Title |
Costimulatory Molecules on Immunogenic Versus Tolerogenic Human Dendritic Cells
|
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Published in |
Frontiers in immunology, January 2013
|
DOI | 10.3389/fimmu.2013.00082 |
Pubmed ID | |
Authors |
Mario Hubo, Bettina Trinschek, Fanny Kryczanowsky, Andrea Tuettenberg, Kerstin Steinbrink, Helmut Jonuleit |
Abstract |
Dendritic cells (DC) are sentinels of immunity, essential for homeostasis of T cell-dependent immune responses. Both functions of DC, initiation of antigen-specific T cell immunity and maintenance of tissue-specific tolerance originate from distinct stages of differentiation, immunogenic versus tolerogenic. Dependent on local micro milieu and inflammatory stimuli, tissue resident immature DC with functional plasticity differentiate into tolerogenic or immunogenic DC with stable phenotypes. They efficiently link innate and adaptive immunity and are ideally positioned to modify T cell-mediated immune responses. Since the T cell stimulatory properties of DC are significantly influenced by their expression of signal II ligands, it is critical to understand the impact of distinct costimulatory pathways on DC function. This review gives an overview of functional different human DC subsets with unique profiles of costimulatory molecules and outlines how different costimulatory pathways together with the immunosuppressive cytokine IL-10 bias immunogenic versus tolerogenic DC functions. Furthermore, we exemplarily describe protocols for the generation of two well-defined monocyte-derived DC subsets for their clinical use, immunogenic versus tolerogenic. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Germany | 3 | <1% |
Chile | 2 | <1% |
United States | 2 | <1% |
France | 1 | <1% |
Italy | 1 | <1% |
Australia | 1 | <1% |
Netherlands | 1 | <1% |
United Kingdom | 1 | <1% |
Brazil | 1 | <1% |
Other | 2 | <1% |
Unknown | 402 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 102 | 24% |
Student > Master | 61 | 15% |
Researcher | 49 | 12% |
Student > Bachelor | 47 | 11% |
Student > Doctoral Student | 23 | 6% |
Other | 48 | 12% |
Unknown | 87 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 96 | 23% |
Immunology and Microbiology | 92 | 22% |
Biochemistry, Genetics and Molecular Biology | 58 | 14% |
Medicine and Dentistry | 36 | 9% |
Engineering | 9 | 2% |
Other | 34 | 8% |
Unknown | 92 | 22% |