{ "id": "epaqx0a0py", "slug": "methyl-cpg-binding-domain-sequencing", "title": "Methyl-CpG binding domain sequencing", "updated": "2026-10-15", "topic_path": [ { "id": "life", "label": "Life and health", "api_url": "https://www.edgepedia.org/api/v1/topics/life" }, { "id": "life.biology", "label": "Biological foundations", "api_url": "https://www.edgepedia.org/api/v1/topics/life.biology" }, { "id": "life.biology.genetics", "label": "Genetics and genomic reference", "api_url": "https://www.edgepedia.org/api/v1/topics/life.biology.genetics" }, { "id": "life.biology.genetics.genomics_projects_databases", "label": "Genomics, sequencing, and genome resources", "api_url": "https://www.edgepedia.org/api/v1/topics/life.biology.genetics.genomics_projects_databases" }, { "id": "life.biology.genetics.genomics_projects_databases.epigenomic-sequencing-methods", "label": "Epigenomic sequencing methods", "api_url": "https://www.edgepedia.org/api/v1/topics/life.biology.genetics.genomics_projects_databases.epigenomic-sequencing-methods" } ], "geo": [ { "id": "geo.nongeo.t2001.life.biology.genetics.genomics_projects_databases", "label": "Non-geographic · 2001 to 2020: Genomics, sequencing, and genome resources", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t2001.life.biology.genetics.genomics_projects_databases", "path": [ { "id": "geo.nongeo", "label": "Non-geographic", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo" }, { "id": "geo.nongeo.t2001", "label": "Non-geographic · 2001 to 2020", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t2001" }, { "id": "geo.nongeo.t2001.life", "label": "Life and health", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t2001.life" }, { "id": "geo.nongeo.t2001.life.biology", "label": "Biological foundations", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t2001.life.biology" }, { "id": "geo.nongeo.t2001.life.biology.genetics", "label": "Genetics and genomic reference", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t2001.life.biology.genetics" }, { "id": "geo.nongeo.t2001.life.biology.genetics.genomics_projects_databases", "label": "Genomics, sequencing, and genome resources", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t2001.life.biology.genetics.genomics_projects_databases" } ] } ], "excerpt": "Methyl-CpG binding domain sequencing, or MBD-Seq, is an epigenomic sequencing method that captures methylated DNA fragments with MBD2 proteins to map 5-methylcytosine across the genome, favoring CpG-dense regions.", "snippet": "Methyl-CpG binding domain sequencing, or MBD-Seq, is an epigenomic sequencing method that captures methylated DNA fragments with MBD2 proteins to map 5-methylcytosine across the genome, favoring CpG-dense regions.", "node": "life.biology.genetics.genomics_projects_databases.epigenomic-sequencing-methods", "markdown": "# Methyl-CpG binding domain sequencing\n\nMethyl-CpG binding domain sequencing (MBD-Seq) is an enrichment-based epigenomics method that captures methylated DNA fragments with methyl-CpG binding domain proteins and sequences them to map 5-methylcytosine (5mC) across the genome. It is one of the four most frequently used sequencing-based methylation profiling technologies, alongside the bisulfite-based MethylC-seq and reduced representation bisulfite sequencing (RRBS) and the antibody-based enrichment method MeDIP-seq.[1](https://www.nature.com/articles/nbt.1682) Instead of converting DNA with bisulfite, MBD-Seq physically separates methylated from unmethylated fragments, producing genome-wide maps of methylated regions at fragment-level resolution, with particular strength in CpG-dense areas and repeat regions.