Back

WITHDRAWN: NanoDel: a long-read sequencing pipeline for identifying large-scale mitochondrial DNA deletions validated in patient samples clinically diagnosed with mitochondrial disease and evaluated in glioblastoma.

Fearn, C.; Oliva, C.; Griguer, C.; Poulton, J.; Fratter, C.; McGeehan, J.; Baldock, R.; Robson, S.; McGeehan, R.

2025-09-30 bioinformatics
10.1101/2025.09.19.677263 bioRxiv
Show abstract

MotivationTraditional methods for detecting large-scale mitochondrial DNA (mtDNA) deletions (LSMDs) in cells present challenges, i.e. a priori information, high DNA inputs, poor sensitivity and are not always quantitative. Mitigation can be achieved through high throughput DNA sequencing using e.g. Illumina and Oxford Nanopore Technologies (ONT), in combination with LSMD breakpoint identification and quantification using bioinformatic tools. Splice-aware RNA alignment tools increase the sensitivity for detecting LSMD breakpoints compared with DNA aligners. Long-read sequencing (LRS) also offers potential advantages over short read sequencing, e.g. greater read lengths and capturing variants on single reads. No existing pipelines capture the benefits of both a splice-aware alignment tool and LRS. ResultsWe developed "NanoDel", a LRS pipeline, to sensitively and accurately detect cellular LSMDs. Using artificial datasets, "NanoDel" was more sensitive and accurate than other pipelines. In samples diagnosed with mitochondrial disease, it identified both known and previously uncharacterised (including mixtures) of LSMDs, without a priori information. LSMD breakpoints were found in mt-co1, mt-cyb, mt-nd6 and mt-nd5 genes. Analysis of selected LSMDs revealed proximity to repeat and putative G-quadruplex motifs, and occurrence in a range of healthy and pathological tissues, indicating potential for a shared vulnerability landscape in mtDNA, shaped by sequence motifs and structural constraints. "NanoDel" combined with one-amplicon, not two-amplicon, LR-PCR offers a robust strategy with clinical application for detecting LSMDs across a variety of cell/tissue samples, and its application across a broader range of samples, will yield new mechanistic insights into LSMD formation, and further our understanding of mtDNA instability.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Bioinformatics
1061 papers in training set
Top 1%
22.6%
2
BMC Bioinformatics
383 papers in training set
Top 0.8%
10.5%
3
NAR Genomics and Bioinformatics
214 papers in training set
Top 0.2%
6.4%
4
Mitochondrion
11 papers in training set
Top 0.1%
4.9%
5
NAR Molecular Medicine
18 papers in training set
Top 0.1%
4.9%
6
Bioinformatics Advances
184 papers in training set
Top 0.9%
4.2%
50% of probability mass above
7
Nature Communications
4913 papers in training set
Top 42%
3.1%
8
Genome Medicine
154 papers in training set
Top 3%
2.1%
9
Scientific Reports
3102 papers in training set
Top 55%
1.8%
10
BMC Genomics
328 papers in training set
Top 2%
1.8%
11
Clinical Chemistry
22 papers in training set
Top 0.3%
1.8%
12
Briefings in Bioinformatics
326 papers in training set
Top 4%
1.7%
13
Med
38 papers in training set
Top 0.3%
1.7%
14
Nucleic Acids Research
1128 papers in training set
Top 11%
1.7%
15
International Journal of Molecular Sciences
453 papers in training set
Top 9%
1.5%
16
PLOS ONE
4510 papers in training set
Top 57%
1.5%
17
Molecular Therapy Nucleic Acids
32 papers in training set
Top 0.4%
1.3%
18
Frontiers in Molecular Biosciences
100 papers in training set
Top 2%
1.3%
19
Molecular Therapy - Nucleic Acids
24 papers in training set
Top 0.2%
1.3%
20
The Journal of Molecular Diagnostics
36 papers in training set
Top 0.3%
1.0%
21
Biology Methods and Protocols
53 papers in training set
Top 2%
0.8%
22
Analytical Chemistry
205 papers in training set
Top 2%
0.8%
23
Nature Biotechnology
147 papers in training set
Top 7%
0.8%
24
Frontiers in Bioinformatics
45 papers in training set
Top 0.9%
0.8%
25
Computational and Structural Biotechnology Journal
216 papers in training set
Top 10%
0.7%
26
Cell Reports Medicine
140 papers in training set
Top 8%
0.7%
27
PeerJ
261 papers in training set
Top 16%
0.7%
28
The American Journal of Human Genetics
206 papers in training set
Top 4%
0.6%
29
iScience
1063 papers in training set
Top 37%
0.6%
30
Clinical Infectious Diseases
231 papers in training set
Top 5%
0.6%