ArticleMethods in molecular biology (Clifton, N.J.)2023
Application of Optogenetics to Probe the Signaling Dynamics of Cell Fate Decision-Making.
Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Opticool: Cutting-edge transgenic optical tools.PLoS genetics · 2024Review
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of optogenetic control over signaling pathways has provided a unique opportunity to decode the role of signaling dynamics in cell fate programing. Here I present a protocol for decoding cell fates through systematic interrogation with optogenetics and visualization of signaling with live biosensors. Specifically, this is written for Erk control of cell fates using the optoSOS system in mammalian cells or Drosophila embryos, though it is intended to be adapted to apply generally for several optogenetic tools, pathways, and model systems. This guide focuses on calibrating these tools, tricks of their use, and using them to interrogate features which program cell fates.
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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.