ArticleNature chemical biology2025
Photoproximity labeling of endogenous receptors in the live mouse brain in minutes.
Article in Nature chemical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 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
12 citing papers in PubMed.
- Review
- Chemical Biology 2025: Highlights From the Ch/Bi145 Course at Caltech.Chembiochem : a European journal of chemical biology · 2026Review
- Recent Advances in Photocatalyst-Driven Protein Labeling and Proximity Mapping.Chemical record (New York, N.Y.) · 2026Review
- Global protein-ligand binding affinity profiling via photocatalytic labeling.Nature communications · 2026Article
- Proximity labeling in neuroscience: decoding molecular landscapes for precision neurology.Translational neurodegeneration · 2026Review
- Amyloid-ID: photocatalytic profiling of amyloid deposits in Alzheimer's disease tissue.Nature communications · 2026Article
- Energy-transfer photoproximity labelling in live cells using an organic cofactor.Nature chemistry · 2025Article
- Recent advances in chemical proteomics for protein profiling and targeted degradation.Current opinion in chemical biology · 2025Review
- Bridging molecular and cellular neuroscience with proximity labeling technologies.Experimental & molecular medicine · 2025Review
- Catalysis in Chemical Modification of Proteins.ChemCatChem · 2025Article
- Progress toward a comprehensive brain protein interactome.Biochemical Society transactions · 2025Review
- Photoswitching endogenous glutamate receptors in neural ensembles and single synapses in vivo.Brain stimulationArticle
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
Abstract
Understanding how protein-protein interaction networks in the brain give rise to cognitive functions necessitates their characterization in live animals. However, tools available for this purpose require potentially disruptive genetic modifications and lack the temporal resolution necessary to track rapid changes in vivo. Here we leverage affinity-based targeting and photocatalyzed singlet oxygen generation to identify neurotransmitter receptor-proximal proteins in the live mouse brain using only small-molecule reagents and minutes of photoirradiation. Our photooxidation-driven proximity labeling for proteome identification (named PhoxID) method not only recapitulated the known interactomes of three endogenous neurotransmitter receptors (α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR), inhibitory γ-aminobutyric acid type A receptor and ionotropic glutamate receptor delta-2) but also uncovered age-dependent shifts, identifying NECTIN3 and IGSF3 as developmentally regulated AMPAR-proximal proteins in the cerebellum. Overall, this work establishes a flexible and generalizable platform to study receptor microenvironments in genetically intact specimens with an unprecedented temporal resolution.
Indexed as
Identifiers
39090312What 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.