Relevant bibliographies by topics / NA methylation profiling

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Academic literature on the topic 'NA methylation profiling'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "NA methylation profiling"

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Lobon-Iglesias, María-Jesús, Arnault Tauziede-Espariat, Mamy Andrianteranagna, Zhiyan Han, Julien Masliah-Planchon, and Franck Bourdeaut. "ATRT-27. COST-EFFECTIVE ASSAYS TO SUBGROUP ATRT IN THE DAILY ROUTINE." Neuro-Oncology 22, Supplement_3 (2020): iii281. http://dx.doi.org/10.1093/neuonc/noaa222.026.

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Abstract Three atypical teratoid rhabdoid tumors (ATRT) molecular subgroups with different bio-clinical characteristics have been reported (TYR, SHH and MYC). Molecular subgrouping relies on either methylation profiling (reference methods), or expression profiling. However, the cost-effectiveness of such pangenomic screening is questionable. This work aims to study the reliability of alternative techniques for subgroup classification in the daily routine. Illumina EPIC-arrays were performed on 46 samples. Among those cases, expression profiling were analysed by RNAseq (n=30). We designed a 26-
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Toyota, Minoru, Kenneth J. Kopecky, Mutsumi-Ohe Toyota, Kam-Wing Jair, Cheryl L. Willman, and Jean-Pierre J. Issa. "Methylation profiling in acute myeloid leukemia." Blood 97, no. 9 (2001): 2823–29. http://dx.doi.org/10.1182/blood.v97.9.2823.

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Abstract Aberrant methylation of multiple CpG islands has been described in acute myeloid leukemia (AML), but it is not known whether these are independent events or whether they reflect specific methylation defects in a subset of cases. To study this issue, the methylation status of 14 promoter-associated CpG islands was analyzed in 36 cases of AML previously characterized for estrogen-receptor methylation (ERM). Cases with methylation density of 10% or greater were considered positive. Seventeen cases (47%) were ERM+ while 19 cases were ERM−. Hypermethylation of any of the following,p15, p16
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Rukova, B., R. Staneva, S. Hadjidekova, G. Stamenov, V. Milanova, and D. Toncheva. "Genome-Wide Methylation Profiling of Schizophrenia." Balkan Journal of Medical Genetics 17, no. 2 (2014): 15–23. http://dx.doi.org/10.2478/bjmg-2014-0070.

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Abstract Schizophrenia is one of the major psychiatric disorders. It is a disorder of complex inheritance, involving both heritable and environmental factors. DNA methylation is an inheritable epigenetic modification that stably alters gene expression. We reasoned that genetic modifications that are a result of environmental stimuli could also make a contribution. We have performed 26 high-resolution genomewide methylation array analyses to determine the methylation status of 27,627 CpG islands and compared the data between patients and healthy controls. Methylation profiles of DNAs were analy
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Jamshidi, Pouya, Kristyn Galbraith, Matthew Mccord, et al. "PATH-44. VARIANT ALLELIC FREQUENCY OF DRIVER MUTATIONS PREDICTS SUCCESS OF GENOMIC METHYLATION CLASSIFICATION IN CNS TUMORS." Neuro-Oncology 24, Supplement_7 (2022): vii160. http://dx.doi.org/10.1093/neuonc/noac209.617.

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Abstract Whole genome CpG DNA methylation profiling is an extremely valuable tool in the workup of central nervous system (CNS) tumors. Reliability of such profiling depends on sufficient tumor cellularity. Many neoplastic entities have well-known driver mutations that occur in virtually 100% of tumor cells, and next-generation sequencing (NGS) assays can detect those mutations and report their relative amounts in the form of Variant Allelic Frequency (VAF). Since NGS and methylation profiling are often done on the same tumor block, we sought to determine whether driver mutation VAF affects th
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Zuo, Tao, Benjamin Tycko, Ta-Ming Liu, Huey-Jen L. Lin, and Tim H.-M. Huang. "Methods in DNA methylation profiling." Epigenomics 1, no. 2 (2009): 331–45. http://dx.doi.org/10.2217/epi.09.31.

