Literature DB >> 28370169

Osteoclast differentiation gene expression profiling reveals chemokine CCL4 mediates RANKL-induced osteoclast migration and invasion via PI3K pathway.

Wenhua Xuan1, Xiaoke Feng2, Chen Qian1, Liuying Peng1, Yumeng Shi1, Lingxiao Xu1, Fang Wang3, Wenfeng Tan1.   

Abstract

The migration of osteoclasts (OCs) from circulation and bone marrow into bone surface plays a critical role in the pathogenesis of some bone resorptive diseases, such as rheumatoid arthritis and osteoporosis. To date, how the migration of OCs remains unclear. We investigated gene expression profiling in osteoclastic differentiation of bone marrow-derived macrophages (BMMs) into OCs by microarray analysis. We identified 387 genes overexpressed in osteoclastic differentiation of BMMs. Among them, chemokine CCL4 showed a robust up-regulation signal. High expression of CCL4 was validated in primary BMMs and OC precursor cell line RAW264.7 during differentiation into OCs. The CCL4 neutralization decreased RANKL-induced OC precursor cell migration and invasion in Matrigel-coated transwell membranes assay and in vitro wound healing assay. However, CCL4 inhibition did not affect OCs differentiation and differentiation associated gene expression. The CCL4 inhibition promoted the PI3K phosphorylation at 45 to 60 minutes after RANKL stimulation in RAW264.7. This study indicated that chemokine CCL4 is an important regulator for OCs migration via PI3K pathway, providing a novel therapy target for bone resorptive diseases.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  CCL4; chemokine; migration; osteoclast

Mesh:

Substances:

Year:  2017        PMID: 28370169     DOI: 10.1002/cbf.3260

Source DB:  PubMed          Journal:  Cell Biochem Funct        ISSN: 0263-6484            Impact factor:   3.685


  13 in total

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9.  CCR3 deficiency is associated with increased osteoclast activity and reduced cortical bone volume in adult male mice.

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10.  Gene Expression Profiles of Peripheral Blood Monocytes in Osteoarthritis and Analysis of Differentially Expressed Genes.

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Journal:  Biomed Res Int       Date:  2019-11-26       Impact factor: 3.411

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