Title |
A Hitchhiker’s Guide to Myeloid Cell Subsets: Practical Implementation of a Novel Mononuclear Phagocyte Classification System
|
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Published in |
Frontiers in immunology, August 2015
|
DOI | 10.3389/fimmu.2015.00406 |
Pubmed ID | |
Authors |
Martin Guilliams, Lianne van de Laar |
Abstract |
The classification of mononuclear phagocytes as either dendritic cells or macrophages has been mainly based on morphology, the expression of surface markers, and assumed functional specialization. We have recently proposed a novel classification system of mononuclear phagocytes based on their ontogeny. Here, we discuss the practical application of such a classification system through a number of prototypical examples we have encountered while hitchhiking from one subset to another, across species and between steady-state and inflammatory settings. Finally, we discuss the advantages and drawbacks of such a classification system and propose a number of improvements to move from theoretical concepts to concrete guidelines. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
United Kingdom | 1 | 33% |
Switzerland | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | <1% |
Switzerland | 1 | <1% |
United Kingdom | 1 | <1% |
Belgium | 1 | <1% |
United States | 1 | <1% |
Unknown | 233 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 57 | 24% |
Researcher | 39 | 16% |
Student > Bachelor | 27 | 11% |
Student > Master | 24 | 10% |
Student > Doctoral Student | 19 | 8% |
Other | 32 | 13% |
Unknown | 41 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 58 | 24% |
Immunology and Microbiology | 49 | 21% |
Biochemistry, Genetics and Molecular Biology | 42 | 18% |
Medicine and Dentistry | 26 | 11% |
Engineering | 4 | 2% |
Other | 14 | 6% |
Unknown | 46 | 19% |