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Homogenic Evaluation for Spatial Distribution in Osteoclast Differentiation

BACKGROUND: Cells have heterogeneous cellular diversity in size, morphology, cell cycle, metabolism, differentiation degree, and spatial distribution. The shift of specific cells towards the desired cells is crucial for maintaining uniform cellular function and can be represented by homogeneity and...

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Detalles Bibliográficos
Autores principales: Lim, Hyun-Sook, Shin, Hong-In, Jeong, Daewon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society for Bone and Mineral Research 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760772/
https://www.ncbi.nlm.nih.gov/pubmed/36529869
http://dx.doi.org/10.11005/jbm.2022.29.4.265
Descripción
Sumario:BACKGROUND: Cells have heterogeneous cellular diversity in size, morphology, cell cycle, metabolism, differentiation degree, and spatial distribution. The shift of specific cells towards the desired cells is crucial for maintaining uniform cellular function and can be represented by homogeneity and heterogeneity. Here, we developed a simple and direct method for evaluating the homogeneous distribution of desired cells in a constant region. METHODS: We differentiated osteoclast progenitors into bone-resorbing multinucleated giant osteoclasts in a 2-dimensional culture plate under 2 conditions. Cells were stained with tartrate-resistant acid phosphatase to assess osteoclast differentiation, images were taken using a microscope and divided into sectors, and the number of osteoclasts (≥3 nuclei) in each sector was counted. To assess the homogeneity of the spatial distribution of osteoclasts, the standard deviation (SD) was calculated from the mean number of osteoclasts within each sector. RESULTS: From the 2 groups, a value with a SD close to 0 indicates high spatial homogeneity while a relatively high SD represents low spatial homogeneity. CONCLUSIONS: Our findings suggest that spatial homogeneity can be represented as SD.