| Title |
Innate-like functions of natural killer T cell subsets result from highly divergent gene programs
|
|---|---|
| Published in |
Nature Immunology, April 2016
|
| DOI | 10.1038/ni.3437 |
| Pubmed ID | |
| Authors | |
| Abstract |
Natural killer T cells (NKT cells) have stimulatory or inhibitory effects on the immune response that can be attributed in part to the existence of functional subsets of NKT cells. These subsets have been characterized only on the basis of the differential expression of a few transcription factors and cell-surface molecules. Here we have analyzed purified populations of thymic NKT cell subsets at both the transcriptomic level and epigenomic level and by single-cell RNA sequencing. Our data indicated that despite their similar antigen specificity, the functional NKT cell subsets were highly divergent populations with many gene-expression and epigenetic differences. Therefore, the thymus 'imprints' distinct gene programs on subsets of innate-like NKT cells that probably impart differences in proliferative capacity, homing, and effector functions. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 20% |
| El Salvador | 1 | 10% |
| Austria | 1 | 10% |
| France | 1 | 10% |
| Malaysia | 1 | 10% |
| Germany | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Science communicators (journalists, bloggers, editors) | 2 | 20% |
| Scientists | 1 | 10% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 218 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 61 | 28% |
| Researcher | 34 | 15% |
| Student > Master | 16 | 7% |
| Student > Bachelor | 14 | 6% |
| Student > Doctoral Student | 12 | 5% |
| Other | 32 | 15% |
| Unknown | 51 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 56 | 25% |
| Agricultural and Biological Sciences | 44 | 20% |
| Biochemistry, Genetics and Molecular Biology | 31 | 14% |
| Medicine and Dentistry | 22 | 10% |
| Engineering | 5 | 2% |
| Other | 10 | 5% |
| Unknown | 52 | 24% |