ReviewCell death & disease2014
Cell-to-cell variability in cell death: can systems biology help us make sense of it all?
Review in Cell death & disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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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.
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.
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Who cites it
24 citing papers in PubMed.
- Identification of MBT3T as a new effective therapeutic option in imatinib-resistant gastrointestinal stromal tumors (GISTs).Journal of experimental & clinical cancer research : CR · 2026Article
- A morphology and secretome map of pyroptosis.Molecular biology of the cell · 2025Article
- Cellular heterogeneity in TNF/TNFR1 signalling: live cell imaging of cell fate decisions in single cells.Cell death & disease · 2024Review
- Modulating the dynamics of NFκB and PI3K enhances the ensemble-level TNFR1 signaling mediated apoptotic response.NPJ systems biology and applications · 2023Article
- Variability of fluorescence intensity distribution measured by flow cytometry is influenced by cell size and cell cycle progression.Scientific reports · 2023Article
- Next-Generation Personalized Medicine: Implementation of Variability Patterns for Overcoming Drug Resistance in Chronic Diseases.Journal of personalized medicine · 2022Review
- Ultrasensitive Detection of Enzymatic Activity Using Single Molecule Arrays.Journal of the American Chemical Society · 2020Article
- Article
- A System for Analog Control of Cell Culture Dynamics to Reveal Capabilities of Signaling Networks.iScience · 2019Article
- Chlamydia trachomatis fails to protect its growth niche against pro-apoptotic insults.Cell death and differentiation · 2019Article
- Physical properties, ligand substitution reactions, and biological activity of Co(iii)-Schiff base complexes.Dalton transactions (Cambridge, England : 2003) · 2019Article
- High Throughput Screen Identifies Interferon γ-Dependent Inhibitors of Toxoplasma gondii Growth.ACS infectious diseases · 2018Article
- Quantitative single cell analysis uncovers the life/death decision in CD95 network.PLoS computational biology · 2018Article
- The impact of non-genetic heterogeneity on cancer cell death.Critical reviews in biochemistry and molecular biology · 2018Review
- Bis(thiosemicarbazone) Complexes of Cobalt(III). Synthesis, Characterization, and Anticancer Potential.Inorganic chemistry · 2017Article
- IRES inhibition induces terminal differentiation and synchronized death in triple-negative breast cancer and glioblastoma cells.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
- Time-Resolved Study of Nanoparticle Induced Apoptosis Using Microfabricated Single Cell Arrays.Microarrays (Basel, Switzerland) · 2016Article
- Bax assembly into rings and arcs in apoptotic mitochondria is linked to membrane pores.The EMBO journal · 2016Article
- Computer modeling of ischemic stroke.Drug discovery today. Disease models · 2016Article
- Using Pharmacogenomic Databases for Discovering Patient-Target Genes and Small Molecule Candidates to Cancer Therapy.Frontiers in pharmacology · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
One of the most common observations in cell death assays is that not all cells die at the same time, or at the same treatment dose. Here, using the perspective of the systems biology of apoptosis and the context of cancer treatment, we discuss possible sources of this cell-to-cell variability as well as its implications for quantitative measurements and computational models of cell death. Many different factors, both within and outside of the apoptosis signaling networks, have been correlated with the variable responses to various death-inducing treatments. Systems biology models offer us the opportunity to take a more synoptic view of the cell death process to identify multifactorial determinants of the cell death decision. Finally, with an eye toward 'systems pharmacology', we discuss how leveraging this new understanding should help us develop combination treatment strategies to compel cancer cells toward apoptosis by manipulating either the biochemical state of cancer cells or the dynamics of signal transduction.
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Registered trials
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.