ReviewBone research2025
Advances in spatial transcriptomics and its application in the musculoskeletal system.
Review in Bone research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed.
- SERPINE1/PAI-1 in Skeletal Degeneration: A Proposed Context-Dependent Framework for Bone Remodeling Regulation.Calcified tissue international · 2026Review
- The Role of Metals and Trace Elements in the Pathogenesis of Osteoarthritis and Other Rheumatic Diseases.International journal of molecular sciences · 2026Review
- Fibroblast-like Synoviocytes as Therapeutic Targets in Rheumatoid Arthritis: Current Evidence on DMARD-Mediated Modulation.Biomedicines · 2026Review
- STAID: A Self-Refining Deep Learning Framework for Spatial Cell-Type Deconvolution with Biologically Informed Modeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Phylogeography of Bone Metastasis: Clonal Evolution, Skeletal Niche Adaptation, and Clinical Implications.International journal of molecular sciences · 2026Review
- Design Strategies to Target Joint Resident Mesenchymal Stem Cells for Osteochondral Regeneration.Cells · 2026Review
- The applications of single-cell and spatial transcriptomics in neuroscience and brain disorders.Neuroscience and biobehavioral reviews · 2026Review
- Spatial transcriptomic profiling of decalcified murine musculoskeletal samples via Xenium Prime 5K.JBMR plus · 2026Article
- From complexity to clarity: aging bone marrow niche in bone and blood regeneration and malignancy.Bone research · 2026Review
- Bridging the Precision Gap in Rheumatoid Arthritis: Spatial Transcriptomics, Spatial Proteomics, and Artificial Intelligence in Precision Health.Biomedicines · 2026Review
- The Emerging Role of Olfactory Receptors: From Genomics to Precision Medicine.Molecular diagnosis & therapy · 2026Review
- Review
- Advances in Spatial Transcriptomics in Bone.Current osteoporosis reports · 2026Review
- Spatial information matters: are traditional imputation methods effective for spatial transcriptomics data?Briefings in bioinformatics · 2026Article
- Cellular basis of accelerated whole-tooth regeneration.bioRxiv : the preprint server for biology · 2026Article
- Spatial multi-omics decoding of the fracture nonunion niche: from immune-vascular-skeletal crosstalk to precision regeneration.Frontiers in medicine · 2026Review
- Resetting the epigenetic clock: cellular senescence and regenerative strategies in intervertebral disc degeneration.Frontiers in aging · 2026Review
- Revolutionizing the understanding of acupoint biology and acupuncture mechanisms through spatial omics: current perspectives and future directions.Frontiers in medicine · 2026Review
- Immunomodulation in the repair of osteonecrosis of the femoral head: reprogramming strategies for macrophages and immune cells.Frontiers in immunology · 2026Review
- Context-dependent roles of the NLRP3 inflammasome in osteomyelitis and strategies for precision modulation.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While bulk RNA sequencing and single-cell RNA sequencing have shed light on cellular heterogeneity and potential molecular mechanisms in the musculoskeletal system in both physiological and various pathological states, the spatial localization of cells and molecules and intercellular interactions within the tissue context require further elucidation. Spatial transcriptomics has revolutionized biological research by simultaneously capturing gene expression profiles and in situ spatial information of tissues, gradually finding applications in musculoskeletal research. This review provides a summary of recent advances in spatial transcriptomics and its application to the musculoskeletal system. The classification and characteristics of data acquisition techniques in spatial transcriptomics are briefly outlined, with an emphasis on widely-adopted representative technologies and the latest technological breakthroughs, accompanied by a concise workflow for incorporating spatial transcriptomics into musculoskeletal system research. The role of spatial transcriptomics in revealing physiological mechanisms of the musculoskeletal system, particularly during developmental processes, is thoroughly summarized. Furthermore, recent discoveries and achievements of this emerging omics tool in addressing inflammatory, traumatic, degenerative, and tumorous diseases of the musculoskeletal system are compiled. Finally, challenges and potential future directions for spatial transcriptomics, both as a field and in its applications in the musculoskeletal system, are discussed.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.