{
  "abstract": "RNA editing is a widespread post-transcriptional modification involved in transcriptome diversity and disease regulation. However, its quantification remains technically challenging. We present OmniRE-seq, a dual-framework combining RE-seq for bulk and scRE-seq for single-cell RNA-seq data, enabling multi-level quantification, differential analysis, and functional annotation of RNA editing. Using RE-seq, we profile editing alterations across diverse contexts -- including murine sepsis, MDS, drug-treated melanoma, and colorectal cancer -- demonstrating the utility of locus-, gene-, and burden-level metrics in capturing biologically meaningful differences. scRE-seq further resolves cell-type-specific editing patterns by aggregating cells of shared identity into pseudo-bulk units (Spots), enhancing editing signal while preserving cellular resolution in colorectal cancer. Integrated bulk and single-cell analysis identified convergent editing signals and therapeutic targets, exemplified in a mouse model of thymic atrophy treated with Ganoderma lucidum spores. Together, OmniRE-seq offers a standardized and scalable toolkit for dissecting RNA editing landscapes across resolution levels, advancing both mechanistic discovery and translational application in precision medicine.",
  "abstract_shown": true,
  "affiliations": [
    "Institute of Bioengineering, Biotrans Technology Co."
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "name": "Y. Hang"
    },
    {
      "name": "H. Liu"
    },
    {
      "name": "W. Li"
    },
    {
      "name": "P. Liu"
    },
    {
      "name": "J. Yang"
    },
    {
      "affs": [
        0
      ],
      "name": "Y. Zhao"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5mrzj1ds1dtns.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.10.22.760919",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.10.22.760919v1.full",
  "id": "5mrzj1ds1dtns",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.10.22.760919v1",
  "language": null,
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "bioinformatics"
    ],
    [
      "openalex",
      "1312|RNA regulation and disease"
    ]
  ],
  "openalex": "W7223397349",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.10.22.760919v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-22",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/5mrzj1ds1dtns.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:29:20Z",
      "native_id": "10.64898/2026.10.22.760919",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.10.22.760919v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:bioinformatics",
      "subfield": "bioinformatics"
    }
  ],
  "title": "OmniRE-seq: A Dual-Method Framework for Decoding RNA Editing Dynamics in Disease and Therapy",
  "title_text": "OmniRE-seq: A Dual-Method Framework for Decoding RNA Editing Dynamics in Disease and Therapy",
  "type": "preprint",
  "updated_at": "2026-10-30T12:29:20Z",
  "url": "https://research.draconitic.com/paper/5mrzj1ds1dtns",
  "venue": "bioRxiv",
  "versions": []
}