Evidence map›Paper›PMID 38741018›Full record

ArticleNature genetics2024

Single-cell mtDNA dynamics in tumors is driven by coregulation of nuclear and mitochondrial genomes.

Minsoo Kim, Alexander N Gorelick, Ignacio Vàzquez-García, Marc J Williams, Sohrab Salehi, Hongyu Shi, Adam C Weiner, Nick Ceglia, Tyler Funnell, Tricia Park and 11 more

Abstract read
In one paragraph

Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Evolution of oncogene amplification across 86,000 cancer cell genomes.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Spectrum and Impact of Mitochondrial DNA Mutations in Ovarian Cancer.International journal of molecular sciences · 2025
    Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

21 authors.

Minsoo KimTri-Institutional PhD Program in Computational Biology & Medicine, Weill Cornell Medicine, New York City, NY, USA.
Alexander N GorelickComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.ORCID http://orcid.org/0000-0001-6736-8246
Ignacio Vàzquez-GarcíaComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.ORCID http://orcid.org/0000-0003-0427-2639
Marc J WilliamsComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.ORCID http://orcid.org/0000-0001-5524-4174
Sohrab SalehiComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.
Hongyu ShiComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.
Adam C WeinerComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.ORCID http://orcid.org/0000-0002-5968-3606
Nick CegliaComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.
Tyler FunnellComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.ORCID http://orcid.org/0000-0003-1612-5644
Tricia ParkComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.ORCID http://orcid.org/0000-0003-4471-004X
Sonia BoscencoComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.
Ciara H O'FlanaganDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.
Hui JiangHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.ORCID http://orcid.org/0000-0003-1869-1607
Diljot GrewalComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.
Cerise TangComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.
Nicole RuskComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.ORCID http://orcid.org/0000-0003-2663-6288
Payam A GammageInstitute of Cancer Sciences, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0003-1968-1726
Andrew McPhersonComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.
Sam AparicioDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.ORCID http://orcid.org/0000-0002-0487-9599
Sohrab P ShahComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA. shahs3@mskcc.org.ORCID http://orcid.org/0000-0001-6402-523X
Ed ReznikComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA. reznike@mskcc.org.ORCID http://orcid.org/0000-0002-6511-5947

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Center for Integrated Cellular Analysis - Valeria A. Sanchez EstradaRM1HG011014 · NHGRI · NEW YORK GENOME CENTER · PI LANDAU, DAN, SATIJA, RAHUL · 2020 to 2025
$22.1M
Defining the function of Complex I truncating mutations in cancerR37CA276200 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Payam Gammage, Eduard Reznik · 2023 to 2026
$2.5M
NCI NIH HHS P30 CA008748NCI NIH HHS R37 CA276200NHGRI NIH HHS RM1 HG011014Susan G. Komen (Susan G. Komen Breast Cancer Foundation) SAC220206U.S. Department of Defense (United States Department of Defense) W81XWH-18-1-0318U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) P30-CA008748U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R37-CA276200U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) RM1-HG011014
6 · The paper itself

Abstract

The extent of cell-to-cell variation in tumor mitochondrial DNA (mtDNA) copy number and genotype, and the phenotypic and evolutionary consequences of such variation, are poorly characterized. Here we use amplification-free single-cell whole-genome sequencing (Direct Library Prep (DLP+)) to simultaneously assay mtDNA copy number and nuclear DNA (nuDNA) in 72,275 single cells derived from immortalized cell lines, patient-derived xenografts and primary human tumors. Cells typically contained thousands of mtDNA copies, but variation in mtDNA copy number was extensive and strongly associated with cell size. Pervasive whole-genome doubling events in nuDNA associated with stoichiometrically balanced adaptations in mtDNA copy number, implying that mtDNA-to-nuDNA ratio, rather than mtDNA copy number itself, mediated downstream phenotypes. Finally, multimodal analysis of DLP+ and single-cell RNA sequencing identified both somatic loss-of-function and germline noncoding variants in mtDNA linked to heteroplasmy-dependent changes in mtDNA copy number and mitochondrial transcription, revealing phenotypic adaptations to disrupted nuclear/mitochondrial balance.

Indexed as

Cell NucleusDNA Copy Number VariationsDNA, MitochondrialGenome, MitochondrialNeoplasmsSingle-Cell AnalysisAnimalsCell Line, TumorHeteroplasmyHumansMiceMitochondriaWhole Genome SequencingDNA, Mitochondrial

Identifiers

PMID38741018
PMCPMC11096122

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.