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lncRNA-mRNA expression profiles and functional networks of mesenchymal stromal cells involved in monocyte regulation. | LitMetric

AI Article Synopsis

  • The study aimed to investigate how long non-coding RNAs (lncRNAs) and messenger RNAs (mRNAs) in mesenchymal stromal cells (MSCs) influence monocyte function and to understand how MSCs regulate immune responses in monocytes.
  • Researchers isolated MSCs and CD14+ monocytes, determined immunoregulatory effects using flow cytometry, and identified differentially expressed lncRNAs and mRNAs through high-throughput sequencing and bioinformatic analysis.
  • The results showed MSCs enhanced monocyte migration while inhibiting their differentiation into inflammatory M1 macrophages, identifying 145 DE lncRNAs and 768 DE mRNAs, and revealing several important biological pathways related to immune regulation.

Article Abstract

Background: The goals of this study were to explore the expression profiles and functional networks of long non-coding RNAs (lncRNAs) and messenger RNAs (mRNAs) in mesenchymal stromal cells (MSCs) involved in regulating the function of monocytes and to clarify the mechanisms by which MSCs exert immunoregulatory effects on monocytes.

Methods: MSCs and CD14+ monocytes were separately isolated. The immunoregulatory effects of MSCs on monocytes were determined by flow cytometry. lncRNAs and mRNAs that were differentially expressed (DE) between the control group (MSCs only) and co-culture group (MSCs co-cultured with monocytes) were identified through high-throughput sequencing and bioinformatic analyses and were confirmed by qRT-PCR. Bioinformatic analyses were performed to identify the critical biological functions and signalling pathways involved in MSC-mediated monocyte regulation and to identify the functional networks formed between DE mRNAs and lncRNAs.

Results: MSCs showed a strong ability to induce monocyte migration but inhibited monocyte differentiation into M1 macrophages. A total of 145 DE lncRNAs and 768 DE mRNAs were identified between the control and co-culture groups. Significant fold changes in lncRNAs and mRNAs were confirmed by qRT-PCR. GO analysis demonstrated that DE mRNAs and lncRNAs were highly associated with terms related to binding and biological regulation. KEGG analysis revealed 122 significantly regulated pathways, including the cytokine-cytokine receptor pathway and chemokine signalling pathway. Interaction and co-expression networks were constructed for DE mRNAs and lncRNAs, and several key microRNAs were identified in the competitive endogenous RNA (ceRNA) network. Target genes of the DE lncRNAs were analysed to predict critical mRNA-lncRNA axes involved in the immunoregulatory function of MSCs.

Conclusions: Our research describes the lncRNA and mRNA expression profiles and functional networks involved in MSC-mediated regulation of monocytes. These results provide possible molecular mechanisms for the immunoregulatory function of MSCs and may help to elucidate possible molecular therapeutic targets in MSCs for the treatment of autoimmune diseases.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6636070PMC
http://dx.doi.org/10.1186/s13287-019-1306-xDOI Listing

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