Evidence map›Paper›PMID 27131363›Full record

ArticleNucleic acids research2016

Single base resolution analysis of 5-hydroxymethylcytosine in 188 human genes: implications for hepatic gene expression.

Maxim Ivanov, Mart Kals, Volker Lauschke, Isabel Barragan, Philip Ewels, Max Käller, Tomas Axelsson, Janne Lehtiö, Lili Milani, Magnus Ingelman-Sundberg

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

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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 4 institutions in 2 countries.

Maxim IvanovSection of Pharmacogenetics, Department of Physiology and Pharmacology, Karolinska Institutet, Nanna Svartz väg 2, 17177 Stockholm, Sweden maxim.ivanov@ki.se.
Mart KalsEstonian Genome Center, University of Tartu, Riia 23b, 51010 Tartu, Estonia Institute of Mathematics and Statistics, University of Tartu, J. Liivi 2, 50409 Tartu, Estonia.
Volker LauschkeSection of Pharmacogenetics, Department of Physiology and Pharmacology, Karolinska Institutet, Nanna Svartz väg 2, 17177 Stockholm, Sweden.
Isabel BarraganGroup of Pharmacoepigenetics, Department of Physiology and Pharmacology, Karolinska Institutet, Von Eulers väg 8 IV, 17177 Stockholm, Sweden.
Philip EwelsDepartment of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, 10691 Stockholm, Sweden.
Max KällerScience for Life Laboratory, School of Biotechnology, Division of Gene Technology, Royal Institute of Technology, 17121 Stockholm, Sweden.
Tomas AxelssonDepartment of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, 75144 Uppsala, Sweden.
Janne LehtiöScience for Life Laboratory, Cancer Proteomics Mass Spectrometry, Department of Oncology-Pathology, Karolinska Institutet, 17121 Stockholm, Sweden.
Lili MilaniEstonian Genome Center, University of Tartu, Riia 23b, 51010 Tartu, Estonia.
Magnus Ingelman-SundbergSection of Pharmacogenetics, Department of Physiology and Pharmacology, Karolinska Institutet, Nanna Svartz väg 2, 17177 Stockholm, Sweden.
Karolinska Institutet · SEScience for Life Laboratory · SEUniversity of Tartu · EEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To improve the epigenomic analysis of tissues rich in 5-hydroxymethylcytosine (hmC), we developed a novel protocol called TAB-Methyl-SEQ, which allows for single base resolution profiling of both hmC and 5-methylcytosine by targeted next-generation sequencing. TAB-Methyl-SEQ data were extensively validated by a set of five methodologically different protocols. Importantly, these extensive cross-comparisons revealed that protocols based on Tet1-assisted bisulfite conversion provided more precise hmC values than TrueMethyl-based methods. A total of 109 454 CpG sites were analyzed by TAB-Methyl-SEQ for mC and hmC in 188 genes from 20 different adult human livers. We describe three types of variability of hepatic hmC profiles: (i) sample-specific variability at 40.8% of CpG sites analyzed, where the local hmC values correlate to the global hmC content of livers (measured by LC-MS), (ii) gene-specific variability, where hmC levels in the coding regions positively correlate to expression of the respective gene and (iii) site-specific variability, where prominent hmC peaks span only 1 to 3 neighboring CpG sites. Our data suggest that both the gene- and site-specific components of hmC variability might contribute to the epigenetic control of hepatic genes. The protocol described here should be useful for targeted DNA analysis in a variety of applications.

Indexed as

Base PairingGene Expression RegulationGenes5-MethylcytosineAdultBase SequenceChromatography, LiquidCpG IslandsDNAHumansLiverMass SpectrometryReproducibility of ResultsSequence Analysis, DNASulfites5-hydroxymethylcytosine5-MethylcytosineDNAhydrogen sulfiteSulfites

Identifiers

PMID27131363
PMCPMC5001587
OpenAlexW2342653037

What OpenQuestion holds

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LicenceCC BY-NC
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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.