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Fang Lim, Shuang, Alena Karpusenko, John J. Sakon, Joseph A. Hook, Tyra A. Lamar, and Robert Riehn. "DNA methylation profiling in nanochannels." Biomicrofluidics 5, no. 3 (2011): 034106. http://dx.doi.org/10.1063/1.3613671.

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Chim, C. S., Y. L. Kwong, T. K. Fung, and R. Liang. "Methylation profiling in multiple myeloma." Leukemia Research 28, no. 4 (2004): 379–85. http://dx.doi.org/10.1016/j.leukres.2003.08.008.

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Bibikova, Marina, and Jian‐Bing Fan. "Genome‐wide DNA methylation profiling." Wiley Interdisciplinary Reviews: Systems Biology and Medicine 2, no. 2 (2010): 210–23. http://dx.doi.org/10.1002/wsbm.35.

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Rondinone, Ornella, Alessio Murgia, Jole Costanza, et al. "Extensive Placental Methylation Profiling in Normal Pregnancies." International Journal of Molecular Sciences 22, no. 4 (2021): 2136. http://dx.doi.org/10.3390/ijms22042136.

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The placental methylation pattern is crucial for the regulation of genes involved in trophoblast invasion and placental development, both key events for fetal growth. We investigated LINE-1 methylation and methylome profiling using a methylation EPIC array and the targeted methylation sequencing of 154 normal, full-term pregnancies, stratified by birth weight percentiles. LINE-1 methylation showed evidence of a more pronounced hypomethylation in small neonates compared with normal and large for gestational age. Genome-wide methylation, performed in two subsets of pregnancies, showed very simil
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Inoue, Yohei, Otani Yoshihiro, Joji Ishida, et al. "10150- MPC-14 THE COMPARISON BETWEEN HISTOLOGICAL DIAGNOSIS, GENOME-WIDE DNA METHYLATION PROFILING AND INTEGRATED DIAGNOSIS FOR PEDIATRIC LOW-GRADE GLIOMA." Neuro-Oncology Advances 6, Supplement_4 (2024): iv14—iv15. http://dx.doi.org/10.1093/noajnl/vdae173.055.

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Abstract INTRODUCTION Genome-wide DNA methylation profiling is performed for pediatric low-grade glioma (pLGG) with diagnostic challenge. We compared histological diagnosis, DNA methylation profiling and integrated diagnosis for pLGG. METHODS We analyzed histology, molecular findings, DNA methylation profiling and integrated diagnosis of pLGG that were registered to the central diagnosis of Japan Children’s Cancer Group from March 2018 to June 2024 and underwent genome-wide DNA methylation profiling. RESULTS Fifty-eight cases were enrolled. Thirty-seven cases (64%) had calibrated scores of 0.8
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Dissertations / Theses on the topic "NA methylation profiling"

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Mirbahai, Leda. "DNA methylation profiling of fish tumours." Thesis, University of Birmingham, 2012. http://etheses.bham.ac.uk//id/eprint/3633/.

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Assessment of disease status in fish is used as an indicator of the biological effects of contaminants in the marine environment. At some UK offshore sites the prevalence of liver tumours in Limanda limanda (dab) exceeds 20%. However, the molecular mechanisms of tumour formation and the causative agents are not known. The contribution of epigenetic mechanisms, although well-established in human tumourigenesis, is under-studied in tumours of aquatic species. In this thesis, alteration in the DNA methylation patterns in tumours of two fish species, the model species zebrafish (Danio rerio) and t
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Taplin, Christopher David. "Epigenetic profiling of bronchial epithelial cells : DNA methylation." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/23483.

