Evidence map›Paper›PMID 25182477›Full record

ArticleNature communications2014

Genome dynamics of the human embryonic kidney 293 lineage in response to cell biology manipulations.

Yao-Cheng Lin, Morgane Boone, Leander Meuris, Irma Lemmens, Nadine Van Roy, Arne Soete, Joke Reumers, Matthieu Moisse, Stéphane Plaisance, Radoje Drmanac and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 308 papers.

0numbers the graph read from it
0cells of the map it votes in
308citing 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

308 citing papers in PubMed.

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  16. Comparative Analysis of HEK293 Genomic Variability.Biotechnology and bioengineering · 2026
    Article
  17. Article
  18. Article
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  20. Article

248 more citing papers are in PubMed but not listed here.

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

16 authors.

Yao-Cheng Lin1] Department of Plant Systems Biology, VIB, Technologiepark 927, Ghent B-9052, Belgium [2] Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 927, Ghent B-9052, Belgium [3].
Morgane Boone1] Unit for Medical Biotechnology, Inflammation Research Center, VIB, Technologiepark 927, Ghent B-9052, Belgium [2] Laboratory for Protein Biochemistry and Biomolecular Engineering, Department of Biochemistry and Microbiology, Ghent University, Ledeganckstraat 35, Ghent B-9052, Belgium [3].
Leander Meuris1] Unit for Medical Biotechnology, Inflammation Research Center, VIB, Technologiepark 927, Ghent B-9052, Belgium [2] Laboratory for Protein Biochemistry and Biomolecular Engineering, Department of Biochemistry and Microbiology, Ghent University, Ledeganckstraat 35, Ghent B-9052, Belgium [3].
Irma Lemmens1] Department of Medical Protein Research, VIB, Albert Baertsoenkaai 3, Ghent B-9000, Belgium [2] Department of Biochemistry, Faculty of Medicine and Health Sciences, Ghent University, Albert Baertsoenkaai 3, Ghent B-9000, Belgium.
Nadine Van RoyCenter for Medical Genetics, Ghent University Hospital (MRB), De Pintelaan 185, Ghent B-9000, Belgium.
Arne SoeteBioinformatics Core Facility, Inflammation Research Center, VIB, Technologiepark 927, Ghent B-9052, Belgium.
Joke Reumers1] Laboratory for Translational Genetics, Department of Oncology, KULeuven, Herestraat 49, Leuven B-3000, Belgium [2] Vesalius Research Center, VIB, Herestraat 49, Leuven B-3000, Belgium.
Matthieu Moisse1] Laboratory for Translational Genetics, Department of Oncology, KULeuven, Herestraat 49, Leuven B-3000, Belgium [2] Vesalius Research Center, VIB, Herestraat 49, Leuven B-3000, Belgium.
Stéphane PlaisanceVIB BioInformatics Training and Services (BITS), Rijvisschestraat 120, Ghent B-9052, Belgium.
Radoje Drmanac1] Complete Genomics Inc., 2071 Stierlin Court, Mountain View, California 94043, USA [2] BGI-Shenzhen, Building No. 11, Bei Shan Industrial Zone, Yantian District, Shenzhen 518083, China.
Jason ChenComplete Genomics Inc., 2071 Stierlin Court, Mountain View, California 94043, USA.
Frank SpelemanCenter for Medical Genetics, Ghent University Hospital (MRB), De Pintelaan 185, Ghent B-9000, Belgium.
Diether Lambrechts1] Laboratory for Translational Genetics, Department of Oncology, KULeuven, Herestraat 49, Leuven B-3000, Belgium [2] Vesalius Research Center, VIB, Herestraat 49, Leuven B-3000, Belgium.
Yves Van de Peer1] Department of Plant Systems Biology, VIB, Technologiepark 927, Ghent B-9052, Belgium [2] Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 927, Ghent B-9052, Belgium [3] Genomics Research Institute, University of Pretoria, Hatfield Campus, Pretoria 0028, South Africa.
Jan Tavernier1] Department of Medical Protein Research, VIB, Albert Baertsoenkaai 3, Ghent B-9000, Belgium [2] Department of Biochemistry, Faculty of Medicine and Health Sciences, Ghent University, Albert Baertsoenkaai 3, Ghent B-9000, Belgium.
Nico Callewaert1] Unit for Medical Biotechnology, Inflammation Research Center, VIB, Technologiepark 927, Ghent B-9052, Belgium [2] Laboratory for Protein Biochemistry and Biomolecular Engineering, Department of Biochemistry and Microbiology, Ghent University, Ledeganckstraat 35, Ghent B-9052, Belgium.

Funding

European Research Council 340941European Research Council 617595
6 · The paper itself

Abstract

The HEK293 human cell lineage is widely used in cell biology and biotechnology. Here we use whole-genome resequencing of six 293 cell lines to study the dynamics of this aneuploid genome in response to the manipulations used to generate common 293 cell derivatives, such as transformation and stable clone generation (293T); suspension growth adaptation (293S); and cytotoxic lectin selection (293SG). Remarkably, we observe that copy number alteration detection could identify the genomic region that enabled cell survival under selective conditions (i.c. ricin selection). Furthermore, we present methods to detect human/vector genome breakpoints and a user-friendly visualization tool for the 293 genome data. We also establish that the genome structure composition is in steady state for most of these cell lines when standard cell culturing conditions are used. This resource enables novel and more informed studies with 293 cells, and we will distribute the sequenced cell lines to this effect.

Indexed as

CryopreservationDNA Copy Number VariationsGenome, HumanTranscriptomeAdaptation, PhysiologicalBase SequenceCell ProliferationCell SurvivalClone CellsGene Expression ProfilingGenomic InstabilityHEK293 CellsHigh-Throughput Nucleotide SequencingHumansKaryotypeMolecular Sequence Data

Identifiers

PMID25182477
PMCPMC4166678

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.