{
  "abstract": "Elucidating cell fate decision-making requires linking lineage history to dynamic phenotypic states. Driven by single-cell sequencing and genome engineering, lineage tracing has evolved from observational studies into a multidimensional, high-throughput discipline. Here, we synthesize its three methodological pillars: prospective tracking via genetic markers, high-throughput mapping using synthetic barcodes, and retrospective tracing leveraging endogenous natural variants. We survey their integration with multi-omics and spatial profiling, alongside computational approaches to decode cell fates from lineage data. By detailing each approach's trade-offs, we offer a systematic guide for experimental design and highlight emerging frontiers for translating precision clonal analysis into the clinic.",
  "abstract_shown": true,
  "affiliations": [
    "Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China",
    "CAS CEMCS-CUHK Joint Laboratory, New Cornerstone Science Laboratory, Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China",
    "Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China",
    "Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China; School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; School of Science, Westlake University, Hangzhou 310024, Zhejiang, China; Center for Interdisciplinary Studies, Westlake University, Hangzhou 310024, Zhejiang, China. Electronic address: wangshouwen@westlake.edu.cn"
  ],
  "article_type": "review",
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Zhixin Kang",
      "orcid": "0000-0003-0059-1456"
    },
    {
      "affs": [
        1
      ],
      "name": "Hui Chen"
    },
    {
      "affs": [
        2
      ],
      "name": "Siyang Li"
    },
    {
      "affs": [
        3
      ],
      "name": "Shou‐Wen Wang",
      "orcid": "0000-0003-4569-1194"
    },
    {
      "name": "Bin Zhou",
      "orcid": "0000-0001-5278-5522"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1a23yfq4dytr1.bib",
  "cited_by": 6,
  "doi": "10.1016/j.stem.2026.05.001",
  "fulltext_url": null,
  "id": "1a23yfq4dytr1",
  "issns": [
    "1875-9777",
    "1934-5909"
  ],
  "landing_url": "https://doi.org/10.1016/j.stem.2026.05.001",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "1312|Single-cell and spatial transcriptomics"
    ]
  ],
  "openalex": "W7162786235",
  "pdf_url": null,
  "pmcid": null,
  "pmid": "42214336",
  "published": "2026-05-29",
  "publisher": "Elsevier BV",
  "ris": "https://research.draconitic.com/paper/1a23yfq4dytr1.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:26:48Z",
      "native_id": "W7162786235",
      "source": "openalex",
      "url": "https://doi.org/10.1016/j.stem.2026.05.001"
    }
  ],
  "subjects": [
    {
      "field": "biochemistry",
      "origin": "openalex:1312|Single-cell and spatial transcriptomics",
      "subfield": "molecular-biology"
    }
  ],
  "title": "Evolving strategies for lineage tracing: Genetic markers, synthetic barcodes, and natural variants",
  "title_text": "Evolving strategies for lineage tracing: Genetic markers, synthetic barcodes, and natural variants",
  "type": "peer-reviewed",
  "updated_at": "2026-11-01T13:20:13Z",
  "url": "https://research.draconitic.com/paper/1a23yfq4dytr1",
  "venue": "Cell stem cell",
  "versions": []
}