ArticleiScience2019
A System for Analog Control of Cell Culture Dynamics to Reveal Capabilities of Signaling Networks.
Article in iScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Time-varying stimuli that prolong IKK activation promote nuclear remodeling and mechanistic switching of NF-κB dynamics.Nature communications · 2025Article
- Article
- Phenotypic consequences of logarithmic signaling in MAPK stress response.bioRxiv : the preprint server for biology · 2023Article
- Processing stimulus dynamics by the NF-κB network in single cells.Experimental & molecular medicine · 2023Review
- L-2L ladder digital-to-analogue converter for dynamics generation of chemical concentrations.Royal Society open science · 2023Article
- Comprehensive analysis to long non-coding RNA-mediated high expression of GNG5 correlates with better prognosis and tumor immune infiltration of colon carcinoma.International journal of clinical and experimental pathology · 2023Article
- Rate thresholds in cell signaling have functional and phenotypic consequences in non-linear time-dependent environments.Frontiers in cell and developmental biology · 2023Review
- Engineering global and local signal generators for probing temporal and spatial cellular signaling dynamics.Frontiers in bioengineering and biotechnology · 2023Review
- Insights on the NF-κB System Using Live Cell Imaging: Recent Developments and Future Perspectives.Frontiers in immunology · 2022Review
- Design and implementation of a microfluidic device capable of temporal growth factor delivery reveal filtering capabilities of the EGFR/ERK pathway.APL bioengineering · 2021Article
- A variable-gain stochastic pooling motif mediates information transfer from receptor assemblies into NF-κB.Science advances · 2021Article
- A rate threshold mechanism regulates MAPK stress signaling and survival.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Article
- Biogas Reforming to Syngas: A Review.iScience · 2020Review
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
Cellular microenvironments are dynamic. When exposed to extracellular cues, such as changing concentrations of inflammatory cytokines, cells activate signaling networks that mediate fate decisions. Exploring responses broadly to time-varying microenvironments is essential to understand the information transmission capabilities of signaling networks and how dynamic milieus influence cell fate decisions. Here, we present a gravity-driven cell culture and demonstrate that the system accurately produces user-defined concentration profiles for one or more dynamic stimuli. As proof of principle, we monitor nuclear factor-κB activation in single cells exposed to dynamic cytokine stimulation and reveal context-dependent sensitivity and uncharacterized single-cell response classes distinct from persistent stimulation. Using computational modeling, we find that cell-to-cell variability in feedback rates within the signaling network contributes to different response classes. Models are validated using inhibitors to predictably modulate response classes in live cells exposed to dynamic stimuli. These hidden capabilities, uncovered through dynamic stimulation, provide opportunities to discover and manipulate signaling mechanisms.
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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.