| Title |
Characterization of Protective Human CD4+CD25+ FOXP3+ Regulatory T Cells Generated with IL-2, TGF-β and Retinoic Acid
|
|---|---|
| Published in |
PLOS ONE, December 2010
|
| DOI | 10.1371/journal.pone.0015150 |
| Pubmed ID | |
| Authors |
Ling Lu, Xiaohui Zhou, Julie Wang, Song Guo Zheng, David A. Horwitz |
| Abstract |
Protective CD4+CD25+ regulatory T cells bearing the Forkhead Foxp3 transcription factor can now be divided into three subsets: Endogenous thymus-derived cells, those induced in the periphery, and another subset induced ex-vivo with pharmacological amounts of IL-2 and TGF-β. Unfortunately, endogenous CD4+CD25+ regulatory T cells are unstable and can be converted to effector cells by pro-inflammatory cytokines. Although protective Foxp3+CD4+CD25+ cells resistant to proinflammatory cytokines have been generated in mice, in humans this result has been elusive. Our objective, therefore, was to induce human naïve CD4+ cells to become stable, functional CD25+ Foxp3+ regulatory cells that were also resistant to the inhibitory effects of proinflammatory cytokines. |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United Kingdom | 2 | 2% |
| Brazil | 1 | <1% |
| Chile | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 124 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 21% |
| Researcher | 25 | 19% |
| Student > Master | 21 | 16% |
| Student > Bachelor | 18 | 14% |
| Student > Doctoral Student | 8 | 6% |
| Other | 20 | 15% |
| Unknown | 12 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 31% |
| Immunology and Microbiology | 26 | 20% |
| Medicine and Dentistry | 26 | 20% |
| Biochemistry, Genetics and Molecular Biology | 13 | 10% |
| Computer Science | 2 | 2% |
| Other | 9 | 7% |
| Unknown | 15 | 11% |