Epigenomics: the New Technologies of Chromatin Analysis Multicellular Organisms Are Essentially Clonal
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Epigenome Chaos: Stochastic and Deterministic DNA Methylation Events Drive Cancer Evolution
cancers Review Epigenome Chaos: Stochastic and Deterministic DNA Methylation Events Drive Cancer Evolution Giusi Russo 1, Alfonso Tramontano 2, Ilaria Iodice 1, Lorenzo Chiariotti 1 and Antonio Pezone 1,* 1 Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli “Federico II”, 80131 Naples, Italy; [email protected] (G.R.); [email protected] (I.I.); [email protected] (L.C.) 2 Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy; [email protected] * Correspondence: [email protected] or [email protected]; Tel.: +39-081-746-3614 Simple Summary: Cancer is a group of diseases characterized by abnormal cell growth with a high potential to invade other tissues. Genetic abnormalities and epigenetic alterations found in tumors can be due to high levels of DNA damage and repair. These can be transmitted to daughter cells, which assuming other alterations as well, will generate heterogeneous and complex populations. Deciphering this complexity represents a central point for understanding the molecular mechanisms of cancer and its therapy. Here, we summarize the genomic and epigenomic events that occur in cancer and discuss novel approaches to analyze the epigenetic complexity of cancer cell populations. Abstract: Cancer evolution is associated with genomic instability and epigenetic alterations, which contribute to the inter and intra tumor heterogeneity, making genetic markers not accurate to monitor tumor evolution. Epigenetic changes, aberrant DNA methylation and modifications of chromatin proteins, determine the “epigenome chaos”, which means that the changes of epigenetic traits are Citation: Russo, G.; Tramontano, A.; randomly generated, but strongly selected by deterministic events. -
The International Human Epigenome Consortium (IHEC): a Blueprint for Scientific Collaboration and Discovery
The International Human Epigenome Consortium (IHEC): A Blueprint for Scientific Collaboration and Discovery Hendrik G. Stunnenberg1#, Martin Hirst2,3,# 1Department of Molecular Biology, Faculties of Science and Medicine, Radboud University, Nijmegen, The Netherlands 2Department of Microbiology and Immunology, Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada V6T 1Z4. 3Canada’s Michael Smith Genome Science Center, BC Cancer Agency, Vancouver, BC, Canada V5Z 4S6 #Corresponding authors [email protected] [email protected] Abstract The International Human Epigenome Consortium (IHEC) coordinates the generation of a catalogue of high-resolution reference epigenomes of major primary human cell types. The studies now presented (cell.com/XXXXXXX) highlight the coordinated achievements of IHEC teams to gather and interpret comprehensive epigenomic data sets to gain insights in the epigenetic control of cell states relevant for human health and disease. One of the great mysteries in developmental biology is how the same genome can be read by cellular machinery to generate the plethora of different cell types required for eukaryotic life. As appreciation grew for the central roles of transcriptional and epigenetic mechanisms in specification of cellular fates and functions, researchers around the world encouraged scientific funding agencies to develop an organized and standardized effort to exploit epigenomic assays to shed additional light on this process (Beck, Olek et al. 1999, Jones and Martienssen 2005, American Association for Cancer Research Human Epigenome Task and European Union 2008). In March 2009, leading scientists and international health research funding agency representatives were invited to a meeting in Bethesda (MD, USA) to gauge the level of interest in an international epigenomics project and to identify potential areas of focus. -
Integrative Analysis for Elucidating Transcriptomics Landscapes of Glucocorticoid-Induced Osteoporosis