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Epigenetic regulation of gene expression is critical for normal human development and cellular differentiation. Although each somatic cell in the human body is genetically identical, epigenetic marks including the DNA methylation pattern are tissue-specific and critical for determining the vast array of cellular phenotypes. For studying respiratory disease, the airway epithelium is the ideal target tissue since it is the first point of contact for inhaled particles, viruses and airborne allergens. Cultured airway epithelial cells of asthmatic children show striking phenotypic differences compa
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Dai, Wei. "Biostatistical analysis of DNA methylation profiling in ovarian cancer." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/7065.

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Ovarian cancer is the most lethal gynaecological cancer. Although having good response to chemotherapy, the majority of the patients with advanced disease will eventually relapse. Aberrant DNA methylation in tumours has been proposed as biomarkers to predict patients’ clinical outcome and response to chemotherapy. An algorithm, Methylation Linear Discriminant Analysis (MLDA), was developed for large-scale methylation analysis using differential methylation hybridsation (DMH). MLDA identified loci differentially methylated between cisplatin sensitive and resistant derivatives of an ovarian tumo
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Bhoi, Sujata. "Prognostic markers and DNA methylation profiling in lymphoid malignancies." Doctoral thesis, Uppsala universitet, Experimentell och klinisk onkologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-328616.

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In recent years, great progress has been achieved towards identifying novel biomarkers in lymphoid malignancies, including chronic lymphocytic leukemia (CLL) and mantle cell lymphoma (MCL), at the genomic, transcriptomic and epigenomic level for accurate risk-stratification and prediction of treatment response. In paper I, we validated the prognostic relevance of a recently proposed RNA-based marker in CLL, UGT2B17, and analyzed its expression levels in 253 early-stage patients. Besides confirming its prognostic impact in multivariate analysis, we could identify 30% of IGHV-mutated CLL (M-CLL)
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Walker, Caroline Gwendolyn. "Genome-wide transcriptional and DNA methylation profiling of the bovine endometrium." Thesis, University of Auckland, 2012. http://hdl.handle.net/2292/19432.

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The aim of this research was to identify key molecular mechanisms regulating early pregnancy events in dairy cattle. Genome-wide gene expression and DNA methylation profiles were characterised in the endometrium of fertile and sub-fertile dairy cows at day 17 of pregnancy and the oestrous cycle. Gene expression data in combination with QTL data was then used to identify candidate genes for genetic analysis. The results of this study identified several biological processes likely to be important contributors to pregnancy success. In particular, genes classified as having roles in immune r
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Rahmatpanah, Farahnaz B. Caldwell Charles W. "Large scale CpG island methylation profiling of small B cell lymphoma." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/6863.

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The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from PDF of title page (University of Missouri--Columbia, viewed on April 1, 2010). Vita. Thesis advisor: Charles W. Caldwell. "May 2008" Includes bibliographical references
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Najgebauer, H. "Genome-wide DNA methylation and gene expression profiling of cancer-associated myofibroblasts." Thesis, University of Liverpool, 2016. http://livrepository.liverpool.ac.uk/3001706/.

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In recent years it has become increasingly apparent that tumour development and metastasis are not simply driven by mutations within cancer cells. Factors produced by stromal myofibroblasts play a key role in the development and metastasis of many forms of cancer. However, our knowledge of the range of molecular mechanisms that drive paracrine communication between cancer and stromal cells remains incomplete. Evidence from previous studies show that myofibroblasts derived from gastric tumours (CAMs) not only retain their ability to enhance the proliferation and migration of cancer cells in vit
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Day, Samantha E., Richard L. Coletta, Joon Young Kim, et al. "Next-generation sequencing methylation profiling of subjects with obesity identifies novel gene changes." BioMed Central, 2016. http://hdl.handle.net/10150/618693.

