Evidence map›Paper›PMID 20352467›Full record

ArticleCellular and molecular life sciences : CMLS2010

Does telomerase reverse transcriptase induce functional de-differentiation of human endothelial cells?

Yvonne Baumer, Dorothee Funk, Burkhard Schlosshauer

Abstract read
In one paragraph

Article in Cellular and molecular life sciences : CMLS, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

3 authors.

Yvonne BaumerNMI, Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.
Dorothee Funk
Burkhard Schlosshauer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By counteracting the shortening of chromosome telomeres, telomerase reverse transcriptase (hTERT) prevents senescence and age-related cell death. Embryonic cells display a high telomerase activity that declines rapidly with cell differentiation. Conversely, de-differentiated tumor cells tend to re-express telomerase. In view of the controversial data on the reciprocal correlation between cell proliferation and differentiation, we questioned whether telomerase overexpression and the resulting immortalization would affect the functional phenotype of human endothelial cells. Our comparative analysis addressed (1) distinct cell adhesion to different ECM-proteins analyzed on miniaturized multisubstrate arrays (MSA), (2) protein expression of diverse markers, (3) the uptake of DiI-Ac-LDL, (4) the inflammatory response based on upregulation of ICAM-1, (5) tube formation, and (6) the barrier properties of cell monolayers in transfilter cultures. Our results, based on some 40 data sets, demonstrate that immortalization of primary endothelial cells by hTERT maintains the typical endothelial characteristics without any sign of functional de-differentiation.

Indexed as

Cell DedifferentiationCarbocyaninesCell Adhesion MoleculesCell MovementCells, CulturedCell Transformation, NeoplasticCloning, MolecularEndothelial CellsHumansIntercellular Adhesion Molecule-1Interferon-gammaLipoproteins, LDLPermeabilityProteinsTelomeraseTransduction, Genetic3,3'-dioctadecylindocarbocyanineCarbocyaninesCell Adhesion MoleculesIntercellular Adhesion Molecule-1Interferon-gammaLipoproteins, LDLProteinsTelomeraseTERT protein, humanTumor Necrosis Factor-alphaVascular Endothelial Growth Factor Avon Willebrand Factor

Identifiers

PMID20352467
PMCPMC11115536

What OpenQuestion holds

Textmetadata
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.