机械生物学
转录组
拉伤
断裂(地质)
体内
骨愈合
计算生物学
生物
细胞生物学
神经科学
基因表达
基因
遗传学
解剖
古生物学
作者
Neashan Mathavan,Amit Singh,Francisco C. Marques,Denise Günther,Gisela A. Kuhn,Esther Wehrle,Ralph Müller
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2025-01-01
卷期号:11 (1): eadp8496-eadp8496
被引量:36
标识
DOI:10.1126/sciadv.adp8496
摘要
In recent decades, the field of bone mechanobiology has sought experimental techniques to unravel the molecular mechanisms governing the phenomenon of mechanically regulated fracture healing. Each cell within a fracture site resides within different local microenvironments characterized by different levels of mechanical strain; thus, preserving the spatial location of each cell is critical in relating cellular responses to mechanical stimuli. Our spatial transcriptomics-based "mechanomics" platform facilitates spatially resolved analysis of the molecular profiles of cells with respect to their local in vivo mechanical environment by integrating time-lapsed in vivo micro-computed tomography, spatial transcriptomics, and micro-finite element analysis. We investigate the transcriptomic responses of cells as a function of the local strain magnitude by identifying the differential expression of genes in regions of high and low strain within a fracture site. Our platform thus has the potential to address fundamental open questions within the field and to discover mechano-responsive targets to enhance fracture healing.
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