Dataset Information

Comparison of whole-genome DNA methylation patterns in whole blood, saliva, and lymphoblastoid cell lines.

ABSTRACT: Epigenetic mechanisms, including DNA methylation, that underlie neuropsychiatric conditions have become a promising area of research. Most commonly used DNA sources in such studies are peripheral (whole) blood (WB), saliva (SL), and lymphoblastoid cell lines (LCLs); thus, the question of the consistency of DNA methylation patterns in those cells is of particular interest. To investigate this question we performed comparative analyses of methylation patterns in WB, SL, and LCLs derived from the same individuals, using Illumina HumanMethylation27 BeadChip arrays. Our results showed that DNA methylation patterns in SL are relatively consistent with those in WB, whereas the patterns in LCLs are similarly distinct from both WB and SL. The results indicated that due to multiple random and directed changes in DNA methylation throughout cell culturing, LCLs are not a reliable source of DNA for epigenetic studies and should be used with caution when investigating epigenetic mechanisms underlying biological processes.

SUBMITTER: Thompson TM

PROVIDER: S-EPMC3577999 | biostudies-other | 2013 Mar

REPOSITORIES: biostudies-other

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Comparison of whole-genome DNA methylation patterns in whole blood, saliva, and lymphoblastoid cell lines.

Thompson Tara M TM Sharfi Duaa D Lee Maria M Yrigollen Carolyn M CM Naumova Oksana Yu OY Grigorenko Elena L EL

Behavior genetics 20121227 2

Epigenetic mechanisms, including DNA methylation, that underlie neuropsychiatric conditions have become a promising area of research. Most commonly used DNA sources in such studies are peripheral (whole) blood (WB), saliva (SL), and lymphoblastoid cell lines (LCLs); thus, the question of the consistency of DNA methylation patterns in those cells is of particular interest. To investigate this question we performed comparative analyses of methylation patterns in WB, SL, and LCLs derived from the s ...[more]

PMID: 23269419

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Project description:It has been suggested that the etiology of respiratory allergies (RA) can be partly explained by DNA methylation changes caused by adverse environmental and lifestyle factors experienced early in life. Longitudinal, prospective studies can aid in the unravelment of the epigenetic mechanisms involved in the disease development. High compliance rates can be expected in these studies when data is collected using non-invasive and convenient procedures. Saliva is an attractive biofluid to analyze changes in DNA methylation patterns. We investigated in a pilot study the differential methylation in saliva of RA (n=5) compared to healthy controls (n=5) using the Illumina Methylation 450K BeadChip platform. We evaluated the results against the results obtained in mononuclear blood cells from the same individuals. Differences in methylation patterns from saliva and mononuclear blood cells were clearly distinguishable (PAdj<0.001 and |ÎÎ²|>0.2), though the methylation status of about 96% of the cg-sites was comparable between peripheral blood mononuclear cells and saliva. When comparing RA cases with healthy controls, the number of differentially methylated sites (DMS) in saliva and blood were 485 and 437, respectively, of which 216 were in common. The methylation levels of these sites were significantly correlated between blood and saliva. Pyrosequencing analysis of 3 selected DMS in the PM20D1, STK32C, and FGFR2 genes, confirmed the absolute levels of methylation as well as the differences between cases and controls as observed from the array data. Our findings show that saliva can be used for genome-wide methylation analysis and that it is possible to identify DMS to distinguish RA cases from healthy controls. The results were replicated in blood cells of the same individuals and confirmed by selected pyrosequencing analysis. This study provides a proof-of-concept that the analysis of DNA methylation profiles in saliva may offer distinct opportunities for molecular epidemiology studies of RA. Bisulphite converted DNA from the 10 samples were hybridised to the Illumina Infinium 450k Human Methylation Beadchip

Project description:It has been suggested that the etiology of respiratory allergies (RA) can be partly explained by DNA methylation changes caused by adverse environmental and lifestyle factors experienced early in life. Longitudinal, prospective studies can aid in the unravelment of the epigenetic mechanisms involved in the disease development. High compliance rates can be expected in these studies when data is collected using non-invasive and convenient procedures. Saliva is an attractive biofluid to analyze changes in DNA methylation patterns. We investigated in a pilot study the differential methylation in saliva of RA (n=5) compared to healthy controls (n=5) using the Illumina Methylation 450K BeadChip platform. We evaluated the results against the results obtained in mononuclear blood cells from the same individuals. Differences in methylation patterns from saliva and mononuclear blood cells were clearly distinguishable (PAdj<0.001 and |Δβ|>0.2), though the methylation status of about 96% of the cg-sites was comparable between peripheral blood mononuclear cells and saliva. When comparing RA cases with healthy controls, the number of differentially methylated sites (DMS) in saliva and blood were 485 and 437, respectively, of which 216 were in common. The methylation levels of these sites were significantly correlated between blood and saliva. Pyrosequencing analysis of 3 selected DMS in the PM20D1, STK32C, and FGFR2 genes, confirmed the absolute levels of methylation as well as the differences between cases and controls as observed from the array data. Our findings show that saliva can be used for genome-wide methylation analysis and that it is possible to identify DMS to distinguish RA cases from healthy controls. The results were replicated in blood cells of the same individuals and confirmed by selected pyrosequencing analysis. This study provides a proof-of-concept that the analysis of DNA methylation profiles in saliva may offer distinct opportunities for molecular epidemiology studies of RA.

Dataset Information

Comparison of whole-genome DNA methylation patterns in whole blood, saliva, and lymphoblastoid cell lines.

Publications

Comparison of whole-genome DNA methylation patterns in whole blood, saliva, and lymphoblastoid cell lines.

Similar Datasets

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