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Genome-Wide DNA Methylation Assays Nadia Khan, Rick Smith, and Anna Kuperman Epigenetics 2012

Genome-Wide DNA Methylation Assays

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Genome-Wide DNA Methylation Assays. Nadia Khan, Rick Smith, and Anna Kuperman Epigenetics 2012. Introduction. Most Genome Wide Approaches were adapted from technologies originally developed for detecting methylation at the level of a single gene Advantages of a Genome Wide Approach - PowerPoint PPT Presentation

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Page 1: Genome-Wide DNA Methylation Assays

Genome-Wide DNA Methylation Assays

Nadia Khan, Rick Smith, and Anna KupermanEpigenetics 2012

Page 2: Genome-Wide DNA Methylation Assays

Introduction• Most Genome Wide Approaches

were adapted from technologies originally developed for detecting methylation at the level of a single gene

• Advantages of a Genome Wide Approach– Scale of information

• Whole chromosome• Whole genome

– Wider regulatory networks– Facilitates comparative and

population level analysis

Tollefsbol 2009

Page 3: Genome-Wide DNA Methylation Assays

Many methylation methods can be grouped into major categories based upon their general principles

Page 4: Genome-Wide DNA Methylation Assays

Concept of Methylation Sensitive Endonuclease Assays

• Use a restriction enzyme(s) that is methylation specific and separate the unmethylated from the methylated

• Unmethylated regions enzyme-sensitive Methylated regions enzyme-resistant

• Identify multiple de novo methylated areas across genomes vs. one specific area– 2D gel and scintillation counting– Array

Laird 2010

Page 5: Genome-Wide DNA Methylation Assays

Restriction Landmark Genomic Scanning (RLGS)

• Cleave genome into pieces based upon restriction landmarks (sites)

• Radioactively label cleaved ends• Separate using 1D and 2D gel electrophoresis• Quantitate signal by amount of fluoresence in

gel– Intensity = copy number of the restriction site

Tollefsbol 2009

Page 6: Genome-Wide DNA Methylation Assays

• NotI:• Radioactively

labels ends• LEAST specific

• EcoRV: • MORE specific

• HinfI:• MOST specific

Eng et al. 2000

Page 7: Genome-Wide DNA Methylation Assays

RLGS in-use

Takamiya, et al. 2009

Page 8: Genome-Wide DNA Methylation Assays

Microarray Coupling of Methylated CpG Island Amplification (MCAM)

• Cleave genomic DNA with SmaI (methylation-sensitive)

• Cut received pieces again with XmaI; create sticky ends

• Amplify pieces using PCR• Hybridize onto a microarray• Analyze fluorescence reads and identify

corresponding genomic address

Tollefsbol 2009

Page 9: Genome-Wide DNA Methylation Assays

Tollefsbol 2009

Page 10: Genome-Wide DNA Methylation Assays

MCA

M in

-use

Estecio 2007

Page 11: Genome-Wide DNA Methylation Assays
Page 12: Genome-Wide DNA Methylation Assays

Sodium Bisulfite Methods

• Bisulfite Sequencing• Targeted and Whole Genome approaches• Bisulfite Libraries

Page 13: Genome-Wide DNA Methylation Assays

Bisulfite sequencing

• m-C are resistant to bisulfite conversion• Compare with unconverted reference sequence to infer methylation pattern• Allows for single base resolution, but technically challenging genome wide

Tollefsbol 2011

Page 14: Genome-Wide DNA Methylation Assays

Whole Genome Approach

• Pair Bisulfite Conversion with Next Generation Sequencing (NGS)– Massively parallel sequencing• Roche 454, Illumina, SOLiD platforms• Quick, relatively cheap, large scale analysis

Tollefsbol 2011

Page 15: Genome-Wide DNA Methylation Assays

Pyrosequencing

Page 16: Genome-Wide DNA Methylation Assays

Whole Genome Approach• Pair Bisulfite Conversion with Next Generation Sequencing (NGS)

– Massively parallel sequencing• Roche 454, Illumina, SOLiD platforms• Quick, relatively cheap, large scale analysis

• Tenable for relatively small genomes– Arabidopsis thaliana

• Significant challenges for mammalian genomes– Reduced complexity of the genome– Short sequence reads– Solutions

