Supporting data for the effect of gamma-secretase inhibitors in osteoclast differentiation and spreading
Won Jong Jin1, Bongjun Kim1, Jung-Wook Kim1
1Department of Cell and Developmental Biology, Dental Research Institute, School of Dentistry, Seoul National University, Seoul 110-749, Republic of Korea.
Abstract:
The data in this article is related to the research article entitled "Notch2 signaling promotes osteoclast resorption via activation of PYK2" (Jin et al., 2016 [1]). To block Notch signaling activation, we used several gamma-secretase inhibitors (GSIs) and evaluate the inhibitory potential of GSIs on osteoclastogenesis. We measured the effect of GSIs on osteoclastogenesis and normal spreading of osteoclasts by using the mouse bone marrow-derived macrophages (BMMs) which may contributes to insight of physiological relevant of in vivo. This data article suggests valuable approach to GSIs treatment doses and potential of those in the osteoclast differentiation and spreading.
Insights
Gamma-secretase inhibitors (GSIs) effectively block Notch signaling, inhibiting osteoclast differentiation and spreading. This research provides insights into optimal GSI treatment doses for potential therapeutic applications.
Area of Science:
- Cell Biology
- Biochemistry
- Pharmacology
Background:
- Notch2 signaling is implicated in osteoclast resorption.
- Osteoclast differentiation and function are critical in bone remodeling.
Purpose of the Study:
- To evaluate the inhibitory potential of gamma-secretase inhibitors (GSIs) on osteoclastogenesis.
- To assess the effect of GSIs on osteoclast differentiation and spreading using mouse bone marrow-derived macrophages (BMMs).
Main Methods:
- Utilized gamma-secretase inhibitors (GSIs) to block Notch signaling.
- Employed mouse bone marrow-derived macrophages (BMMs) to study osteoclastogenesis.
- Measured the impact of GSIs on osteoclast differentiation and cell spreading.
Main Results:
- GSIs demonstrated significant inhibitory effects on osteoclastogenesis.
- GSIs affected the normal spreading and differentiation of osteoclasts.
- The study provides data relevant to in vivo physiological conditions.
Conclusions:
- GSIs represent a valuable approach for modulating osteoclast activity.
- This data can inform the selection of GSI treatment doses.
- Understanding GSI effects on osteoclasts offers potential therapeutic insights.
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