Evidence map›Paper›PMID 24910436›Full record

ArticleCell reports2014

MtDNA segregation in heteroplasmic tissues is common in vivo and modulated by haplotype differences and developmental stage.

Joerg Patrick Burgstaller, Iain G Johnston, Nick S Jones, Jana Albrechtová, Thomas Kolbe, Claus Vogl, Andreas Futschik, Corina Mayrhofer, Dieter Klein, Sonja Sabitzer and 7 more

Abstract read
In one paragraph

Article in Cell reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

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  17. Cellular mechanisms of mtDNA heteroplasmy dynamics.Critical reviews in biochemistry and molecular biology · 2021
    Review
  18. Article
  19. Article
  20. Review

4 more citing papers are in PubMed but not listed here.

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

17 authors.

Joerg Patrick BurgstallerBiotechnology in Animal Production, Department for Agrobiotechnology, IFA Tulln, 3430 Tulln, Austria.
Iain G JohnstonDepartment of Mathematics, Imperial College London, London SW7 2AZ, United Kingdom.
Nick S JonesDepartment of Mathematics, Imperial College London, London SW7 2AZ, United Kingdom.
Jana AlbrechtováResearch Facility Studenec, Academy of Sciences of the Czech Republic, Květná 8, 60365 Brno, Czech Republic.
Thomas KolbeBiomodels Austria, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
Claus VoglInstitute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
Andreas FutschikDepartment of Statistics, University of Vienna, 1010 Vienna, Austria.
Corina MayrhoferBiotechnology in Animal Production, Department for Agrobiotechnology, IFA Tulln, 3430 Tulln, Austria.
Dieter KleinVetCore Facility for Research, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
Sonja SabitzerVetCore Facility for Research, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
Mirjam BlattnerVetCore Facility for Research, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
Christian GüllyCenter for Medical Research, Medical University of Graz, 8010 Graz, Austria.
Joanna PoultonNuffield Department of Obstetrics and Gynaecology, University of Oxford, Oxford OX3 9DU, United Kingdom.
Thomas RülickeInstitute of Laboratory Animal Science, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
Jaroslav PiálekResearch Facility Studenec, Academy of Sciences of the Czech Republic, Květná 8, 60365 Brno, Czech Republic.
Ralf Steinborn *VetCore Facility for Research, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
Gottfried Brem *Biotechnology in Animal Production, Department for Agrobiotechnology, IFA Tulln, 3430 Tulln, Austria.

Funding

Medical Research Council MR/J010448/1Medical Research Council MR/J013617/1Wellcome Trust 094868
6 · The paper itself

Abstract

The dynamics by which mitochondrial DNA (mtDNA) evolves within organisms are still poorly understood, despite the fact that inheritance and proliferation of mutated mtDNA cause fatal and incurable diseases. When two mtDNA haplotypes are present in a cell, it is usually assumed that segregation (the proliferation of one haplotype over another) is negligible. We challenge this assumption by showing that segregation depends on the genetic distance between haplotypes. We provide evidence by creating four mouse models containing mtDNA haplotype pairs of varying diversity. We find tissue-specific segregation in all models over a wide range of tissues. Key findings are segregation in postmitotic tissues (important for disease models) and segregation covering all developmental stages from prenatal to old age. We identify four dynamic regimes of mtDNA segregation. Our findings suggest potential complications for therapies in human populations: we propose "haplotype matching" as an approach to avoid these issues.

Indexed as

Amino Acid SequenceAnimalsDisease Models, AnimalDNA, MitochondrialHaplotypesHumansMiceModels, GeneticMolecular Sequence DataDNA, Mitochondrial

Identifiers

PMID24910436
PMCPMC4570183

What OpenQuestion holds

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Registered trials

None linked

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.