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唾液细胞类型 DNA 甲基化参考面板,用于儿童的流行病学研究。

Saliva cell type DNA methylation reference panel for epidemiological studies in children.

机构信息

Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.

Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.

出版信息

Epigenetics. 2022 Jan-Feb;17(2):161-177. doi: 10.1080/15592294.2021.1890874. Epub 2021 Feb 22.

Abstract

Saliva is a widely used biological sample, especially in pediatric research, containing a heterogenous mixture of immune and epithelial cells. Associations of exposure or disease with saliva DNA methylation can be influenced by cell-type proportions. Here, we developed a saliva cell-type DNA methylation reference panel to estimate interindividual cell-type heterogeneity in whole saliva studies. Saliva was collected from 22 children (7-16 years) and sorted into immune and epithelial cells, using size exclusion filtration and magnetic bead sorting. DNA methylation was measured using the Illumina MethylationEPIC BeadChip. We assessed cell-type differences in DNA methylation profiles and tested for enriched biological pathways. Immune and epithelial cells differed at 181,577 (22.8%) DNA methylation sites (t-test p < 6.28 × 10). Immune cell hypomethylated sites are mapped to genes enriched for immune pathways (p < 3.2 × 10). Epithelial cell hypomethylated sites were enriched for cornification (p = 5.2 × 10), a key process for hard palette formation. Saliva immune and epithelial cells have distinct DNA methylation profiles which can drive whole-saliva DNA methylation measures. A primary saliva DNA methylation reference panel, easily implemented with an R package, will allow estimates of cell proportions from whole saliva samples and improve epigenetic epidemiology studies by accounting for measurement heterogeneity by cell-type proportions.

摘要

唾液是一种广泛使用的生物样本,特别是在儿科研究中,其中含有异质的免疫和上皮细胞混合物。暴露或疾病与唾液 DNA 甲基化的关联可能受到细胞类型比例的影响。在这里,我们开发了一个唾液细胞类型 DNA 甲基化参考面板,以估计全唾液研究中个体间细胞类型异质性。从 22 名儿童(7-16 岁)中收集唾液,并使用大小排除过滤和磁性珠分选将其分为免疫细胞和上皮细胞。使用 Illumina MethylationEPIC BeadChip 测量 DNA 甲基化。我们评估了 DNA 甲基化图谱中的细胞类型差异,并测试了富集的生物学途径。免疫细胞和上皮细胞在 181,577 个(22.8%)DNA 甲基化位点上存在差异(t 检验 p < 6.28 × 10)。免疫细胞低甲基化位点映射到富含免疫途径的基因上(p < 3.2 × 10)。上皮细胞低甲基化位点富集于角质化(p = 5.2 × 10),这是硬腭形成的关键过程。唾液免疫细胞和上皮细胞具有不同的 DNA 甲基化图谱,这可能会影响全唾液 DNA 甲基化测量值。一个简单易用的初级唾液 DNA 甲基化参考面板,通过 R 包实现,将允许从全唾液样本中估计细胞比例,并通过细胞类型比例来衡量异质性,从而改善表观遗传学流行病学研究。

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本文引用的文献

1
Human methylome variation across Infinium 450K data on the Gene Expression Omnibus.
NAR Genom Bioinform. 2021 Apr 22;3(2):lqab025. doi: 10.1093/nargab/lqab025. eCollection 2021 Jun.
2
Cell Types in Environmental Epigenetic Studies: Biological and Epidemiological Frameworks.
Curr Environ Health Rep. 2020 Sep;7(3):185-197. doi: 10.1007/s40572-020-00287-0.
3
The PedBE clock accurately estimates DNA methylation age in pediatric buccal cells.
Proc Natl Acad Sci U S A. 2020 Sep 22;117(38):23329-23335. doi: 10.1073/pnas.1820843116. Epub 2019 Oct 14.
4
Oral Mucosal Epithelial Cells.
Front Immunol. 2019 Feb 14;10:208. doi: 10.3389/fimmu.2019.00208. eCollection 2019.
5
Comparing DNA methylation profiles in saliva and intestinal mucosa.
BMC Genomics. 2019 Feb 28;20(1):163. doi: 10.1186/s12864-019-5553-0.
7
Identification of differentially methylated cell types in epigenome-wide association studies.
Nat Methods. 2018 Dec;15(12):1059-1066. doi: 10.1038/s41592-018-0213-x. Epub 2018 Nov 30.
9
Quantitation of the cellular content of saliva and buccal swab samples.
Sci Rep. 2018 May 2;8(1):6944. doi: 10.1038/s41598-018-25311-0.
10
A novel cell-type deconvolution algorithm reveals substantial contamination by immune cells in saliva, buccal and cervix.
Epigenomics. 2018 Jul;10(7):925-940. doi: 10.2217/epi-2018-0037. Epub 2018 Apr 25.

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