Evidence map›Paper›PMID 40483363›Full record

ArticleCommunications biology2025

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

Hanning Wang, Xuan He, Mingjie Ma, Tianxu Dou, Yulong Wei, Danielle Rux, Ling Qin, Yan Yang, Yue Zhu, Lutian Yao

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Review
  2. Review
  3. Artificial intelligence virtual bone organoids (AIVBOs).Journal of orthopaedic translation · 2026
    Review
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  5. Review
  6. Article
  7. Article
  8. Review
  9. Stage-resolved geography of mouse skeletal stem cells.Journal of bone and mineral metabolism · 2026
    Review
  10. Review
  11. Review
  12. Advances in Spatial Transcriptomics in Bone.Current osteoporosis reports · 2026
    Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
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  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hanning Wang *Department of Orthopaedics, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, China.
Xuan He *Department of Orthopaedics, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, China.
Mingjie Ma *Department of Orthopaedics, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, China.
Tianxu Dou *Department of Sports Medicine, Shenyang Orthopedic Hospital, Shenyang, Liaoning, 110044, China.
Yulong WeiDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Danielle RuxDepartment of Orthopaedic Surgery, UConn Musculoskeletal Institute, UConn Health, Farmington, CT, 06030, USA.
Ling QinDepartment of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Yan YangDepartment of Orthopaedics, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, China. yangyan_doctor@163.com.ORCID http://orcid.org/0009-0008-1257-0218
Yue ZhuDepartment of Orthopaedics, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, China. zhuyuedr@163.com.
Lutian YaoDepartment of Orthopaedics, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, China. ltyao@cmu.edu.cn.ORCID http://orcid.org/0000-0002-0652-2075

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82472433
6 · The paper itself

Abstract

Bone fracture healing is a dynamic process that relies on coordinated cellular interactions for effective tissue regeneration. We employ optimized spatial transcriptomics to delineate the locations and interactions of the involved cell types within a mouse femur fracture model on Day 0 before fracture and at Days 5 and 15 postfracture. We improve RNA quality significantly by optimizing our decalcification method using Morse's solution, coupled with the use of the Visium CytAssist platform and integrated analyses through the Seurat, CARD, and Monocle packages. This approach allows us to accurately localize critical cell populations, such as periosteum progenitor cells, and identify pivotal transcription factors that regulate their activation and differentiation into chondrocytes or osteogenic cells. We particularly focus on the transformation from mesenchymal progenitor cells (MPCs) to regenerative MPCs (rMPCs), revealing how these cells recruit macrophages near the fracture line during early healing stages and their involvement in fracture healing. Furthermore, using CellChat, we explore potential receptor‒ligand pathways that mediate these cellular interactions. The spatial-temporal mapping and molecular characterization performed in this study substantially deepen our understanding of the cellular and molecular processes involved in fracture healing, highlighting spatial transcriptomics as a robust approach for elucidating the mechanisms governing bone regeneration.

Indexed as

Femoral FracturesFracture HealingSingle-Cell AnalysisTranscriptomeAnimalsGene Expression ProfilingMaleMesenchymal Stem CellsMiceMice, Inbred C57BLOsteogenesis

Identifiers

PMID40483363
PMCPMC12145418

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Registered trials

None linked

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.