| Title |
Modulation of Human Mesenchymal Stem Cell Immunogenicity through Forced Expression of Human Cytomegalovirus US Proteins
|
|---|---|
| Published in |
PLOS ONE, May 2012
|
| DOI | 10.1371/journal.pone.0036163 |
| Pubmed ID | |
| Authors |
Melisa A. Soland, Mariana G. Bego, Evan Colletti, Christopher D. Porada, Esmail D. Zanjani, Stephen St. Jeor, Graça Almeida-Porada |
| Abstract |
Mesenchymal stem cells (MSC) are promising candidates for cell therapy, as they migrate to areas of injury, differentiate into a broad range of specialized cells, and have immunomodulatory properties. However, MSC are not invisible to the recipient's immune system, and upon in vivo administration, allogeneic MSC are able to trigger immune responses, resulting in rejection of the transplanted cells, precluding their full therapeutic potential. Human cytomegalovirus (HCMV) has developed several strategies to evade cytotoxic T lymphocyte (CTL) and Natural Killer (NK) cell recognition. Our goal is to exploit HCMV immunological evasion strategies to reduce MSC immunogenicity. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 32 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 27% |
| Student > Master | 6 | 18% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 27% |
| Biochemistry, Genetics and Molecular Biology | 8 | 24% |
| Medicine and Dentistry | 4 | 12% |
| Immunology and Microbiology | 2 | 6% |
| Chemical Engineering | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 7 | 21% |