ArticleBMC genomics2017
Genes uniquely expressed in human growth plate chondrocytes uncover a distinct regulatory network.
Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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.
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Who cites it
12 citing papers in PubMed, 20 citations in OpenAlex.
- Phosphodiesterase inhibitors as emerging therapeutics for skeletal disorders: A comprehensive review of mechanisms and repurposing potential.Bone reports · 2026Review
- Consistent self-organized emergence of hyaline cartilage in human induced pluripotent stem cell-derived multi-tissue organoids.Stem cells (Dayton, Ohio) · 2025Article
- Synaptically-targeted long non-coding RNA SLAMR promotes structural plasticity by increasing translation and CaMKII activity.Nature communications · 2024Article
- Skeletal growth is enhanced by a shared role for SOX8 and SOX9 in promoting reserve chondrocyte commitment to columnar proliferation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Role of non‑coding RNAs in cartilage endplate (Review).Experimental and therapeutic medicine · 2023Review
- Lineage-specific differences and regulatory networks governing human chondrocyte development.eLife · 2023Article
- Biochemical characteristics of the chondrocyte-enriched SNORC protein and its transcriptional regulation by SOX9.Scientific reports · 2020Article
- Biochemical characteristics of the chondrocyte-enriched SNORC protein and its transcriptional regulation by SOX9.Scientific reports · 2020Article
- Article
- Targeting defective proteostasis in the collagenopathies.Current opinion in chemical biology · 2019Review
- Emerging roles of long noncoding RNA in chondrogenesis, osteogenesis, and osteoarthritis.American journal of translational research · 2019Review
- Computational Modeling and Reverse Engineering to Reveal Dominant Regulatory Interactions Controlling Osteochondral Differentiation: Potential for Regenerative Medicine.Frontiers in bioengineering and biotechnology · 2018Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundChondrogenesis is the earliest stage of skeletal development and is a highly dynamic process, integrating the activities and functions of transcription factors, cell signaling molecules and extracellular matrix proteins. The molecular mechanisms underlying chondrogenesis have been extensively studied and multiple key regulators of this process have been identified. However, a genome-wide overview of the gene regulatory network in chondrogenesis has not been achieved.
resultsIn this study, employing RNA sequencing, we identified 332 protein coding genes and 34 long non-coding RNA (lncRNA) genes that are highly selectively expressed in human fetal growth plate chondrocytes. Among the protein coding genes, 32 genes were associated with 62 distinct human skeletal disorders and 153 genes were associated with skeletal defects in knockout mice, confirming their essential roles in skeletal formation. These gene products formed a comprehensive physical interaction network and participated in multiple cellular processes regulating skeletal development. The data also revealed 34 transcription factors and 11,334 distal enhancers that were uniquely active in chondrocytes, functioning as transcriptional regulators for the cartilage-selective genes.
conclusionsOur findings revealed a complex gene regulatory network controlling skeletal development whereby transcription factors, enhancers and lncRNAs participate in chondrogenesis by transcriptional regulation of key genes. Additionally, the cartilage-selective genes represent candidate genes for unsolved human skeletal disorders.
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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.