fcell-08-00252 April 13, 2020 Time: 17:59 # 1 ORIGINAL RESEARCH published: 16 April 2020 doi: 10.3389/fcell.2020.00252 Integrative Analysis for Elucidating Transcriptomics Landscapes of Glucocorticoid-Induced Osteoporosis Xiaoxia Ying1†, Xiyun Jin2†, Pingping Wang2†, Yuzhu He1, Haomiao Zhang1, Xiang Ren1, Songling Chai1, Wenqi Fu1, Pengcheng Zhao1, Chen Chen1, Guowu Ma1* and Huiying Liu1* 1 2 Edited by: School of Stomatology, Dalian Medical University, Dalian, China, School of Life Sciences and Technology, Harbin Institute Yongchun Zuo, of Technology, Harbin, China Inner Mongolia University, China Reviewed by: Osteoporosis is the most common bone metabolic disease, characterized by bone Liang Yu, mass loss and bone microstructure changes due to unbalanced bone conversion, Xidian University, China Yanshuo Chu, which increases bone fragility and fracture risk. Glucocorticoids are clinically used to The University of Texas MD Anderson treat a variety of diseases, including inflammation, cancer and autoimmune diseases. Cancer Center, United States However, excess glucocorticoids can cause osteoporosis. Herein we performed an *Correspondence: Guowu Ma integrated analysis of two glucocorticoid-related microarray datasets. The WGCNA [email protected] analysis identified 3 and 4 glucocorticoid-related gene modules, respectively. Differential Huiying Liu expression analysis revealed 1047 and 844 differentially expressed genes in the two [email protected] datasets. After integrating differentially expressed glucocorticoid-related genes, we †These authors have contributed equally to this work found that most of the robust differentially expressed genes were up-regulated. Through protein-protein interaction analysis, we obtained 158 glucocorticoid-related candidate Specialty section: This article was submitted to genes. Enrichment analysis showed that these genes are significantly enriched in the Epigenomics and Epigenetics, osteoporosis related pathways. -
Three Optimized Workflows for Cpg Island Methylation Profiling
APPLICATION NOTE Three Optimized Workflows for CpG Island Methylation Profiling Three Optimized Workflows for CpG Island Methylation Profiling DNA methylation is involved in the Discovery regulation of many cellular processes SOLiD™ Do you know your candidate gene? including X chromosome inactivation, No System chromosome stability, chromatin structure, Yes embryonic development, and transcription. Validation/Screening with Capillary Electrophoresis Do you know your candidate region or In mammals only the 5' carbons of the methylation state of that region? cytosines adjacent to guanines (CpG Yes No dinucleotides: cytosine-phospho-guanine) MSMSA Bisulfite Conversion Bisulfite Conversion are substrates for DNA methylation. (MethylSEQr™ Kit) (MethylSEQr™ Kit) Importance of CpG Islands Are there a high number Bisulfite Specific (BSP) CpG islands are 300−3000 base pair of poly T or A, or large Primer Design fragment size (>300 bps)? (Methyl Primer® Express) stretches of DNA that are CG rich, and are often found within unmethylated Yes No regions of promoters. Profiling of CpG Clone based Sequencing Direct PCR Sequencing island methylation indicates that some Fluorescent BSP PCR genes are more frequently methylated Bisulfite Specific (BSP) Primer Design Bisulfite Specific (BSP) Primer Design Data Analysis (Methyl Primer® Express) (Methyl Primer® Express) than others [1]. Hence, CpG islands play a (GeneMapper® Software v. 4.0) critical role in regulating gene expression. CpG islands found outside promoter BSP PCR BSP PCR Identification of a candidate region or the No regions are commonly methylated, and methylation state of Yes that region? are believed to be responsible for silencing Cloning Yes transcription of repetitive sequences Cycle Sequencing Direct PCR Cycle Sequencing Are there a high number and parasitic sequence elements, such of poly T or A, or large No as viral DNA. -
Epigenome-Wide Association Study (EWAS) on Lipids: the Rotterdam Study Kim V
Braun et al. Clinical Epigenetics (2017) 9:15 DOI 10.1186/s13148-016-0304-4 RESEARCH Open Access Epigenome-wide association study (EWAS) on lipids: the Rotterdam Study Kim V. E. Braun1, Klodian Dhana1, Paul S. de Vries1,2, Trudy Voortman1, Joyce B. J. van Meurs3,4, Andre G. Uitterlinden1,3,4, BIOS consortium, Albert Hofman1,5, Frank B. Hu5,6, Oscar H. Franco1 and Abbas Dehghan1* Abstract Background: DNA methylation is a key epigenetic mechanism that is suggested to be associated with blood lipid levels. We aimed to identify CpG sites at which DNA methylation levels are associated with blood levels of triglycerides, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and total cholesterol in 725 participants of the Rotterdam Study, a population-based cohort study. Subsequently, we sought replication in a non-overlapping set of 760 participants. Results: Genome-wide methylation levels were measured in whole blood using the Illumina Methylation 450 array. Associations between lipid levels and DNA methylation beta values were examined using linear mixed-effect models. All models were adjusted for sex, age, smoking, white blood cell proportions, array number, and position on array. A Bonferroni-corrected p value lower than 1.08 × 10−7 was considered statistically significant. Five CpG sites annotated to genes including DHCR24, CPT1A, ABCG1,andSREBF1 were identified and replicated. Four CpG sites were associated with triglycerides, including CpG sites annotated to CPT1A (cg00574958 and cg17058475), ABCG1 (cg06500161), and SREBF1 (cg11024682). Two CpG sites were associated with HDL-C, including ABCG1 (cg06500161) and DHCR24 (cg17901584). No significant associations were observed with LDL-C or total cholesterol. -
