 PMCID: PMC1702361 DOI: 10.1186/1471-2164-7-301] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2006] [Accepted: 11/29/2006] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The replication of mammalian genomic DNA during the S phase is a highly coordinated process that occurs in a programmed manner. Recent studies have begun to elucidate the pattern of replication timing on a genomic scale. Using a combination of experimental and computational techniques, we identified a genome-wide set of the earliest replicating sequences. This was accomplished by first creating a cosmid library containing DNA enriched in sequences that replicate early in the S phase of normal human fibroblasts. Clone ends were then sequenced and aligned to the human genome. RESULTS By clustering adjacent or overlapping early replicating clones, we identified 1759 "islands" averaging 100 kb in length, allowing us to perform the most detailed analysis to date of DNA characteristics and genes contained within early replicating DNA. Islands are enriched in open chromatin, transcription related elements, and Alu repetitive elements, with an underrepresentation of LINE elements. In addition, we found a paucity of LTR retroposons, DNA transposon sequences, and an enrichment in all classes of tandem repeats, except for dinucleotides. CONCLUSION An analysis of genes associated with islands revealed that nearly half of all genes in the WNT family, and a number of genes in the base excision repair pathway, including four of ten DNA glycosylases, were associated with island sequences. Also, we found an overrepresentation of members of apoptosis-associated genes in very early replicating sequences from both fibroblast and lymphoblastoid cells. These data suggest that there is a temporal pattern of replication for some functionally related genes.
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Affiliation(s)
- Stephanie M Cohen
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Terrence S Furey
- Institute for Genome Sciences and Policy, Duke University, Durham, NC, 27708, USA
| | - Norman A Doggett
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - David G Kaufman
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, North Carolina 27599, USA
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Krieg AJ, Hammond EM, Giaccia AJ. Functional analysis of p53 binding under differential stresses. Mol Cell Biol 2006; 26:7030-45. [PMID: 16980608 PMCID: PMC1592883 DOI: 10.1128/mcb.00322-06] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Hypoxia and DNA damage stabilize the p53 protein, but the subsequent effect that each stress has on transcriptional regulation of known p53 target genes is variable. We have used chromatin immunoprecipitation followed by CpG island (CGI) microarray hybridization to identify promoters bound by p53 under both DNA-damaging and non-DNA-damaging conditions in HCT116 cells. Using gene-specific PCR analysis, we have verified an association with CGIs of the highest enrichment (> 2.5-fold) (REV3L, XPMC2H, HNRPUL1, TOR1AIP1, glutathione peroxidase 1, and SCFD2), with CGIs of intermediate enrichment (> 2.2-fold) (COX7A2L, SYVN1, and JAG2), and with CGIs of low enrichment (> 2.0-fold) (MYC and PCNA). We found little difference in promoter binding when p53 is stabilized by these two distinctly different stresses. However, expression of these genes varies a great deal: while a few genes exhibit classical induction with adriamycin, the majority of the genes are unchanged or are mildly repressed by either hypoxia or adriamycin. Further analysis using p53 mutated in the core DNA binding domain revealed that the interaction of p53 with CGIs may be occurring through both sequence-dependent and -independent mechanisms. Taken together, these experiments describe the identification of novel p53 target genes and the subsequent discovery of distinctly different expression phenomena for p53 target genes under different stress scenarios.
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Affiliation(s)
- Adam J Krieg
- Division of Radiation and Cancer Biology, Department of Radiation Oncology, Stanford University, Stanford, CA 94303-5152, USA
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Holmquist GP, Ashley T. Chromosome organization and chromatin modification: influence on genome function and evolution. Cytogenet Genome Res 2006; 114:96-125. [PMID: 16825762 DOI: 10.1159/000093326] [Citation(s) in RCA: 45] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2005] [Accepted: 12/15/2005] [Indexed: 11/19/2022] Open
Abstract
Histone modifications of nucleosomes distinguish euchromatic from heterochromatic chromatin states, distinguish gene regulation in eukaryotes from that of prokaryotes, and appear to allow eukaryotes to focus recombination events on regions of highest gene concentrations. Four additional epigenetic mechanisms that regulate commitment of cell lineages to their differentiated states are involved in the inheritance of differentiated states, e.g., DNA methylation, RNA interference, gene repositioning between interphase compartments, and gene replication time. The number of additional mechanisms used increases with the taxon's somatic complexity. The ability of siRNA transcribed from one locus to target, in trans, RNAi-associated nucleation of heterochromatin in distal, but complementary, loci seems central to orchestration of chromatin states along chromosomes. Most genes are inactive when heterochromatic. However, genes within beta-heterochromatin actually require the heterochromatic state for their activity, a property that uniquely positions such genes as sources of siRNA to target heterochromatinization of both the source locus and distal loci. Vertebrate chromosomes are organized into permanent structures that, during S-phase, regulate simultaneous firing of replicon clusters. The late replicating clusters, seen as G-bands during metaphase and as meiotic chromomeres during meiosis, epitomize an ontological utilization of all five self-reinforcing epigenetic mechanisms to regulate the reversible chromatin state called facultative (conditional) heterochromatin. Alternating euchromatin/heterochromatin domains separated by band boundaries, and interphase repositioning of G-band genes during ontological commitment can impose constraints on both meiotic interactions and mammalian karyotype evolution.
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Affiliation(s)
- G P Holmquist
- Biology Department, City of Hope Medical Center, Duarte, CA, USA.
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