» Articles » PMID: 19386619

High-resolution Genome-wide Cytosine Methylation Profiling with Simultaneous Copy Number Analysis and Optimization for Limited Cell Numbers

Abstract

Many genome-wide assays involve the generation of a subset (or representation) of the genome following restriction enzyme digestion. The use of enzymes sensitive to cytosine methylation allows high-throughput analysis of this epigenetic regulatory process. We show that the use of a dual-adapter approach allows us to generate genomic representations that includes fragments of <200 bp in size, previously not possible when using the standard approach of using a single adapter. By expanding the representation to smaller fragments using HpaII or MspI, we increase the representation by these isoschizomers to more than 1.32 million loci in the human genome, representing 98.5% of CpG islands and 91.1% of refSeq promoters. This advance allows the development of a new, high-resolution version of our HpaII-tiny fragment Enrichment by Ligation-mediated PCR (HELP) assay to study cytosine methylation. We also show that the MspI representation generates information about copy-number variation, that the assay can be used on as little as 10 ng of DNA and that massively parallel sequencing can be used as an alternative to microarrays to read the output of the assay, making this a powerful discovery platform for studies of genomic and epigenomic abnormalities.

Citing Articles

Fluorimetric detection of DNA methylation by cerium oxide nanoparticles for early cancer diagnosis.

Adampourezare M, Nikzad B, Amini M, Sheibani N Heliyon. 2024; 10(7):e28695.

PMID: 38586346 PMC: 10998132. DOI: 10.1016/j.heliyon.2024.e28695.


Enhancing clinical potential of liquid biopsy through a multi-omic approach: A systematic review.

Di Sario G, Rossella V, Famulari E, Maurizio A, Lazarevic D, Giannese F Front Genet. 2023; 14:1152470.

PMID: 37077538 PMC: 10109350. DOI: 10.3389/fgene.2023.1152470.


Current Progress, Applications and Challenges of Multi-Omics Approaches in Sesame Genetic Improvement.

Li H, Tahir Ul Qamar M, Yang L, Liang J, You J, Wang L Int J Mol Sci. 2023; 24(4).

PMID: 36834516 PMC: 9965044. DOI: 10.3390/ijms24043105.


The methylome and cell-free DNA: current applications in medicine and pediatric disease.

Spector B, Harrell L, Sante D, Wyckoff G, Willig L Pediatr Res. 2023; 94(1):89-95.

PMID: 36646885 PMC: 9842217. DOI: 10.1038/s41390-022-02448-3.


A Comparative Overview of Epigenomic Profiling Methods.

Mehrmohamadi M, Sepehri M, Nazer N, Norouzi M Front Cell Dev Biol. 2021; 9:714687.

PMID: 34368164 PMC: 8340004. DOI: 10.3389/fcell.2021.714687.


References
1.
Thompson R, Reimers M, Khulan B, Gissot M, Richmond T, Chen Q . An analytical pipeline for genomic representations used for cytosine methylation studies. Bioinformatics. 2008; 24(9):1161-7. PMC: 5061929. DOI: 10.1093/bioinformatics/btn096. View

2.
Yoder J, Walsh C, Bestor T . Cytosine methylation and the ecology of intragenomic parasites. Trends Genet. 1997; 13(8):335-40. DOI: 10.1016/s0168-9525(97)01181-5. View

3.
Kunnath L, Locker J . Characterization of DNA methylation in the rat. Biochim Biophys Acta. 1982; 699(3):264-71. DOI: 10.1016/0167-4781(82)90116-6. View

4.
Lucito R, Healy J, Alexander J, Reiner A, Esposito D, Chi M . Representational oligonucleotide microarray analysis: a high-resolution method to detect genome copy number variation. Genome Res. 2003; 13(10):2291-305. PMC: 403708. DOI: 10.1101/gr.1349003. View

5.
Rauch T, Li H, Wu X, Pfeifer G . 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. 2006; 66(16):7939-47. DOI: 10.1158/0008-5472.CAN-06-1888. View