Evidence map›Paper›PMID 31619727›Full record

ArticleScientific reports2019

Uncovering low-level mosaicism in human embryonic stem cells using high throughput single cell shallow sequencing.

Alexander Keller, Laurentijn Tilleman, Dominika Dziedzicka, Filippo Zambelli, Karen Sermon, Filip Van Nieuwerburgh, Claudia Spits, Mieke Geens

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 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

8 authors.

Alexander KellerResearch Group Reproduction and Genetics, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium.
Laurentijn TillemanLaboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium.ORCID http://orcid.org/0000-0001-7584-1179
Dominika DziedzickaResearch Group Reproduction and Genetics, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium.
Filippo ZambelliClínica EUGIN, Travessera de les Corts 322, Barcelona, 08029, Spain.
Karen SermonResearch Group Reproduction and Genetics, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium. Karen.Sermon@vub.be.
Filip Van NieuwerburghLaboratory of Pharmaceutical Biotechnology, Ghent University, Ottergemsesteenweg 460, 9000, Ghent, Belgium.ORCID http://orcid.org/0000-0001-8815-5485
Claudia SpitsResearch Group Reproduction and Genetics, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium.
Mieke GeensResearch Group Reproduction and Genetics, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human pluripotent stem cells (hPSCs) have significant levels of low-grade genetic mosaicism, which commonly used techniques fail to detect in bulk DNA. These copy number variations remain a hurdle for the clinical translation of hPSC, as their effect in vivo ranges from unknown to dangerous, and the ability to detect them will be necessary as the field advances. As such there is need for techniques which can efficiently analyse genetic content in single cells with higher throughput and lower costs. We report here on the use of the Fluidigm C1 single cell WGA platform in combination with shallow whole genome sequencing to analyse the genetic content of single hPSCs. From a hPSC line carrying an isochromosome 20, 56 single cells were analysed and found to carry a total of 50 aberrations, across 23% of cells, which could not be detected by bulk analysis. Aberrations were predominantly segmental gains, with a fewer number of segmental losses and aneuploidies. Interestingly, 40% of the breakpoints seen here correspond to known DNA fragile sites. Our results therefore demonstrate the feasibility of single cell shallow sequencing of hPSC and further expand upon the biological importance and frequency of single cell mosaicism in hPSC.

Indexed as

DNAHigh-Throughput Nucleotide SequencingHuman Embryonic Stem CellsMosaicismSingle-Cell AnalysisCell LineHumansDNA

Identifiers

PMID31619727
PMCPMC6796059

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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.