Evidence map›Paper›PMID 39012606›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Generation of Whole-Genome Bisulfite Sequencing Libraries for Comprehensive DNA Methylome Analysis.

Dulce B Vargas-Landin, Jahnvi Pflüger, Trung Viet Nguyen, Ryan Lister

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Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Dulce B Vargas-LandinAustralian Research Council Centres of Excellence in Plant Energy Biology and Plants for Space, School of Molecular Sciences, The University of Western Australia, Crawley, WA, Australia.
Jahnvi PflügerAustralian Research Council Centres of Excellence in Plant Energy Biology and Plants for Space, School of Molecular Sciences, The University of Western Australia, Crawley, WA, Australia.
Trung Viet NguyenAustralian Research Council Centres of Excellence in Plant Energy Biology and Plants for Space, School of Molecular Sciences, The University of Western Australia, Crawley, WA, Australia.
Ryan ListerAustralian Research Council Centres of Excellence in Plant Energy Biology and Plants for Space, School of Molecular Sciences, The University of Western Australia, Crawley, WA, Australia. ryan.lister@uwa.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome bisulfite sequencing (WGBS) enables the detection of DNA methylation at a single base-pair resolution. The treatment of DNA with sodium bisulfite allows the discrimination of methylated and unmethylated cytosines, but the power of this technology can be limited by the input amounts of DNA and the length of DNA fragments due to DNA damage caused by the desulfonation process. Here, we describe a WGBS library preparation protocol that minimizes the loss and damage of DNA, generating high-quality libraries amplified with fewer polymerase chain reaction (PCR) cycles, and hence data with fewer PCR duplicates, from lower amounts of input material. Briefly, genomic DNA is sheared, end-repaired, 3'-adenylated, and ligated to adaptors with fewer clean-up steps in between, minimizing DNA loss. The adapter-ligated DNA is then treated with sodium bisulfite and amplified with a few PCR cycles to reach the yield needed for sequencing.

Indexed as

DNA MethylationPolymerase Chain ReactionSulfitesWhole Genome SequencingCpG IslandsDNAEpigenomeGene LibraryHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNADNAhydrogen sulfitesodium bisulfiteSulfitesDNA methylationWhole-genome bisulfite sequencing

Identifiers

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.