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Nasrullah, Hussain A, Ahmed S, Rasool M, Shah AJ. DNA methylation across the tree of life, from micro to macro-organism. Bioengineered 2022; 13:1666-1685. [PMID: 34986742 PMCID: PMC8805842 DOI: 10.1080/21655979.2021.2014387] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
DNA methylation is a process in which methyl (CH3) groups are added to the DNA molecule. The DNA segment does not change in the sequence, but DNA methylation could alter the action of DNA. Different enzymes like DNA methyltransferases (DNMTs) take part in methylation of cytosine/adenine nucleosides in DNA. In prokaryotes, DNA methylation is performed to prevent the attack of phage and also plays a role in the chromosome replication and repair. In fungi, DNA methylation is studied to see the transcriptional changes, as in insects, the DNA methylation is not that well-known, it plays a different role like other organisms. In mammals, the DNA methylation is related to different types of cancers and plays the most important role in the placental development and abnormal DNA methylation connected with diseases like cancer, autoimmune diseases, and rheumatoid arthritis.
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Affiliation(s)
- Nasrullah
- Center for Advanced Studies in Vaccinology & Biotechnology (Casvab), University of Baluchistan, Quetta- Pakistan. E-mails:
| | - Abrar Hussain
- Department of Biotechnology, Faculty of Life Sciences, Buitems, Quetta-Pakistan. E-mails:
| | - Sagheer Ahmed
- Department of Basic Medical Sciences, Shifa College of Pharmaceutical Sciences, Shifa Tameer-e-Millat University, Islamabad, Pakistan. E-mails:
| | - Mahmood Rasool
- Center of Excellence in Genomic Medicine Research, Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia. E-mails:
| | - Abdul Jabbar Shah
- Department of Pharmaceutical Sciences, Comsats University, Abbottabad. E-mails:
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2
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Angeles AK, Janke F, Bauer S, Christopoulos P, Riediger AL, Sültmann H. Liquid Biopsies beyond Mutation Calling: Genomic and Epigenomic Features of Cell-Free DNA in Cancer. Cancers (Basel) 2021; 13:5615. [PMID: 34830770 PMCID: PMC8616179 DOI: 10.3390/cancers13225615] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/08/2021] [Accepted: 11/09/2021] [Indexed: 01/12/2023] Open
Abstract
Cell-free DNA (cfDNA) analysis using liquid biopsies is a non-invasive method to gain insights into the biology, therapy response, mechanisms of acquired resistance and therapy escape of various tumors. While it is well established that individual cancer treatment options can be adjusted by panel next-generation sequencing (NGS)-based evaluation of driver mutations in cfDNA, emerging research additionally explores the value of deep characterization of tumor cfDNA genomics and fragmentomics as well as nucleosome modifications (chromatin structure), and methylation patterns (epigenomics) for comprehensive and multi-modal assessment of cfDNA. These tools have the potential to improve disease monitoring, increase the sensitivity of minimal residual disease identification, and detection of cancers at earlier stages. Recent progress in emerging technologies of cfDNA analysis is summarized, the added potential clinical value is highlighted, strengths and limitations are identified and compared with conventional targeted NGS analysis, and current challenges and future directions are discussed.
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Affiliation(s)
- Arlou Kristina Angeles
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; (A.K.A.); (F.J.); (S.B.)
- National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany;
- Translational Lung Research Center, German Center for Lung Research (DZL) at Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Florian Janke
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; (A.K.A.); (F.J.); (S.B.)
- National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany;
- Translational Lung Research Center, German Center for Lung Research (DZL) at Heidelberg University Hospital, 69120 Heidelberg, Germany
- Medical Faculty, Heidelberg University, 69120 Heidelberg, Germany
| | - Simone Bauer
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; (A.K.A.); (F.J.); (S.B.)
