Dental Pulp Stem Cell-Derived Mineralized Matrix for Osteoclast Resorption Assays
by Min Wu·Updated 2mo ago
1.2 MB1files
Available on 1 platform
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Description
A supplementary document describing a novel platform for quantitative osteoclast resorption assays. The method uses a rapidly mineralized extracellular matrix derived from mouse dental pulp stem cells, generated within 7 days of osteogenic induction. The document, authored by Min Wu and last updated in April 2026, details the creation, characterization, and application of this assay platform under a CC-BY-4.0 license.
Use Cases
Developing quantitative osteoclast resorption assays based on the described mineralized extracellular matrix platform.
Studying osteoclast differentiation and activity modulation using the RANKL and IFN-γ dose-response data mentioned in the description.
Creating scalable and uniform mineralized substrates for high-throughput drug screening, as suggested by the platform's design.
Strengths
The method generates a uniform, mineralized matrix within 7 days, offering a rapid alternative to natural bone substrates.
The platform is described as supporting differentiation of osteoclast precursors from mouse, rat, and human cell lines, indicating broad applicability.
The document is licensed under CC-BY-4.0, permitting reuse with attribution.
Limitations
The primary data file is a 1.2 MB DOCX document; the underlying raw experimental data or column-level documentation is not directly provided.
Row count and specific data formats for quantitative results are unknown, limiting suitability assessment for direct computational analysis.
Freshness should be verified as the last update date is in the future (2026-04-22).
Provenance
Source
figshare, authored by Min Wu.
Collection Method
Describes a laboratory method for generating and testing a cell-derived mineralized matrix.
Time Range
Methodological description, no specific temporal coverage for data.
Freshness
Last updated 2026-04-22 05:46:21; freshness should be verified.
Geography
null
The dataset is a 1.2 MB DOCX supplementary file; the availability of underlying structured data is unclear.