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A transient disruption of fibroblastic transcriptional regulatory network facilitates trans-differentiation

Overview of attention for article published in Nucleic Acids Research, July 2014
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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2 patents

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Title
A transient disruption of fibroblastic transcriptional regulatory network facilitates trans-differentiation
Published in
Nucleic Acids Research, July 2014
DOI 10.1093/nar/gku567
Pubmed ID
Authors

Yasuhiro Tomaru, Ryota Hasegawa, Takahiro Suzuki, Taiji Sato, Atsutaka Kubosaki, Masanori Suzuki, Hideya Kawaji, Alistair R.R. Forrest, Yoshihide Hayashizaki, Jay W. Shin, Harukazu Suzuki

Abstract

Transcriptional Regulatory Networks (TRNs) coordinate multiple transcription factors (TFs) in concert to maintain tissue homeostasis and cellular function. The re-establishment of target cell TRNs has been previously implicated in direct trans-differentiation studies where the newly introduced TFs switch on a set of key regulatory factors to induce de novo expression and function. However, the extent to which TRNs in starting cell types, such as dermal fibroblasts, protect cells from undergoing cellular reprogramming remains largely unexplored. In order to identify TFs specific to maintaining the fibroblast state, we performed systematic knockdown of 18 fibroblast-enriched TFs and analyzed differential mRNA expression against the same 18 genes, building a Matrix-RNAi. The resulting expression matrix revealed seven highly interconnected TFs. Interestingly, suppressing four out of seven TFs generated lipid droplets and induced PPARG and CEBPA expression in the presence of adipocyte-inducing medium only, while negative control knockdown cells maintained fibroblastic character in the same induction regime. Global gene expression analyses further revealed that the knockdown-induced adipocytes expressed genes associated with lipid metabolism and significantly suppressed fibroblast genes. Overall, this study reveals the critical role of the TRN in protecting cells against aberrant reprogramming, and demonstrates the vulnerability of donor cell's TRNs, offering a novel strategy to induce transgene-free trans-differentiations.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United States 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 24%
Researcher 9 15%
Student > Master 7 12%
Student > Doctoral Student 5 8%
Professor > Associate Professor 5 8%
Other 11 19%
Unknown 8 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 39%
Biochemistry, Genetics and Molecular Biology 16 27%
Medicine and Dentistry 7 12%
Neuroscience 2 3%
Computer Science 1 2%
Other 2 3%
Unknown 8 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 24 November 2022.
All research outputs
#4,575,425
of 25,090,809 outputs
Outputs from Nucleic Acids Research
#7,119
of 27,630 outputs
Outputs of similar age
#41,306
of 231,887 outputs
Outputs of similar age from Nucleic Acids Research
#67
of 281 outputs
Altmetric has tracked 25,090,809 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,630 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 74% 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 231,887 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 82% of its contemporaries.
We're also able to compare this research output to 281 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.