- National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany;
- Translational Lung Research Center, German Center for Lung Research (DZL) at Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Petros Christopoulos
- National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany;
- Translational Lung Research Center, German Center for Lung Research (DZL) at Heidelberg University Hospital, 69120 Heidelberg, Germany
- Department of Oncology, Thoraxklinik at Heidelberg University Hospital, 69126 Heidelberg, Germany
| | - Anja Lisa Riediger
- Helmholtz Young Investigator Group, Multiparametric Methods for Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany;
- Department of Urology, Heidelberg University Hospital, 69120 Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Holger Sültmann
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; (A.K.A.); (F.J.); (S.B.)
- National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany;
- Translational Lung Research Center, German Center for Lung Research (DZL) at Heidelberg University Hospital, 69120 Heidelberg, Germany
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3
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Interplay between Epigenetics and Cellular Metabolism in Colorectal Cancer. Biomolecules 2021; 11:biom11101406. [PMID: 34680038 PMCID: PMC8533383 DOI: 10.3390/biom11101406] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 09/17/2021] [Accepted: 09/18/2021] [Indexed: 01/30/2023] Open
Abstract
Cellular metabolism alterations have been recognized as one of the most predominant hallmarks of colorectal cancers (CRCs). It is precisely regulated by many oncogenic signaling pathways in all kinds of regulatory levels, including transcriptional, post-transcriptional, translational and post-translational levels. Among these regulatory factors, epigenetics play an essential role in the modulation of cellular metabolism. On the one hand, epigenetics can regulate cellular metabolism via directly controlling the transcription of genes encoding metabolic enzymes of transporters. On the other hand, epigenetics can regulate major transcriptional factors and signaling pathways that control the transcription of genes encoding metabolic enzymes or transporters, or affecting the translation, activation, stabilization, or translocation of metabolic enzymes or transporters. Interestingly, epigenetics can also be controlled by cellular metabolism. Metabolites not only directly influence epigenetic processes, but also affect the activity of epigenetic enzymes. Actually, both cellular metabolism pathways and epigenetic processes are controlled by enzymes. They are highly intertwined and are essential for oncogenesis and tumor development of CRCs. Therefore, they are potential therapeutic targets for the treatment of CRCs. In recent years, both epigenetic and metabolism inhibitors are studied for clinical use to treat CRCs. In this review, we depict the interplay between epigenetics and cellular metabolism in CRCs and summarize the underlying molecular mechanisms and their potential applications for clinical therapy.
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Ahn J, Heo S, Lee J, Bang D. Introduction to Single-Cell DNA Methylation Profiling Methods. Biomolecules 2021; 11:1013. [PMID: 34356635 PMCID: PMC8301785 DOI: 10.3390/biom11071013] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 07/05/2021] [Accepted: 07/06/2021] [Indexed: 02/06/2023] Open
Abstract
DNA methylation is an epigenetic mechanism that is related to mammalian cellular differentiation, gene expression regulation, and disease. In several studies, DNA methylation has been identified as an effective marker to identify differences between cells. In this review, we introduce single-cell DNA-methylation profiling methods, including experimental strategies and approaches to computational data analysis. Furthermore, the blind spots of the basic analysis and recent alternatives are briefly described. In addition, we introduce well-known applications and discuss future development.
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Affiliation(s)
- Jongseong Ahn
- Department of Chemistry, Yonsei University, Seoul 03722, Korea; (J.A.); (S.H.)
| | - Sunghoon Heo
- Department of Chemistry, Yonsei University, Seoul 03722, Korea; (J.A.); (S.H.)
| | - Jihyun Lee
- Department of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul 02447, Korea
- Department of Biomedical Science and Technology, Kyung Hee University, Seoul 02447, Korea
| | - Duhee Bang
- Department of Chemistry, Yonsei University, Seoul 03722, Korea; (J.A.); (S.H.)
