Spatial Transcriptomics in Bone Mechanomics: Exploring the Mechanoregulation of Fracture Healing in the Era of Spatial Omics.
收藏NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE263658
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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 micro-environments 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. Female 12-week-old mice (n = 4) received mid-diaphyseal femoral defects (0.68 ± 0.04 mm) using an established osteotomy surgical protocol. In vivo micro-CT imaging is performed weekly at the fracture site. Mice which exhibit bridging at 3 weeks post-surgery are then subdivided into Control and Loaded groups. Between weeks 3 – 5, mice receive either cyclic mechanical loading or sham-loading three times per week. All mice are euthanized at 5 weeks post-surgery. Spatial transcriptomics analyses are performed on the explanted femurs (n = 1 Control, n = 1 Loaded). Micro-finite element models - based upon in vivo micro-CT images - are used to generate tissue-scale 3D maps of the mechanical environment. We then correlated the molecular responses of individual cells to their local mechanical environment.
创建时间:
2025-01-02



