Evidence map›Paper›PMID 30256782›Full record

ArticlePLoS computational biology2018

Quantitative single cell analysis uncovers the life/death decision in CD95 network.

Jörn H Buchbinder, Dennis Pischel, Kai Sundmacher, Robert J Flassig, Inna N Lavrik

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

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  11. Cell death in pancreatic cancer: from pathogenesis to therapy.Nature reviews. Gastroenterology & hepatology · 2021
    Review
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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

5 authors at 3 institutions in 2 countries.

Jörn H BuchbinderTranslational Inflammation Research, Otto von Guericke University, Magdeburg, Germany.
Dennis PischelProcess Systems Engineering, Otto von Guericke University, Magdeburg, Germany.
Kai SundmacherProcess Systems Engineering, Otto von Guericke University, Magdeburg, Germany.
Robert J FlassigProcess Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.
Inna N LavrikTranslational Inflammation Research, Otto von Guericke University, Magdeburg, Germany.ORCID 0000-0002-9324-309X
Max Planck Institute for Dynamics of Complex Technical Systems · DEOtto-von-Guericke-Universität Magdeburg · DEInstitute of Cytology and Genetics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CD95/Fas/APO-1 is a member of the death receptor family that triggers apoptotic and anti-apoptotic responses in particular, NF-κB. These responses are characterized by a strong heterogeneity within a population of cells. To determine how the cell decides between life and death we developed a computational model supported by imaging flow cytometry analysis of CD95 signaling. Here we show that CD95 stimulation leads to the induction of caspase and NF-κB pathways simultaneously in one cell. The related life/death decision strictly depends on cell-to-cell variability in the formation of the death-inducing complex (DISC) on one side (extrinsic noise) vs. stochastic gene expression of the NF-κB pathway on the other side (intrinsic noise). Moreover, our analysis has uncovered that the stochasticity in apoptosis and NF-kB pathways leads not only to survival or death of a cell, but also causes a third type of response to CD95 stimulation that we termed ambivalent response. Cells in the ambivalent state can undergo cell death or survive which was subsequently validated by experiments. Taken together, we have uncovered how these two competing pathways control the fate of a cell, which in turn plays an important role for development of anti-cancer therapies.

Indexed as

ApoptosisCaspase 3CaspasesCell LineageComputer Simulationfas ReceptorFlow CytometryHeLa CellsHumansModels, TheoreticalNF-kappa BSignal TransductionSingle-Cell AnalysisCaspase 3Caspasesfas ReceptorNF-kappa B

Identifiers

PMID30256782
PMCPMC6175528
OpenAlexW2894489702

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.