| Chapter title |
Nonintegrating Human Somatic Cell Reprogramming Methods
|
|---|---|
| Chapter number | 29 |
| Book title |
Engineering and Application of Pluripotent Stem Cells
|
| Published in |
Advances in biochemical engineering biotechnology, January 2017
|
| DOI | 10.1007/10_2017_29 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-973590-0, 978-3-31-973591-7
|
| Authors |
Thorsten M. Schlaeger |
| Abstract |
Traditional biomedical research and preclinical studies frequently rely on animal models and repeatedly draw on a relatively small set of human cell lines, such as HeLa, HEK293, HepG2, HL60, and PANC1 cells. However, animal models often fail to reproduce important clinical phenotypes and conventional cell lines only represent a small number of cell types or diseases, have very limited ethnic/genetic diversity, and either senesce quickly or carry potentially confounding immortalizing mutations. In recent years, human pluripotent stem cells have attracted a lot of attention, in part because these cells promise more precise modeling of human diseases. Expectations are also high that pluripotent stem cell technologies can deliver cell-based therapeutics for the cure of a wide range of degenerative and other diseases. This review focuses on episomal and Sendai viral reprogramming modalities, which are the most popular methods for generating transgene-free human induced pluripotent stem cells (hiPSCs) from easily accessible cell sources. Graphical Abstract. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 26% |
| Student > Ph. D. Student | 4 | 21% |
| Researcher | 2 | 11% |
| Student > Doctoral Student | 1 | 5% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 47% |
| Unspecified | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 26% |