Usability of human Infinium MethylationEPIC BeadChip for mouse DNA methylation studies.
BMC Bioinformatics
; 18(1): 486, 2017 Nov 15.
Article
in En
| MEDLINE
| ID: mdl-29141580
ABSTRACT
BACKGROUND:
The advent of array-based genome-wide DNA methylation methods has enabled quantitative measurement of single CpG methylation status at relatively low cost and sample input. Whereas the use of Infinium Human Methylation BeadChips has shown great utility in clinical studies, no equivalent tool is available for rodent animal samples. We examined the feasibility of using the new Infinium MethylationEPIC BeadChip for studying DNA methylation in mouse.RESULTS:
In silico, we identified 19,420 EPIC probes (referred as mEPIC probes), which align with a unique best alignment score to the bisulfite converted reference mouse genome mm10. Further annotation revealed that 85% of mEPIC probes overlapped with mm10.refSeq genes at different genomic features including promoters (TSS1500 and TSS200), 1st exons, 5'UTRs, 3'UTRs, CpG islands, shores, shelves, open seas and FANTOM5 enhancers. Hybridization of mouse samples to Infinium Human MethylationEPIC BeadChips showed successful measurement of mEPIC probes and reproducibility between inter-array biological replicates. Finally, we demonstrated the utility of mEPIC probes for data exploration such as hierarchical clustering.CONCLUSIONS:
Given the absence of cost and labor convenient genome-wide technologies in the murine system, our findings show that the Infinium MethylationEPIC BeadChip platform is suitable for investigation of the mouse methylome. Furthermore, we provide the "mEPICmanifest" with genomic features, available to users of Infinium Human MethylationEPIC arrays for mouse samples.Key words
Cat; Chimpanzee; Cown; DNA methylation; Dog; Epic; Epigenetics; Guinea pig; Infinium BeadChip; Macaque; Mouse; Pig; Rabbit; Rat; Sheep
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
DNA Methylation
/
Oligonucleotide Array Sequence Analysis
/
Mice
Type of study:
Evaluation_studies
/
Prognostic_studies
Limits:
Animals
/
Humans
Language:
En
Journal:
BMC Bioinformatics
Journal subject:
INFORMATICA MEDICA
Year:
2017
Type:
Article
Affiliation country:
Sweden