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Background: Obesity is a metabolic disease caused by environmental and genetic factors. However, the epigenetic mechanisms of obesity are incompletely understood. The aim of our study was to investigate the role of skeletal muscle DNA methylation in combination with transcriptomic changes in obesity. Results: Muscle biopsies were obtained basally from lean (n = 12; BMI = 23.4 +/- 0.7 kg/m(2)) and obese (n = 10; BMI = 32.9 +/- 0.7 kg/m(2)) participants in combination with euglycemic-hyperinsulinemic clamps to assess insulin sensitivity. We performed reduced representation bisulfite sequencing (
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Gerring, Zachary F. "Integrating genome-wide association and blood genomic profiling data to characterise migraine risk loci." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/112796/1/Zachary_Gerring_Thesis.pdf.

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This thesis involved a multi-staged integrated study of gene expression, DNA methylation, and DNA sequence variation data in a large sample of migraine cases and non-migraine controls. The analysis and integration of these data identified molecular perturbations associated with migraine, and prioritised migraine susceptibility genes for further functional characterisation. The use of multiple molecular data to study existing migraine loci has the potential to provide a substantial contribution to understanding the underlying genetic architecture and biological mechanisms of migraine, and may h
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Cahill, Nicola. "Molecular Genetic and DNA Methylation Profiling of Chronic Lymphocytic Leukaemia : A Focus on Divergent Prognostic Subgroups and Subsets." Doctoral thesis, Uppsala universitet, Institutionen för immunologi, genetik och patologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-168945.

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Advancements in prognostication have improved the subdivision of chronic lymphocytic leukaemia (CLL) into diverse prognostic subgroups. In CLL, IGHV unmutated and IGHV3-21 genes are associated with a poor-prognosis, conversely, IGHV mutated genes with a favourable outcome. The finding of multiple CLL subsets expressing ‘stereotyped’ B-cell receptors (BCRs) has suggested a role for antigen(s) in leukemogenesis. Patients belonging to certain stereotyped subsets share clinical and biological characteristics, yet limited knowledge exists regarding the genetic and epigenetic events that may influen
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Books on the topic "NA methylation profiling"

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Erturk, Ece. Photochemical and Enzymatic Method for DNA Methylation Profiling and Walking Approach for Increasing Read Length of DNA Sequencing by Synthesis. [publisher not identified], 2018.

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Ball, Madeleine Price. Sequencing-based high-throughput profiling of DNA methylation. 2010.

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Book chapters on the topic "NA methylation profiling"

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Hsu, Yaw-Wen, Rui-Lan Huang, and Hung-Cheng Lai. "MeDIP-on-Chip for Methylation Profiling." In Methods in Molecular Biology. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-2013-6_21.

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Ammerpohl, Ole, Andrea Haake, Julia Kolarova, and Reiner Siebert. "Quantitative DNA Methylation Profiling in Cancer." In Methods in Molecular Biology. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3204-7_5.

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Bibikova, Marina, and Jian-Bing Fan. "GoldenGate® Assay for DNA Methylation Profiling." In Methods in Molecular Biology. Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-522-0_12.

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Abed, Mona, Dorit Kenyagin-Karsenti, Olga Boico, and Amir Orian. "DamID: A Methylation-Based Chromatin Profiling Approach." In Chromatin Immunoprecipitation Assays. Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60327-414-2_11.

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Schumacher, Axel, Andreas Weinhäusl, and Arturas Petronis. "Application of Microarrays for DNA Methylation Profiling." In Methods in Molecular Biology. Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-188-8_8.

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Sibbritt, Tennille, Andrew Shafik, Susan J. Clark, and Thomas Preiss. "Nucleotide-Level Profiling of m5C RNA Methylation." In Methods in Molecular Biology. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3067-8_16.

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Begtrup, Amber Hogart. "DNA Methylation Profiling of Hematopoietic Stem Cells." In Methods in Molecular Biology. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1133-2_9.

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Petropoulos, Sophie, David Cheishvili, and Moshe Szyf. "High-Throughput Techniques for DNA Methylation Profiling." In Methods in Pharmacology and Toxicology. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6743-8_1.