EPIGENOMICS: BEYOND Cpg ISLANDS
REVIEWS EPIGENOMICS: BEYOND CpG ISLANDS Melissa J. Fazzari* and John M. Greally† Epigenomic studies aim to define the location and nature of the genomic sequences that are epigenetically modified. Much progress has been made towards whole-genome epigenetic profiling using molecular techniques, but the analysis of such large and complex data sets is far from trivial given the correlated nature of sequence and functional characteristics within the genome. We describe the statistical solutions that help to overcome the problems with data-set complexity, in anticipation of the imminent wealth of data that will be generated by new genome- wide epigenetic profiling and DNA sequence analysis techniques. So far, epigenomic studies have succeeded in identifying CpG islands, but recent evidence points towards a role for transposable elements in epigenetic regulation, causing the fields of study of epigenetics and transposable element biology to converge. Epigenetic inheritance involves the transmission of issues of correlation and causality — for example, the information not encoded in DNA sequences from cell DNA sequence feature might be the effect of the epige- to daughter cell or from generation to generation. netic process rather than mechanistically involved in Covalent modifications of the DNA or its packaging directing it. As new techniques to characterize epigenetic histones are responsible for transmitting epigenetic processes throughout the genome are being applied, we information. Epigenomics can be defined as a genome- have the potential to generate large amounts of data to wide approach to studying epigenetics. This term facilitate epigenomic studies. It is a good time now to encompasses whole-genome studies of epigenetic consider these issues so that we can design our analytical processes and the identification of the DNA sequences approaches appropriately. -
DNA Methylation Analysis: Choosing the Right Method
biology Review DNA Methylation Analysis: Choosing the Right Method Sergey Kurdyukov 1,* and Martyn Bullock 2 Received: 8 July 2015; Accepted: 22 December 2015; Published: 6 January 2016 Academic Editor: Melanie Ehrlich 1 Genomics Core facility, Kolling Institute of Medical Research, University of Sydney, Sydney 2065, Australia 2 Cancer Genetics Laboratory, Kolling Institute of Medical Research, University of Sydney, Sydney 2065, Australia; [email protected] * Correspondence: [email protected]; Tel.: +61-299-264-756 Abstract: In the burgeoning field of epigenetics, there are several methods available to determine the methylation status of DNA samples. However, choosing the method that is best suited to answering a particular biological question still proves to be a difficult task. This review aims to provide biologists, particularly those new to the field of epigenetics, with a simple algorithm to help guide them in the selection of the most appropriate assay to meet their research needs. First of all, we have separated all methods into two categories: those that are used for: (1) the discovery of unknown epigenetic changes; and (2) the assessment of DNA methylation within particular regulatory regions/genes of interest. The techniques are then scrutinized and ranked according to their robustness, high throughput capabilities and cost. This review includes the majority of methods available to date, but with a particular focus on commercially available kits or other simple and straightforward solutions that have proven to be useful. Keywords: DNA methylation; 5-methylcytosine; CpG islands; epigenetics; next generation sequencing 1. Introduction DNA methylation in vertebrates is characterized by the addition of a methyl or hydroxymethyl group to the C5 position of cytosine, which occurs mainly in the context of CG dinucleotides. -
Epigenetics and Systems Biology 1St Edition Ebook
