Evidence map›Paper›PMID 39080541›Full record

ArticleBMC genomics2024

Comparing methylation levels assayed in GC-rich regions with current and emerging methods.

Dominic Guanzon, Jason P Ross, Chenkai Ma, Oliver Berry, Yi Jin Liew

Erratum issuedAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Dominic GuanzonCSIRO Health & Biosecurity, Westmead, NSW, Australia.
Jason P RossCSIRO Health & Biosecurity, Westmead, NSW, Australia.
Chenkai MaCSIRO Health & Biosecurity, Westmead, NSW, Australia.
Oliver BerryEnvironomics Future Science Platform, CSIRO, Crawley, WA, Australia.
Yi Jin LiewCSIRO Health & Biosecurity, Westmead, NSW, Australia. yijin.liew@csiro.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation is an epigenetic mechanism that regulates gene expression, and for mammals typically occurs on cytosines within CpG dinucleotides. A significant challenge for methylation detection methods is accurately measuring methylation levels within GC-rich regions such as gene promoters, as inaccuracies compromise downstream biological interpretation of the data. To address this challenge, we compared methylation levels assayed using four different Methods Enzymatic Methyl-seq (EM-seq), whole genome bisulphite sequencing (WGBS), Infinium arrays (Illumina MethylationEPIC, "EPIC"), and Oxford Nanopore Technologies nanopore sequencing (ONT) applied to human DNA. Overall, all methods produced comparable and consistent methylation readouts across the human genome. The flexibility offered by current gold standard WGBS in interrogating genome-wide cytosines is surpassed technically by both EM-seq and ONT, as their coverages and methylation readouts are less prone to GC bias. These advantages are tempered by increased laboratory time (EM-seq) and higher complexity (ONT). We further assess the strengths and weaknesses of each method, and provide recommendations in choosing the most appropriate methylation method for specific scientific questions or translational needs.

Indexed as

DNA MethylationCpG IslandsGC Rich SequenceGenome, HumanHigh-Throughput Nucleotide SequencingHumansNanopore SequencingPromoter Regions, GeneticSequence Analysis, DNADNA methylationEM-seqGC-rich lociInfinium arraysONTWGBS

Identifiers

PMID39080541
PMCPMC11289974

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.