ArticleCell chemical biology2016
High-Content Imaging Platform for Profiling Intracellular Signaling Network Activity in Living Cells.
Article in Cell chemical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- Reversing pathological cell states: the road less travelled can extend the therapeutic horizon.Trends in cell biology · 2023Review
- Identification of cell type-specific correlations between ERK activity and cell viability upon treatment with ERK1/2 inhibitors.The Journal of biological chemistry · 2022Article
- Single-cell imaging of ERK and Akt activation dynamics and heterogeneity induced by G-protein-coupled receptors.Journal of cell science · 2022Article
- Article
- Simultaneous readout of multiple FRET pairs using photochromism.Nature communications · 2021Article
- Multiplexed Optical Sensors in Arrayed Islands of Cells for multimodal recordings of cellular physiology.Nature communications · 2020Article
- Profiling Cell Signaling Networks at Single-cell Resolution.Molecular & cellular proteomics : MCP · 2020Review
- PlotTwist: A web app for plotting and annotating continuous data.PLoS biology · 2020Article
- Biofunctionalized Materials Featuring Feedforward and Feedback Circuits Exemplified by the Detection of Botulinum Toxin A.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019Article
- Optical tools for understanding the complexity of β-cell signalling and insulin release.Nature reviews. Endocrinology · 2018Review
- RNA Polymerase Tags To Monitor Multidimensional Protein-Protein Interactions Reveal Pharmacological Engagement of Bcl-2 Proteins.Journal of the American Chemical Society · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Essential characteristics of cellular signaling networks include a complex interconnected architecture and temporal dynamics of protein activity. The latter can be monitored by Förster resonance energy transfer (FRET) biosensors at a single-live-cell level with high temporal resolution. However, these experiments are typically limited to the use of a couple of FRET biosensors. Here, we describe a FRET-based multi-parameter imaging platform (FMIP) that allows simultaneous high-throughput monitoring of multiple signaling pathways. We apply FMIP to monitor the crosstalk between epidermal growth factor receptor (EGFR) and insulin-like growth factor-1 receptor signaling, signaling perturbations caused by pathophysiologically relevant EGFR mutations, and the effects of a clinically important MEK inhibitor (selumetinib) on the EGFR network. We expect that in the future the platform will be applied to develop comprehensive models of signaling networks and will help to investigate the mechanism of action as well as side effects of therapeutic treatments.
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Identifiers
What OpenQuestion holds
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.