• Longer sequence reads• Targeted approaches

Cokus et al. 2008; Tollefsbol 2011

Page 17: Genome-Wide DNA Methylation Assays

Targeted Bisulfite Sequencing

• Reduced Representation Bisulfite Sequencing (RRBS)

• Molecular Inversion Probes (MIP)– Padlock Probes

Page 18: Genome-Wide DNA Methylation Assays

Targeted Bisulfite Sequencing

• Reduced Representation Methylation Sequencing (RRMS) – Enrichment for CG-rich regions via Msp1 digestion

(5‘-CCGG-3‘)– NGS– Disadvantages: mostly un-methylated DNA

Meissner 2005; Jeddeloh 2008

Page 19: Genome-Wide DNA Methylation Assays

Targeted Bisulfite Sequencing

Deng et al. 2009

Padlock Probes

Page 20: Genome-Wide DNA Methylation Assays

Bisulfite Libraries• Applications and Advantages• Coverage of relevant genome regions • Facilitates large comparative study• Multiplex Sequencing• High sensitivity• Whole library amplification

• Pair with NGS or Array

Gu et al. 2011

Page 21: Genome-Wide DNA Methylation Assays
Page 22: Genome-Wide DNA Methylation Assays

Biological Affinity Based Methods• Basic Concept: Use antibodies that are specific

for 5meC or proteins that bind preferably to methylated genomic DNA to profile DNA methylation patterns. These patterns are detected through microarrays or parallel high through-put sequencing.

• Types– MBD affinity column (MAC)– Methylated DNA Immunoprecipitation (MeDIP)– Methylated-CpG island recovery assay

Laird 2010

Page 23: Genome-Wide DNA Methylation Assays

MBD Affinity Column (MAC)• Uses MeCP2, a member of a family of proteins that contain methyl-CpG

binding domains. • Developed by Cross et al in 1994. This is the first time affinity enrichment

was used to look at genome-wide methylation

Figure 9.8 Tollefsbol 2009

Methylated CpG

Unmethylated CpG

Page 24: Genome-Wide DNA Methylation Assays

MBD Affinity Column (MAC)

• Advantages: this method is fast and efficient.• Limitations: Needs a large amount of starting

genomic DNA to pass through column purification

Figure 9.8 Tollefsbol 2009

Page 25: Genome-Wide DNA Methylation Assays

Methylated DNA Immunoprecipitation (MeDIP)

• Introduced in 2005 by Weber et al• Uses an antibody that specifically binds to methylated

cytosines.• Fragmented DNA is incubated with the antibodies,

immunoprecipitated, and then enrichment is quantified.• Advantages: Efficient, sensitive, large-scale analysis of

genomic methylation• Limitations: need good quality 5meC antibodies and

denatured ssDNA, which can be difficult to obtain in CpG rich genes, is required for analysis

Figure 9.8 Tollefsbol 2009

Page 26: Genome-Wide DNA Methylation Assays

Methylated DNA Immunoprecipitation (MeDIP)

Methylated CpG

Unmethylated CpG

Figure 9.7 Tollefsbol 2009

Page 27: Genome-Wide DNA Methylation Assays

MeDIP• How can it be used?– Identifying genes involved

in cancer development• Ex: Morris et al were able to

shortlist genes involved in renal cell carcinoma (RCC) suppression by looking at promoter regions that were frequently methylated in RCC lines, but not in normal kidney cell lines.

Morris et al. 2011

Page 28: Genome-Wide DNA Methylation Assays

Methylated-CpG Island Recovery Assay (MIRA)

• MBD2b/MBD3L1 complex has a high affinity to methylated DNA (higher than MBD2b on it’s own; MBD3L1 has no affinity)

• MIRA developed in 2006 by Rauch et al to have a better screen for methylation patterns in lung cancer tumors so can have a better early detection

• Advantages: Can be used to examine large number of genes simultaneously, works on dsDNA, only need a few hundred nanograms of genomic DNA

Figure 9.7 Tollefsbol 2009

Page 29: Genome-Wide DNA Methylation Assays

Methylated-CpG Island Recovery Assay (MIRA)

