{
  "abstract": "Research on cellular senescence and the senescence-associated secretory phenotype (SASP) draws on independently curated gene resources that differ in scope, identifiers, and update cycles, making cross-resource integration error-prone. We unified four widely used resources, CellAge, GenAge, the SenMayo signature, and the Reactome Cellular Senescence pathway, onto a single canonical identifier (the Ensembl gene ID) and enriched every gene with three annotation layers absent from all four inputs: cross-species conservation, tissue and cell-type expression, and high-confidence protein-protein interactions. Unification collapsed 1,460 summed source entries into 1,250 unique genes (210 redundant entries removed, 14.4%) while preserving full source provenance: 173 genes are corroborated by two or more resources and two (IL6, JUN) by all four. The three annotation layers reach 95.8%, 97.9%, and 93.0% of genes, with 89.4% annotated across all three. A 500-gene random sample of identifier mappings was validated against HGNC and Ensembl (98.0% exact match). The result, SenSASP, is a single, machine-readable, provenance-tracked database of harmonized identifiers and net-new functional context, illustrated here with a gene-prioritization score and a tissue-expression atlas. SenSASP is freely available at https://xuan13hao.github.io/sensasp/",
  "abstract_shown": true,
  "affiliations": [
    "Indiana University"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 3,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "H. Xuan"
    },
    {
      "name": "Y. Huang"
    },
    {
      "name": "J. Bian"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9x4ash28drfr3.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.08.26.747427",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.08.26.747427v2.full",
  "id": "9x4ash28drfr3",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.08.26.747427v2",
  "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",
      "2737|Telomeres, Telomerase, and Senescence"
    ]
  ],
  "openalex": "W7204486233",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.08.26.747427v2.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-08-26",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/9x4ash28drfr3.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:21:29Z",
      "native_id": "10.64898/2026.08.26.747427",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.08.26.747427v2"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:bioinformatics",
      "subfield": "bioinformatics"
    }
  ],
  "title": "SenSASP: A Unified, Multi-Layer Database of Senescence and SASP Genes",
  "title_text": "SenSASP: A Unified, Multi-Layer Database of Senescence and SASP Genes",
  "type": "preprint",
  "updated_at": "2026-10-30T12:21:29Z",
  "url": "https://research.draconitic.com/paper/9x4ash28drfr3",
  "venue": "bioRxiv",
  "versions": []
}