Micro-RNA Profiling of Exosomes from Marrow-Derived Mesenchymal Stromal Cells in Patients with Acute Myeloid Leukemia: Implications in Leukemogenesis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-12

AUTHORS

Juliana Barrera-Ramirez, Jessie R. Lavoie, Harinad B. Maganti, William L. Stanford, Caryn Ito, Mitchell Sabloff, Marjorie Brand, Michael Rosu-Myles, Yevgeniya Le, David S. Allan

ABSTRACT

Gene regulatory networks in AML may be influenced by microRNAs (miRs) contained in exosomes derived from bone marrow mesenchymal stromal cells (MSCs). We sequenced miRs from exosomes isolated from marrow-derived MSCs from patients with AML (n = 3) and from healthy controls (n = 3; not age-matched). Known targets of mIRs that were significantly different in AML-derived MSC exosomes compared to controls were identified. Of the five candidate miRs identified by differential packaging in exosomes, only miR-26a-5p and miR-101-3p were significantly increased in AML-derived samples while miR-23b-5p, miR-339-3p and miR-425-5p were significantly decreased. Validation of the predicted change in gene expression of the potential targets was investigated by interrogating gene expression levels from public datasets of marrow-derived CD34-selected cells from patients with AML (n = 69) and healthy donors (n = 40). Two molecules with decreased gene expression in AML (EZH2 and GSK3β) were predicted by the miR profiling and have been previously implicated in AML while three molecules were increased in AML-derived cells and have not been previously associated with leukemogenesis (KRBA2, RRBP1 and HIST2H 2BE). In summary, profiling miRs in exosomes from AML-derived MSCs allowed us to identify candidate miRs with potential relevance in AML that could yield new insights regarding leukemogenesis or new treatment strategies. More... »

PAGES

817-825

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12015-017-9762-0

DOI

http://dx.doi.org/10.1007/s12015-017-9762-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091817502

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28918518


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Download the RDF metadata as:  json-ld nt turtle xml License info

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12015-017-9762-0'


 

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