Evidence map›Paper›PMID 34188780›Full record

ReviewComputational and structural biotechnology journal2021

Strategies for mitochondrial gene editing.

Xingbo Yang, Jiacheng Jiang, Zongyu Li, Jiayi Liang, Yaozu Xiang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
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  5. Exogenous expression of ATP8, a mitochondrial encoded protein, from the nucleusMolecular therapy. Methods & clinical development · 2024
    Article
  6. Review
  7. Review
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  9. Article
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  11. Review
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  14. The landscape of CRISPR/Cas9 for inborn errors of metabolism.Molecular genetics and metabolism · 2023
    Review
  15. Article
  16. Review
  17. Review
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  19. Roles of mitochondria in neutrophils.Frontiers in immunology · 2022
    Review
  20. Review
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

5 authors.

Xingbo YangSchool of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
Jiacheng JiangSchool of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
Zongyu LiSchool of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
Jiayi LiangSchool of Mathematics and Statistics, University of Glasgow, Glasgow G12 8QQ, United Kingdom.
Yaozu XiangSchool of Life Sciences and Technology, Tongji University, Shanghai 200092, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondria, as the energy factory of cells, participate in metabolism processes and play a critical role in the maintenance of human life activities. Mitochondria belong to semi-automatic organelles, which have their own genome different from nuclear genome. Mitochondrial DNA (mtDNA) mutations can cause a series of diseases and threaten human health. However, an effective approach to edit mitochondrial DNA, though long-desired, is lacking. In recent years, gene editing technologies, represented by restriction endonucleases (RE) technology, zinc finger nuclease (ZFN) technology, transcription activator-like effector nuclease (TALEN) technology, CRISPR system and pAgo-based system have been comprehensively explored, but the application of these technologies in mitochondrial gene editing is still to be explored and optimized. The present study highlights the progress and limitations of current mitochondrial gene editing technologies and approaches, and provides insights for development of novel strategies for future attempts.

Indexed as

Gene editingMitochondriamtDNA

Identifiers

PMID34188780
PMCPMC8202187

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.