ArticleAdvanced functional materials2014
Cell-tethered ligands modulate bone remodeling by osteoblasts and osteoclasts.
Article in Advanced functional materials, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Osteoblast-osteoclast co-cultures: A systematic review and map of available literature.PloS one · 2021Pooled it
- An Exploration of the Role of Osteoclast Lineage Cells in Bone Tissue Engineering.Tissue engineering. Part B, Reviews · 2025Review
- Citrate: a key signalling molecule and therapeutic target for bone remodeling disorder.Frontiers in endocrinology · 2024Review
- Concentric-mineralized hybrid silk-based scaffolds for bone tissue engineeringJournal of materials chemistry. B · 2023Article
- Tuning the resorption-formation balance in anBone reports · 2023Article
- The dual role of autophagy in periprosthetic osteolysis.Frontiers in cell and developmental biology · 2023Review
- Effects of Triiodothyronine on Human Osteoblast-Like Cells: Novel Insights From a Global Transcriptome Analysis.Frontiers in cell and developmental biology · 2022Article
- Suitability and limitations of mesenchymal stem cells to elucidate human bone illness.World journal of stem cells · 2019Review
- Fluorine-contained hydroxyapatite suppresses bone resorption through inhibiting osteoclasts differentiation and function in vitro and in vivo.Cell proliferation · 2019Article
- Review
- Quantitative characterization of mineralized silk film remodeling during long-term osteoblast-osteoclast co-culture.Biomaterials · 2014Article
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 at 2 institutions in 1 country.
Funding
Abstract
The goals of the present study are to establish an in vitro co-culture model of osteoblast and osteoclast function and to quantify the resulting bone remodeling. The bone is tissue engineered using well-defined silk protein biomaterials in 2D and 3D formats in combination with human cells expressing tethered agonists for selected G protein-coupled receptors (GPCRs). The tethered constructs are introduced with the objective of triggering sustained and localized GPCR signaling. The cell-modified biomaterial surfaces are reconstructed from SEM images into 3D models using image processing for quantitative measurement of surface characteristics. Parathyroid hormone (PTH) and glucose-dependent insulinotropic peptide (GIP) are selected because of their roles in bone remodeling for expression in tethered format on bone marrow derived human mesenchymal stem cells (hMSCs). Increased calcium deposition and increased surface roughness are found in 3D digital surface models constructed from SEM images of silk protein films remodeled by the co-cultures containing the tethered PTH, and decreased surface roughness is found for the films remodeled by the tethered GIP co-cultures. Increased surface roughness is not found in monocultures of hMSCs expressing tethered PTH, suggesting that osteoclast-osteoblast interactions in the presence of PTH signaling are responsible for the increased mineralization. These data point towards the design of in vitro bone models in which osteoblast-osteoclast interactions are mimicked for a better understanding of bone remodeling.
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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.