| Chapter title |
Electromagnetic Fields and Stem Cell Fate: When Physics Meets Biology
|
|---|---|
| Chapter number | 4 |
| Book title |
Reviews of Physiology, Biochemistry and Pharmacology, Vol. 171
|
| Published in |
Reviews of Physiology, Biochemistry and Pharmacology, August 2016
|
| DOI | 10.1007/112_2016_4 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-943813-9, 978-3-31-943814-6
|
| Authors |
Sara Hassanpour Tamrin, Fatemeh Sadat Majedi, Mahdi Tondar, Amir Sanati-Nezhad, Mohammad Mahdi Hasani-Sadrabadi, Tamrin, Sara Hassanpour, Majedi, Fatemeh Sadat, Tondar, Mahdi, Sanati-Nezhad, Amir, Hasani-Sadrabadi, Mohammad Mahdi |
| Editors |
Bernd Nilius, Pieter de Tombe, Thomas Gudermann, Reinhard Jahn, Roland Lill, Ole H. Petersen |
| Abstract |
Controlling stem cell (SC) fate is an extremely important topic in the realm of SC research. A variety of different external cues mainly mechanical, chemical, or electrical stimulations individually or in combination have been incorporated to control SC fate. Here, we will deconstruct the probable relationship between the functioning of electromagnetic (EMF) and SC fate of a variety of different SCs. The electromagnetic (EM) nature of the cells is discussed with the emphasis on the effects of EMF on the determinant factors that directly and/or indirectly influence cell fate. Based on the EM effects on a variety of cellular processes, it is believed that EMFs can be engineered to provide a controlled signal with the highest impact on the SC fate decision. Considering the novelty and broad applications of applying EMFs to change SC fate, it is necessary to shed light on many unclear mechanisms underlying this phenomenon. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 20% |
| Professor | 3 | 10% |
| Professor > Associate Professor | 3 | 10% |
| Researcher | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Other | 4 | 13% |
| Unknown | 8 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 17% |
| Agricultural and Biological Sciences | 5 | 17% |
| Physics and Astronomy | 3 | 10% |
| Medicine and Dentistry | 3 | 10% |
| Engineering | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 8 | 27% |