ReviewCurrent opinion in structural biology2019
Optically inducible membrane recruitment and signaling systems.
Review in Current opinion in structural biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 19 citations in OpenAlex.
- Article
- A temperature-inducible protein module for control of mammalian cell fate.Nature methods · 2025Article
- A phosphorylation-controlled switch confers cell cycle-dependent protein relocalization.Nature cell biology · 2024Article
- A temperature-inducible protein module for control of mammalian cell fate.bioRxiv : the preprint server for biology · 2024Article
- A phosphorylation-controlled switch confers cell cycle-dependent protein relocalization.bioRxiv : the preprint server for biology · 2024Article
- Opticool: Cutting-edge transgenic optical tools.PLoS genetics · 2024Review
- LOV2-based photoactivatable CaMKII and its application to single synapses: Local Optogenetics.Biophysics and physicobiology · 2023Article
- Computational framework for single-cell spatiotemporal dynamics of optogenetic membrane recruitment.Cell reports methods · 2022Article
- Optophysiology: Illuminating cell physiology with optogenetics.Physiological reviews · 2022Review
- Temperature-responsive optogenetic probes of cell signaling.Nature chemical biology · 2022Article
- Designing Single-Component Optogenetic Membrane Recruitment Systems: The Rho-Family GTPase Signaling Toolbox.ACS synthetic biology · 2022Article
- Single-Component Optogenetic Tools for Inducible RhoA GTPase Signaling.Advanced biology · 2021Article
- Optogenetic Rac1 engineered from membrane lipid-binding RGS-LOV for inducible lamellipodia formation.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Optical induction of intracellular signaling by membrane-associated and integral membrane proteins allows spatiotemporally precise control over second messenger signaling and cytoskeletal rearrangements that are important to cell migration, development, and proliferation. Optogenetic membrane recruitment of a protein-of-interest to control its signaling by altering subcellular localization is a versatile means to these ends. Here, we summarize the signaling characteristics and underlying structure-function of RGS-LOV photoreceptors as single-component membrane recruitment tools that rapidly, reversibly, and efficiently carry protein cargo from the cytoplasm to the plasma membrane by a light-regulated electrostatic interaction with the membrane itself. We place the technology-relevant features of these recently described natural photosensory proteins in context of summarized protein engineering and design strategies for optically controlling membrane protein signaling.
Indexed as
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.