Demystifying the long noncoding RNA landscape of small EVs derived from human mesenchymal stromal cells

揭开人类间充质基质细胞衍生的小型 EV 的长链非编码 RNA 景观之谜

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作者:Chien-Wei Lee, Yi-Fan Chen, Allen Wei-Ting Hsiao, Amanda Yu-Fan Wang, Oscar Yuan-Jie Shen, Belle Yu-Hsuan Wang, Lok Wai Cola Ho, Wei-Ting Lin, Chung Hang Jonathan Choi, Oscar Kuang-Sheng Lee

Conclusion

In summary, our study depicts the landscape of lncRNAs in MSC-sEVs and predicts their potential functions via the lncRNA-protein interactome. Elucidation of the lncRNA landscape of MSC-sEVs will facilitate defining the therapeutic potency of MSC-sEVs and the development of sEV-based therapeutics.

Methods

sEVs were isolated from MSCs with or without TNF-α and IFN-γ (20 ng/mL) stimulation. High-throughput lncRNA sequencing and an in silico approach were employed to analyze the profile of lncRNAs in sEVs and predict lncRNA-protein interactomes.

Results

sEVs derived from human MSCs and fibroblasts carried a unique landscape of lncRNAs distinct from the lncRNAs inside these cells. Compared with fibroblast-derived sEVs (F-sEVs), 194 MSC-sEV-specific and 8 upregulated lncRNAs in MSC-sEVs were considered "medicinal signaling lncRNAs"; inflammatory cytokines upregulated 27 lncRNAs in MSC-sEVs, which were considered "licensing-responsive lncRNAs". Based on lncRNA-protein interactome prediction and enrichment analysis, we found that the proteins interacting with medicinal signaling lncRNAs or licensing-responsive lncRNAs have a tight interaction network involved in chromatin remodeling, SWI/SNF superfamily type complexes, and histone binding.

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