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Literature DB >> 23359152

DNA methylation analysis in human cancer.

Abstract

The functional impact of aberrant DNA methylation and the widespread alterations in DNA methylation in cancer development have led to the development of a variety of methods to characterize the DNA methylation patterns. This chapter critiques and describes the major approaches to analyzing DNA methylation.

Entities: Chemical Disease Gene Species

Mesh：

Year: 2013 PMID： 23359152 PMCID： PMC3888804 DOI： 10.1007/978-1-62703-287-2_7

Source DB: PubMed Journal: Methods Mol Biol ISSN： 1064-3745

110 in total

1. It is time for a Human Epigenome Project.

Authors: Frank J Rauscher
Journal: Cancer Res Date: 2005-12-15 Impact factor: 12.701

2. Methyl-DNA immunoprecipitation (MeDIP): hunting down the DNA methylome.

Authors: Filipe V Jacinto; Esteban Ballestar; Manel Esteller
Journal: Biotechniques Date: 2008-01 Impact factor: 1.993

Review 3. Genes, epigenetic regulation and environmental factors: which is the most relevant in developing autoimmune diseases?

Authors: Karen H Costenbader; Steffen Gay; Marta E Alarcón-Riquelme; Luca Iaccarino; Andrea Doria
Journal: Autoimmun Rev Date: 2011-10-25 Impact factor: 9.754

Review 4. The necessity of a human epigenome project.

Authors: Manel Esteller
Journal: Carcinogenesis Date: 2006-05-13 Impact factor: 4.944

5. High-throughput methylation profiling by MCA coupled to CpG island microarray.

Authors: Marcos R H Estécio; Pearlly S Yan; Ashraf E K Ibrahim; Carmen S Tellez; Lanlan Shen; Tim H-M Huang; Jean-Pierre J Issa
Journal: Genome Res Date: 2007-09-04 Impact factor: 9.043

6. Global levels of histone modifications predict prognosis in different cancers.

Authors: David B Seligson; Steve Horvath; Matthew A McBrian; Vei Mah; Hong Yu; Sheila Tze; Qun Wang; David Chia; Lee Goodglick; Siavash K Kurdistani
Journal: Am J Pathol Date: 2009-04-06 Impact factor: 4.307

7. Multiplex padlock targeted sequencing reveals human hypermutable CpG variations.

Authors: Jin Billy Li; Yuan Gao; John Aach; Kun Zhang; Gregory V Kryukov; Bin Xie; Annika Ahlford; Jung-Ki Yoon; Abraham M Rosenbaum; Alexander Wait Zaranek; Emily LeProust; Shamil R Sunyaev; George M Church
Journal: Genome Res Date: 2009-06-12 Impact factor: 9.043

8. Oncometabolite 2-hydroxyglutarate is a competitive inhibitor of α-ketoglutarate-dependent dioxygenases.

Authors: Wei Xu; Hui Yang; Ying Liu; Ying Yang; Ping Wang; Se-Hee Kim; Shinsuke Ito; Chen Yang; Pu Wang; Meng-Tao Xiao; Li-xia Liu; Wen-qing Jiang; Jing Liu; Jin-ye Zhang; Bin Wang; Stephen Frye; Yi Zhang; Yan-hui Xu; Qun-ying Lei; Kun-Liang Guan; Shi-min Zhao; Yue Xiong
Journal: Cancer Cell Date: 2011-01-18 Impact factor: 38.585

9. MMASS: an optimized array-based method for assessing CpG island methylation.

Authors: Ashraf E K Ibrahim; Natalie P Thorne; Katie Baird; Nuno L Barbosa-Morais; Simon Tavaré; V Peter Collins; Andrew H Wyllie; Mark J Arends; James D Brenton
Journal: Nucleic Acids Res Date: 2006-10-13 Impact factor: 16.971

10. Genomic profiling of CpG methylation and allelic specificity using quantitative high-throughput mass spectrometry: critical evaluation and improvements.

Authors: Marcel W Coolen; Aaron L Statham; Margaret Gardiner-Garden; Susan J Clark
Journal: Nucleic Acids Res Date: 2007-09-13 Impact factor: 16.971

4 in total