[2](https://www.illumina.com/science/sequencing-method-explorer/kits-and-arrays/mbdcap-seq-methylcap-seq-mbd-seq-mbdcap-migs.html)\n\n| Key fact | Detail |\n|---|---|\n| Readout | Genome-wide enrichment of 5mC-marked double-stranded DNA fragments, sequenced and mapped to a reference genome[3](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0022226) |\n| Capture protein | Methyl-CpG binding domain of human MBD2 (MBD2b or MBD2a-Fc fusions) on magnetic beads[4](https://www.neb.com/en/-/media/nebus/files/manuals/manuale2600.pdf?hash=231A95B6CD375575D48BB98DFFEF9319&rev=1bfcb88c81224b87aff0644cbe763b79) |\n| Input DNA | Historically >1 µg ideal; optimized protocols work with 15 ng, reaching 93% of whole-genome bisulfite sequencing coverage[5](https://pubmed.ncbi.nlm.nih.gov/28703682/?dopt=Abstract) |\n| Sequencing depth | Near-saturation CpG coverage in MCF-7 cells at ~100 million unique mapped tags (about five GAII lanes)[3](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0022226) |\n| Resolution | ~150 bp at fragment level; computational models can raise this to 50 bp, and up to 25 bp in highly enriched regions[3](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0022226) |\n| Key limitation | Biased toward CpG-dense, hypermethylated regions; no 5hmC detection; no single-base resolution[2](https://www.illumina.com/science/sequencing-method-explorer/kits-and-arrays/mbdcap-seq-methylcap-seq-mbd-seq-mbdcap-migs.html) |\n\n## How it works\n\nThe method exploits the binding affinity of methyl-CpG binding domain proteins for methylated DNA. The most common enrichment uses MBD2b, whose binding is sequence independent and which binds double-stranded methylated DNA, in contrast to the MeDIP antibody, which binds methylated single-stranded DNA.[6](https://epigeneticsandchromatin.biomedcentral.com/counter/pdf/10.1186/1756-8935-6-17.pdf) Affinity rises with methylation density: MBD binds with increasing affinity to multiple methylated cytosines in close proximity, so it predominantly precipitates multiply methylated fragments rather than fragments carrying sporadically methylated CpGs.[7](https://pmc.ncbi.nlm.nih.gov/articles/PMC2811030/)\n\nBecause binding strength tracks methylation density, salt elution can fractionate the captured DNA. In the MethylMiner protocol, DNA can be eluted as a single high-salt fraction (2 M NaCl, referred to as MBD-SF), or as distinct subpopulations by increasing NaCl from 200 mM to 2000 mM.[8](https://pmc.ncbi.nlm.nih.gov/articles/PMC2989998/) In commercial MBD2a-Fc formats, the Fc dimer presents four MBD2 domains per protein A molecule on the beads, increasing the relative equilibrium constant 100-fold.[4](https://www.neb.com/en/-/media/nebus/files/manuals/manuale2600.pdf?hash=231A95B6CD375575D48BB98DFFEF9319&rev=1bfcb88c81224b87aff0644cbe763b79)\n\n## How it is done\n\n1. **Fragmentation.** Genomic DNA is randomly sheared by sonication, which minimizes sequence-specific fragmentation compared with restriction enzyme digestion.[7](https://pmc.ncbi.nlm.nih.gov/articles/PMC2811030/) Vendor protocols require DNA fragmented by sonication, nebulization, or enzymatic treatment to an average size of less than 1,000 bp.[4](https://www.neb.com/en/-/media/nebus/files/manuals/manuale2600.pdf?hash=231A95B6CD375575D48BB98DFFEF9319&rev=1bfcb88c81224b87aff0644cbe763b79)\n2. **Capture.** Methylated fragments are precipitated by the capture protein, typically recombinant MBD2 coupled to magnetic beads.[3](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0022226)\n3. **Wash and elution.** Methylated DNA is eluted by heating at 65 °C for 15 minutes in nuclease-free water, which is recommended for most downstream applications, with NaCl-based elution as an alternative.[4](https://www.neb.com/en/-/media/nebus/files/manuals/manuale2600.pdf?hash=231A95B6CD375575D48BB98DFFEF9319&rev=1bfcb88c81224b87aff0644cbe763b79)\n4. **Library preparation and sequencing.** Enriched DNA is used to construct sequencing libraries; one published workflow processed 10 ng of MBD-isolated DNA per sample with the Illumina ChIP-Seq Sample Prep Kit. Single ends of the fragments are sequenced and mapped to a reference genome.[7](https://pmc.ncbi.nlm.nih.gov/articles/PMC2811030/) • [3](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0022226)\n\n## Origin\n\nMBD-based enrichment predates sequencing readouts. An earlier MeCP2 affinity chromatography approach required a large amount of genomic DNA (50–100 µg) and was relatively time-consuming; work cited there also showed that MeCP2 requires an A/T run for binding.