Identifying microRNA determinants of human myelopoiesis.
Megha RajasekharUlf SchmitzStephane FlamantJustin J-L WongCharles G BaileyWilliam RitchieJeff HolstJohn E J RaskoPublished in: Scientific reports (2018)
Myelopoiesis involves differentiation of hematopoietic stem cells to cellular populations that are restricted in their self-renewal capacity, beginning with the common myeloid progenitor (CMP) and leading to mature cells including monocytes and granulocytes. This complex process is regulated by various extracellular and intracellular signals including microRNAs (miRNAs). We characterised the miRNA profile of human CD34+CD38+ myeloid progenitor cells, and mature monocytes and granulocytes isolated from cord blood using TaqMan Low Density Arrays. We identified 19 miRNAs that increased in both cell types relative to the CMP and 27 that decreased. miR-125b and miR-10a were decreased by 10-fold and 100-fold respectively in the mature cells. Using in vitro granulopoietic differentiation of human CD34+ cells we show that decreases in both miR-125b and miR-10a correlate with a loss of CD34 expression and gain of CD11b and CD15 expression. Candidate target mRNAs were identified by co-incident predictions between the miRanda algorithm and genes with increased expression during differentiation. Using luciferase assays we confirmed MCL1 and FUT4 as targets of miR-125b and the transcription factor KLF4 as a target of miR-10a. Together, our data identify miRNAs with differential expression during myeloid development and reveal some relevant miRNA-target pairs that may contribute to physiological differentiation.
Keyphrases
- induced apoptosis
- poor prognosis
- endothelial cells
- long non coding rna
- dendritic cells
- stem cells
- cell proliferation
- cord blood
- transcription factor
- cell cycle arrest
- bone marrow
- long noncoding rna
- induced pluripotent stem cells
- acute myeloid leukemia
- single cell
- binding protein
- cardiovascular disease
- pluripotent stem cells
- genome wide
- endoplasmic reticulum stress
- oxidative stress
- type diabetes
- immune response
- cell death
- signaling pathway
- high throughput
- nk cells
- electronic health record
- artificial intelligence
- genome wide analysis