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Timbergen MJM, Boers R, Vriends ALM, Boers J, van IJcken WFJ, Lavrijsen M, Grünhagen DJ, Verhoef C, Sleijfer S, Smits R, Gribnau J, Wiemer EAC. Differentially Methylated Regions in Desmoid-Type Fibromatosis: A Comparison Between CTNNB1 S45F and T41A Tumors. Front Oncol 2020; 10:565031. [PMID: 33194643 PMCID: PMC7658920 DOI: 10.3389/fonc.2020.565031] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Accepted: 09/24/2020] [Indexed: 11/16/2022] Open
Abstract
Introduction The majority of desmoid-type fibromatosis (DTF) tumors harbor a β-catenin mutation, affecting specific codons in CTNNB1 exon 3. S45F tumors are reported to have a higher chance of recurrence after surgery and more resistance to systemic treatments compared to wild-type (WT) and T41A tumors. The aim of this pilot study was to examine the genome-wide DNA methylation profiles of S45F and T41A mutated DTF, to explain the observed differences in clinical behavior between these DTF subtypes. Material and Methods Genome-wide analysis of DNA methylation was performed using MeD-seq on formalin-fixed, paraffin-embedded primary DTF samples harboring a S45F (n = 14) or a T41A (n = 15) mutation. Differentially methylated regions (DMRs) between S45F and T41A DTF were identified and used for a supervised hierarchical cluster analysis. DMRs with a fold-change ≥1.5 were considered to be differentially methylated and differences between S45F and T41A tumors were quantitatively assessed. The effect of DMRs on the expression of associated genes was assessed using an independent mRNA expression dataset. Protein-protein interactions between WT β-catenin and mutant variants and DNA methyltransferase 1 (DNMT1) were examined by immunoprecipitation experiments. Results MeD-seq analyses indicated 354 regions that displayed differential methylation. Cluster analysis yielded no distinct clusters based on mutation, sex, tumor site or tumor size. A supervised clustering based on DMRs between small (≤34 mm) and large (>87 mm) DTF distinguished the two groups. Only ten DMRs displayed a fold change of ≥1.5 and six of them were found associated with the following genes: NLRP4, FOXK2, PERM1, CCDC6, NOC4L, and DUX4L6. The effects of DMRs on gene expression yielded a significant difference (p < 0.05) in the expression between S45F and T41A for CCDC6 and FOXK2 but not for all Affymetrix probe-sets used to detect these genes. Immunoprecipitations did not reveal an association of WT β-catenin or mutant variants with DNMT1. Conclusion This study demonstrated that S45F and T41A DTF tumors did not exhibit gross differences in DNA methylation patterns. This implies that distinct DNA methylation profiles are not the sole determinant for the divergent clinical behavior of these different DTF mutant subtypes.
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Affiliation(s)
- Milea J M Timbergen
- Department of Surgical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Ruben Boers
- Department of Developmental Biology, Oncode Institute, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | - Anne L M Vriends
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Joachim Boers
- Department of Developmental Biology, Oncode Institute, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | | | - Marla Lavrijsen
- Department of Gastroenterology and Hepatology, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | - Dirk J Grünhagen
- Department of Surgical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Cornelis Verhoef
- Department of Surgical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Stefan Sleijfer
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Ron Smits
- Department of Gastroenterology and Hepatology, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | - Joost Gribnau
- Department of Developmental Biology, Oncode Institute, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | - Erik A C Wiemer
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands
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6
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Zhu H, Zhu H, Tian M, Wang D, He J, Xu T. DNA Methylation and Hydroxymethylation in Cervical Cancer: Diagnosis, Prognosis and Treatment. Front Genet 2020; 11:347. [PMID: 32328088 PMCID: PMC7160865 DOI: 10.3389/fgene.2020.00347] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 03/23/2020] [Indexed: 12/16/2022] Open
Abstract
Recent discoveries have led to the development of novel ideas and techniques that have helped elucidate the correlation between epigenetics and tumor biology. Nowadays, the field of tumor genetics has evolved to include a new type of regulation by epigenetics. An increasing number of studies have demonstrated the importance of DNA methylation and hydroxymethylation in specific genes in the progression of cervical cancer. Determining the methylation and hydroxymethylation profiles of these genes will help in the early prevention and diagnosis, monitoring recurrence, prognosis, and treatment of patients with cervical cancer. In this review, we focus on the significance of aberrant DNA methylation and hydroxymethylation in cervical cancer and the use of these epigenetic signatures in clinical settings.