[9](https://aacrjournals.org/cancerres/article/66/12/6118/525715/Genome-Wide-Profiling-of-CpG-Methylation) An MBD-chip approach used the human MBD2 methyl-CpG binding domain (MBD2-MBD) bound to magnetic beads, followed by analysis on high-density tiling microarrays, a microarray-readout precursor to sequencing-based capture.[10](https://bmcgenomics.biomedcentral.com/counter/pdf/10.1186/1471-2164-12-313.pdf) The sequencing-based implementation MiGS combined precipitation of methylated DNA by the recombinant methyl-CpG binding domain of MBD2 protein with massively parallel sequencing, and was applied to three isogenic cancer cell lines, identifying hundreds of novel methylated regions.[7](https://pmc.ncbi.nlm.nih.gov/articles/PMC2811030/) A related variant, MIRA-seq, was introduced by Marc Jung and colleagues in [Epigenomics](https://www.edgepedia.org/epigenomics) in 2015 for [DNA methylation](https://www.edgepedia.org/dna-methylation) analysis of CpG islands.[11](https://doi.org/10.2217/epi.15.33) Published comparisons do not print the full citation of the original MBD-seq paper, so that credit is not settled here.\n\n## Variants\n\nThe variants differ mainly in capture chemistry, elution scheme, and readout:\n\n- **MBD2-Fc capture (EpiMark).** The methyl-CpG binding domain of human MBD2a fused to the Fc tail of human IgG1 (MBD2a-Fc), coupled to paramagnetic hydrophilic protein A beads, isolates methylated DNA from fragmented genomic DNA.[4](https://www.neb.com/en/-/media/nebus/files/manuals/manuale2600.pdf?hash=231A95B6CD375575D48BB98DFFEF9319&rev=1bfcb88c81224b87aff0644cbe763b79)\n- **MethylMiner.** Uses recombinant MBD2 with salt-gradient elution, either a single 2 M NaCl fraction or stepwise fractions from 200 mM to 2000 mM NaCl that separate DNA by methylation density.[8](https://pmc.ncbi.nlm.nih.gov/articles/PMC2989998/)\n- **MBD-chip.** MBD2-MBD on magnetic beads with high-density tiling microarray readout instead of sequencing.[10](https://bmcgenomics.biomedcentral.com/counter/pdf/10.1186/1471-2164-12-313.pdf)\n- **MIRA-seq.** MBD methods like MIRA-seq are described as more powerful in enriching CpG islands, while MeDIP-seq better enriches regions with low CpG density.[12](https://www.frontiersin.org/journals/cell-and-developmental-biology/articles/10.3389/fcell.2021.714687/full)\n- **Commercial kits** such as Takara's EpiXplore Meth-Seq separate methylated and unmethylated fragments using the binding affinity of the MBD2 protein.[13](https://www.takarabio.com/learning-centers/next-generation-sequencing/technical-notes/epigenetic-sequencing/methylated-dna-seq-with-mbd2)\n\nPublished sources do not detail MethylCollector beyond its place in this family, so its specific differences are not covered here.\n\n## Applications\n\nMBD-Seq is applied where genome-wide methylation patterns matter more than single-base resolution. Its strength is genome-wide coverage of 5mC in dense CpG areas and repeat regions.[2](https://www.illumina.com/science/sequencing-method-explorer/kits-and-arrays/mbdcap-seq-methylcap-seq-mbd-seq-mbdcap-migs.html) Published uses include cancer cell lines, where MiGS identified hundreds of novel methylated regions in isogenic lines,[7](https://pmc.ncbi.nlm.nih.gov/articles/PMC2811030/) and methylome-wide association studies, for which the low-input protocol's cost profile enables adequately powered large-scale comparisons.[5](https://pubmed.ncbi.nlm.nih.gov/28703682/?dopt=Abstract) A cell-free DNA adaptation, cfMBD-seq, works with ultra-low input, correlates highly with standard MBD-seq using more than 1000 ng input, and outperforms cfMeDIP-seq in CpG island enrichment and sequencing data quality, extending the method to patient liquid biopsies.[14](https://pubmed.ncbi.nlm.nih.gov/33724157/)\n\n## Limitations and alternatives\n\n**CpG-density bias.** MBD-based strategies capture CpG-dense methylated regions, while MeDIP tends to enrich methylated fragments with low CpG density; each technique operates in a different domain of the CpG density landscape, so genome coverage depends on the enrichment method used.