Evidence map›Paper›PMID 18616699›Full record

ArticleCell proliferation2008

Effect of separase depletion on ionizing radiation-induced cell cycle checkpoints and survival in human lung cancer cell lines.

A Sak, I Fegers, M Groneberg, M Stuschke

Abstract read
In one paragraph

Article in Cell proliferation, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Article
  3. The hydrogen storage nanomaterial MgHBiomaterials research · 2022
    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

4 authors at 1 institution in 1 country.

A SakDepartment of Radiotherapy, University Hospital Essen, Essen, Germany. ali.sak@uni-due.de
I Fegers
M Groneberg
M Stuschke
Essen University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study is to evaluate the effect of separase depletion on cell cycle progression of irradiated and non-irradiated cells through the G(2)/M phases and consecutive cell survival. MATERIALS AND

methodsSeparase was depleted with siRNA in two human non-small cell lung carcinoma (NSCLC) cell lines. Cell cycle progression, mitotic fraction, DNA repair, apoptotic and clonogenic cell death were determined.

resultsBy depletion of endogenous separase with siRNA in NSCLCs, we showed that separase affects progression through the G(2) phase. In non-irradiated exponentially growing cells, separase depletion led to an increased G(2) accumulation from 17.2% to 29.1% in H460 and from 15.7% to 30.9% in A549 cells and a decrease in mitotic cells. Depletion of separase significantly (P < 0.01) increased the fraction of radiation-induced G(2) arrested cells 30-56 h after irradiation and led to decrease in the mitotic fraction. This was associated with increased double-strand break repair as measured by gamma-H2AX foci kinetics in H460 cells and to a lesser extent in A549 cells. In addition, a decrease in the expression of mitotic linked cell death after irradiation was found.

conclusionsThese results indicate that separase has additional targets involved in regulation of G(2) to M progression after DNA damage. Prolonged G(2) phase arrest in the absence of separase has consequences on repair of damaged DNA and cell death.

Indexed as

Radiation, IonizingCarcinoma, Non-Small-Cell LungCell CycleCell Cycle ProteinsCell DivisionCell Line, TumorCell SurvivalDNA RepairEndopeptidasesG2 PhaseHumansLung NeoplasmsMitosisRNA, MessengerSeparaseCell Cycle ProteinsEndopeptidasesESPL1 protein, humanRNA, MessengerSeparase

Identifiers

PMID18616699
PMCPMC6496864
OpenAlexW2072836191

What OpenQuestion holds

Textmetadata
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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.