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Direct pericyte-to-neuron reprogramming via unfolding of a neural stem cell-like program

Overview of attention for article published in Nature Neuroscience, June 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Citations

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21 Dimensions

Readers on

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163 Mendeley
Title
Direct pericyte-to-neuron reprogramming via unfolding of a neural stem cell-like program
Published in
Nature Neuroscience, June 2018
DOI 10.1038/s41593-018-0168-3
Pubmed ID
Authors

Marisa Karow, J. Gray Camp, Sven Falk, Tobias Gerber, Abhijeet Pataskar, Malgorzata Gac-Santel, Jorge Kageyama, Agnieska Brazovskaja, Angela Garding, Wenqiang Fan, Therese Riedemann, Antonella Casamassa, Andrej Smiyakin, Christian Schichor, Magdalena Götz, Vijay K. Tiwari, Barbara Treutlein, Benedikt Berninger

Abstract

Ectopic expression of defined transcription factors can force direct cell-fate conversion from one lineage to another in the absence of cell division. Several transcription factor cocktails have enabled successful reprogramming of various somatic cell types into induced neurons (iNs) of distinct neurotransmitter phenotype. However, the nature of the intermediate states that drive the reprogramming trajectory toward distinct iN types is largely unknown. Here we show that successful direct reprogramming of adult human brain pericytes into functional iNs by Ascl1 and Sox2 encompasses transient activation of a neural stem cell-like gene expression program that precedes bifurcation into distinct neuronal lineages. During this transient state, key signaling components relevant for neural induction and neural stem cell maintenance are regulated by and functionally contribute to iN reprogramming and maturation. Thus, Ascl1- and Sox2-mediated reprogramming into a broad spectrum of iN types involves the unfolding of a developmental program via neural stem cell-like intermediates.

Twitter Demographics

The data shown below were collected from the profiles of 46 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 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 163 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 27%
Student > Master 30 18%
Researcher 28 17%
Student > Bachelor 16 10%
Student > Doctoral Student 7 4%
Other 18 11%
Unknown 20 12%
Readers by discipline Count As %
Neuroscience 50 31%
Biochemistry, Genetics and Molecular Biology 33 20%
Agricultural and Biological Sciences 26 16%
Medicine and Dentistry 11 7%
Engineering 3 2%
Other 12 7%
Unknown 28 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 125. 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 23 August 2019.
All research outputs
#151,962
of 15,247,938 outputs
Outputs from Nature Neuroscience
#372
of 4,525 outputs
Outputs of similar age
#5,668
of 278,571 outputs
Outputs of similar age from Nature Neuroscience
#11
of 71 outputs
Altmetric has tracked 15,247,938 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 4,525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.5. This one has done particularly well, scoring higher than 91% 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 278,571 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 97% of its contemporaries.
We're also able to compare this research output to 71 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.