Evidence map›Paper›PMID 42248342›Full record

ArticleDevelopmental biology2026

Signaling and transcriptional networks governing late synovial joint development.

Ji-Hye Yea, Qin Bian, Yu-Hao Cheng, Emily Y Su, Yuqi Tan, Dong Won Kim, Hong Wang, Sooyeon Yoo, Seth Blackshaw, Patrick Cahan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Developmental biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ji-Hye YeaInstitute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA; Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
Qin BianInstitute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA; Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
Yu-Hao ChengInstitute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA; Department of Molecular Biology and Genetics, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
Emily Y SuInstitute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA; Department of Molecular Biology and Genetics, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
Yuqi TanInstitute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA; Department of Molecular Biology and Genetics, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
Dong Won KimSolomon H. Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
Hong WangSolomon H. Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
Sooyeon YooSolomon H. Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
Seth BlackshawInstitute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA; Solomon H. Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA.
Patrick CahanInstitute for Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA; Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA; Department of Molecular Biology and Genetics, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA. Electronic address: patrick.cahan@jhmi.edu.

Funding

From intra to intercellular regulatory networks that define cell type identityR35GM124725 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Patrick Cahan · 2017 to 2026
$4.5M
NIGMS NIH HHS R35 GM124725
6 · The paper itself

Abstract

Synovial joints are complex organs composed of specialized tissues whose coordinated formation is essential for proper joint function. The cellular composition and regulatory programs governing late synovial joint development are less well characterized as compared to earlier stages of joint development. Here, we generated single-cell transcriptomic data of Growth differentiation factor 5 (Gdf5)-lineage cells from the embryonic mouse knee joint at embryonic day 17.5 and integrated these data with those from earlier developmental stages to infer transcriptional state progression across joint development. We identified nine distinct Gdf5-lineage populations corresponding to major joint tissues, including articular chondrocytes, superficial lining cells, ligament-tenogenic progenitors, synovial fibroblasts, and progenitor populations, and we validated their localization within the embryonic joint. We found a meniscus-associated progenitor state characterized by low expression of canonical chondrocyte markers and high expression of pleiotrophin (Ptn), distinguishing it from conventional articular chondrocytes. In addition, we found that Col22a1 and tetraspanin 15 (Tspan15) mark a transcriptionally and spatially distinct superficial lining cell population. To identify potential regulatory mechanisms underlying articular chondrocyte development, we reconstructed dynamic gene regulatory networks along the progenitor-to-chondrocyte trajectory, revealing a transition from a common regulatory state to cell type-specific regulatory program at later stages. In summary, our study provides data that improves our understanding of the developmental transcriptional programs that contribute to the major tissues of the synovial joint.

Indexed as

Gene Regulatory NetworksKnee JointSignal TransductionSynovial MembraneAnimalsCartilage, ArticularCell LineageChondrocytesGene Expression Regulation, DevelopmentalGrowth Differentiation Factor 5MiceGdf5 protein, mouseGrowth Differentiation Factor 5Articular cartilageChondrocyteLigamentSynovial jointSynovium

Identifiers

PMID42248342
PMCPMC13371170

What Socratic holds

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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 Socratic graph.