Evidence map›Paper›PMID 36828839›Full record

ReviewBone research2023

Single-cell RNA sequencing in orthopedic research.

Tao Wang, Ling Wang, Liping Zhang, Yubin Long, Yingze Zhang, Zhiyong Hou

Open access · goldAbstract readReview
In one paragraph

Review in Bone research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
13.2field-weighted citation impact, top 1% of its field
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

52 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
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  7. Article
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  9. Article
  10. Review
  11. Article
  12. Transcriptomics in the Study of Bone and Cartilage.Current osteoporosis reports · 2026
    Review
  13. Advances in Spatial Transcriptomics in Bone.Current osteoporosis reports · 2026
    Review
  14. Review
  15. Target Fibroblast-B cell crosstalk via MIF signaling drives pathogenic B cell differentiation and joint damage in knee osteoarthritis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025
    Article
  16. Article
  17. Review
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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

6 authors at 2 institutions in 1 country.

Tao Wang *Department of Orthopedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China.
Ling Wang *Orthopedic Research Institute of Hebei Province, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China.
Liping ZhangDepartment of Physiology, Hebei Medical University, Shijiazhuang, Hebei, PR China.
Yubin LongDepartment of Orthopedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China.
Yingze ZhangDepartment of Orthopedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China.
Zhiyong HouDepartment of Orthopedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China. drzyhou@gmail.com.
Hebei Medical University · CNThird Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although previous RNA sequencing methods have been widely used in orthopedic research and have provided ideas for therapeutic strategies, the specific mechanisms of some orthopedic disorders, including osteoarthritis, lumbar disc herniation, rheumatoid arthritis, fractures, tendon injuries, spinal cord injury, heterotopic ossification, and osteosarcoma, require further elucidation. The emergence of the single-cell RNA sequencing (scRNA-seq) technique has introduced a new era of research on these topics, as this method provides information regarding cellular heterogeneity, new cell subtypes, functions of novel subclusters, potential molecular mechanisms, cell-fate transitions, and cell‒cell interactions that are involved in the development of orthopedic diseases. Here, we summarize the cell subpopulations, genes, and underlying mechanisms involved in the development of orthopedic diseases identified by scRNA-seq, improving our understanding of the pathology of these diseases and providing new insights into therapeutic approaches.

Identifiers

PMID36828839
PMCPMC9958119
OpenAlexW4321787174

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.