Allele-Specific Methylome and Transcriptome Analysis Reveals Widespread Imprinting in the Human Placenta

Hirotaka Hamada, Hiroaki Okae, Hidehiro Toh, Hatsune Chiba, Hitoshi Hiura, Kenjiro Shirane, Tetsuya Sato, Mikita Suyama, Nobuo Yaegashi, Hiroyuki Sasaki, Takahiro Arima

    Research output: Contribution to journalArticlepeer-review

    80 Citations (Scopus)

    Abstract

    DNA methylation is globally reprogrammed after fertilization, and as a result, the parental genomes have similar DNA-methylation profiles after implantation except at the germline differentially methylated regions (gDMRs). We and others have previously shown that human blastocysts might contain thousands of transient maternally methylated gDMRs (transient mDMRs), whose maternal methylation is lost in embryonic tissues after implantation. In this study, we performed genome-wide allelic DNA methylation analyses of purified trophoblast cells from human placentas and, surprisingly, found that more than one-quarter of the transient-in-embryo mDMRs maintained their maternally biased DNA methylation. RNA-sequencing-based allelic expression analyses revealed that some of the placenta-specific mDMRs were associated with expression of imprinted genes (e.g., TIGAR, SLC4A7, PROSER2-AS1, and KLHDC10), and three imprinted gene clusters were identified. This approach also identified some X-linked gDMRs. Comparisons of the data with those from other mammals revealed that genomic imprinting in the placenta is highly variable. These findings highlight the incomplete erasure of germline DNA methylation in the human placenta; understanding this erasure is important for understanding normal placental development and the pathogenesis of developmental disorders with imprinting effects.

    Original languageEnglish
    Pages (from-to)1045-1058
    Number of pages14
    JournalAmerican journal of human genetics
    Volume99
    Issue number5
    DOIs
    Publication statusPublished - Nov 3 2016

    All Science Journal Classification (ASJC) codes

    • Genetics
    • Genetics(clinical)

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