ReviewQuantitative biology (Beijing, China)2025
Cell lineage tracing: Methods, applications, and challenges.
Review in Quantitative biology (Beijing, China), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- The development of single-cell lineage tracing technology and its application in immunotherapy.Molecular therapy. Advances · 2026Review
- Data-intensive immune network modelling for One Health.Briefings in bioinformatics · 2026Review
- Review
- Olfactory epithelium regeneration and homeostasis: cellular and molecular mechanisms and novel methodological advances.Cell regeneration (London, England) · 2026Review
- Harnessing Cancer Stem Cells and 3D Organoids in Unravelling Spatial and Cellular Heterogeneity in Cancer.International journal of molecular sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell lineage tracing is a crucial technique for understanding cell fate and lineage relationships, with wide applications in developmental biology, tissue regeneration, and disease progression studies. Over the years, experimental cell lineage tracing methods have advanced from early labeling techniques to modern genetic tools such as CRISPR-Cas9-based barcoding, whereas computational methods have emerged to analyze high-dimensional data from single-cell sequencing and other omics technologies. This paper reviews both experimental and computational methods, highlighting their respective strengths, limitations, and synergies. Experimental techniques focus on labeling and tracking cells, whereas computational approaches reconstruct lineage relationships and model cellular dynamics. Despite significant progress, challenges remain, including issues with accuracy, resolution, multi-omics integration, and scalability. Future directions involve improvements in experimental techniques and the development of computational methods enhanced by advancements in artificial intelligence. These innovations are expected to drive the field forward, offering potential applications in uncovering the mysteries of life.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.