Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Effects of Age on Intervertebral Disc Tissue Morphology and Gene Expression in the ADAM8-Inactivation Mouse.

Cells·2026
Same author

Residents Face Severe Environmental Health Risks amid the Spiritual Happiness during the Spring Festival: An Evidence from Rural Northern China.

Environment & health (Washington, D.C.)·2026
Same author

Generating high-quality porcine iPSCs with the new medium cocktail LACID.

Stem cell reports·2026
Same author

LLM4FB: A One-Sided CSI Feedback and Prediction Framework for Lightweight UEs via Large Language Models.

Sensors (Basel, Switzerland)·2026
Same author

Humidity-Gated Memristive Dynamics Enabling Near-Sensor Spiking Computation for Wind Direction and Noise-Resilient Speech Recognition.

Advanced materials (Deerfield Beach, Fla.)·2025
Same author

Response to letter regarding iTr35 cells a novel immunoregulatory subset involved in bone loss in rheumatoid arthritis and clinical implications.

Annals of medicine·2025

Related Experiment Video

Updated: Jun 12, 2025

Sequential In vivo Imaging of Osteogenic Stem/Progenitor Cells During Fracture Repair
10:30

Sequential In vivo Imaging of Osteogenic Stem/Progenitor Cells During Fracture Repair

Published on: May 23, 2014

10.5K

Integrating spatial and single-cell transcriptomics to characterize mouse long bone fracture healing process.

Hanning Wang1, Xuan He1, Mingjie Ma1

  • 1Department of Orthopaedics, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, China.

Communications Biology
|June 7, 2025
PubMed
Summary

This study maps cell locations and interactions during bone fracture healing using spatial transcriptomics. It reveals how mesenchymal progenitor cells recruit macrophages, advancing our understanding of bone regeneration mechanisms.

More Related Videos

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
07:43

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

2.6K
Real-Time Imaging of CCL5-Induced Migration of Periosteal Skeletal Stem Cells in Mice
06:10

Real-Time Imaging of CCL5-Induced Migration of Periosteal Skeletal Stem Cells in Mice

Published on: September 16, 2020

2.2K

Related Experiment Videos

Last Updated: Jun 12, 2025

Sequential In vivo Imaging of Osteogenic Stem/Progenitor Cells During Fracture Repair
10:30

Sequential In vivo Imaging of Osteogenic Stem/Progenitor Cells During Fracture Repair

Published on: May 23, 2014

10.5K
Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
07:43

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

2.6K
Real-Time Imaging of CCL5-Induced Migration of Periosteal Skeletal Stem Cells in Mice
06:10

Real-Time Imaging of CCL5-Induced Migration of Periosteal Skeletal Stem Cells in Mice

Published on: September 16, 2020

2.2K

Area of Science:

  • Biomedical Engineering
  • Regenerative Medicine
  • Molecular Biology

Background:

  • Bone fracture healing involves complex cellular interactions for tissue regeneration.
  • Understanding the spatial and temporal dynamics of these cells is crucial for effective bone repair strategies.

Purpose of the Study:

  • To delineate the locations and interactions of cell types during mouse femur fracture healing.
  • To identify key molecular regulators and signaling pathways involved in bone regeneration.
  • To enhance RNA quality for improved spatial transcriptomic analysis.

Main Methods:

  • Optimized decalcification using Morse's solution for improved RNA quality.
  • Spatial transcriptomics with Visium CytAssist platform.
  • Integrated data analysis using Seurat, CARD, and Monocle packages.
  • CellChat analysis for receptor-ligand interactions.

Main Results:

  • Accurate localization of critical cell populations, including periosteum progenitor cells.
  • Identification of transcription factors regulating cell differentiation into chondrocytes and osteogenic cells.
  • Detailed characterization of mesenchymal progenitor cell (MPC) to regenerative MPC (rMPC) transformation.
  • Demonstrated recruitment of macrophages by rMPCs near the fracture line during early healing.
  • Exploration of potential receptor-ligand pathways mediating cellular communication.

Conclusions:

  • Spatial transcriptomics provides a robust method for studying bone regeneration.
  • The study deepens the understanding of cellular and molecular processes in fracture healing.
  • Identified key cell-cell interactions and molecular pathways crucial for effective bone repair.