Evidence map›Paper›PMID 32514822›Full record

ArticleCell biology and toxicology2020

How to breakthrough mitochondrial DNA methylation-associated networks.

William Wang, Xiaoxia Liu, Xiangdong Wang

Open access · bronzeAbstract readEditorial
PubMed Publisher
In one paragraph

Article in Cell biology and toxicology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 33% of its field
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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
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  5. Article
  6. Article
  7. Potential biomarkers and targets of mitochondrial dynamics.Clinical and translational medicine · 2021
    Review
  8. 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

3 authors at 2 institutions in 1 country.

William WangZhongshan Hospital Institute for Clinical Science, Shanghai Institute of Clinical Bioinformatics, Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Fudan University, Shanghai, China.
Xiaoxia LiuZhongshan Hospital Institute for Clinical Science, Shanghai Institute of Clinical Bioinformatics, Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-6276-3319
Xiangdong WangZhongshan Hospital Institute for Clinical Science, Shanghai Institute of Clinical Bioinformatics, Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Fudan University, Shanghai, China. xdwang@fuccb.com.
Fudan University · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondrial DNA (mtDNA) plays an important role in regulating mitochondrial homeostasis, transcription, cell metabolism, and drug sensitivity. Patterns and regulations of mtDNA methylation vary among cell types, species, functions, and diseases. High-resolution mtDNA methylation maps of human and animal mitochondrial genomes addressed that the light (L)-strand non-CpG methylation of mtDNA varied among species, developing stages, and ages. Of DNA methyltransferases, DNMT3A was a critical enzyme in the dynamic regulation of mtDNA regional methylation patterns and strand bias. Altered mtDNA methylations may regulate dynamic occurrences of pathogenic mtDNA mutations. The number and sites of control regions, involved enzymes, and regulators during mtDNA methylation may vary among cell types and diseases. Specific regulatory and functional networks associated with mtDNA methylation mainly include mtDNA, regulatory factors, methyltransferases, nucleotides, mt-rRNAs, and other epigenetic modifications. Those carry out precise functions and regulations of mtDNA methylation-associated network, interactions with genome DNA and other signal pathways, and decisive roles in patient phenomes. A breakthrough in mtDNA methylation-associated networks will be a crucial milestone in the journey of understanding mitochondrial function at a higher level and discovering new mitochondria-based biomarkers and therapeutic targets.

Indexed as

DNA MethylationAnimalsDNA, MitochondrialEpigenesis, GeneticGene Regulatory NetworksHumansMitochondriaDNA, MitochondrialEpigeneticsMethylationMitochondriaMitochondrial DNANetworks

Identifiers

PMID32514822
OpenAlexW3033320738

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.