ArticleScientific reports2019
Generating kinetic environments to study dynamic cellular processes in single cells.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 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
- Inverse reconstruction of model cells: Extracting structural and molecular insights through infrared spectroscopic cytology.PloS one · 2025Article
- Modelling patient drug exposure profiles in vitro to narrow the valley of death.Nature reviews bioengineering · 2024Article
- Dynamic hydrogen peroxide levels reveal a rate-dependent sensitivity in B-cell lymphoma signaling.Scientific reports · 2024Article
- Phenotypic consequences of logarithmic signaling in MAPK stress response.bioRxiv : the preprint server for biology · 2023Article
- Rate thresholds in cell signaling have functional and phenotypic consequences in non-linear time-dependent environments.Frontiers in cell and developmental biology · 2023Review
- The alternative proteome in neurobiology.Frontiers in cellular neuroscience · 2022Review
- Building predictive signaling models by perturbing yeast cells with time-varying stimulations resulting in distinct signaling responses.STAR protocols · 2021Article
- Kinetics of osmotic stress regulate a cell fate switch of cell survival.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
- Optimal Design of Single-Cell Experiments within Temporally Fluctuating Environments.Complexity · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Cells of any organism are consistently exposed to changes over time in their environment. The kinetics by which these changes occur are critical for the cellular response and fate decision. It is therefore important to control the temporal changes of extracellular stimuli precisely to understand biological mechanisms in a quantitative manner. Most current cell culture and biochemical studies focus on instant changes in the environment and therefore neglect the importance of kinetic environments. To address these shortcomings, we developed two experimental methodologies to precisely control the environment of single cells. These methodologies are compatible with standard biochemistry, molecular, cell and quantitative biology assays. We demonstrate applicability by obtaining time series and time point measurements in both live and fixed cells. We demonstrate the feasibility of the methodology in yeast and mammalian cell culture in combination with widely used assays such as flow cytometry, time-lapse microscopy and single-molecule RNA Fluorescent in-situ Hybridization (smFISH). Our experimental methodologies are easy to implement in most laboratory settings and allows the study of kinetic environments in a wide range of assays and different cell culture conditions.
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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.