EPIGENETICS AND SYSTEMS BIOLOGY 1ST EDITION PDF, EPUB, EBOOK Leonie Ringrose | 9780128030769 | | | | | Epigenetics and Systems Biology 1st edition PDF Book Regulation of lipogenic gene expression by lysine-specific histone demethylase-1 LSD1. BEDTools: a flexible suite of utilities for comparing genomic features. New technologies are also needed to study higher order chromatin organization and function. For example, acetylation of the K14 and K9 lysines of the tail of histone H3 by histone acetyltransferase enzymes HATs is generally related to transcriptional competence. The idea that multiple dynamic modifications regulate gene transcription in a systematic and reproducible way is called the histone code , although the idea that histone state can be read linearly as a digital information carrier has been largely debunked. Namespaces Article Talk. It seems existing structures act as templates for new structures. As part of its efforts, the society launched a journal, Epigenetics , in January with the goal of covering a full spectrum of epigenetic considerations—medical, nutritional, psychological, behavioral—in any organism. Sooner or later, with the advancements in biomedical tools, the detection of such biomarkers as prognostic and diagnostic tools in patients could possibly emerge out as alternative approaches. Genotype—phenotype distinction Reaction norm Gene—environment interaction Gene—environment correlation Operon Heritability Quantitative genetics Heterochrony Neoteny Heterotopy. The lysine demethylase, KDM4B, is a key molecule in androgen receptor signalling and turnover. Khan, A. Hidden categories: Webarchive template wayback links All articles lacking reliable references Articles lacking reliable references from September Wikipedia articles needing clarification from January All articles with unsourced statements Articles with unsourced statements from June This mechanism enables differentiated cells in a multicellular organism to express only the genes that are necessary for their own activity. -
High-Resolution Bisulfite-Sequencing of Peripheral Blood DNA Methylation in Early-Onset and Familial Risk Breast Cancer Patients
Author Manuscript Published OnlineFirst on June 7, 2019; DOI: 10.1158/1078-0432.CCR-18-2423 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. High-Resolution Bisulfite-Sequencing of Peripheral Blood DNA Methylation in Early- Onset and Familial Risk Breast Cancer Patients Justin Chen1*, Maria K. Haanpää2*, Joshua J. Gruber1,2, Natalie Jäger1, James M. Ford1,2ǂ, and Michael P. Snyder1ǂ 1Department of Genetics 2Department of Medicine, Oncology Division Stanford University, Stanford, CA 94305, USA. * These authors contributed equally to this work. ǂ Co-corresponding authors Running Title: DNA Methylation and High-Risk Breast Cancer Keywords: DNA Methylation; Breast Cancer; Epigenetics; Cancer Predisposition; Allelic Methylation Additional Information: Financial Support: This work used the Genome Sequencing Service Center by Stanford Center for Genomics and Personalized Medicine Sequencing Center, supported by the grant award NIH S10OD020141. MKH is supported by grants from Sigrid Juselius Foundation, Orion Research Foundation, Päivikki ja Sakari Sohlberg Foundation and Instrumentarium Science Foundation. JJG was supported by fellowships from the Jane Coffin Childs Memorial Fund for Medical Research, Stanford Cancer Institute and Susan G. Komen Foundation, as well as funding from ASCO, the Conquer Cancer Foundation and the Breast Cancer Research Foundation. NJ was supported by an EMBO Long-Term Fellowship (ALTF 325-2014). JMF is supported by the BRCA Foundation and the Breast Cancer Research Foundation. MPS is supported by grants from the NIH including a Centers of Excellence in Genomic Science award (5P50HG00773504). Correspondence: Michael P. Snyder James M. Ford Department of Genetics 269 Campus Dr. Stanford University School of Medicine CCSR Room 1115 300 Pasteur Dr. -
Long Non-Coding Rnas, the Dark Matter: an Emerging Regulatory Component in Plants
