ReviewMilitary Medical Research2024
Advancing skeletal health and disease research with single-cell RNA sequencing.
Review in Military Medical Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed.
- From molecular networks to the clinic: a systems biology-nanomedicine roadmap for osteoarthritis diagnosis, regeneration, and safety-by-design.Discover nano · 2026Review
- SERPINE1/PAI-1 in Skeletal Degeneration: A Proposed Context-Dependent Framework for Bone Remodeling Regulation.Calcified tissue international · 2026Review
- Shoulder and genetics: what orthopedic surgeons need to know.JSES reviews, reports, and techniques · 2026Review
- New biological insights into osteosarcoma-lessons from single cell sequencing studies.Cancer metastasis reviews · 2026Review
- Single-cell RNA sequencing analysis reveals the evolution and regulatory features of specialized endothelial cell subsets in non-traumatic osteonecrosis of the femoral head.Biology direct · 2026Article
- Integrated regulation of ferroptosis in prostate cancer covering mechanisms, resistance, and translational opportunities.Journal of molecular medicine (Berlin, Germany) · 2026Review
- Multimodal modulation of metal-based nanomaterials in osteoarthritis immunotherapy: current landscape and future paradigms.Frontiers in immunology · 2026Review
- Identification of non-cardiomyocytes marker genes in patients with diabetes and cardiomyopathy through single-cell analysis.PloS one · 2026Article
- A practical protocol of processing mineralized tissue for Visium spatial transcriptomics.Mechanobiology in medicine · 2025Article
- Integrated single-cell multi-omics profiling reveals a senescence-associated hematopoietic landscape and regulatory network in aging bone marrow.Biogerontology · 2025Article
- Single-cell sequencing reveals a senescent immune landscape in bone marrow lesions inducing articular cartilage damage in osteoarthritis.Bone research · 2025Article
- Brain-Bone Axis in Physiological and Pathological Conditions.International journal of molecular sciences · 2025Review
- The role of 3D printing in skeletal muscle-on-a-chip models: Current applications and future potential.Materials today. Bio · 2025Article
- CYB5A promotes osteogenic differentiation of MC3T3-E1 cells through autophagy mediated by the AKT/mTOR/ULK1 signaling pathway.Scientific reports · 2025Article
- Exploring molecular and cellular signaling pathways: Unraveling the pathogenesis of tendinopathy.Journal of orthopaedic translation · 2025Review
- Exploring molecular disparities of H-type vasculature endothelial cells in osteonecrosis of the femoral head through single-cell analysis.BMC musculoskeletal disorders · 2025Article
- The AI-driven blueprint: decoding intervertebral disc repair mechanisms for intelligent biomaterial design.Frontiers in cell and developmental biology · 2025Article
- Research Trends and Dynamics in Single-cell RNA Sequencing for Musculoskeletal Diseases: A Scientometric and Visualization Study.International journal of medical sciences · 2025Review
- Single-cell sequencing reveals cellular heterogeneity and molecular mechanisms in tendon and enthesis injury repair.Frontiers in physiology · 2025Review
- Identification of WDR74 and TNFRSF12A as biomarkers for early osteoarthritis using machine learning and immunohistochemistry.Frontiers in immunology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
Orthopedic conditions have emerged as global health concerns, impacting approximately 1.7 billion individuals worldwide. However, the limited understanding of the underlying pathological processes at the cellular and molecular level has hindered the development of comprehensive treatment options for these disorders. The advent of single-cell RNA sequencing (scRNA-seq) technology has revolutionized biomedical research by enabling detailed examination of cellular and molecular diversity. Nevertheless, investigating mechanisms at the single-cell level in highly mineralized skeletal tissue poses technical challenges. In this comprehensive review, we present a streamlined approach to obtaining high-quality single cells from skeletal tissue and provide an overview of existing scRNA-seq technologies employed in skeletal studies along with practical bioinformatic analysis pipelines. By utilizing these methodologies, crucial insights into the developmental dynamics, maintenance of homeostasis, and pathological processes involved in spine, joint, bone, muscle, and tendon disorders have been uncovered. Specifically focusing on the joint diseases of degenerative disc disease, osteoarthritis, and rheumatoid arthritis using scRNA-seq has provided novel insights and a more nuanced comprehension. These findings have paved the way for discovering novel therapeutic targets that offer potential benefits to patients suffering from diverse skeletal disorders.
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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 OpenQuestion graph.