ReviewQuantitative biology (Beijing, China)2026
Single-cell mitochondrial lineage tracing: Opportunities and challenges.
Review in Quantitative biology (Beijing, China), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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, 1 synthesis or guideline pooled it.
- Mitochondrial transfer in cancer: a global bibliometric analysis.Frontiers in oncology · 2026Pooled it
- Charting single-cell lineages with synthetic and natural barcodes.Nature reviews. Genetics · 2026Review
- Single-cell mitochondrial lineage tracing: Opportunities and challenges.Quantitative biology (Beijing, China) · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lineage tracing using endogenous mitochondrial DNA (mtDNA) variants holds great promise for reconstructing the lineage histories of individual cells, with broad applications in oncology, developmental biology, and regenerative medicine. Unlike synthetic DNA barcoding techniques, mitochondrial lineage tracing does not require genetic engineering of exogenous genetic markers, and thus is particularly suitable for human clinical samples. Various experimental and computational methods have been developed to profile mtDNA variants from single-cell genomic, transcriptomic, and epigenomic sequencing data. Despite the technical advances, several challenges still limit the robustness of single-cell mitochondrial lineage tracing, such as random genetic drift, genetic bottlenecks, informative variant identification, and low mtDNA coverage. In this review, we systematically examine current experimental and computational approaches for analyzing mtDNA variants in single cells and discuss current challenges and future technical developments aimed at enhancing the robustness and applicability of single-cell mitochondrial lineage tracing.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.