Literature DB >> 20434562

Genome-wide DNA methylation analysis of archival formalin-fixed paraffin-embedded tissue using the Illumina Infinium HumanMethylation27 BeadChip.

Christina Thirlwell1, Marianne Eymard, Andrew Feber, Andrew Teschendorff, Kerra Pearce, Matthias Lechner, Martin Widschwendter, Stephan Beck.   

Abstract

Aberrant DNA methylation of promoter and other genomic regions can lead to changes in gene expression, such as over-expression of oncogenes and the silencing of tumour suppressor genes in the context of cancer. Ability to accurately assess the DNA methylation status is therefore of great importance in health and disease. Recently, various platforms for genome-wide analysis of promoter DNA methylation have been developed, including the Illumina Infinium platform. While some of these platforms can be used with formalin-fixed paraffin-embedded (FFPE) tissue, no protocol has yet been developed for the analysis of FFPE-derived DNA on the Infinium platform using the HumanMethylation27 BeadChip which interrogates 27,578 cytosine-guanine (CpG) dinucleotide sites, selected predominantly from the promoter regions of 14,000 annotated genes. As FFPE preservation has been the method of choice for the archiving of clinical samples, the ability to analyse such samples opens the possibility to study large numbers of clinically well annotated samples which can be expected to lead to more powerful and robust data, particularly for rare cancers. Here, we describe a protocol for the analysis of FFPE samples using the Infinium HumanMethylation27 BeadChip.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20434562     DOI: 10.1016/j.ymeth.2010.04.012

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  46 in total

1.  Comparison of clinical targeted next-generation sequence data from formalin-fixed and fresh-frozen tissue specimens.

Authors:  David H Spencer; Jennifer K Sehn; Haley J Abel; Mark A Watson; John D Pfeifer; Eric J Duncavage
Journal:  J Mol Diagn       Date:  2013-06-26       Impact factor: 5.568

2.  Rapid method for growth hormone receptor exon 3 delete (GHRd3) SNP genotyping from archival human placental samples.

Authors:  Rebecca A Pelekanos; Varda S Sardesai; Marloes Dekker Nitert; Leonie K Callaway; Nicholas M Fisk; Penny L Jeffery
Journal:  Endocrine       Date:  2015-06-12       Impact factor: 3.633

3.  Comprehensive Pan-Genomic Characterization of Adrenocortical Carcinoma.

Authors:  Siyuan Zheng; Andrew D Cherniack; Ninad Dewal; Richard A Moffitt; Ludmila Danilova; Bradley A Murray; Antonio M Lerario; Tobias Else; Theo A Knijnenburg; Giovanni Ciriello; Seungchan Kim; Guillaume Assie; Olena Morozova; Rehan Akbani; Juliann Shih; Katherine A Hoadley; Toni K Choueiri; Jens Waldmann; Ozgur Mete; A Gordon Robertson; Hsin-Ta Wu; Benjamin J Raphael; Lina Shao; Matthew Meyerson; Michael J Demeure; Felix Beuschlein; Anthony J Gill; Stan B Sidhu; Madson Q Almeida; Maria C B V Fragoso; Leslie M Cope; Electron Kebebew; Mouhammed A Habra; Timothy G Whitsett; Kimberly J Bussey; William E Rainey; Sylvia L Asa; Jérôme Bertherat; Martin Fassnacht; David A Wheeler; Gary D Hammer; Thomas J Giordano; Roel G W Verhaak
Journal:  Cancer Cell       Date:  2016-05-09       Impact factor: 31.743

4.  Eagles report: Developing cancer biomarkers from genome-wide DNA methylation analyses.

Authors:  Wolfgang A Schulz; Wolfgang Goering
Journal:  World J Clin Oncol       Date:  2011-01-10

5.  Coextraction and PCR Based Analysis of Nucleic Acids From Formalin-Fixed Paraffin-Embedded Specimens.

Authors:  Souvik Ghatak; Zothan Sanga; Jeremy L Pautu; Nachimuthu Senthil Kumar
Journal:  J Clin Lab Anal       Date:  2014-10-02       Impact factor: 2.352

6.  Hypomethylation signature of tumor-initiating cells predicts poor prognosis of ovarian cancer patients.

Authors:  Yu-Ping Liao; Lin-Yu Chen; Rui-Lan Huang; Po-Hsuan Su; Michael W Y Chan; Cheng-Chang Chang; Mu-Hsien Yu; Peng-Hui Wang; Ming-Shyen Yen; Kenneth P Nephew; Hung-Cheng Lai
Journal:  Hum Mol Genet       Date:  2013-11-20       Impact factor: 6.150

7.  Formalin-fixed, paraffin-embedded (FFPE) tissue epigenomics using Infinium HumanMethylation450 BeadChip assays.

Authors:  Tim C de Ruijter; Joep P J de Hoon; Jeroen Slaats; Bart de Vries; Marjolein J F W Janssen; Tom van Wezel; Maureen J B Aarts; Manon van Engeland; Vivianne C G Tjan-Heijnen; Leander Van Neste; Jürgen Veeck
Journal:  Lab Invest       Date:  2015-04-13       Impact factor: 5.662

8.  The tissue is the issue: improved methylome analysis from paraffin-embedded tissues by application of the HOPE technique.

Authors:  Sebastian Marwitz; Julia Kolarova; Martin Reck; Niels Reinmuth; Christian Kugler; Ines Schädlich; Andrea Haake; Peter Zabel; Ekkehard Vollmer; Reiner Siebert; Torsten Goldmann; Ole Ammerpohl
Journal:  Lab Invest       Date:  2014-06-16       Impact factor: 5.662

9.  Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis.

Authors:  Pan Du; Xiao Zhang; Chiang-Ching Huang; Nadereh Jafari; Warren A Kibbe; Lifang Hou; Simon M Lin
Journal:  BMC Bioinformatics       Date:  2010-11-30       Impact factor: 3.169

Review 10.  The fate is not always written in the genes: epigenomics in epidemiologic studies.

Authors:  Scott M Langevin; Karl T Kelsey
Journal:  Environ Mol Mutagen       Date:  2013-02-26       Impact factor: 3.216

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