↓ Skip to main content

Identifying microRNA determinants of human myelopoiesis

Overview of attention for article published in Scientific Reports, May 2018
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
3 tweeters

Readers on

mendeley
14 Mendeley
Title
Identifying microRNA determinants of human myelopoiesis
Published in
Scientific Reports, May 2018
DOI 10.1038/s41598-018-24203-7
Pubmed ID
Authors

Megha Rajasekhar, Ulf Schmitz, Stephane Flamant, Justin J.-L. Wong, Charles G. Bailey, William Ritchie, Jeff Holst, John E. J. Rasko

Abstract

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.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 21%
Student > Master 3 21%
Researcher 3 21%
Student > Doctoral Student 3 21%
Student > Ph. D. Student 1 7%
Other 1 7%
Readers by discipline Count As %
Unspecified 4 29%
Agricultural and Biological Sciences 4 29%
Biochemistry, Genetics and Molecular Biology 3 21%
Medicine and Dentistry 2 14%
Immunology and Microbiology 1 7%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 May 2018.
All research outputs
#6,999,339
of 12,931,128 outputs
Outputs from Scientific Reports
#27,085
of 61,186 outputs
Outputs of similar age
#122,692
of 269,718 outputs
Outputs of similar age from Scientific Reports
#11
of 26 outputs
Altmetric has tracked 12,931,128 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 61,186 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 269,718 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.