Evidence map›Paper›PMID 28056787›Full record

ArticleBMC genomics2017

Software updates in the Illumina HiSeq platform affect whole-genome bisulfite sequencing.

Hidehiro Toh, Kenjiro Shirane, Fumihito Miura, Naoki Kubo, Kenji Ichiyanagi, Katsuhiko Hayashi, Mitinori Saitou, Mikita Suyama, Takashi Ito, Hiroyuki Sasaki

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 54 citations in OpenAlex.

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  9. Post-bisulfite Adaptor Tagging Based on an ssDNA Ligation Technique (tPBAT).Methods in molecular biology (Clifton, N.J.) · 2023
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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

10 authors at 2 institutions in 1 country.

Hidehiro TohDivision of Epigenomics and Development, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Kenjiro ShiraneDivision of Epigenomics and Development, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Fumihito MiuraDepartment of Biochemistry, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan.
Naoki KuboDivision of Epigenomics and Development, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Kenji IchiyanagiDivision of Epigenomics and Development, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Katsuhiko HayashiDepartment of Stem Cell Biology and Medicine, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan.
Mitinori SaitouDepartment of Anatomy and Cell Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Mikita SuyamaDivision of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Takashi ItoDepartment of Biochemistry, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan.
Hiroyuki SasakiDivision of Epigenomics and Development, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan. hsasaki@bioreg.kyushu-u.ac.jp.
Kyushu University · JPKyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethylation of cytosine in genomic DNA is a well-characterized epigenetic modification involved in many cellular processes and diseases. Whole-genome bisulfite sequencing (WGBS), such as MethylC-seq and post-bisulfite adaptor tagging sequencing (PBAT-seq), uses the power of high-throughput DNA sequencers and provides genome-wide DNA methylation profiles at single-base resolution. However, the accuracy and consistency of WGBS outputs in relation to the operating conditions of high-throughput sequencers have not been explored.

resultsWe have used the Illumina HiSeq platform for our PBAT-based WGBS, and found that different versions of HiSeq Control Software (HCS) and Real-Time Analysis (RTA) installed on the system provided different global CpG methylation levels (approximately 5% overall difference) for the same libraries. This problem was reproduced multiple times with different WGBS libraries and likely to be associated with the low sequence diversity of bisulfite-converted DNA. We found that HCS was the major determinant in the observed differences. To determine which version of HCS is most suitable for WGBS, we used substrates with predetermined CpG methylation levels, and found that HCS v2.0.5 is the best among the examined versions. HCS v2.0.12 showed the poorest performance and provided artificially lower CpG methylation levels when 5-methylcytosine is read as guanine (first read of PBAT-seq and second read of MethylC-seq). In addition, paired-end sequencing of low diversity libraries using HCS v2.2.38 or the latest HCS v2.2.58 was greatly affected by cluster densities.

conclusionsSoftware updates in the Illumina HiSeq platform can affect the outputs from low-diversity sequencing libraries such as WGBS libraries. More recent versions are not necessarily the better, and HCS v2.0.5 is currently the best for WGBS among the examined HCS versions. Thus, together with other experimental conditions, special care has to be taken on this point when CpG methylation levels are to be compared between different samples by WGBS.

Indexed as

DNA MethylationEpigenesis, GeneticEpigenomicsGenomeHigh-Throughput Nucleotide SequencingSoftware5-MethylcytosineAnimalsCell LineCluster AnalysisCpG IslandsHumansMiceSequence Analysis, DNA5-MethylcytosineDNA methylationHiSeq control softwareIllumina HiSeq platformWhole-genome bisulfite sequencing

Identifiers

PMID28056787
PMCPMC5217569
OpenAlexW2571350069

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.