Title |
Deciphering the transcriptional network of the dendritic cell lineage
|
---|---|
Published in |
Nature Immunology, July 2012
|
DOI | 10.1038/ni.2370 |
Pubmed ID | |
Authors |
Jennifer C Miller, Brian D Brown, Tal Shay, Emmanuel L Gautier, Vladimir Jojic, Ariella Cohain, Gaurav Pandey, Marylene Leboeuf, Kutlu G Elpek, Julie Helft, Daigo Hashimoto, Andrew Chow, Jeremy Price, Melanie Greter, Milena Bogunovic, Angelique Bellemare-Pelletier, Paul S Frenette, Gwendalyn J Randolph, Shannon J Turley, Miriam Merad |
Abstract |
Although much progress has been made in the understanding of the ontogeny and function of dendritic cells (DCs), the transcriptional regulation of the lineage commitment and functional specialization of DCs in vivo remains poorly understood. We made a comprehensive comparative analysis of CD8(+), CD103(+), CD11b(+) and plasmacytoid DC subsets, as well as macrophage DC precursors and common DC precursors, across the entire immune system. Here we characterized candidate transcriptional activators involved in the commitment of myeloid progenitor cells to the DC lineage and predicted regulators of DC functional diversity in tissues. We identified a molecular signature that distinguished tissue DCs from macrophages. We also identified a transcriptional program expressed specifically during the steady-state migration of tissue DCs to the draining lymph nodes that may control tolerance to self tissue antigens. |
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Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 2% |
Japan | 6 | <1% |
United Kingdom | 4 | <1% |
Germany | 3 | <1% |
Denmark | 2 | <1% |
France | 2 | <1% |
Netherlands | 1 | <1% |
Sweden | 1 | <1% |
Brazil | 1 | <1% |
Other | 5 | <1% |
Unknown | 714 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 237 | 32% |
Researcher | 153 | 20% |
Student > Master | 66 | 9% |
Student > Bachelor | 47 | 6% |
Professor > Associate Professor | 34 | 5% |
Other | 116 | 15% |
Unknown | 99 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 276 | 37% |
Immunology and Microbiology | 146 | 19% |
Medicine and Dentistry | 83 | 11% |
Biochemistry, Genetics and Molecular Biology | 81 | 11% |
Computer Science | 11 | 1% |
Other | 37 | 5% |
Unknown | 118 | 16% |