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de la Rica, Lorenzo, Jatinder S. Stanley, and Miguel R. Branco. "Profiling DNA Methylation and Hydroxymethylation at Retrotransposable Elements." In Methods in Molecular Biology. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3372-3_24.

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Chen, Yun-Ru, Sheng Yu, and Silin Zhong. "Profiling DNA Methylation Using Bisulfite Sequencing (BS-Seq)." In Methods in Molecular Biology. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7318-7_2.

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Conference papers on the topic "NA methylation profiling"

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Chelbi, Sonia T., Lorena Losi, Sara Saponaro, Patricia Martin, Richard Braunschweig, and Jean Benhattar. "Abstract 4254: DNA methylation profiling of ovarian tumors by methylation ligation-dependant macroarray." In Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1538-7445.am2013-4254.

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Song, Min-Ae, Maarit Tiirikainen, Gordon Okimoto, et al. "Abstract 4998: Genome-wide methylation profiling in hepatocellular carcinoma." In Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL. American Association for Cancer Research, 2012. http://dx.doi.org/10.1158/1538-7445.am2012-4998.

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Nishimura, Takafumi, and Naoshi Nishida. "Abstract 5002: Comprehensive DNA methylation profiling of human hepatocellular carcinoma." In Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL. American Association for Cancer Research, 2012. http://dx.doi.org/10.1158/1538-7445.am2012-5002.

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Liu, Qinwen, Rita Shaknovich, Xiaoji Chen, et al. "Abstract 139: cfDNA methylation profiling distinguishes lineage-specific hematologic malignancies." In Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-139.

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Pareja, Fresia, Lorenzo Ferrando, Edaise M. da Silva, et al. "Abstract P4-05-11: Methylation profiling of mucinous breast cancer." In Abstracts: 2019 San Antonio Breast Cancer Symposium; December 10-14, 2019; San Antonio, Texas. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.sabcs19-p4-05-11.

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Chakraborty, Arup Ratan, Erica Hlavin Bell, Simon Kriste, et al. "Abstract 2781: Novel putative diagnostic methylation biomarkers for prostate cancer identified by whole genome DNA methylation profiling." In Proceedings: AACR 107th Annual Meeting 2016; April 16-20, 2016; New Orleans, LA. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/1538-7445.am2016-2781.

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Cadieux, E. Larose, G. Wilson, M. Tanic, et al. "PO-342 Integrating copy number analysis and tumour DNA methylation profiling." In Abstracts of the 25th Biennial Congress of the European Association for Cancer Research, Amsterdam, The Netherlands, 30 June – 3 July 2018. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/esmoopen-2018-eacr25.854.

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Donkena, Krishna Vanaja, Eric W. Klee, Charles Y. F. Young, George G. Klee, Donald J. Tindall, and Michael L. Blute. "Abstract 109: DNA methylation profiling associated with recurrence of prostate cancer." In Proceedings: AACR 102nd Annual Meeting 2011‐‐ Apr 2‐6, 2011; Orlando, FL. American Association for Cancer Research, 2011. http://dx.doi.org/10.1158/1538-7445.am2011-109.

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Kannan, Kasthuri S., Aristotelis Tsirigos, Jonathan Serrano, et al. "Abstract 11: Advancing methylation profiling in neuropathology: Diagnosis and clinical management." In Abstracts: AACR Precision Medicine Series: Integrating Clinical Genomics and Cancer Therapy; June 13-16, 2015; Salt Lake City, UT. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/1557-3265.pmsclingen15-11.

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Witzel, M., A. Risch, M. Auburger, et al. "Whole Genome Methylation Profiling to Enhance Diagnostic Yield in Neurodevelopmental Disorders." In NEP 49th Annual Meeting of the Society for Neuropediatrics 2024. Georg Thieme Verlag KG, 2024. http://dx.doi.org/10.1055/s-0044-1791932.

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