Literature DB >> 17095538

Quantitative high-resolution CpG island mapping with Pyrosequencing reveals disease-specific methylation patterns of the CDKN2B gene in myelodysplastic syndrome and myeloid leukemia.

Kai Brakensiek1, Luzie U Wingen, Florian Länger, Hans Kreipe, Ulrich Lehmann.   

Abstract

BACKGROUND: Gene silencing through aberrant CpG island methylation is the most extensively analyzed epigenetic event in human tumorigenesis and has huge diagnostic and prognostic potential. Methylation patterns are often very heterogeneous, however, presenting a serious challenge for the development of methylation assays for diagnostic purposes.
METHODS: We used Pyrosequencing technology to determine the methylation status of 68 CpG sites in the CpG island of the CDKN2B gene [cyclin-dependent kinase inhibitor 2B (p15, inhibits CDK4)], frequently hypermethylated in myeloid malignancies, in a series of bone marrow samples from patients with myelodysplasia and myeloid leukemia (n = 82) and from 32 controls. A total of 7762 individual methylation sites were quantitatively evaluated. Precision and reproducibility of the quantification was evaluated with several overlapping primers.
RESULTS: The use of optimized sequencing primers and the new Pyro Q-CpG software enabled precise and reproducible quantification with a single sequencing primer of up to 15 CpG sites distributed over approximately 100 bp. Extensive statistical analyses of the whole CpG island revealed for the first time disease-specific methylation patterns of the CDKN2B gene in myeloid malignancies and small regions of differential methylation with high discriminatory power that enabled differentiation of even low-grade myelodysplastic syndrome samples from the controls, a result that was confirmed in an independent group of 9 control and 36 patient samples.
CONCLUSION: The precise quantitative methylation mapping of whole CpG islands is now possible with Pyrosequencing software in combination with optimized sequencing primers. This method reveals disease-specific methylation patterns and enables the development of specific diagnostic assays.

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Year:  2006        PMID: 17095538     DOI: 10.1373/clinchem.2007.072629

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  30 in total

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Authors:  Dana van Bemmel; Petra Lenz; Linda M Liao; Dalsu Baris; Lawrence R Sternberg; Andrew Warner; Alison Johnson; Michael Jones; Masatoshi Kida; Molly Schwenn; Alan R Schned; Debra T Silverman; Nathaniel Rothman; Lee E Moore
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-04-26       Impact factor: 4.254

2.  LINE1 methylation levels associated with increased bladder cancer risk in pre-diagnostic blood DNA among US (PLCO) and European (ATBC) cohort study participants.

Authors:  Gabriella Andreotti; Sara Karami; Ruth M Pfeiffer; Lauren Hurwitz; Linda M Liao; Stephanie J Weinstein; Demetrius Albanes; Jarmo Virtamo; Debra T Silverman; Nathaniel Rothman; Lee E Moore
Journal:  Epigenetics       Date:  2013-12-06       Impact factor: 4.528

3.  LINE1 methylation levels in pre-diagnostic leukocyte DNA and future renal cell carcinoma risk.

Authors:  Sara Karami; Gabriella Andreotti; Linda M Liao; Ruth M Pfeiffer; Stephanie J Weinstein; Mark P Purdue; Jonathan N Hofmann; Demetrius Albanes; Satu Mannisto; Lee E Moore
Journal:  Epigenetics       Date:  2015-02-03       Impact factor: 4.528

4.  Association between AXL promoter methylation and lung function growth during adolescence.

Authors:  Lu Gao; Robert Urman; Joshua Millstein; Kimberly D Siegmund; Louis Dubeau; Carrie V Breton
Journal:  Epigenetics       Date:  2018-10-19       Impact factor: 4.528

5.  Generation of Induced Pluripotent Stem Cells from Diabetic Foot Ulcer Fibroblasts Using a Nonintegrative Sendai Virus.

Authors:  Behzad Gerami-Naini; Avi Smith; Anna G Maione; Olga Kashpur; Gianpaolo Carpinito; Aristides Veves; David J Mooney; Jonathan A Garlick
Journal:  Cell Reprogram       Date:  2016-06-21       Impact factor: 1.987

6.  Folate regulation of axonal regeneration in the rodent central nervous system through DNA methylation.

Authors:  Bermans J Iskandar; Elias Rizk; Brenton Meier; Nithya Hariharan; Teodoro Bottiglieri; Richard H Finnell; David F Jarrard; Ruma V Banerjee; J H Pate Skene; Aaron Nelson; Nirav Patel; Carmen Gherasim; Kathleen Simon; Thomas D Cook; Kirk J Hogan
Journal:  J Clin Invest       Date:  2010-04-26       Impact factor: 14.808

7.  Assessing combined methylation-sensitive high resolution melting and pyrosequencing for the analysis of heterogeneous DNA methylation.

Authors:  Ida L M Candiloro; Thomas Mikeska; Alexander Dobrovic
Journal:  Epigenetics       Date:  2011-04-01       Impact factor: 4.528

8.  DNA methylotype analysis in colorectal cancer.

Authors:  Jinsheng Yu; Robert R Freimuth; Robert Culverhouse; Sharon Marsh; Mark A Watson; Howard L McLeod
Journal:  Oncol Rep       Date:  2008-10       Impact factor: 3.906

9.  IQGAP1 and IQGAP2 are reciprocally altered in hepatocellular carcinoma.

Authors:  Colin D White; Hema Khurana; Dmitri V Gnatenko; Zhigang Li; Robert D Odze; David B Sacks; Valentina A Schmidt
Journal:  BMC Gastroenterol       Date:  2010-10-26       Impact factor: 3.067

10.  The site specific demethylation in the 5'-regulatory area of NMDA receptor 2B subunit gene associated with CIE-induced up-regulation of transcription.

Authors:  Mei Qiang; Ashley Denny; Jiguo Chen; Maharaj K Ticku; Bo Yan; George Henderson
Journal:  PLoS One       Date:  2010-01-20       Impact factor: 3.240

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