Evidence map›Paper›PMID 37415255›Full record

ArticleBMC research notes2023

A capture methyl-seq protocol with improved efficiency and cost-effectiveness using pre-pooling and enzymatic conversion.

Keita Hasegawa, Kazuhiko Nakabayashi, Keisuke Ishiwata, Yoshifumi Kasuga, Kenichiro Hata, Mamoru Tanaka

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Tissue informative cell-free DNA methylation sites in amyotrophic lateral sclerosis.medRxiv : the preprint server for health sciences · 2024
    Article
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

6 authors at 3 institutions in 1 country.

Keita HasegawaDepartment of Maternal-Fetal Biology, National Center for Child Health and Development, 2-10-1 Okura, Setagaya-ku, Tokyo, 157-8535, Japan.
Kazuhiko NakabayashiDepartment of Maternal-Fetal Biology, National Center for Child Health and Development, 2-10-1 Okura, Setagaya-ku, Tokyo, 157-8535, Japan. nakabaya-k@ncchd.go.jp.
Keisuke IshiwataDepartment of Maternal-Fetal Biology, National Center for Child Health and Development, 2-10-1 Okura, Setagaya-ku, Tokyo, 157-8535, Japan.
Yoshifumi KasugaDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Shinjuku, Tokyo, 160-0016, Japan.
Kenichiro HataDepartment of Maternal-Fetal Biology, National Center for Child Health and Development, 2-10-1 Okura, Setagaya-ku, Tokyo, 157-8535, Japan.
Mamoru TanakaDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Shinjuku, Tokyo, 160-0016, Japan.
National Center For Child Health and Development · JPKeio University · JPGunma University · JP

Funding

the Practical Research Project for Rare/Intractable Diseases Program of the Japan Agency for Medical Research and Development (AMED) 22ek0109489h0003
6 · The paper itself

Abstract

objectiveThe opportunities for sequencing-based methylome analysis of clinical samples are increasing. To reduce its cost and the amount of genomic DNA required for library preparation, we aimed to establish a capture methyl-seq protocol, which adopts pre-pooling of multiple libraries before hybridization capture and TET2/APOBEC-mediated conversion of unmethylated cytosine to thymine.

resultsWe compared a publicly available dataset generated by the standard Agilent protocol of SureSelect XT Human Methyl-Seq Kit and our dataset obtained by our modified protocol, EMCap, that adopted sample pre-pooling and enzymatic conversion. We confirmed that the quality of DNA methylation data was comparable between the two datasets. As our protocol, EMCap, is more cost-effective and reduces the amount of input genomic DNA, it would serve as a better choice for clinical methylome sequencing.

Indexed as

DNADNA MethylationCost-Benefit AnalysisCytosineHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNACytosineDNAAPOBECCapture methyl-seqDNA methylationEnzymatic conversionTET2

Identifiers

PMID37415255
PMCPMC10326935
OpenAlexW4383378094

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.