Evidence map›Paper›PMID 39103491›Full record

ArticleThe EMBO journal2024

Real-time assessment of mitochondrial DNA heteroplasmy dynamics at the single-cell level.

Rodaria Roussou, Dirk Metzler, Francesco Padovani, Felix Thoma, Rebecca Schwarz, Boris Shraiman, Kurt M Schmoller, Christof Osman

Abstract read
In one paragraph

Article in The EMBO journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
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  11. Review
  12. Mitochondrial curation for the next generation.Current opinion in genetics & development · 2025
    Review
  13. Article
  14. Review
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Rodaria RoussouFaculty of Biology, Ludwig-Maximilians-Universität München, 82152, Planegg-Martinsried, Germany.
Dirk MetzlerFaculty of Biology, Ludwig-Maximilians-Universität München, 82152, Planegg-Martinsried, Germany.ORCID http://orcid.org/0000-0003-1027-135X
Francesco PadovaniInstitute of Functional Epigenetics, Molecular Targets and Therapeutics Center, Helmholtz Zentrum München, 85764, Neuherberg, Germany.ORCID http://orcid.org/0000-0003-2540-8240
Felix ThomaFaculty of Biology, Ludwig-Maximilians-Universität München, 82152, Planegg-Martinsried, Germany.ORCID http://orcid.org/0000-0002-0227-8079
Rebecca SchwarzFaculty of Biology, Ludwig-Maximilians-Universität München, 82152, Planegg-Martinsried, Germany.
Boris ShraimanKavli Institute for Theoretical Physics, University of California, 93106, Santa Barbara, CA, USA.
Kurt M SchmollerInstitute of Functional Epigenetics, Molecular Targets and Therapeutics Center, Helmholtz Zentrum München, 85764, Neuherberg, Germany.ORCID http://orcid.org/0000-0001-5790-5204
Christof OsmanFaculty of Biology, Ludwig-Maximilians-Universität München, 82152, Planegg-Martinsried, Germany. osman@bio.lmu.de.ORCID http://orcid.org/0000-0002-1892-0222

Funding

Deutsche Forschungsgemeinschaft (DFG) HO 7333/1EC | ERC | HORIZON EUROPE European Research Council (ERC) ERCStG-714739 IlluMitoDNAHuman Frontier Science Program (HFSP) RGP021/2023
6 · The paper itself

Abstract

Mitochondrial DNA (mtDNA) is present in multiple copies within cells and is required for mitochondrial ATP generation. Even within individual cells, mtDNA copies can differ in their sequence, a state known as heteroplasmy. The principles underlying dynamic changes in the degree of heteroplasmy remain incompletely understood, due to the inability to monitor this phenomenon in real time. Here, we employ mtDNA-based fluorescent markers, microfluidics, and automated cell tracking, to follow mtDNA variants in live heteroplasmic yeast populations at the single-cell level. This approach, in combination with direct mtDNA tracking and data-driven mathematical modeling reveals asymmetric partitioning of mtDNA copies during cell division, as well as limited mitochondrial fusion and fission frequencies, as critical driving forces for mtDNA variant segregation. Given that our approach also facilitates assessment of segregation between intact and mutant mtDNA, we anticipate that it will be instrumental in elucidating the mechanisms underlying the purifying selection of mtDNA.

Indexed as

DNA, MitochondrialSaccharomyces cerevisiaeSingle-Cell AnalysisHeteroplasmyMicrofluidicsMitochondriaMitochondrial DynamicsDNA, MitochondrialHeteroplasmyMathematical ModelingMitochondriaMitochondrial FissionmtDNA

Identifiers

PMID39103491
PMCPMC11574196

What OpenQuestion holds

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Registered trials

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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.