ReviewNature protocols2024
In vivo identification of astrocyte and neuron subproteomes by proximity-dependent biotinylation.
Review in Nature protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed, 9 citations in OpenAlex.
- Review
- Article
- Astrocytes viewed through the lens of their proteomes and subproteomes.Nature reviews. Neuroscience · 2026Review
- Astrocyte-driven multicellular mechanisms of CNS repair and cerebroprotection.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Review
- Sex-specific systemic and brain metabolic responses to a standardized ketogenic diet in mice.Lab animal · 2026Article
- Proximity labeling in neuroscience: decoding molecular landscapes for precision neurology.Translational neurodegeneration · 2026Review
- The emerging role of astrocytes in spatial cognition, action and Alzheimer's disease.Frontiers in cellular neuroscience · 2026Review
- Review
- Article
- Bridging molecular and cellular neuroscience with proximity labeling technologies.Experimental & molecular medicine · 2025Review
- Astrocytes in aging.Neuron · 2025Review
- Step-by-Step Application of Proximity-Dependent Biotinylation Tools for Identification of Astrocyte and Neuron Subproteomes In Vivo Across the Whole Brain.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Development of perivascular astrocyte processes.Frontiers in neuroscience · 2025Review
- Astrocyte Gi-GPCR signaling corrects compulsive-like grooming and anxiety-related behaviors in Sapap3 knockout mice.Neuron · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
The central nervous system (CNS) comprises diverse and morphologically complex cells. To understand the molecular basis of their physiology, it is crucial to assess proteins expressed within intact cells. Commonly used methods utilize cell dissociation and sorting to isolate specific cell types such as neurons and astrocytes, the major CNS cells. Proteins purified from isolated cells are identified by mass spectrometry-based proteomics. However, dissociation and cell-sorting methods lead to near total loss of cellular morphology, thereby losing proteins from key relevant subcompartments such as processes, end feet, dendrites and axons. Here we provide a systematic protocol for cell- and subcompartment-specific labeling and identification of proteins found within intact astrocytes and neurons in vivo. This protocol utilizes the proximity-dependent biotinylation system BioID2, selectively expressed in either astrocytes or neurons, to label proximal proteins in a cell-specific manner. BioID2 is targeted genetically to assess the subproteomes of subcellular compartments such as the plasma membrane and sites of cell-cell contacts. We describe in detail the expression methods (variable timing), stereotaxic surgeries for expression (1-2 d and then 3 weeks), in vivo protein labeling (7 d), protein isolation (2-3 d), protein identification methods (2-3 d) and data analysis (1 week). The protocol can be applied to any area of the CNS in mouse models of physiological processes and for disease-related research.
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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.