| Title |
From In Vitro to In Situ Tissue Engineering
|
|---|---|
| Published in |
Annals of Biomedical Engineering, May 2014
|
| DOI | 10.1007/s10439-014-1022-8 |
| Pubmed ID | |
| Authors |
Debanti Sengupta, Stephen D. Waldman, Song Li |
| Abstract |
In vitro tissue engineering enables the fabrication of functional tissues for tissue replacement. In addition, it allows us to build useful physiological and pathological models for mechanistic studies. However, the translation of in vitro tissue engineering into clinical therapies presents a number of technical and regulatory challenges. It is possible to circumvent the complexity of developing functional tissues in vitro by taking an in situ tissue engineering approach that uses the body as a native bioreactor to regenerate tissues. This approach harnesses the innate regenerative potential of the body and directs the appropriate cells to the site of injury. This review surveys the biomaterial-, cell-, and chemical factor-based strategies to engineer tissue in vitro and in situ. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 189 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 36 | 19% |
| Student > Master | 32 | 17% |
| Student > Ph. D. Student | 29 | 15% |
| Researcher | 18 | 9% |
| Other | 6 | 3% |
| Other | 15 | 8% |
| Unknown | 55 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 37 | 19% |
| Biochemistry, Genetics and Molecular Biology | 26 | 14% |
| Agricultural and Biological Sciences | 19 | 10% |
| Medicine and Dentistry | 16 | 8% |
| Materials Science | 13 | 7% |
| Other | 18 | 9% |
| Unknown | 62 | 32% |