| Title |
RNA-Based Tools for Nuclear Reprogramming and Lineage-Conversion: Towards Clinical Applications
|
|---|---|
| Published in |
Journal of Cardiovascular Translational Research, July 2013
|
| DOI | 10.1007/s12265-013-9494-8 |
| Pubmed ID | |
| Authors |
Juan A. Bernal |
| Abstract |
The therapeutic potential of induced pluripotent stem cells (iPSCs) is well established. Safety concerns remain, however, and these have driven considerable efforts aimed at avoiding host genome alteration during the reprogramming process. At present, the tools used to generate human iPSCs include (1) DNA-based integrative and non-integrative methods and (2) DNA-free reprogramming technologies, including RNA-based approaches. Because of their combined efficiency and safety characteristics, RNA-based methods have emerged as the most promising tool for future iPSC-based regenerative medicine applications. Here, I will discuss novel recent advances in reprogramming technology, especially those utilizing the Sendai virus (SeV) and synthetic modified mRNA. In the future, these technologies may find utility in iPSC reprogramming for cellular lineage-conversion, and its subsequent use in cell-based therapies. |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 2% |
| Unknown | 100 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 22% |
| Student > Master | 16 | 16% |
| Researcher | 15 | 15% |
| Student > Bachelor | 12 | 12% |
| Student > Postgraduate | 7 | 7% |
| Other | 17 | 17% |
| Unknown | 13 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 32% |
| Biochemistry, Genetics and Molecular Biology | 22 | 22% |
| Medicine and Dentistry | 15 | 15% |
| Chemical Engineering | 3 | 3% |
| Neuroscience | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 16 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 31 January 2023.
All research outputs
#4,816,113
of 23,245,494 outputs
Outputs from Journal of Cardiovascular Translational Research
#116
of 584 outputs
Outputs of similar age
#40,818
of 195,433 outputs
Outputs of similar age from Journal of Cardiovascular Translational Research
#3
of 12 outputs
Altmetric has tracked 23,245,494 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 584 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 77% 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 195,433 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 76% of its contemporaries.
We're also able to compare this research output to 12 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.