| Title |
PDX-1 mRNA-induced reprogramming of mouse pancreas-derived mesenchymal stem cells into insulin-producing cells in vitro
|
|---|---|
| Published in |
Clinical and Experimental Medicine, October 2014
|
| DOI | 10.1007/s10238-014-0319-0 |
| Pubmed ID | |
| Authors |
Xing Rong Guo, Xiao Li Wang, Man Chol Li, Ya Hong Yuan, Yun Chen, Dan Dan Zou, Liu Jiao Bian, Dong Sheng Li |
| Abstract |
Pancreatic islet transplantation has remained an effective therapy for type 1 diabetes since 2000. Its widespread use has been prohibited by the shortage of suitable donors. It is critical to explore an applicable alternative for β-cell replacement. This study was performed to generate insulin-producing cells (IPCs) from pancreas-derived mesenchymal stem cells (pMSCs). pMSCs were isolated from discarded pancreatic tissue in the filter liquor during islet isolation procedure in mice and ex vivo expanded in culture. IPCs were induced by transfection of pancreas and duodenal transcription factor 1 (PDX-1) mRNA in vitro. Some islet characteristics were identified on pMSC-derived IPCs in mRNA and protein levels. Our results demonstrated that mouse pMSCs can be transdifferentiated into effective glucose-responsive insulin-producing cells through transfecting synthetic modified PDX-1 mRNA in vitro. The study of PDX-1 mRNA-induced pMSC reprogramming may pave the way toward the development of a novel β-cell source for the treatment of diabetes. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 53% |
| Student > Bachelor | 2 | 13% |
| Professor > Associate Professor | 2 | 13% |
| Professor | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 33% |
| Medicine and Dentistry | 5 | 33% |
| Agricultural and Biological Sciences | 2 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Veterinary Science and Veterinary Medicine | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 1 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 25 November 2020.
All research outputs
#7,960,693
of 25,374,917 outputs
Outputs from Clinical and Experimental Medicine
#98
of 594 outputs
Outputs of similar age
#83,189
of 274,074 outputs
Outputs of similar age from Clinical and Experimental Medicine
#1
of 8 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 594 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 82% of its peers.
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