Evidence map›Paper›PMID 25754700›Full record

ArticleScientific reports2015

Epigenetic biomarker to support classification into pluripotent and non-pluripotent cells.

Michael Lenz, Roman Goetzke, Arne Schenk, Claudia Schubert, Jürgen Veeck, Hatim Hemeda, Steffen Koschmieder, Martin Zenke, Andreas Schuppert, Wolfgang Wagner

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 53 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 2 institutions in 1 country.

Michael Lenz1] Joint Research Center for Computational Biomedicine, RWTH Aachen University, Aachen, Germany [2] Aachen Institute for Advanced Study in Computational Engineering Science (AICES), RWTH Aachen University, Aachen, Germany [3] Institute for Biomedical Engineering - Cell Biology, RWTH Aachen University Medical School, Aachen, Germany.
Roman GoetzkeHelmholtz-Institute for Biomedical Engineering, RWTH Aachen University Medical School, Aachen, Germany.
Arne Schenk1] Joint Research Center for Computational Biomedicine, RWTH Aachen University, Aachen, Germany [2] Bayer Technology Services GmbH, Leverkusen, Germany.
Claudia SchubertDepartment of Hematology, Oncology, Hemostaseology and Stem Cell Transplantation, RWTH Aachen University Medical School, Aachen, Germany.
Jürgen VeeckInstitute of Pathology, RWTH Aachen University Medical School, Aachen, Germany.
Hatim HemedaHelmholtz-Institute for Biomedical Engineering, RWTH Aachen University Medical School, Aachen, Germany.
Steffen KoschmiederDepartment of Hematology, Oncology, Hemostaseology and Stem Cell Transplantation, RWTH Aachen University Medical School, Aachen, Germany.
Martin Zenke1] Institute for Biomedical Engineering - Cell Biology, RWTH Aachen University Medical School, Aachen, Germany [2] Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University Medical School, Aachen, Germany.
Andreas Schuppert1] Joint Research Center for Computational Biomedicine, RWTH Aachen University, Aachen, Germany [2] Aachen Institute for Advanced Study in Computational Engineering Science (AICES), RWTH Aachen University, Aachen, Germany [3] Bayer Technology Services GmbH, Leverkusen, Germany.
Wolfgang Wagner1] Institute for Biomedical Engineering - Cell Biology, RWTH Aachen University Medical School, Aachen, Germany [2] Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University Medical School, Aachen, Germany.
RWTH Aachen University · DEInstitute for Advanced Study · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quality control of human induced pluripotent stem cells (iPSCs) can be performed by several methods. These methods are usually relatively labor-intensive, difficult to standardize, or they do not facilitate reliable quantification. Here, we describe a biomarker to distinguish between pluripotent and non-pluripotent cells based on DNA methylation (DNAm) levels at only three specific CpG sites. Two of these CpG sites were selected by their discriminatory power in 258 DNAm profiles - they were either methylated in pluripotent or non-pluripotent cells. The difference between these two β-values provides an Epi-Pluri-Score that was validated on independent DNAm-datasets (264 pluripotent and 1,951 non-pluripotent samples) with 99.9% specificity and 98.9% sensitivity. This score was complemented by a third CpG within the gene POU5F1 (OCT4), which better demarcates early differentiation events. We established pyrosequencing assays for the three relevant CpG sites and thereby correctly classified DNA of 12 pluripotent cell lines and 31 non-pluripotent cell lines. Furthermore, DNAm changes at these three CpGs were tracked in the course of differentiation of iPSCs towards mesenchymal stromal cells. The Epi-Pluri-Score does not give information on lineage-specific differentiation potential, but it provides a simple, reliable, and robust biomarker to support high-throughput classification into either pluripotent or non-pluripotent cells.

Indexed as

BiomarkersEpigenesis, GeneticCell DifferentiationCell LineCells, CulturedCpG IslandsDNA MethylationHumansInduced Pluripotent Stem CellsMesenchymal Stem CellsOctamer Transcription Factor-3BiomarkersOctamer Transcription Factor-3POU5F1 protein, human

Identifiers

PMID25754700
PMCPMC4354028
OpenAlexW2015589777

What OpenQuestion holds

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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.