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Fast and Efficient Neural Conversion of Human Hematopoietic Cells

Overview of attention for article published in Stem Cell Reports, December 2014
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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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
2 blogs
twitter
1 tweeter
facebook
2 Facebook pages

Citations

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23 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Fast and Efficient Neural Conversion of Human Hematopoietic Cells
Published in
Stem Cell Reports, December 2014
DOI 10.1016/j.stemcr.2014.10.008
Pubmed ID
Authors

Julio Castaño, Pablo Menendez, Cristina Bruzos-Cidon, Marco Straccia, Amaia Sousa, Lorea Zabaleta, Nerea Vazquez, Amaia Zubiarrain, Kai-Christian Sonntag, Luisa Ugedo, Xonia Carvajal-Vergara, Josep Maria Canals, Maria Torrecilla, Rosario Sanchez-Pernaute, Alessandra Giorgetti

Abstract

Neurons obtained directly from human somatic cells hold great promise for disease modeling and drug screening. Available protocols rely on overexpression of transcription factors using integrative vectors and are often slow, complex, and inefficient. We report a fast and efficient approach for generating induced neural cells (iNCs) directly from human hematopoietic cells using Sendai virus. Upon SOX2 and c-MYC expression, CD133-positive cord blood cells rapidly adopt a neuroepithelial morphology and exhibit high expansion capacity. Under defined neurogenic culture conditions, they express mature neuronal markers and fire spontaneous action potentials that can be modulated with neurotransmitters. SOX2 and c-MYC are also sufficient to convert peripheral blood mononuclear cells into iNCs. However, the conversion process is less efficient and resulting iNCs have limited expansion capacity and electrophysiological activity upon differentiation. Our study demonstrates rapid and efficient generation of iNCs from hematopoietic cells while underscoring the impact of target cells on conversion efficiency.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 2%
Germany 1 2%
Unknown 51 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Researcher 9 17%
Student > Master 9 17%
Professor > Associate Professor 5 9%
Student > Bachelor 4 8%
Other 9 17%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 36%
Biochemistry, Genetics and Molecular Biology 9 17%
Neuroscience 8 15%
Medicine and Dentistry 7 13%
Earth and Planetary Sciences 1 2%
Other 3 6%
Unknown 6 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 29 April 2019.
All research outputs
#1,091,479
of 13,697,025 outputs
Outputs from Stem Cell Reports
#350
of 1,301 outputs
Outputs of similar age
#21,653
of 231,682 outputs
Outputs of similar age from Stem Cell Reports
#13
of 52 outputs
Altmetric has tracked 13,697,025 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 1,301 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.2. This one has gotten more attention than average, scoring higher than 73% 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 231,682 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 90% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.