Evidence map›Paper›PMID 39448697›Full record

ArticleScientific reports2024

Targeted nanopore sequencing using the Flongle device to identify mitochondrial DNA variants.

Shintaro Akamatsu, Satomi Mitsuhashi, Kaima Soga, Heisuke Mizukami, Makoto Shiraishi, Martin C Frith, Yoshihisa Yamano

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

7 authors.

Shintaro AkamatsuDepartment of Neurology, St. Marianna University School of Medicine, Kawasaki, 2168511, Japan.
Satomi MitsuhashiDepartment of Neurology, St. Marianna University School of Medicine, Kawasaki, 2168511, Japan. satomi.mitsuhashi@marianna-u.ac.jp.
Kaima SogaDepartment of Neurology, St. Marianna University School of Medicine, Kawasaki, 2168511, Japan.
Heisuke MizukamiDepartment of Neurology, St. Marianna University School of Medicine, Kawasaki, 2168511, Japan.
Makoto ShiraishiDepartment of Neurology, St. Marianna University School of Medicine, Kawasaki, 2168511, Japan.
Martin C FrithArtificial Intelligence Research Center, AIST, Tokyo, Japan.
Yoshihisa YamanoDepartment of Neurology, St. Marianna University School of Medicine, Kawasaki, 2168511, Japan. yyamano@marianna-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variants in mitochondrial genomes (mtDNA) can cause various neurological and mitochondrial diseases such as mitochondrial myopathy, encephalopathy, lactic acidosis, stroke-like episodes (MELAS). Given the 16 kb length of mtDNA, continuous sequencing is feasible using long-read sequencing (LRS). Herein, we aimed to show a simple and accessible method for comprehensive mtDNA sequencing with potential diagnostic applications for mitochondrial diseases using the compact and affordable LRS flow cell "Flongle." Whole mtDNA amplification (WMA) was performed using genomic DNA samples derived from four patients with mitochondrial diseases, followed by LRS using Flongle. We compared these results to those obtained using Cas9 enrichment. Additionally, the accuracy of heteroplasmy rates was assessed by incorporating mtDNA variants at equimolar levels. Finally, mtDNA from 19 patients with Parkinson's disease (PD) was sequenced using Flongle to identify disease risk-associated variants. mtDNA variants were detected in all four patients with mitochondrial diseases, with results comparable to those obtained from Cas9 enrichment. Heteroplasmy levels were accurately detected (r

Indexed as

DNA, MitochondrialMitochondrial DiseasesNanopore SequencingFemaleGenetic VariationHeteroplasmyHigh-Throughput Nucleotide SequencingHumansMaleParkinson DiseaseSequence Analysis, DNADNA, MitochondrialLong-read DNA sequencingMitochondrial diseaseTargeted sequencing

Identifiers

PMID39448697
PMCPMC11502840

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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.