Evidence map›Paper›PMID 16086847›Full record

SynthesisGenome biology2005

The molecular portrait of in vitro growth by meta-analysis of gene-expression profiles.

Rickard Sandberg, Ingemar Ernberg

Abstract readMeta-Analysis
In one paragraph

Synthesis in Genome biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
  2. Review
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  16. A systems approach to infectious disease.Nature reviews. Genetics · 2020
    Review
  17. Article
  18. Single Cell Imaging of Nuclear Architecture Changes.Frontiers in cell and developmental biology · 2019
    Article
  19. Article
  20. Article
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

2 authors.

Rickard SandbergMicrobiology and Tumor Biology Center (MTC), Karolinska Institutet, S-171 77 Stockholm, Sweden. Rickard.Sandberg@mtc.ki.se
Ingemar Ernberg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCell lines as model systems of tumors and tissues are essential in molecular biology, although they only approximate the properties of in vivo cells in tissues. Cell lines have been selected under in vitro conditions for a long period of time, affecting many specific cellular pathways and processes.

resultsTo identify the transcriptional changes caused by long term in vitro selection, we performed a gene-expression meta-analysis and compared 60 tumor cell lines (of nine tissue origins) to 135 human tissue and 176 tumor tissue samples. Using significance analysis of microarrays we demonstrated that cell lines showed statistically significant differential expression of approximately 30% of the approximately 7,000 genes investigated compared to the tissues. Most of the differences were associated with the higher proliferation rate and the disrupted tissue organization in vitro. Thus, genes involved in cell-cycle progression, macromolecule processing and turnover, and energy metabolism were upregulated in cell lines, whereas cell adhesion molecules and membrane signaling proteins were downregulated.

conclusionDetailed molecular understanding of how cells adapt to the in vitro environment is important, as it will both increase our understanding of tissue organization and result in a refined molecular portrait of proliferation. It will further indicate when to use immortalized cell lines, or when it is necessary to instead use three-dimensional cultures, primary cell cultures or tissue biopsies.

Indexed as

Gene Expression ProfilingCell AdhesionCell DivisionCell LineCell Line, TumorDown-RegulationHumansReproducibility of ResultsTranscription, GeneticUp-Regulation

Identifiers

PMID16086847
PMCPMC1273632

What OpenQuestion holds

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LicenceCC BY
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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.