Title |
Commitment and Differentiation of Osteoclast Precursor Cells by the Sequential Expression of C-Fms and Receptor Activator of Nuclear Factor κb (Rank) Receptors
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Published in |
The Journal of Experimental Medicine, December 1999
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DOI | 10.1084/jem.190.12.1741 |
Pubmed ID | |
Authors |
Fumio Arai, Takeshi Miyamoto, Osamu Ohneda, Tomohisa Inada, Tetsuo Sudo, Kenneth Brasel, Takashi Miyata, Dirk M. Anderson, Toshio Suda |
Abstract |
Osteoclasts are terminally differentiated cells derived from hematopoietic stem cells. However, how their precursor cells diverge from macrophagic lineages is not known. We have identified early and late stages of osteoclastogenesis, in which precursor cells sequentially express c-Fms followed by receptor activator of nuclear factor kappaB (RANK), and have demonstrated that RANK expression in early-stage of precursor cells (c-Fms(+)RANK(-)) was stimulated by macrophage colony-stimulating factor (M-CSF). Although M-CSF and RANKL (ligand) induced commitment of late-stage precursor cells (c-Fms(+)RANK(+)) into osteoclasts, even late-stage precursors have the potential to differentiate into macrophages without RANKL. Pretreatment of precursors with M-CSF and delayed addition of RANKL showed that timing of RANK expression and subsequent binding of RANKL are critical for osteoclastogenesis. Thus, the RANK-RANKL system determines the osteoclast differentiation of bipotential precursors in the default pathway of macrophagic differentiation. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 2% |
Germany | 2 | <1% |
India | 1 | <1% |
Canada | 1 | <1% |
Japan | 1 | <1% |
Unknown | 203 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 46 | 22% |
Researcher | 35 | 17% |
Student > Master | 29 | 14% |
Student > Bachelor | 18 | 8% |
Student > Doctoral Student | 14 | 7% |
Other | 31 | 15% |
Unknown | 39 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 47 | 22% |
Agricultural and Biological Sciences | 46 | 22% |
Medicine and Dentistry | 35 | 17% |
Immunology and Microbiology | 14 | 7% |
Engineering | 11 | 5% |
Other | 16 | 8% |
Unknown | 43 | 20% |