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Epidermal Wnt signalling regulates transcriptome heterogeneity and proliferative fate in neighbouring cells

Overview of attention for article published in Genome Biology, January 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 blog
twitter
8 X users
reddit
1 Redditor

Citations

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70 Mendeley
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Title
Epidermal Wnt signalling regulates transcriptome heterogeneity and proliferative fate in neighbouring cells
Published in
Genome Biology, January 2018
DOI 10.1186/s13059-017-1384-y
Pubmed ID
Authors

Arsham Ghahramani, Giacomo Donati, Nicholas M. Luscombe, Fiona M. Watt

Abstract

Canonical Wnt/beta-catenin signalling regulates self-renewal and lineage selection within the mammalian epidermis. Although the transcriptional response of keratinocytes that receive a Wnt signal is well characterized, little is known about the mechanism by which keratinocytes in proximity to the Wnt-receiving cell are co-opted to undergo a change in cell fate. To address this, we perform single-cell RNA-sequencing on mouse keratinocytes co-cultured with and without beta-catenin-activated neighbouring cells. We identify five distinct cell states in cultures that had not been exposed to the beta-catenin stimulus and show that the stimulus redistributes wild-type subpopulation proportions. Using temporal single-cell analysis, we reconstruct the cell fate change induced by Wnt activation from neighbouring cells. Gene expression heterogeneity is reduced in neighbouring cells and this effect is most dramatic for protein synthesis-associated genes. Changes in gene expression are accompanied by a shift to a more proliferative stem cell state. By integrating imaging and reconstructed sequential gene expression changes during the state transition we identify transcription factors, including Smad4 and Bcl3, that are responsible for effecting the transition in a contact-dependent manner. Our data indicate that non-cell autonomous Wnt/beta-catenin signalling decreases transcriptional heterogeneity. This furthers our understanding of how epidermal Wnt signalling orchestrates regeneration and self-renewal.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 23%
Researcher 14 20%
Student > Master 13 19%
Student > Bachelor 6 9%
Student > Doctoral Student 6 9%
Other 7 10%
Unknown 8 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 47%
Agricultural and Biological Sciences 18 26%
Medicine and Dentistry 3 4%
Computer Science 2 3%
Business, Management and Accounting 1 1%
Other 6 9%
Unknown 7 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 03 February 2020.
All research outputs
#3,124,345
of 25,394,764 outputs
Outputs from Genome Biology
#2,313
of 4,470 outputs
Outputs of similar age
#70,452
of 469,257 outputs
Outputs of similar age from Genome Biology
#30
of 43 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 469,257 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 84% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.