Evidence map›Paper›PMID 32497127›Full record

ArticlePLoS computational biology2020

Sample-based modeling reveals bidirectional interplay between cell cycle progression and extrinsic apoptosis.

Dirke Imig, Nadine Pollak, Frank Allgöwer, Markus Rehm

Abstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Live-cell imaging and mathematical analysis of the "community effect" in apoptosis.Apoptosis : an international journal on programmed cell death · 2023
    Article
  2. 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.

Dirke ImigUniversity of Stuttgart, Institute for Systems Theory and Automatic Control, Pfaffenwaldring 9, Stuttgart, Germany.ORCID 0000-0002-1884-942X
Nadine PollakUniversity of Stuttgart, Institute of Cell Biology and Immunology, Allmandring 31, Stuttgart, Germany.ORCID 0000-0002-0718-2156
Frank AllgöwerUniversity of Stuttgart, Institute for Systems Theory and Automatic Control, Pfaffenwaldring 9, Stuttgart, Germany.ORCID 0000-0002-3702-3658
Markus RehmUniversity of Stuttgart, Institute of Cell Biology and Immunology, Allmandring 31, Stuttgart, Germany.ORCID 0000-0001-6149-9261

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Apoptotic cell death can be initiated through the extrinsic and intrinsic signaling pathways. While cell cycle progression promotes the responsiveness to intrinsic apoptosis induced by genotoxic stress or spindle poisons, this has not yet been studied conclusively for extrinsic apoptosis. Here, we combined fluorescence-based time-lapse monitoring of cell cycle progression and cell death execution by long-term time-lapse microscopy with sampling-based mathematical modeling to study cell cycle dependency of TRAIL-induced extrinsic apoptosis in NCI-H460/geminin cells. In particular, we investigated the interaction of cell death timing and progression of cell cycle states. We not only found that TRAIL prolongs cycle progression, but in reverse also that cell cycle progression affects the kinetics of TRAIL-induced apoptosis: Cells exposed to TRAIL in G1 died significantly faster than cells stimulated in S/G2/M. The connection between cell cycle state and apoptosis progression was captured by developing a mathematical model, for which parameter estimation revealed that apoptosis progression decelerates in the second half of the cell cycle. Similar results were also obtained when studying HCT-116 cells. Our results therefore reject the null hypothesis of independence between cell cycle progression and extrinsic apoptosis and, supported by simulations and experiments of synchronized cell populations, suggest that unwanted escape from TRAIL-induced apoptosis can be reduced by enriching the fraction of cells in G1 phase. Besides novel insight into the interrelation of cell cycle progression and extrinsic apoptosis signaling kinetics, our findings are therefore also relevant for optimizing future TRAIL-based treatment strategies.

Indexed as

ApoptosisCell CycleSignal TransductionAlgorithmsBayes TheoremCell DivisionCell Line, TumorCell ProliferationGemininHCT116 CellsHumansKineticsModels, StatisticalReceptors, TNF-Related Apoptosis-Inducing LigandGemininReceptors, TNF-Related Apoptosis-Inducing Ligand

Identifiers

PMID32497127
PMCPMC7271993

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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.