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Affiliation(s)
- Hongming Zhu
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
| | - He Zhu
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
| | - Miao Tian
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
| | - Dongying Wang
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
| | - Jiaxing He
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
| | - Tianmin Xu
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
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7
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Zhang L, Wang K, Deng Q, Li W, Zhang X, Liu X. Identification of Key Hydroxymethylated Genes and Transcription Factors Associated with Alpha-Fetoprotein-Negative Hepatocellular Carcinoma. DNA Cell Biol 2019; 38:1346-1356. [PMID: 31618054 DOI: 10.1089/dna.2019.4689] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
DNA hydroxymethylation is one of the major epigenetic mechanisms mediating the development of several human cancers. This study aimed to identify key hydroxymethylated genes and transcription factors (TFs) associated with alpha-fetoprotein (AFP)-negative hepatocellular carcinoma (HCC) using whole-genome DNA hydroxymethylation profiling. A total of 615 differentially hydroxymethylated regions (DHMRs) were identified from AFP-negative HCC tissues compared to adjacent normal tissues. DHMR-associated genes were significantly enriched in gene ontology functions associated with actin binding, cell leading edge, and blood vessel morphogenesis and pathways such as MAPK signaling pathway, neuroactive ligand-receptor interaction, and axon guidance. Moreover, protein-protein interaction (PPI) network analysis showed that PH domain and leucine-rich repeat protein phosphatase 1 (PHLPP1) and SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily A, member 2 (SMARCA2) had higher degrees and were hub nodes. Furthermore, TF prediction analysis showed that TFs, such as nuclear factor I C (NFIC) and GATA binding protein 3 (GATA3), regulated many DHMR-associated genes. Our findings reveal that key hydroxymethylated genes such as PHLPP1 and SMARCA2, as well as TFs such as NFIC and GATA, may be involved in the development of AFP-negative HCC. These molecules may be potential biomarkers for AFP-negative HCC.
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Affiliation(s)
- Lan Zhang
- Department of Hepatology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Kesheng Wang
- Shanghai Tenth People's Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Qing Deng
- Department of Central Laboratory Medicine, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wei Li
- Department of Central Laboratory Medicine, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiaofeng Zhang
- Department of Central Laboratory Medicine, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xing Liu
- Department of Central Laboratory Medicine, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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8
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Ma X, Liu C, Xu X, Liu L, Gao C, Zhuang J, Li H, Feng F, Zhou C, Liu Z, Li J, Wei J, Wang L, Sun C. Biomarker expression analysis in different age groups revealed age was a risk factor for breast cancer. J Cell Physiol 2019; 235:4268-4278. [PMID: 31608996 DOI: 10.1002/jcp.29304] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 09/30/2019] [Indexed: 12/24/2022]
Abstract
The relationship between age and breast cancer is ambiguous. Here, we analyzed the differential expression pattern of long noncoding RNAs (lncRNAs) and messenger RNAs (mRNAs) in different age groups to provide an effective association between age and breast cancer risk at the molecular level. We integrated the microarray information from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) data sets. The patients were divided into young ( < 50 years) and old ( ≥ 50 years) age groups and evaluated by differential gene expression, weighted gene correlation network analysis (WGCNA), functional enrichment analyses, and coexpression analysis. To determine their potential clinical significance, univariate Cox regression analysis and survival assessment were conducted. We identified two lncRNAs (AL139280.1 and AP000851.1) and three mRNAs (MT1M, HBB, and TFPI2) as the risk markers, and Gene set enrichment analysis (GSEA) focusing on a single gene revealed that "pyrimidine metabolism," "cell cycle," and "P53 signaling pathway" were coenriched. These data demonstrated that age may be a risk factor for breast carcinogenesis and prognosis and provide an in-depth molecular characterization based on the expression patterns of lncRNAs and mRNAs.
