Cell-cell communication-mediated cell-type-specific parent-of-origin effects in mammals

Genomic imprinting is manifested as monoallelic expression of genes according to parental origin, which is closely linked to mammalian placentation and human diseases. Yet, it is unclear how genomic imprinting evolves in different cell types. Here we generate a single-nucleus transcriptomic landscape of mammalian placental development, identifying 5 major cell types and 14 trophoblast subtypes. By developing a framework for integrating the datasets of single-nucleus transcriptome and whole-genome variations from reciprocal crosses of the genetically distinct Duroc and Lulai pig breeds, we construct a cell-type-specific genomic imprinting landscape, uncovering 118 candidate imprinted genes. We expand the mammalian imprinting gene catalog by identifying 97 previously uncharacterized imprinted candidates. Nearly 75% of imprinted candidates exhibit a cell-type- and developmental-stage-dependent manner. Through cross-species analysis, we show that cell-cell communication, especially the integration and modification of signaling pathways into a cell-type-specific autocrine network, drives biased allelic expression of imprinted genes in pigs, mice, and humans. Our findings provide genetic and molecular insights into parent-of-origin effects on gene expression, offering an in-depth understanding of genomic imprinting in mammals.

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Publication Details

Journal
Nature Communications
Published
2025-06-02
DOI
https://doi.org/10.1038/s41467-025-60469-y
Citations
2
Primary Topic
Genetic Syndromes and Imprinting
Type
article
Field-Weighted Citation Impact
3.63

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article

Cell-cell communication-mediated cell-type-specific parent-of-origin effects in mammals

Langqing Liu, Ming Yang, Enqin Zheng, Jiajin Wu et al.
2 citations
Nature Communications
Genetic Syndromes and Imprinting
3.63
article

Cell-cell communication-mediated cell-type-specific parent-of-origin effects in mammals

Langqing Liu, Ming Yang, Enqin Zheng, Jiajin Wu, Gengyuan Cai, Jie Yang, Zebin Zhang, Zhenfang Wu, Shiyuan Wang, Donglin Ruan, Zheng Xu, Zicong Li, Meng Lin, Xuehua Li, Zekai Yao, Jifei Yang, Jianping Quan
article en
2 citations

Abstract

Genomic imprinting is manifested as monoallelic expression of genes according to parental origin, which is closely linked to mammalian placentation and human diseases. Yet, it is unclear how genomic imprinting evolves in different cell types. Here we generate a single-nucleus transcriptomic landscape of mammalian placental development, identifying 5 major cell types and 14 trophoblast subtypes. By developing a framework for integrating the datasets of single-nucleus transcriptome and whole-genome variations from reciprocal crosses of the genetically distinct Duroc and Lulai pig breeds, we construct a cell-type-specific genomic imprinting landscape, uncovering 118 candidate imprinted genes. We expand the mammalian imprinting gene catalog by identifying 97 previously uncharacterized imprinted candidates. Nearly 75% of imprinted candidates exhibit a cell-type- and developmental-stage-dependent manner. Through cross-species analysis, we show that cell-cell communication, especially the integration and modification of signaling pathways into a cell-type-specific autocrine network, drives biased allelic expression of imprinted genes in pigs, mice, and humans. Our findings provide genetic and molecular insights into parent-of-origin effects on gene expression, offering an in-depth understanding of genomic imprinting in mammals.

Nature CommunicationsVol. 16(1)
South China Agricultural University (CN), Guangdong Polytechnic of Science and Technology (CN), Key Laboratory of Guangdong Province (CN), Kenya Agricultural and Livestock Research Organization (KE), Ministry of Agriculture (ID), Wen's Food Group (China) (CN), Zhongkai University of Agriculture and Engineering (CN)
China Agricultural University, China Postdoctoral Science Foundation, South China Agricultural University
Zero hunger
Openalex Percentile: Top 8%
Genetic Syndromes and Imprinting
3.63
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