Evidence map›Paper›PMID 40068680›Full record

ArticleCell2025

Engineering mtDNA deletions by reconstituting end joining in human mitochondria.

Yi Fu, Max Land, Tamar Kavlashvili, Ruobing Cui, Minsoo Kim, Emily DeBitetto, Toby Lieber, Keun Woo Ryu, Elim Choi, Ignas Masilionis and 11 more

Abstract read
In one paragraph

Article in Cell, 2025. 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. Review
  2. Hypertensive mt. tRNARedox biology · 2026
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Yi FuMolecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Max LandComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Tamar KavlashviliMolecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ruobing CuiCancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Minsoo KimComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Emily DeBitettoMolecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Toby LieberMolecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Keun Woo RyuCancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Elim ChoiMolecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ignas MasilionisComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Rahul SahaComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Meril TakizawaComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Daphne BakerCancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Marco TiganoDepartment of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, PA, USA.
Caleb A LareauComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ed ReznikComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Roshan SharmaComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ronan ChaligneComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Craig B ThompsonCancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Dana Pe'erComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Howard Hughes Medical Institute, New York, NY, USA.
Agnel SfeirMolecular Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: sfeira@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Exploring the Role of Nitrogen Metabolism in CancerR35CA283988 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CRAIG B THOMPSON · 2023 to 2026
$4.1M
From mtDNA stress to cellular immunity: Triggers, Mechanisms and EffectorsR35GM147191 · NIGMS · THOMAS JEFFERSON UNIVERSITY · PI Marco Tigano · 2022 to 2026
$2.2M
Investigating the impact and dynamic of mitochondrial common deletion in somatic cellsR01AG085782 · NIA · SLOAN-KETTERING INST CAN RESEARCH · PI Agnel Sfeir · 2023 to 2026
$2.2M
NCI NIH HHS P30 CA008748NCI NIH HHS R35 CA283988NIA NIH HHS R01 AG085782NIGMS NIH HHS R35 GM147191
6 · The paper itself

Abstract

Recent breakthroughs in the genetic manipulation of mitochondrial DNA (mtDNA) have enabled precise base substitutions and the efficient elimination of genomes carrying pathogenic mutations. However, reconstituting mtDNA deletions linked to mitochondrial myopathies remains challenging. Here, we engineered mtDNA deletions in human cells by co-expressing end-joining (EJ) machinery and targeted endonucleases. Using mitochondrial EJ (mito-EJ) and mito-ScaI, we generated a panel of clonal cell lines harboring a ∼3.5 kb mtDNA deletion across the full spectrum of heteroplasmy. Investigating these cells revealed a critical threshold of ∼75% deleted genomes, beyond which oxidative phosphorylation (OXPHOS) protein depletion, metabolic disruption, and impaired growth in galactose-containing media were observed. Single-cell multiomic profiling identified two distinct nuclear gene deregulation responses: one triggered at the deletion threshold and another progressively responding to heteroplasmy. Ultimately, we show that our method enables the modeling of disease-associated mtDNA deletions across cell types and could inform the development of targeted therapies.

Indexed as

DNA End-Joining RepairDNA, MitochondrialGenetic EngineeringMitochondriaSequence DeletionCell LineHeteroplasmyHumansMitochondrial MyopathiesOxidative PhosphorylationDNA, MitochondrialDOGMA-seqend joiningmitochondrial pathologiesmtDNAmtDNA deletion

Identifiers

PMID40068680
PMCPMC12085298

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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.