Evidence map›Paper›PMID 31871141›Full record

ArticleAnnals of the rheumatic diseases2020

Single-cell RNA-seq analysis identifies meniscus progenitors and reveals the progression of meniscus degeneration.

Hao Sun, Xingzhao Wen, Hongyi Li, Peihui Wu, Minghui Gu, Xiaoyi Zhao, Ziji Zhang, Shu Hu, Guping Mao, Ruofan Ma and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Annals of the rheumatic diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed
11.0field-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

90 citing papers in PubMed, 133 citations in OpenAlex.

  1. Article
  2. Identification and characterization of POSTNJournal of orthopaedic translation · 2026
    Article
  3. [Advances in immunomodulatory strategies for meniscal regeneration].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2026
    Review
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30 more citing papers are in PubMed but not listed here.

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

12 authors at 1 institution in 1 country.

Hao Sun *Department of Orthopedics, Sun Yat-Sen Memorial Hospital, Guangzhou, China.ORCID 0000-0001-8829-0468
Xingzhao Wen *Department of Joint Surgery, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.
Hongyi LiDepartment of Joint Surgery, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.
Peihui WuDepartment of Joint Surgery, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.
Minghui GuDepartment of Joint Surgery, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.
Xiaoyi ZhaoDepartment of Joint Surgery, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.
Ziji ZhangDepartment of Joint Surgery, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.
Shu HuDepartment of Joint Surgery, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.
Guping MaoDepartment of Joint Surgery, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.
Ruofan MaDepartment of Orthopedics, Sun Yat-Sen Memorial Hospital, Guangzhou, China.
Weiming LiaoDepartment of Joint Surgery, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China zhzhiqi@mail.sysu.edu.cn liaowmsysu@163.com.
Zhiqi ZhangDepartment of Joint Surgery, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China zhzhiqi@mail.sysu.edu.cn liaowmsysu@163.com.ORCID 0000-0001-9086-2453
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe heterogeneity of meniscus cells and the mechanism of meniscus degeneration is not well understood. Here, single-cell RNA sequencing (scRNA-seq) was used to identify various meniscus cell subsets and investigate the mechanism of meniscus degeneration.

methodsscRNA-seq was used to identify cell subsets and their gene signatures in healthy human and degenerated meniscus cells to determine their differentiation relationships and characterise the diversity within specific cell types. Colony-forming, multi-differentiation assays and a mice meniscus injury model were used to identify meniscus progenitor cells. We investigated the role of degenerated meniscus progenitor (DegP) cell clusters during meniscus degeneration using computational analysis and experimental verification.

resultsWe identified seven clusters in healthy human meniscus, including five empirically defined populations and two novel populations. Pseudotime analysis showed endothelial cells and fibrochondrocyte progenitors (FCP) existed at the pseudospace trajectory start. Melanoma cell adhesion molecule ((MCAM)/CD146) was highly expressed in two clusters. CD146+ meniscus cells differentiated into osteoblasts and adipocytes and formed colonies. We identified changes in the proportions of degenerated meniscus cell clusters and found a cluster specific to degenerative meniscus with progenitor cell characteristics. The reconstruction of four progenitor cell clusters indicated that FCP differentiation into DegP was an aberrant process. Interleukin 1β stimulation in healthy human meniscus cells increased CD318+ cells, while TGFβ1 attenuated the increase in CD318+ cells in degenerated meniscus cells.

conclusionsThe identification of meniscus progenitor cells provided new insights into cell-based meniscus tissue engineering, demonstrating a novel mechanism of meniscus degeneration, which contributes to the development of a novel therapeutic strategy.

Indexed as

AnimalsCell DifferentiationDisease ProgressionEndothelial CellsHumansMeniscusMiceRNA-SeqSequence Analysis, RNASingle-Cell AnalysisStem Cellsarthritiscytokinesfibroblasts

Identifiers

PMID31871141
PMCPMC7034356
OpenAlexW2995891523

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.