| Title |
Genome Editing in Stem Cells for Disease Therapeutics
|
|---|---|
| Published in |
Molecular Biotechnology, March 2018
|
| DOI | 10.1007/s12033-018-0072-9 |
| Pubmed ID | |
| Authors |
Minjung Song, Suresh Ramakrishna |
| Abstract |
Programmable nucleases including zinc finger nucleases, transcription activator-like effector nucleases, and clustered regularly interspaced short palindrome repeats (CRISPR)/CRISPR-associated protein have tremendous potential biological and therapeutic applications as novel genome editing tools. These nucleases enable precise modification of the gene of interest by disruption, insertion, or correction. The application of genome editing technology to pluripotent stem cells or hematopoietic stem cells has the potential to remarkably advance the contribution of this technology to life sciences. Specifically, disease models can be generated and effective therapeutics can be developed with great efficiency and speed. Here we review the characteristics and mechanisms of each programmable nuclease. In addition, we review the applications of these nucleases to stem cells for disease therapies and summarize key studies of interest. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 21% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Master | 4 | 11% |
| Researcher | 4 | 11% |
| Other | 3 | 8% |
| Other | 4 | 11% |
| Unknown | 10 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 29% |
| Agricultural and Biological Sciences | 6 | 16% |
| Immunology and Microbiology | 2 | 5% |
| Chemistry | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 10 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 04 November 2018.
All research outputs
#14,378,457
of 23,026,672 outputs
Outputs from Molecular Biotechnology
#608
of 976 outputs
Outputs of similar age
#189,004
of 332,611 outputs
Outputs of similar age from Molecular Biotechnology
#3
of 13 outputs
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So far Altmetric has tracked 976 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.