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Lineage-tracing technology for decoding cell evolution in pathophysiology: a bibliometric analysis
Lincheng Zhang1, Xuan Wang2, Shuang Wang1
1Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
Lineage tracing technology is crucial in life sciences, with significant growth in research. Future integration with spatial transcriptomics will enhance cell labeling resolution for developmental biology, regenerative medicine, and cancer research.
Area of Science:
- Life Sciences
- Biotechnology
- Genomics
Background:
- Lineage tracing is a pivotal tool in life sciences.
- Its applications span developmental biology, regenerative medicine, and cancer research.
- A comprehensive bibliometric analysis is needed to map its evolution.
Purpose of the Study:
- To review the current status, hotspots, and trends in lineage tracing technology.
- To provide a systematic knowledge framework for researchers and clinicians.
- To identify key research frontiers and bridge gaps in the literature.
Main Methods:
- Bibliometric analysis of 3252 articles (1979-2024) from Web of Science.
- Utilized VOSviewer, CiteSpace, Bibliometrix, and Pajek for data analysis.
- Quantitative mapping and technological evolution analysis.
Main Results:
- Significant growth in lineage tracing publications over the past decade.
- United States and China are the most prolific countries.
- Analysis revealed technology trajectory in persistence, specificity, and resolution.
Conclusions:
- Lineage tracing technology is rapidly advancing and increasingly utilized across disciplines.
- Integration with spatial transcriptomics is a future trend to enhance resolution.
- This data-driven review offers a systematic framework for understanding lineage tracing evolution and applications.
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