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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Photoactivation of Endogenous Latent Transforming Growth Factor–β1 Directs Dental Stem Cell Differentiation for Regeneration
|
|---|---|
| Published in |
Science Translational Medicine, May 2014
|
| DOI | 10.1126/scitranslmed.3008234 |
| Pubmed ID | |
| Authors |
Praveen R Arany, Andrew Cho, Tristan D Hunt, Gursimran Sidhu, Kyungsup Shin, Eason Hahm, George X Huang, James Weaver, Aaron Chih-Hao Chen, Bonnie L Padwa, Michael R Hamblin, Mary Helen Barcellos-Hoff, Ashok B Kulkarni, David J Mooney |
| Abstract |
Rapid advancements in the field of stem cell biology have led to many current efforts to exploit stem cells as therapeutic agents in regenerative medicine. However, current ex vivo cell manipulations common to most regenerative approaches create a variety of technical and regulatory hurdles to their clinical translation, and even simpler approaches that use exogenous factors to differentiate tissue-resident stem cells carry significant off-target side effects. We show that non-ionizing, low-power laser (LPL) treatment can instead be used as a minimally invasive tool to activate an endogenous latent growth factor complex, transforming growth factor-β1 (TGF-β1), that subsequently differentiates host stem cells to promote tissue regeneration. LPL treatment induced reactive oxygen species (ROS) in a dose-dependent manner, which, in turn, activated latent TGF-β1 (LTGF-β1) via a specific methionine residue (at position 253 on LAP). Laser-activated TGF-β1 was capable of differentiating human dental stem cells in vitro. Further, an in vivo pulp capping model in rat teeth demonstrated significant increase in dentin regeneration after LPL treatment. These in vivo effects were abrogated in TGF-β receptor II (TGF-βRII) conditional knockout (DSPP(Cre)TGF-βRII(fl/fl)) mice or when wild-type mice were given a TGF-βRI inhibitor. These findings indicate a pivotal role for TGF-β in mediating LPL-induced dental tissue regeneration. More broadly, this work outlines a mechanistic basis for harnessing resident stem cells with a light-activated endogenous cue for clinical regenerative applications. |
X Demographics
The data shown below were collected from the profiles of 51 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 18% |
| United Kingdom | 5 | 10% |
| Spain | 3 | 6% |
| Australia | 3 | 6% |
| Brazil | 2 | 4% |
| India | 1 | 2% |
| Peru | 1 | 2% |
| Chile | 1 | 2% |
| New Zealand | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 20 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 43 | 84% |
| Science communicators (journalists, bloggers, editors) | 4 | 8% |
| Practitioners (doctors, other healthcare professionals) | 3 | 6% |
| Scientists | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| Japan | 3 | 1% |
| Taiwan | 1 | <1% |
| Malaysia | 1 | <1% |
| Brazil | 1 | <1% |
| Russia | 1 | <1% |
| Unknown | 221 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 21% |
| Student > Bachelor | 35 | 15% |
| Researcher | 26 | 11% |
| Student > Master | 25 | 11% |
| Student > Doctoral Student | 11 | 5% |
| Other | 40 | 17% |
| Unknown | 46 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 70 | 30% |
| Agricultural and Biological Sciences | 36 | 16% |
| Biochemistry, Genetics and Molecular Biology | 24 | 10% |
| Engineering | 20 | 9% |
| Chemistry | 8 | 3% |
| Other | 21 | 9% |
| Unknown | 52 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 391. 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 28 November 2023.
All research outputs
#78,282
of 25,483,400 outputs
Outputs from Science Translational Medicine
#258
of 5,448 outputs
Outputs of similar age
#550
of 241,410 outputs
Outputs of similar age from Science Translational Medicine
#2
of 105 outputs
Altmetric has tracked 25,483,400 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 5,448 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 86.6. This one has done particularly well, scoring higher than 95% 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 241,410 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 99% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.