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Partial Reprogramming of Pluripotent Stem Cell-Derived Cardiomyocytes into Neurons

Overview of attention for article published in Scientific Reports, March 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
14 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
26 Mendeley
Title
Partial Reprogramming of Pluripotent Stem Cell-Derived Cardiomyocytes into Neurons
Published in
Scientific Reports, March 2017
DOI 10.1038/srep44840
Pubmed ID
Authors

Wenpo Chuang, Arun Sharma, Praveen Shukla, Guang Li, Moritz Mall, Kuppusamy Rajarajan, Oscar J. Abilez, Ryoko Hamaguchi, Joseph C. Wu, Marius Wernig, Sean M. Wu

Abstract

Direct reprogramming of somatic cells has been demonstrated, however, it is unknown whether electrophysiologically-active somatic cells derived from separate germ layers can be interconverted. We demonstrate that partial direct reprogramming of mesoderm-derived cardiomyocytes into neurons is feasible, generating cells exhibiting structural and electrophysiological properties of both cardiomyocytes and neurons. Human and mouse pluripotent stem cell-derived CMs (PSC-CMs) were transduced with the neurogenic transcription factors Brn2, Ascl1, Myt1l and NeuroD. We found that CMs adopted neuronal morphologies as early as day 3 post-transduction while still retaining a CM gene expression profile. At week 1 post-transduction, we found that reprogrammed CMs expressed neuronal markers such as Tuj1, Map2, and NCAM. At week 3 post-transduction, mature neuronal markers such as vGlut and synapsin were observed. With single-cell qPCR, we temporally examined CM gene expression and observed increased expression of neuronal markers Dcx, Map2, and Tubb3. Patch-clamp analysis confirmed the neuron-like electrophysiological profile of reprogrammed CMs. This study demonstrates that PSC-CMs are amenable to partial neuronal conversion, yielding a population of cells exhibiting features of both neurons and CMs.

Twitter Demographics

The data shown below were collected from the profiles of 14 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Researcher 6 23%
Unspecified 4 15%
Student > Master 3 12%
Student > Bachelor 2 8%
Other 4 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 38%
Agricultural and Biological Sciences 6 23%
Unspecified 4 15%
Neuroscience 3 12%
Immunology and Microbiology 1 4%
Other 2 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 09 November 2018.
All research outputs
#971,079
of 13,756,564 outputs
Outputs from Scientific Reports
#8,983
of 68,608 outputs
Outputs of similar age
#31,593
of 262,558 outputs
Outputs of similar age from Scientific Reports
#475
of 3,107 outputs
Altmetric has tracked 13,756,564 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 68,608 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 86% 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 262,558 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 3,107 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.