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Osteoclast differentiation and gene regulation

Authors: Qingxiao, Zhao; Jianzhong, Shao; Wei, Chen; Yi-Ping, Li;

Osteoclast differentiation and gene regulation

Abstract

Osteoclasts, the bone resorbing cells, play a key role both in normal bone remodeling and in the skeletal osteopenia of arthritis, osteoporosis, periodontal disease and certain malignancies. Osteoclast cellular commitment, differentiation and function depend upon the establishment of specific patterns of gene expression achieved through networks of transcription factors activated by osteoclastogenic cytokines. This review is an updated look at the various transcription factors and cytokines that have been demonstrated to play critical roles in osteoclast differentiation and function, along with their known animal models, such as: PU.1, Mcsf, RANKL, NF-kappaB, AP-1, NFATc1, Mitf, Myc, and Src. Further studies on these transcription factors and cytokines will not only expand our basic understanding of the molecular mechanisms of osteoclast differentiation, but will also aid our ability to develop therapeutic means of intervention in osteoclast-related diseases.

Related Organizations
Keywords

Gene Expression Regulation, RANK Ligand, Animals, Cytokines, Humans, Osteoclasts, Cell Differentiation, Cell Lineage, Signal Transduction, Transcription Factors

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
112
Top 10%
Top 10%
Top 10%
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