ReviewCurrent osteoporosis reports2021
The Osteocyte Transcriptome: Discovering Messages Buried Within Bone.
Review in Current osteoporosis reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- A single-cell immune atlas of primary and secondary lymphoid organs in pigs.Frontiers in immunology · 2026Article
- 3D Osteocyte Networks under Pulsatile Unidirectional Fluid Flow Stimuli (PUFFS).ACS biomaterials science & engineering · 2025Article
- Article
- Isolation, Purification, Generation, and Culture of Osteocytes.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Osteocyte gene expression analysis in mouse bone: optimization of a laser-assisted microdissection protocol.JBMR plus · 2024Article
- Genetic and Gene Expression Resources for Osteoporosis and Bone Biology Research.Current osteoporosis reports · 2023Review
- Bone Trans-omics: Integrating Omics to Unveil Mechanistic Molecular Networks Regulating Bone Biology and Disease.Current osteoporosis reports · 2023Review
- Assembling the Puzzle Pieces. Insights for in Vitro Bone Remodeling.Stem cell reviews and reports · 2023Review
- Review
- The mechanism of oxytocin and its receptors in regulating cells in bone metabolism.Frontiers in pharmacology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
purpose of the reviewOsteocytes are cells embedded within the bone matrix, but their function and specific patterns of gene expression remain only partially defined; this is beginning to change with recent studies using transcriptomics. This unbiased approach can generate large amounts of data and is now being used to identify novel genes and signalling pathways within osteocytes both at baseline conditions and in response to stimuli. This review outlines the methods used to isolate cell populations containing osteocytes, and key recent transcriptomic studies that used osteocyte-containing preparations from bone tissue. RECENT
findingsThree common methods are used to prepare samples to examine osteocyte gene expression: digestion followed by sorting, laser capture microscopy, and the isolation of cortical bone shafts. All these methods present challenges in interpreting the data generated. Genes previously not known to be expressed by osteocytes have been identified and variations in osteocyte gene expression have been reported with age, sex, anatomical location, mechanical loading, and defects in bone strength. A substantial proportion of newly identified transcripts in osteocytes remain functionally undefined but several have been cross-referenced with functional data. Future work and improved methods (e.g. scRNAseq) likely provide useful resources for the study of osteocytes and important new information on the identity and functions of this unique cell type within the skeleton.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.