ArticleMethods in molecular biology (Clifton, N.J.)2022
Low Input Genome-Wide DNA Methylation Analysis with Minimal Library Amplification.
Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- DNMT1 modulation of RASSF1A methylation enhances breast cancer brain metastasis.Cell death & disease · 2025Article
- Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Whole genome bisulfite sequencing (WGBS) is a high-throughput DNA sequencing-based technique that is used to determine genome-wide DNA methylation patterns at base resolution. Library construction by post-bisulfite adaptor tagging (PBAT ) extends the application of WGBS to several hundred cells and minimizes the required number of library amplification cycles. We herein describe a PBAT protocol to prepare WGBS libraries from 200 cells and introduce the outline of a downstream bioinformatic analysis. The prepared library can typically generate 800 million sequencing reads, which is sufficient to cover the human and mouse genomes approximately 15 times, using the Illumina NovaSeq 6000 sequencing system.
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Registered trials
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.