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Isolating, Sequencing and Analyzing Extracellular MicroRNAs from Human Mesenchymal Stem Cells
Published on: March 8, 2019
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Comprehensive transcriptomic and proteomic characterization of human mesenchymal stem cells reveals source specific
Anja M Billing1, Hisham Ben Hamidane1, Shaima S Dib1
1Research Division, Weill Cornell Medicine-Qatar, Doha, State of Qatar.
Scientific Reports
|February 10, 2016
Summary
Embryonic stem cell-derived mesenchymal stem cells (ESC-MSC) show significant similarities to bone marrow-derived MSC (BM-MSC), suggesting their therapeutic potential. This study provides a detailed molecular comparison, highlighting vesicle transport and CD markers.
Area of Science:
- Stem cell biology
- Regenerative medicine
- Proteomics and transcriptomics
Background:
- Mesenchymal stem cells (MSC) are crucial for therapy, with numerous clinical trials underway.
- Current MSC sources require invasive procedures and exhibit donor variability.
- Embryonic stem cell-derived MSC (ESC-MSC) offer a potential alternative, but their comparability to traditional MSC is unclear.
Purpose of the Study:
- To comprehensively characterize human ESC-MSC.
- To compare ESC-MSC with human bone marrow-derived MSC (BM-MSC) and human embryonic stem cells (hESC).
- To assess the therapeutic potential and molecular equivalency of ESC-MSC.
Main Methods:
- Transcriptomic analysis using RNA-sequencing (RNA-seq).
- Quantitative proteomic analysis using nanoLC-MS/MS with SILAC.
- Data integration and enrichment analysis.
Main Results:
- Identified vesicle-mediated transport and exosomes as central to MSC biology.
- Demonstrated broad application potential and versatility of MSC.
- Found ESC-MSC molecular profiles comparable to BM-MSC, with differences similar to MSC from other origins.
- Reported extensive coverage of MSC CD markers and membrane proteins.
Conclusions:
- ESC-MSC represent a viable alternative source for therapeutic applications.
- The molecular data supports the use of ESC-MSC in regenerative medicine.
- Detailed molecular profiles enhance understanding of MSC and aid immunofluorescence applications.

