ReviewiScience2026
Single-cell technologies drive mechanistic insights and therapeutic translation in skeletal system research.
Review in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- The NLRP12 Osteoimmune Checkpoint: Coordinating Inflammatory Signaling and Bone Remodeling.Biomedicines · 2026Review
- Precision immunopharmacology in peri-implantitis management: from molecular mechanisms to advanced therapeutic strategies.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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A clear mechanistic understanding of the skeletal system's physiological and pathological processes is essential for therapeutic research. Traditional bulk analysis methods cannot resolve cellular heterogeneity and dynamic intercellular signaling in bone microenvironments, limiting insights into skeletal biology. This review focuses on the hierarchical application of single-cell technologies: transcriptomics for cellular identity, spatial omics for tissue context, and multi-omics integration for holistic exploration. These technologies resolve undetectable cellular heterogeneity, identify key cell subpopulations and intercellular communication pathways, and illuminate mechanistic insights. We synthesize their applications, address implementation challenges, and highlight their potential to guide future skeletal research and treatment.
Indexed as
Identifiers
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.