| Title |
Micro-Arrayed Human Embryonic Stem Cells-Derived Cardiomyocytes for In Vitro Functional Assay
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0048483 |
| Pubmed ID | |
| Authors |
Elena Serena, Elisa Cimetta, Susi Zatti, Tania Zaglia, Monica Zagallo, Gordon Keller, Nicola Elvassore |
| Abstract |
The heart is one of the least regenerative organs in the body and any major insult can result in a significant loss of heart cells. The development of an in vitro-based cardiac tissue could be of paramount importance for many aspects of the cardiology research. In this context, we developed an in vitro assay based on human cardiomyocytes (hCMs) and ad hoc micro-technologies, suitable for several applications: from pharmacological analysis to physio-phatological studies on transplantable hCMs. We focused on the development of an assay able to analyze not only hCMs viability, but also their functionality. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Peru | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Italy | 1 | 1% |
| France | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 78 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 24% |
| Researcher | 13 | 16% |
| Student > Master | 10 | 12% |
| Student > Bachelor | 8 | 10% |
| Professor > Associate Professor | 6 | 7% |
| Other | 16 | 20% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 24% |
| Engineering | 17 | 21% |
| Medicine and Dentistry | 13 | 16% |
| Biochemistry, Genetics and Molecular Biology | 10 | 12% |
| Materials Science | 4 | 5% |
| Other | 6 | 7% |
| Unknown | 12 | 15% |