Figure 9.9 Tollefsbol 2009From activemotif.com

Page 30: Genome-Wide DNA Methylation Assays

MIRA• Rauch et al (2006)

were able to identify lung tumor suppressor genes

• Rauch et al (2009) were able to use MIRA to characterize a human B-cell methylome at 100 bp resolution

Rauch 2006

Page 31: Genome-Wide DNA Methylation Assays

• A lot of these assays are commercially available• MeDIP– MagMeDIP Kit TM (Diagenode), – Methylated-DNA IP Kit (Zymo Research) and

Methylamp™ – Methylated DNA Capture Kit (Epigentek)

• MIRA– Ex: MethylCollector TM Ultra

Page 32: Genome-Wide DNA Methylation Assays

Biological Affinity Assays

• Why are they good? – Quick and efficient genome-wide assessment of

DNA methylation• Disadvantages: – Do not give information on individual CpG

dinucleotides– Require experimental or bioniformatic adjustment

for changing CpG density at different regions of genome

Laird 2010

Page 33: Genome-Wide DNA Methylation Assays

Complications with 5-hydroxymethylcytosine

• 5-hydroxymethylcytosine has been discovered in mammalian DNA, and is produced by an enzymatic pathway involving TET1 hydroxylase.

• All 3 methods discussed are unable to distinguish between 5mC and 5hmC.

• However, one can distinguish 5-hmc by adding a glucose to the hydroxy-group (EpiMark Kit)

Tollefsbol 2009

Page 34: Genome-Wide DNA Methylation Assays

The Future of Genome-Wide Methylation Assays

• As more data is experimentally collected about the methylome, there will be more and more need for analysis. Bioinformatics is beginning to play a big role.

• Increasing role of sequencing as opposed to arrays.

• Nanopore sequencing could directly allow sequencing of 5meC

Page 35: Genome-Wide DNA Methylation Assays

ReferencesCross SH et al. 1994. Purification of CpG islands using a methylated DNA binding column. Nat. Genet. 6(3):236-44.Deng J et al. 2009. Targeted bisulfite sequencing reveals changes in DNA methylation associated with nuclear reprogramming. Nat

Biotechnol. 27(4):341-2.Estecio MRH et al. 2007. High-throughput Methylation Profiling by MCA Coupled to CpG Island Microarray. Genome Research 17(10):

1529-536.Gu H et al. 2011. Preparation of reduced representation bisulfite sequencing libraries for genome-scale DNA methylation profiling.

Nature Protocols 6:468–481.Jeddeloh JA et al. 2008. Reduced-representation methylation mapping. Genome Biology 9:231.Laird PW. 2012. Principles and Challenges of Genome-wide DNA Methylation Analysis. Nature Reviews Genetics 11:191-203.Meissner A et al. 2005. Reduced representation bisulfite sequencing for comparative high-resolution DNA methylation analysis. Nuc.

Acids Res. 33(18):5868-5877.Morris MR et al. 2011. 6.Genome-wide methylation analysis identifies epigenetically inactivated candidate tumour suppressor genes in

renal cell carcinoma. Oncogene 30(12):1390-401.Rauch TA and Pfeifer GP. 2009. Chapter 9: Methods for Assessing Genome Wide DNA methylation. In: Handbook of Epigenetics : The

New Molecular and Medical Genetics. ed. Tollefsbol T. Academic Press.Rauch TA et al. 2006. MIRA-assisted microarray analysis, a new technology for the determination of DNA methylation

patterns, identifies frequent methylation of homeodomain-containing genes in lung cancer cells. Cancer Res. 66(16)7939-47.Rauch TA et al. 2009. A human B cell methylome at 100 base pair resolution. Proc. Natl. Acad. Sci. 106(3):671-8.Takamiya et al. 2009. The Application of Restriction Landmark Genome Scanning Method for Surveillance of Non-Mendelian Inheritance

in F1 Hybrids. Comparative and Functional Genomics 2009: 1-7.Tost J. 2009. Epigenetics. Caister Academic Press.Weber M et al. 2005. Chromosome-wide and promoter-specific analyses identify sites of differential DNA methylation in normal and

transformed human cells. Nat Genet. 37(8):853-62.