{
  "abstract": "Objective: To identify osteoarthritis (OA) associated transcripts overlapping a predefined N4-acetylcytidine (ac4C) related gene set and evaluate their potential as an exploratory classification signature and basis for expression based clustering. Methods: Five GEO datasets were analyzed using differential expression, functional enrichment, weighted gene co-expression network analysis, immune-signature scoring, machine learning, SHAP interpretation, consensus clustering, and gene set variation analysis. The predefined 2,135-gene set was derived from a published ac4C-RIP-seq comparison between wild-type and NAT10-deficient HeLa cells and was used only for candidate filtering. Twelve algorithms were combined into 113 two-stage feature-selection/classification pipelines, which were ranked by the mean area under the receiver operating characteristic curve (AUC) across the development cohort and two external evaluation cohorts. Five retained genes were assessed by qRT-PCR in IL-1β-treated primary mouse chondrocytes with three biological replicates per group. Results: Among 441 differentially expressed genes, eight overlapped the ac4C related set. Three pipelines shared the highest mean AUC of 0.910. The representative glmBoost–Naive Bayes pipeline achieved AUCs of 0.883 (95% CI, 0.783–0.959), 0.980 (95% CI, 0.880–1.000), and 0.867 (95% CI, 0.600–1.000) in the development cohort, GSE114007, and GSE169077, respectively. Because the two secondary cohorts contributed to pipeline ranking, these estimates represent exploratory evaluation rather than independent validation. Ultimately, five genes were retained, including PCOLCE, KAZALD1, PDE3A, CRIP1, and ID1. Kazald1, Pde3a, Crip1, and Id1 showed nominally significant increases after interleukin-1βtreatment, whereas Pcolce did not. Immune signature differences and the two cluster solution were exploratory. Conclusions: A five gene OA associated transcriptomic signature linked to a predefined ac4C related gene set was identified. These findings are hypothesis generating and do not establish direct ac4C modification, independent clinical validity, or reproducible molecular subtypes.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Orthopedics, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China"
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Tianyang Li"
    },
    {
      "name": "Jinpeng Wei"
    },
    {
      "name": "Hua Wu"
    },
    {
      "name": "Ming Zhang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/0gchd1cq8rmss.bib",
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  "doi": "10.1371/journal.pone.0359336",
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  "id": "0gchd1cq8rmss",
  "issns": [
    "1932-6203"
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  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
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  "native_subjects": [
    [
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      "2745|Osteoarthritis Treatment and Mechanisms"
    ],
    [
      "plos",
      "/Biology and life sciences/Anatomy/Biological tissue/Connective tissue/Cartilage"
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      "plos",
      "/Biology and life sciences/Anatomy/Biological tissue/Connective tissue/Cartilage/Chondrocytes"
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      "/Biology and life sciences/Anatomy/Biological tissue/Connective tissue/Connective tissue cells/Chondrocytes"
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      "/Biology and life sciences/Cell biology/Cellular types/Animal cells/Immune cells"
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      "plos",
      "/Biology and life sciences/Computational biology/Genome analysis/Transcriptome analysis"
    ],
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      "plos",
      "/Biology and life sciences/Genetics/Gene expression"
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      "/Biology and life sciences/Genetics/Gene expression/Gene regulation"
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      "/Biology and life sciences/Genetics/Genomics/Genome analysis/Transcriptome analysis"
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      "plos",
      "/Biology and life sciences/Immunology/Immune cells"
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    [
      "plos",
      "/Medicine and health sciences/Anatomy/Biological tissue/Connective tissue/Cartilage"
    ],
    [
      "plos",
      "/Medicine and health sciences/Anatomy/Biological tissue/Connective tissue/Cartilage/Chondrocytes"
    ],
    [
      "plos",
      "/Medicine and health sciences/Anatomy/Biological tissue/Connective tissue/Connective tissue cells/Chondrocytes"
    ],
    [
      "plos",
      "/Medicine and health sciences/Immunology/Immune cells"
    ],
    [
      "plos",
      "/Medicine and health sciences/Medical conditions/Inflammatory diseases"
    ],
    [
      "plos",
      "/Medicine and health sciences/Rheumatology/Arthritis/Osteoarthritis"
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  "pdf_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0359336&type=printable",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-24",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/0gchd1cq8rmss.ris",
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    {
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  "subjects": [
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      "origin": "plos:anatomy",
      "subfield": "physiology"
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  "title": "Identification of transcriptomic signatures associated with an ac4C related gene set and candidate expression based clusters in osteoarthritis through integrative bioinformatics",
  "title_text": "Identification of transcriptomic signatures associated with an ac4C related gene set and candidate expression based clusters in osteoarthritis through integrative bioinformatics",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:43Z",
  "url": "https://research.draconitic.com/paper/0gchd1cq8rmss",
  "venue": "PLOS One",
  "versions": []
}