Scientific Data (Nov 2023)

Profiling mitochondria-polyribosome lncRNAs associated with pluripotency

  • Lei Zhou,
  • Hui Li,
  • Tingge Sun,
  • Xue Wen,
  • Chao Niu,
  • Min Li,
  • Wei Li,
  • Miguel A. Esteban,
  • Andrew R. Hoffman,
  • Ji-Fan Hu,
  • Jiuwei Cui

DOI
https://doi.org/10.1038/s41597-023-02649-3
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 11

Abstract

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Abstract Pluripotent stem cells (PSCs) provide unlimited resources for regenerative medicine because of their potential for self-renewal and differentiation into many different cell types. The pluripotency of these PSCs is dynamically regulated at multiple cellular organelle levels. To delineate the factors that coordinate this inter-organelle crosstalk, we profiled those long non-coding RNAs (lncRNAs) that may participate in the regulation of multiple cellular organelles in PSCs. We have developed a unique strand-specific RNA-seq dataset of lncRNAs that may interact with mitochondria (mtlncRNAs) and polyribosomes (prlncRNAs). Among the lncRNAs differentially expressed between induced pluripotent stem cells (iPSCs), fibroblasts, and positive control H9 human embryonic stem cells, we identified 11 prlncRNAs related to stem cell reprogramming and exit from pluripotency. In conjunction with the total RNA-seq data, this dataset provides a valuable resource to examine the role of lncRNAs in pluripotency, particularly for studies investigating the inter-organelle crosstalk network involved in germ cell development and human reproduction.