International Journal of Molecular Sciences Review Long Non-Coding RNAs, the Dark Matter: An Emerging Regulatory Component in Plants Muhammad Waseem 1,2,3 , Yuanlong Liu 1,2,3 and Rui Xia 1,2,3,* 1 State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou 510640, China; [email protected] (M.W.); [email protected] (Y.L.) 2 Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou 510640, China 3 Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou 510640, China * Correspondence: [email protected] Abstract: Long non-coding RNAs (lncRNAs) are pervasive transcripts of longer than 200 nucleotides and indiscernible coding potential. lncRNAs are implicated as key regulatory molecules in various fundamental biological processes at transcriptional, post-transcriptional, and epigenetic levels. Ad- vances in computational and experimental approaches have identified numerous lncRNAs in plants. lncRNAs have been found to act as prime mediators in plant growth, development, and tolerance to stresses. This review summarizes the current research status of lncRNAs in planta, their classification based on genomic context, their mechanism of action, and specific bioinformatics tools and resources for their identification and characterization. Our overarching goal is to summarize recent progress on understanding the regulatory role of lncRNAs in plant developmental processes such as flowering time, reproductive growth, and abiotic stresses. We also review the role of lncRNA in nutrient stress and the ability to improve biotic stress tolerance in plants. -
HITTING the MARK in CANCER EPIGENETICS Research in Cancer Epigenetics Is Advancing Rapidly
HITTING THE MARK IN CANCER EPIGENETICS Research in cancer epigenetics is advancing rapidly. Here’s an overview of the tools and methods scientists use to drive progress in the field. For by CUSTOM MEDIA ADVERTISEMENT FEATURE ADVERTISEMENT FEATURE says. “We usually put these cytosine ring — is the best look and behave. Illumina’s Andrew Feber, a cancer patients on a watch and understood epigenetic marker methylation array covers geneticist at UCL Cancer HITTING THE MARK wait scheme. We could have today. Methylation typically 850,000 sites on the Institute in London, is one spared her all that therapy.” silences gene transcription genome, and analyses with of those scientists. He aims Pfister’s experience in patterns that are it, he says, “are sufficient to find epigenetic traces IN CANCER EPIGENETICS illustrates the growing characteristic to specific cell to capture the cancer cell’s of bladder cancer in urine, potential of genomic types and tissues. But when basic identity”. an endeavour he says is RESEARCH IN CANCER EPIGENETICS IS ADVANCING RAPIDLY. Here’s an overview of the tools technologies in epigenetics to it silences tumour suppressor Esteller points out that particularly well suited to and methods scientists use to drive progress in the field. contribute to understanding, genes, cancer may appear. methylation arrays have sequencing since it can diagnosing and treating The first epigenetic many positive aspects, such read the often fragmented cancer. Epigenetic technologies — methylation as low-cost and amenability arrangements of DNA modifications to DNA and arrays — emerged about 15 to formalin-fixed, paraffin- letters in liquid specimens. n 2013 Stefan Pfister, RNA regulate how and when years ago with the launch embedded tissue samples. -
Systems Biology and Its Relevance to Alcohol Research
Commentary: Systems Biology and Its Relevance to Alcohol Research Q. Max Guo, Ph.D., and Sam Zakhari, Ph.D. Systems biology, a new scientific discipline, aims to study the behavior of a biological organization or process in order to understand the function of a dynamic system. This commentary will put into perspective topics discussed in this issue of Alcohol Research & Health, provide insight into why alcohol-induced disorders exemplify the kinds of conditions for which a systems biological approach would be fruitful, and discuss the opportunities and challenges facing alcohol researchers. KEY WORDS: Alcohol-induced disorders; alcohol research; biomedical research; systems biology; biological systems; mathematical modeling; genomics; epigenomics; transcriptomics; metabolomics; proteomics ntil recently, most biologists’ emerging discipline that deals with, Alcohol Research & Health intend to efforts have been devoted to and takes advantage of, these enormous address. In this commentary, we will Ureducing complex biological amounts of data. Although scientists try to put the topics discussed in this systems to the properties of individual and engineers have applied the concept issue into perspective, provide views molecules. However, with the com of an integrated systemic approach for on the significance of systems biology pleted sequencing of the genomes of years, systems biology has only emerged as a new, distinct discipline to study 1 High-throughput genomics is the study of the structure humans, mice, rats, and many other and function of an organism’s complete genetic content, organisms, technological advances in complex biological systems in the past or genome, using technology that analyzes a large num the fields of high-throughput genomics1 several years.