ReviewNature reviews. Genetics2026
Charting single-cell lineages with synthetic and natural barcodes.
Review in Nature reviews. Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- The Sleeping Giant: Metabolism and Autophagy in the Generation and Survival of Dormant Polyploid Giant Cancer Cells.MedComm · 2026Review
- Computational approaches for multimodal lineage tracing.Nature reviews. Genetics · 2026Review
- Fate Bifurcation of Cellular Senescence: Dynamic Regulation from Tumor Suppression to Recurrence Risk.Cells · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Across our lifespan, cells divide and differentiate to create the functional units of all organs, yet with age and cancer a small number of cellular families (clones) will rule the fate of the organism. Advances in synthetic and natural barcoding methods now enable cellular ancestries to be reconstructed with unprecedented single-cell resolution. These single-cell lineage-tracing studies are leading to a re-evaluation of long-standing paradigms in development, ageing and cancer biology and are revealing the underpinnings of phenotypic heterogeneity for various cellular functions, including regeneration and stress responses. Despite remaining methodological challenges, progress continues towards multimodal tracing methods that combine spatial, genetic, epigenetic and transcriptomic information. The future transition of clonal analysis into the clinic may eventually help detect, predict and prevent disease progression.
Indexed as
Identifiers
41760925What 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.