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Affiliation(s)
- Xiaoran Ma
- First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Cun Liu
- First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xiaowei Xu
- First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Lijuan Liu
- Department of Oncology, Weifang Chinese Medicine Hospital, Weifang, China
| | - Chundi Gao
- First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jing Zhuang
- Department of Oncology, Weifang Chinese Medicine Hospital, Weifang, China
| | - Huayao Li
- First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Fubin Feng
- Department of Oncology, Weifang Chinese Medicine Hospital, Weifang, China
| | - Chao Zhou
- Department of Oncology, Weifang Chinese Medicine Hospital, Weifang, China
| | - Zhen Liu
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Jie Li
- First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Junyu Wei
- Department of Oncology, Weifang Chinese Medicine Hospital, Weifang, China
| | - Lu Wang
- Department of Oncology, Weifang Chinese Medicine Hospital, Weifang, China
| | - Changgang Sun
- Department of Oncology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.,Department of Basic Medical Science, Qingdao University, Qingdao, 266071, China
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9
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Slynko A, Benner A. Statistical methods for classification of 5hmC levels based on the Illumina Inifinium HumanMethylation450 (450k) array data, under the paired bisulfite (BS) and oxidative bisulfite (oxBS) treatment. PLoS One 2019; 14:e0218103. [PMID: 31194780 PMCID: PMC6563990 DOI: 10.1371/journal.pone.0218103] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 05/27/2019] [Indexed: 12/22/2022] Open
Abstract
Hydroxymethylcytosine (5hmC) methylation is a well-known epigenetic mark that is involved in gene regulation and may impact genome stability. To investigate a possible role of 5hmC in cancer development and progression, one must be able to detect and quantify its level first. In this paper, we address the issue of 5hmC detection at a single base resolution, starting with consideration of the well-established 5hmC measure Δβ and, in particular, with an analysis of its properties, both analytically and empirically. Then we propose several alternative hydroxymethylation measures and compare their properties with those of Δβ. In the absence of a gold standard, the (pairwise) resemblance of those 5hmC measures to Δβ is characterized by means of a similarity analysis and relative accuracy analysis. All results are illustrated on matched healthy and cancer tissue data sets as derived by means of bisulfite (BS) and oxidative bisulfite converting (oxBS) procedures.
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Affiliation(s)
- Alla Slynko
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada
- * E-mail:
| | - Axel Benner
- Division of Biostatistics, German Cancer Research Center, Heidelberg, Germany
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10
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Lien YC, Condon DE, Georgieff MK, Simmons RA, Tran PV. Dysregulation of Neuronal Genes by Fetal-Neonatal Iron Deficiency Anemia Is Associated with Altered DNA Methylation in the Rat Hippocampus. Nutrients 2019; 11:nu11051191. [PMID: 31137889 PMCID: PMC6566599 DOI: 10.3390/nu11051191] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 05/21/2019] [Accepted: 05/22/2019] [Indexed: 02/06/2023] Open
Abstract
Early-life iron deficiency results in long-term abnormalities in cognitive function and affective behavior in adulthood. In preclinical models, these effects have been associated with long-term dysregulation of key neuronal genes. While limited evidence suggests histone methylation as an epigenetic mechanism underlying gene dysregulation, the role of DNA methylation remains unknown. To determine whether DNA methylation is a potential mechanism by which early-life iron deficiency induces gene dysregulation, we performed whole genome bisulfite sequencing to identify loci with altered DNA methylation in the postnatal day (P) 15 iron-deficient (ID) rat hippocampus, a time point at which the highest level of hippocampal iron deficiency is concurrent with peak iron demand for axonal and dendritic growth. We identified 229 differentially methylated loci and they were mapped within 108 genes. Among them, 63 and 45 genes showed significantly increased and decreased DNA methylation in the P15 ID hippocampus, respectively. To establish a correlation between differentially methylated loci and gene dysregulation, the methylome data were compared to our published P15 hippocampal transcriptome. Both datasets showed alteration of similar functional networks regulating nervous system development and cell-to-cell signaling that are critical for learning and behavior. Collectively, the present findings support a role for DNA methylation in neural gene dysregulation following early-life iron deficiency.
