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biorxiv2026-08-21mtDNAaging

Low-heteroplasmy mitochondrial DNA mutations improve clonal reconstruction of human cells

Scientific focus: mtDNA, aging. Core claim (from abstract): Somatic mitochondrial DNA (mtDNA) mutations act as endogenous single-cell barcodes measurable alongside cell-state profiles, but lineage tracing has traditionally focused on high-heteroplasmy variants, which are easier to detect but few and potentially shaped by selection. Dysfunction linkage: mtDNA; disease context; aging. High priority for readers tracking mitochondrial pathophysiology and translational mito biology.

Mito.news · at a glance

Signal profile (abstract-level)

mtDNA · aging

Score 76/100BIORXIVmedium confidencemtDNA
76
Importance
60
Mito signal
67
Dysfunction
75
Evidence
30
Translational

Editorial signal profile from the abstract (importance score, mito keywords, dysfunction tags, evidence density, translational cues). Not a figure reproduced from the preprint PDF.

Verdict. Somatic mitochondrial DNA (mtDNA) mutations act as endogenous single-cell barcodes measurable alongside cell-state profiles, but lineage tracing has traditionally focused on high-heteroplasmy variants, which are easier to detect but few and potentially shaped by selection. It intersects mitochondrial stress/dysfunction themes (mtDNA; disease context; aging).

What the authors report

Reconstructing clonal relationships among human cells is fundamental to understanding development, aging, and disease. Whether the more abundant lower-heteroplasmy variants encode bona fide lineage information has not been tested against an independent clonal reference.

Key results stated in the abstract include the following. Somatic mitochondrial DNA (mtDNA) mutations act as endogenous single-cell barcodes measurable alongside cell-state profiles, but lineage tracing has traditionally focused on high-heteroplasmy variants, which are easier to detect but few and potentially shaped by selection. Using lentiviral barcoding of human hematopoietic cells to establish ground-truth clone identities, we show that after stringent molecule-level error filtering, mutation calls below 10% per-cell heteroplasmy account for roughly half of all lineage-informative calls. Retaining the full heteroplasmy spectrum approximately doubled the clonal-assignment area under the precision-recall curve relative to a >10% cutoff, and single-molecule-supported calls improved recovery when retained collectively.

Why it matters for mitochondrial biology

Within mitochondrial research, this work maps primarily to mtDNA, aging. It is relevant to mitochondrial dysfunction discourse because the abstract invokes mtDNA, disease context, aging. That does not by itself establish a validated disease mechanism; it indicates thematic proximity. Server: biorxiv. Posted 2026-08-21. Synthesis confidence is bounded by abstract completeness.

Study design (abstract-level)

The abstract does not cleanly separate methods from results. Treat design details as incomplete until the full preprint is inspected.

Principal findings

  1. Somatic mitochondrial DNA (mtDNA) mutations act as endogenous single-cell barcodes measurable alongside cell-state profiles, but lineage tracing has traditionally focused on high-heteroplasmy variants, which are easier to detect but few and potentially shaped by selection.
  2. Using lentiviral barcoding of human hematopoietic cells to establish ground-truth clone identities, we show that after stringent molecule-level error filtering, mutation calls below 10% per-cell heteroplasmy account for roughly half of all lineage-informative calls.
  3. Retaining the full heteroplasmy spectrum approximately doubled the clonal-assignment area under the precision-recall curve relative to a >10% cutoff, and single-molecule-supported calls improved recovery when retained collectively.
  4. These findings establish lower-heteroplasmy mtDNA mutations as an abundant, bona fide record of clonal history, substantially expanding the clonal resolution attainable in human tissues without genetic engineering.

Limitations of this brief

  • This Mitos brief is an abstract-level synthesis of a preprint; it is not peer review and not a substitute for reading the full paper.
  • Preprint status: findings may change with revision or journal review.
  • Effect sizes, n numbers, statistics, and full experimental controls are typically incomplete at abstract resolution.
  • Comparator/control language is weak or absent in the abstract, limiting causal inference from this brief alone.
  • Primary source: biorxiv DOI 10.64898/2026.08.17.745291 (posted 2026-08-21).

Open scientific questions

  • Which specific experimental panels in the full paper establish the strongest causal claim, and how robust are the controls?
  • Are mtDNA copy-number or mutation effects measured directly, or inferred from downstream phenotypes?
  • How do these findings sit relative to prior literature on the same pathway—replication, contradiction, or incremental extension?

Bottom line

For mitochondrial biologists focused on mtDNA, aging, this preprint is worth full-text review soon. Abstract-level takeaway: Somatic mitochondrial DNA (mtDNA) mutations act as endogenous single-cell barcodes measurable alongside cell-state profiles, but lineage tracing has traditionally focused on high-heteroplasmy variants, which are easier to detect but few and potentially shaped by selection. Confirm methods, effect sizes, and controls in the full PDF before citing the result as established.

Bibliographic record

FieldValue
TitleLow-heteroplasmy mitochondrial DNA mutations improve clonal reconstruction of human cells
DOI10.64898/2026.08.17.745291
Serverbiorxiv
Posted2026-08-21
TopicsmtDNA, aging
Mitos score76/100
Confidencemedium
HTMLhttps://www.biorxiv.org/content/10.64898/2026.08.17.745291
PDFhttps://www.biorxiv.org/content/10.64898/2026.08.17.745291.full.pdf

Abstract-based editorial synthesis by Mitos. Not peer review.

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Source preprint

Low-heteroplasmy mitochondrial DNA mutations improve clonal reconstruction of human cells

10.64898/2026.08.17.745291

weng c, Gao T, Colgan W, Johnson I, Gudera J, Poeschla M, Weissman JS, Sankaran VG.

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