Advances in Spatial Transcriptomics in Bone

Recent developments in sample preparation protocols have enabled the application of spatial transcriptomics to bone. However, there is a lack of standardized data analyses pipelines for spatial transcriptomics in bone. The interpretability of current data sets further suffers from low sample sizes. We consider spatial transcriptomics a cornerstone technology for unravelling bone's spatial and molecular complexity. Via integration into emerging multi-omics and multi-modal imaging approaches, spatial transcriptomics has the potential to advance translational-targeted research in the fields of orthopaedics and musculoskeletal research.

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Publication Details

Journal
Current Osteoporosis Reports
Published
2026-01-15
DOI
https://doi.org/10.1007/s11914-025-00949-8
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Advances in Spatial Transcriptomics in Bone

Esther Wehrle, Nico Valerio Giger
Current Osteoporosis Reports
Single-cell and spatial transcriptomics
article

Advances in Spatial Transcriptomics in Bone

Esther Wehrle, Nico Valerio Giger
article en

Abstract

Recent developments in sample preparation protocols have enabled the application of spatial transcriptomics to bone. However, there is a lack of standardized data analyses pipelines for spatial transcriptomics in bone. The interpretability of current data sets further suffers from low sample sizes. We consider spatial transcriptomics a cornerstone technology for unravelling bone's spatial and molecular complexity. Via integration into emerging multi-omics and multi-modal imaging approaches, spatial transcriptomics has the potential to advance translational-targeted research in the fields of orthopaedics and musculoskeletal research.

Current Osteoporosis ReportsVol. 24(1)
AO Foundation (CH), ETH Zurich (CH)
National Science Foundation, AO Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 88%
Single-cell and spatial transcriptomics
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