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Affiliation(s)
- Yu-Chin Lien
- Center for Research on Reproduction and Women's Health, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - David E Condon
- Center for Research on Reproduction and Women's Health, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Michael K Georgieff
- Department of Pediatrics, University of Minnesota School of Medicine, Minneapolis, MN 55455, USA.
| | - Rebecca A Simmons
- Center for Research on Reproduction and Women's Health, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA 19104, USA.
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
| | - Phu V Tran
- Department of Pediatrics, University of Minnesota School of Medicine, Minneapolis, MN 55455, USA.
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11
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Hu H, Chen X, Wang C, Jiang Y, Li J, Ying X, Yang Y, Li B, Zhou C, Zhong J, Wu D, Ying J, Duan S. The role of TFPI2 hypermethylation in the detection of gastric and colorectal cancer. Oncotarget 2017; 8:84054-84065. [PMID: 29137404 PMCID: PMC5663576 DOI: 10.18632/oncotarget.21097] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Accepted: 08/28/2017] [Indexed: 02/06/2023] Open
Abstract
Gastrointestinal cancer is a prevalent disease with high morbidity and mortality. Tissue factor pathway inhibitor 2 (TFPI2) gene could protect the extracellular matrix of cancer cells from degradation and tumor invasion. The goal of our study was to estimate the diagnostic value of TFPI2 hypermethylation in gastric cancer (GC) and colorectal cancer (CRC). TFPI2 methylation was measured by quantitative methylation-specific polymerase chain reaction (qMSP) method in 114 GC and 80 CRC tissues and their paired non-tumor tissues. Our results showed that TFPI2 methylation was significantly higher in tumor tissues (GC: 29.940% vs. 12.785%, P < 0.001; CRC: 26.930% vs. 5.420%, P < 0.001). The methylation level of TFPI2 in colorectal tumor tissues was significantly higher than that in colorectal normal tissues (26.930% versus 0.002%, P < 0.00001). In GC, TFPI2 hypermethylation yielded an area under the curve (AUC) of 0.762 (95% CI: 0.696–0.828) with a sensitivity of 68% and a specificity of 83%. In CRC, TFPI2 hypermethylation yielded an AUC of 0.759 (95% CI: 0.685–0.834) with a sensitivity of 61% and a specificity of 84%. Similarly, TCGA data also supported TFPI2 hypermethylation was a promising diagnostic marker for GC and CRC. Moreover, the dual-luciferase reporter assay showed TFPI2 fragment could upregulate gene expression (fold change = 5, P = 0.005). Data mining further indicated that TFPI2 expression in CRC cell lines was significantly increased after 5’-AZA-deoxycytidine treatment (fold change > 1.37). In conclusion, TFPI2 hypermethylation might be a promising diagnostic biomarker for GC and CRC.
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Affiliation(s)
- Haochang Hu
- Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Xiaoying Chen
- Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Cheng Wang
- Department of Medical Oncology, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Zhejiang 312000, China
| | - Yuting Jiang
- Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Jingjing Li
- Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, China
| | - Xiuru Ying
- Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Yong Yang
- Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Bin Li
- Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Cong Zhou
- Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Jie Zhong
- Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Dongping Wu
- Department of Medical Oncology, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Zhejiang 312000, China
| | - Jieer Ying
- Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, China
| | - Shiwei Duan
- Medical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China
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Hypo-hydroxymethylation of rRNA genes in the precocious Eriocheir sinensis testes revealed using hMeDIP-seq. Sci Rep 2017; 7:11237. [PMID: 28894189 PMCID: PMC5593943 DOI: 10.1038/s41598-017-11517-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Accepted: 08/25/2017] [Indexed: 11/30/2022] Open
Abstract
Precocious puberty is a common phenomenon in crab breeding that seriously reduces the economic benefits for crab farmers. To address this problem, this study aimed to explore the potential functions of both methylation and hydroxymethylation of testis rRNA genes with respect to precocious puberty in Eriocheir sinensis. The results showed that the rRNA genes in normally developing testes of E. sinensis had low levels of methylation and high levels of hydroxymethylation; however, although methylation levels were similar, the level of hydroxymethylation in precocious testes was lower than normal. Highly significant differences (P < 0.01) in the hydroxymethylation of the 18S and 28S rRNA genes were found between precocious and normal testes. Our results suggested that both the 18S and 28S rRNA genes, which are normally downregulated by hypo-hydroxymethylation, might be involved in the process of precocious puberty. Our results also implied that hydroxymethylation of the 18S and 28S rRNA genes might be used as an important epigenetic molecular marker to evaluate economically significant potential for growth and breeding in this species.
