ArticleCommunications biology2022
Single-cell transcriptome analysis reveals cellular heterogeneity in mouse intra- and extra articular ligaments.
Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Ectomesenchyme contributes to epidermal stem cell formation through mesenchymal-to-epithelial transition.Nature communications · 2026Article
- Biglycan Reconstitutes a Neonatal ECM Signaling Microenvironment to Drive Stem Cell-Mediated Tendon Regeneration via a Scaffold-Free Cell Sheet Platform.International journal of molecular sciences · 2026Article
- Sex-Based Differences in Cell Types and Gene Expression within the Anterior Cruciate Ligament.The Journal of bone and joint surgery. American volume · 2026Article
- Sema3dInternational journal of biological sciences · 2026Article
- Article
- Inflammatory factors released by ACL reconstruction tendon grafts and their potential for macrophage polarization.Scientific reports · 2025Article
- Comparative Single-Cell Analysis Reveals Tendon Progenitor Dysfunction by Age-Associated Oxidative Stress and Its Restoration by Antioxidant Treatments.Journal of cellular physiology · 2025Article
- High-mobility group box 1 fragment ameliorates chronic pancreatitis induced by caerulein in mice.Journal of gastroenterology · 2024Article
- Article
- Decoding the transcriptomic expression and genomic methylation patterns in the tendon proper and its peritenon region in the aging horse.BMC research notes · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ligaments are collagenous connective tissues that connect bones. Injury of knee ligaments, namely anterior cruciate ligament (ACL) and medial collateral ligament (MCL), is common in athletes. Both ligaments have important functions, but distinct regeneration capacities. The capacity for recovery after injury also diminishes with age. However, cellular heterogeneity in the ligaments remains unclear. Here, we profiled the transcriptional signatures of ACL and MCL cells in mice using single-cell RNA sequencing. These ligaments comprise three fibroblast types expressing Col22a1, Col12a1, or Col14a1, but have distinct localizations in the tissue. We found substantial heterogeneity in Col12a1- and Col14a1-positive cells between ACL and MCL. Gene Ontology analysis revealed that angiogenesis- and collagen regulation-related genes were specifically enriched in MCL cells. Furthermore, we identified age-related changes in cell composition and gene expression in the ligaments. This study delineates cellular heterogeneity in ligaments, serving as a foundation for identifying potential therapeutic targets for ligament injuries.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.