A lncRNA-miRNA-mRNA network for human primed, naive and extended pluripotent stem cells

PLoS One. 2020 Jun 16;15(6):e0234628. doi: 10.1371/journal.pone.0234628. eCollection 2020.

Abstract

Human pluripotent stem cells (hPSCs) represent a promising platform for studying embryonic development, and different states of pluripotency reflect the different stages of embryo development. Here, we successfully converted three in-house-derived primed hPSC lines (H10, H24, and iPS) to a naive state and an expanded pluripotent stem cell (EPS) state. Primed, naive and EPS cells displayed state-specific morphologies and expressed pluripotent markers. The expression of SSEA4 and TRA-1-60 was downregulated in the conversion process. The H3K27me3 expression level also decreased, indicating that global methylation was reduced and that the X chromosome started to reactivate. RNA-sequencing analysis results revealed that differentially expressed genes (DEGs) were significantly enriched in both naive hPSCs and EPS cells when compared to the primed state. However, imprinted gene expression barely changed before and after state reversion. Gene ontology (GO) analyses showed that the upregulated DEGs were mostly enriched in RNA processing, DNA replication and repair, and regulation of cell cycle process, while downregulated DEGs were related to extracellular adhesion and various tissue developmental processes. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that EPS cells were enriched in the PI3K-Akt and Wnt signaling pathways. Analysis of the lncRNA-miRNA-mRNA competing endogenous RNA (ceRNA) network between primed, naive hPSCs and EPS cells revealed that hsa-miR-424-5p, has-miR-16-5p, has-miR-27b-3p, has-miR-29c-3p, and KCNQ1OT1 were crucial nodes with high degrees of connectivity. Our work may represent new insight into the intrinsic molecular features of different hPSC states.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cells, Cultured
  • Down-Regulation
  • Embryonic Development / genetics*
  • Gene Expression Profiling
  • Gene Regulatory Networks
  • Humans
  • Methylation
  • MicroRNAs / genetics*
  • Pluripotent Stem Cells / classification*
  • RNA, Long Noncoding / genetics*
  • RNA, Messenger / genetics*
  • Up-Regulation

Substances

  • MicroRNAs
  • RNA, Long Noncoding
  • RNA, Messenger

Grants and funding

This work was supported by the National Key R&D Program of China (2019YFA0110804,2018YFC1003203), National Natural Science Foundation of China (Grant No. 81871162), Guangdong Province Science and Technology Project (2017A020214005) and the Guangzhou Science and Technology Project (201803010048).