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miRNA profiling of NurOwn®: mesenchymal stem cells secreting neurotrophic factors

Overview of attention for article published in Stem Cell Research & Therapy, November 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 2,734)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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26 news outlets
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9 X users
patent
1 patent
facebook
1 Facebook page

Citations

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22 Dimensions

Readers on

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35 Mendeley
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Title
miRNA profiling of NurOwn®: mesenchymal stem cells secreting neurotrophic factors
Published in
Stem Cell Research & Therapy, November 2017
DOI 10.1186/s13287-017-0692-1
Pubmed ID
Authors

Yael Gothelf, Haggai Kaspi, Natalie Abramov, Revital Aricha

Abstract

MSC-NTF cells are Mesenchymal Stromal Cells (MSC) induced to express high levels of neurotrophic factors (NTFs) using a culture-medium based approach. MSC-NTF cells have been successfully studied in clinical trials for Amyotrophic Lateral Sclerosis (ALS) patients. MicroRNAs (miRNA) are short non-coding RNA molecules that coordinate post-transcriptional regulation of multiple gene targets. The purpose of this study was to determine whether the miRNA profile could provide a tool for MSC-NTF cell characterization and to distinguish them from the matched MSC from which they are derived. NTF secretion in the culture supernatant of MSC-NTF cells was evaluated by ELISA assays. The Agilent microarray miRNA platform was used for pairwise comparisons of MSC-NTF cells to MSC. The differentially expressed miRNAs and putative mRNA targets were validated using qPCR analyses. Principal component analysis revealed two distinct clusters based on cell type (MSC and MSC-NTFs). Nineteen miRNAs were found to be upregulated and 22 miRNAs were downregulated in MSC-NTF cells relative to the MSC cells of origin. Further validation of differentially expressed miRNAs confirmed that miR-3663 and miR-132 were increased 18.5- and 4.06-fold, respectively while hsa-miR-503 was reduced more than 15-fold, suggesting that miRNAs could form the basis of an MSC-NTF cell characterization assay. In an analysis of the miRNA mRNA targets, three mRNA targets of hsa-miR-132-3p (HN-1, RASA1 and KLH-L11) were found to be significantly downregulated. We have demonstrated that MSC-NTF cells can be distinguished from their MSCs of origin by a unique miRNA expression profile. Clinicaltrial.gov identifier NCT01777646 . Registered 12 December 2012.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 17%
Other 4 11%
Student > Ph. D. Student 4 11%
Student > Master 3 9%
Professor > Associate Professor 2 6%
Other 4 11%
Unknown 12 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 17%
Medicine and Dentistry 6 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Neuroscience 2 6%
Agricultural and Biological Sciences 2 6%
Other 3 9%
Unknown 14 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 219. 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 12 January 2023.
All research outputs
#173,630
of 25,152,132 outputs
Outputs from Stem Cell Research & Therapy
#7
of 2,734 outputs
Outputs of similar age
#3,619
of 338,363 outputs
Outputs of similar age from Stem Cell Research & Therapy
#1
of 85 outputs
Altmetric has tracked 25,152,132 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,734 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 99% 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 338,363 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.