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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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Gilat N, Tabachnik T, Shwartz A, Shahal T, Torchinsky D, Michaeli Y, Nifker G, Zirkin S, Ebenstein Y. Single-molecule quantification of 5-hydroxymethylcytosine for diagnosis of blood and colon cancers. Clin Epigenetics 2017; 9:70. [PMID: 28725280 PMCID: PMC5512773 DOI: 10.1186/s13148-017-0368-9] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Accepted: 06/27/2017] [Indexed: 11/10/2022] Open
Abstract
Background The DNA modification 5-hydroxymethylcytosine (5hmC) is now referred to as the sixth base of DNA with evidence of tissue-specific patterns and correlation with gene regulation and expression. This epigenetic mark was recently reported as a potential biomarker for multiple types of cancer, but its application in the clinic is limited by the utility of recent 5hmC quantification assays. We use a recently developed, ultra-sensitive, fluorescence-based single-molecule method for global quantification of 5hmC in genomic DNA. The high sensitivity of the method gives access to precise quantification of extremely low 5hmC levels common in many cancers. Methods We assessed 5hmC levels in DNA extracted from a set of colon and blood cancer samples and compared 5hmC levels with healthy controls, in a single-molecule approach. Results Using our method, we observed a significantly reduced level of 5hmC in blood and colon cancers and could distinguish between colon tumor and colon tissue adjacent to the tumor based on the global levels of this molecular biomarker. Conclusions Single-molecule detection of 5hmC allows distinguishing between malignant and healthy tissue in clinically relevant and accessible tissue such as blood and colon. The presented method outperforms current commercially available quantification kits and may potentially be developed into a widely used, 5hmC quantification assay for research and clinical diagnostics. Furthermore, using this method, we confirm that 5hmC is a good molecular biomarker for diagnosing colon and various types of blood cancer. Electronic supplementary material The online version of this article (doi:10.1186/s13148-017-0368-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Noa Gilat
- School of Chemistry, Center for Nanoscience and Nanotechnology, Center for Light-Matter Interaction, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Tzlil Tabachnik
- School of Chemistry, Center for Nanoscience and Nanotechnology, Center for Light-Matter Interaction, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Amit Shwartz
- School of Chemistry, Center for Nanoscience and Nanotechnology, Center for Light-Matter Interaction, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Tamar Shahal
- School of Chemistry, Center for Nanoscience and Nanotechnology, Center for Light-Matter Interaction, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Dmitry Torchinsky
- School of Chemistry, Center for Nanoscience and Nanotechnology, Center for Light-Matter Interaction, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Yael Michaeli
- School of Chemistry, Center for Nanoscience and Nanotechnology, Center for Light-Matter Interaction, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Gil Nifker
- School of Chemistry, Center for Nanoscience and Nanotechnology, Center for Light-Matter Interaction, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Shahar Zirkin
- School of Chemistry, Center for Nanoscience and Nanotechnology, Center for Light-Matter Interaction, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Yuval Ebenstein
- School of Chemistry, Center for Nanoscience and Nanotechnology, Center for Light-Matter Interaction, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
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