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Single-nucleus multi-omic profiling of human placental syncytiotrophoblasts identifies cellular trajectories during pregnancy.

Meijiao WangYawei LiuRun SunFenting LiuJiaqian LiLong YanJixiang ZhangXinwei XieDongxu LiYiming WangShiwen LiXili ZhuRong LiFalong LuZhenyu XiaoHongmei Wang
Published in: Nature genetics (2024)
The human placenta has a vital role in ensuring a successful pregnancy. Despite the growing body of knowledge about its cellular compositions and functions, there has been limited research on the heterogeneity of the billions of nuclei within the syncytiotrophoblast (STB), a multinucleated entity primarily responsible for placental function. Here we conducted integrated single-nucleus RNA sequencing and single-nucleus ATAC sequencing analyses of human placentas from early and late pregnancy. Our findings demonstrate the dynamic heterogeneity and developmental trajectories of STB nuclei and their correspondence with human trophoblast stem cell (hTSC)-derived STB. Furthermore, we identified transcription factors associated with diverse STB nuclear lineages through their gene regulatory networks and experimentally confirmed their function in hTSC and trophoblast organoid-derived STBs. Together, our data provide insights into the heterogeneity of human STB and represent a valuable resource for interpreting associated pregnancy complications.
Keyphrases
  • endothelial cells
  • single cell
  • induced pluripotent stem cells
  • stem cells
  • pluripotent stem cells
  • healthcare
  • gene expression
  • preterm birth
  • big data
  • machine learning
  • electronic health record
  • data analysis