Title |
Unraveling Natural Killer T-Cells Development
|
---|---|
Published in |
Frontiers in immunology, January 2018
|
DOI | 10.3389/fimmu.2017.01950 |
Pubmed ID | |
Authors |
Sabrina Bianca Bennstein |
Abstract |
Natural killer T-cells are a subset of innate-like T-cells with the ability to bridge innate and adaptive immunity. There is great interest in harnessing these cells to improve tumor therapy; however, greater understanding of invariant NKT (iNKT) cell biology is needed. The first step is to learn more about NKT development within the thymus. Recent studies suggest lineage separation of murine iNKT cells into iNKT1, iNKT2, and iNKT17 cells instead of shared developmental stages. This review will focus on these new studies and will discuss the evidence for lineage separation in contrast to shared developmental stages. The author will also highlight the classifications of murine iNKT cells according to identified transcription factors and cytokine production, and will discuss transcriptional and posttranscriptional regulations, and the role of mammalian target of rapamycin. Finally, the importance of these findings for human cancer therapy will be briefly discussed. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 109 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 20% |
Researcher | 14 | 13% |
Student > Bachelor | 13 | 12% |
Student > Master | 13 | 12% |
Student > Doctoral Student | 6 | 6% |
Other | 14 | 13% |
Unknown | 27 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 32 | 29% |
Agricultural and Biological Sciences | 20 | 18% |
Biochemistry, Genetics and Molecular Biology | 16 | 15% |
Medicine and Dentistry | 9 | 8% |
Economics, Econometrics and Finance | 1 | <1% |
Other | 3 | 3% |
Unknown | 28 | 26% |