Literature DB >> 20145141

General transcription factor binding at CpG islands in normal cells correlates with resistance to de novo DNA methylation in cancer cells.

Claudia Gebhard1, Chris Benner, Mathias Ehrich, Lucia Schwarzfischer, Elmar Schilling, Maja Klug, Wolfgang Dietmaier, Christian Thiede, Ernst Holler, Reinhard Andreesen, Michael Rehli.   

Abstract

Aberrant DNA methylation at CpG islands is thought to contribute to cancer initiation and progression, but mechanisms that establish and maintain DNA methylation status during tumorigenesis or normal development remain poorly understood. In this study, we used methyl-CpG immunoprecipitation to generate comparative DNA methylation profiles of healthy and malignant cells (acute leukemia and colorectal carcinoma) for human CpG islands across the genome. While searching for sequence patterns that characterize DNA methylation states, we discovered several nonredundant sequences in CpG islands that were resistant to aberrant de novo methylation in cancer and that resembled consensus binding sites for general transcription factors (TF). Comparing methylation profiles with global CpG island binding data for specific protein 1, nuclear respiratory factor 1, and yin-yang 1 revealed that their DNA binding activity in normal blood cells correlated strictly with an absence of de novo methylation in cancer. In addition, global evidence showed that binding of any of these TFs to their consensus motif depended on their co-occurrence with neighboring consensus motifs. In summary, our results had two major implications. First, they pointed to a major role for cooperative binding of TFs in maintaining the unmethylated status of CpG islands in health and disease. Second, our results suggest that the majority of de novo methylated CpG islands are characterized by the lack of sequence motif combinations and the absence of activating TF binding.

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Year:  2010        PMID: 20145141     DOI: 10.1158/0008-5472.CAN-09-3406

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  63 in total

Review 1.  Identification of driver and passenger DNA methylation in cancer by epigenomic analysis.

Authors:  Satish Kalari; Gerd P Pfeifer
Journal:  Adv Genet       Date:  2010       Impact factor: 1.944

2.  Identification of genetic elements that autonomously determine DNA methylation states.

Authors:  Florian Lienert; Christiane Wirbelauer; Indrani Som; Ann Dean; Fabio Mohn; Dirk Schübeler
Journal:  Nat Genet       Date:  2011-10-02       Impact factor: 38.330

Review 3.  Allele-specific DNA methylation: beyond imprinting.

Authors:  Benjamin Tycko
Journal:  Hum Mol Genet       Date:  2010-09-20       Impact factor: 6.150

4.  Sensitive quantitative analysis of murine LINE1 DNA methylation using high resolution melt analysis.

Authors:  Michelle Newman; Benjamin J Blyth; Damian J Hussey; Daniel Jardine; Pamela J Sykes; Rebecca J Ormsby
Journal:  Epigenetics       Date:  2012-01-01       Impact factor: 4.528

5.  Mutant p53 is a transcriptional co-factor that binds to G-rich regulatory regions of active genes and generates transcriptional plasticity.

Authors:  Timo Quante; Benjamin Otto; Marie Brázdová; Iva Kejnovská; Wolfgang Deppert; Genrich V Tolstonog
Journal:  Cell Cycle       Date:  2012-08-21       Impact factor: 4.534

Review 6.  CpG islands and the regulation of transcription.

Authors:  Aimée M Deaton; Adrian Bird
Journal:  Genes Dev       Date:  2011-05-15       Impact factor: 11.361

7.  Modulation of transcription factor binding and epigenetic regulation of the MLH1 CpG island and shore by polymorphism rs1800734 in colorectal cancer.

Authors:  Andrea J Savio; Bharati Bapat
Journal:  Epigenetics       Date:  2017-03-17       Impact factor: 4.528

8.  Deep sequencing reveals distinct patterns of DNA methylation in prostate cancer.

Authors:  Jung H Kim; Saravana M Dhanasekaran; John R Prensner; Xuhong Cao; Daniel Robinson; Shanker Kalyana-Sundaram; Christina Huang; Sunita Shankar; Xiaojun Jing; Matthew Iyer; Ming Hu; Lee Sam; Catherine Grasso; Christopher A Maher; Nallasivam Palanisamy; Rohit Mehra; Hal D Kominsky; Javed Siddiqui; Jindan Yu; Zhaohui S Qin; Arul M Chinnaiyan
Journal:  Genome Res       Date:  2011-07       Impact factor: 9.043

9.  An integrated approach to identify causal network modules of complex diseases with application to colorectal cancer.

Authors:  Zhenshu Wen; Zhi-Ping Liu; Zhengrong Liu; Yan Zhang; Luonan Chen
Journal:  J Am Med Inform Assoc       Date:  2012-09-11       Impact factor: 4.497

10.  Genome-wide conserved consensus transcription factor binding motifs are hyper-methylated.

Authors:  Mun-Kit Choy; Mehregan Movassagh; Hock-Guan Goh; Martin R Bennett; Thomas A Down; Roger S Y Foo
Journal:  BMC Genomics       Date:  2010-09-27       Impact factor: 3.969

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