Evidence map›Paper›PMID 25324297›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2015

Highly sensitive targeted methylome sequencing by post-bisulfite adaptor tagging.

Fumihito Miura, Takashi Ito

Abstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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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

2 authors.

Fumihito MiuraDepartment of Biophysics and Biochemistry, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan Core Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency (JST), Higashi-ku, Fukuoka 812-8582, Japan Department of Biochemistry, Kyushu University Graduate School of Medical Sciences, Higashi-ku, Fukuoka 812-8582, Japan.
Takashi ItoDepartment of Biophysics and Biochemistry, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan Core Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency (JST), Higashi-ku, Fukuoka 812-8582, Japan Department of Biochemistry, Kyushu University Graduate School of Medical Sciences, Higashi-ku, Fukuoka 812-8582, Japan tito@med.kyushu-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current gold standard method for methylome analysis is whole-genome bisulfite sequencing (WGBS), but its cost is substantial, especially for the purpose of multi-sample comparison of large methylomes. Shotgun bisulfite sequencing of target-enriched DNA, or targeted methylome sequencing (TMS), can be a flexible, cost-effective alternative to WGBS. However, the current TMS protocol requires a considerable amount of input DNA and hence is hardly applicable to samples of limited quantity. Here we report a method to overcome this limitation by using post-bisulfite adaptor tagging (PBAT), in which adaptor tagging is conducted after bisulfite treatment to circumvent bisulfite-induced loss of intact sequencing templates, thereby enabling TMS of a 100-fold smaller amount of input DNA with far fewer cycles of polymerase chain reaction than in the current protocol. We thus expect that the PBAT-mediated TMS will serve as an invaluable method in epigenomics.

Indexed as

AnimalsCell LineDNA MethylationEpigenesis, GeneticHigh-Throughput Nucleotide SequencingHumansMiceSulfiteshydrogen sulfiteSulfitesDNA methylationmassively parallel sequencingtarget enrichment

Identifiers

PMID25324297
PMCPMC4379973

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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.