[8](https://pmc.ncbi.nlm.nih.gov/articles/PMC2989998/) • [1](https://www.nature.com/articles/nbt.1682) Protein-based selection is biased toward hypermethylated regions, and areas with less dense 5mC can be missed.[2](https://www.illumina.com/science/sequencing-method-explorer/kits-and-arrays/mbdcap-seq-methylcap-seq-mbd-seq-mbdcap-migs.html)\n\n**Resolution and modification scope.** [Resolution](https://www.edgepedia.org/resolution) is about 150 bp at the fragment level, not single-base, and depends on the size of the sonicated DNA.[7](https://pmc.ncbi.nlm.nih.gov/articles/PMC2811030/) • [2](https://www.illumina.com/science/sequencing-method-explorer/kits-and-arrays/mbdcap-seq-methylcap-seq-mbd-seq-mbdcap-migs.html) MBD proteins do not interact with 5hmC.[2](https://www.illumina.com/science/sequencing-method-explorer/kits-and-arrays/mbdcap-seq-methylcap-seq-mbd-seq-mbdcap-migs.html)\n\n**Technical artifacts.** Whole-genome amplification can reduce sensitivity for detecting DNA methylation in GC-rich regions.[8](https://pmc.ncbi.nlm.nih.gov/articles/PMC2989998/)\n\n**Alternatives.** [Whole-genome bisulfite sequencing](https://www.edgepedia.org/whole-genome-bisulfite-sequencing) gives single-base resolution but requires far more sequencing to survey the same methylated loci; with two lanes of GAII sequencing per sample, MiGS captured more than 95% of highly methylated loci, and more than 100 lanes on the same instrument would be required to obtain the same information using bisulfite sequencing.[7](https://pmc.ncbi.nlm.nih.gov/articles/PMC2811030/) In a head-to-head study of human embryonic stem cells, the two enrichment methods (MeDIP-seq and MBD-seq) were 99% concordant using binary methylation calls, and regions assessed by all four methods were 97% concordant.[1](https://www.nature.com/articles/nbt.1682) Combining MeDIP-seq with [methylation-sensitive restriction enzyme sequencing](https://www.edgepedia.org/methylation-sensitive-restriction-enzyme-sequencing) (MRE-seq) provides comprehensive methylome coverage at lower cost.[1](https://www.nature.com/articles/nbt.1682) [Methylation](https://www.edgepedia.org/methylation) arrays are more affordable than genome-wide bisulfite sequencing but are limited to a preselected subset of CpG sites.[15](https://link.springer.com/article/10.1186/s13073-025-01506-9)\n\nThe main recent shift is the rise of native long-read methylation calling. Third-generation, single-molecule long-read platforms from [Pacific Biosciences](https://www.edgepedia.org/pacific-biosciences) and [Oxford Nanopore Technologies](https://www.edgepedia.org/oxford-nanopore-technologies) detect DNA base modifications directly from sequencing data without extra DNA treatment steps, generating reads longer than 15 kb; PacBio detects methylated bases in real time through their effects on polymerase kinetic parameters such as pulse width and inter-pulse duration.[15](https://link.springer.com/article/10.1186/s13073-025-01506-9) This matters because bisulfite sequencing damages DNA, is prone to amplification biases, and has difficulty mapping 5mC in challenging genomic regions.[16](https://www.nature.com/articles/s41467-026-75183-6) Targeted nanoEM (t-nanoEM) combines enzymatic conversion of long DNA fragments for nanopore methylation calling with hybridization capture for targeted analysis of clinical specimens.[17](https://doi.org/10.1016/j.crmeth.2025.101215) Published sources do not report post-2023 MBD-Seq kit developments, so the status of short-read MBD enrichment in routine use after that date is not settled here.\n\n## References\n\n1. [Comparison of sequencing-based methods to profile DNA methylation and identification of monoallelic epigenetic modifications](https://www.nature.com/articles/nbt.1682)\n2. [MBDCap-Seq/MethylCap-Seq/MBD-Seq/MBDCap/MiGS, Illumina Sequencing Method Explorer](https://www.illumina.com/science/sequencing-method-explorer/kits-and-arrays/mbdcap-seq-methylcap-seq-mbd-seq-mbdcap-migs.html)\n3. [High Resolution Detection and Analysis of CpG Dinucleotides Methylation Using MBD-Seq Technology](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0022226)\n4. [EpiMark Methylated DNA Enrichment Kit (E2600) manual](https://www.neb.com/en/-/media/nebus/files/manuals/manuale2600.pdf?hash=231A95B6CD375575D48BB98DFFEF9319&rev=1bfcb88c81224b87aff0644cbe763b79)\n5. [A MBD-seq protocol for large-scale methylome-wide studies with (very) low amounts of DNA](https://pubmed.ncbi.nlm.nih.gov/28703682/?dopt=Abstract)\n6. [Epigenetics & Chromatin paper on MBD enrichment](https://epigeneticsandchromatin.biomedcentral.com/counter/pdf/10.1186/1756-8935-6-17.pdf)\n7. [MBD-isolated Genome Sequencing provides a high-throughput and comprehensive survey of DNA methylation in the human genome](https://pmc.ncbi.nlm.nih.gov/articles/PMC2811030/)\n8. [Evaluation of affinity-based genome-wide DNA methylation data: Effects of CpG density, amplification bias, and copy number variation](https://pmc.ncbi.nlm.nih.gov/articles/PMC2989998/)\n9. [Genome-Wide Profiling of CpG Methylation Identifies Novel Targets of Aberrant Hypermethylation in Myeloid Leukemia](https://aacrjournals.org/cancerres/article/66/12/6118/525715/Genome-Wide-Profiling-of-CpG-Methylation)\n10. [MBD-chip (BMC Genomics)](https://bmcgenomics.biomedcentral.com/counter/pdf/10.1186/1471-2164-12-313.pdf)\n11. [Marc Jung and colleagues (2015). MIRA-Seq for DNA Methylation Analysis of CpG Islands. Epigenomics.](https://doi.org/10.2217/epi.15.33)\n12. [A Comparative Overview of Epigenomic Profiling Methods](https://www.frontiersin.org/journals/cell-and-developmental-biology/articles/10.3389/fcell.2021.714687/full)\n13. [Enabling Epigenetics Studies Using Methylated DNA-Seq (Takara EpiXplore Meth-Seq)](https://www.takarabio.com/learning-centers/next-generation-sequencing/technical-notes/epigenetic-sequencing/methylated-dna-seq-with-mbd2)\n14. [Cell-free DNA methylome profiling by MBD-seq with ultra-low input](https://pubmed.ncbi.nlm.nih.gov/33724157/)\n15. [Genome-wide methylation detection and episignature analysis using PacBio long-read sequencing](https://link.springer.com/article/10.1186/s13073-025-01506-9)\n16. [Comprehensive benchmarking of tools for nanopore-based detection of DNA methylation](https://www.nature.com/articles/s41467-026-75183-6)\n17. [Targeted long-read methylation analysis using hybridization capture suitable for clinical specimens (Cell Reports Methods, 2025)](https://doi.org/10.1016/j.crmeth.2025.101215)\n\n---\n*Topic: Encyclopedia › Life and health › Biological foundations › Genetics and genomic reference › Genomics, sequencing, and genome resources › Epigenomic sequencing methods*\n\n*Initially written Sep 29, 2026 · Edited: Oct 15, 2026*\n\n*Copyright 2026 EdgeChat AI, a subsidiary of Biostate AI.*\n\nLicense: Edgepedia Community License 1.0, https://www.edgepedia.org/edgepedia/license\n", "same_as": [], "url": "https://www.edgepedia.org/methyl-cpg-binding-domain-sequencing", "markdown_url": "https://www.edgepedia.org/methyl-cpg-binding-domain-sequencing.md", "license": { "name": "Edgepedia Community License 1.0", "url": "https://www.edgepedia.org/edgepedia/license", "summary": "Free with credit, commercial use included. AI training is open to everyone. For other uses, organizations over USD 100M in revenue or 100M monthly users license separately.", "spdx": "LicenseRef-Edgepedia-Community-1.0" }, "credit": "\"Methyl-CpG binding domain sequencing\", Edgepedia (EdgeChat), https://www.edgepedia.org/methyl-cpg-binding-domain-sequencing. Edgepedia Community License 1.0.", "credit_md": "\"[Methyl-CpG binding domain sequencing](https://www.edgepedia.org/methyl-cpg-binding-domain-sequencing)\", Edgepedia (EdgeChat), [https://www.edgepedia.org/methyl-cpg-binding-domain-sequencing](https://www.edgepedia.org/methyl-cpg-binding-domain-sequencing). [Edgepedia Community License 1.0](https://www.edgepedia.org/edgepedia/license).", "credit_html": "\"Methyl-CpG binding domain sequencing\", Edgepedia (EdgeChat), https://www.edgepedia.org/methyl-cpg-binding-domain-sequencing. Edgepedia Community License 1.0.", "speakable": "Methyl-CpG binding domain sequencing, or MBD-Seq, is an epigenomic sequencing method that captures methylated DNA fragments with MBD2 proteins to map 5-methylcytosine across the genome, favoring CpG-dense regions." }