| Title |
DNA methylation dynamics in human induced pluripotent stem cells
|
|---|---|
| Published in |
Human Cell, April 2016
|
| DOI | 10.1007/s13577-016-0139-5 |
| Pubmed ID | |
| Authors |
Koichiro Nishino, Akihiro Umezawa |
| Abstract |
Indeed human induced pluripotent stem cells (hiPSCs) are considered to be powerful tools in regenerative medicine. To enable the use of hiPSCs in the field of regenerative medicine, it is necessary to understand the mechanisms of reprogramming during the transformation of somatic cells into hiPSCs. Genome-wide epigenetic modification constitutes a critical event in the generation of iPSCs. In other words, to analyze epigenetic changes in iPSCs means to elucidate reprogramming processes. We have established a large number of hiPSCs derived from various human tissues and have obtained their DNA methylation profiles. Comparison analyses indicated that the epigenetic patterns of various hiPSCs, irrespective of their source tissue, were very similar to one another and were similar to those of human embryonic stem cells (hESCs). However, the profiles of hiPSCs and hESCs exhibited epigenetic differences, which were caused by random aberrant hypermethylation at early passages. Interestingly, continuous passaging of the hiPSCs diminished the differences between DNA methylation profiles of hiPSCs and hESCs. The number of aberrant DNA methylation regions may thus represent a useful epigenetic index for evaluating hiPSCs in the context of therapeutic applications. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 33% |
| France | 1 | 33% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 71 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 21% |
| Student > Ph. D. Student | 14 | 19% |
| Student > Master | 10 | 14% |
| Student > Bachelor | 6 | 8% |
| Other | 4 | 6% |
| Other | 7 | 10% |
| Unknown | 16 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 26% |
| Agricultural and Biological Sciences | 14 | 19% |
| Medicine and Dentistry | 6 | 8% |
| Neuroscience | 3 | 4% |
| Engineering | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 21 | 29% |
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 17 January 2024.
All research outputs
#6,373,631
of 25,374,647 outputs
Outputs from Human Cell
#46
of 470 outputs
Outputs of similar age
#84,475
of 313,909 outputs
Outputs of similar age from Human Cell
#1
of 5 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 470 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 90% of its peers.
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