ArticleSTAR protocols2022
A fluorescence recovery after photobleaching protocol to measure surface diffusion of DAGLα in primary cultured cortical mouse neurons.
Article in STAR protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
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Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Discovery of Lomitapide as a Novel Mast Cell Regulatory Agent Through Chemical Library Screening.European journal of immunology · 2026Article
- An IGFBP2-derived peptide promotes neuroplasticity and rescues deficits in a mouse model of Phelan-McDermid syndrome.Molecular psychiatry · 2023Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
This protocol describes using fluorescence recovery after photobleaching (FRAP) of a superecliptic pHluorin (SEP)-diacylglycerol lipase α (DAGLα) to measure membrane-bound DAGLα mobility in dendritic shafts of primary cultured cortical mouse neurons. This could serve as an excellent tool to analyze endocannabinoid-mediated synaptic plasticity. We have used this protocol to show that DAGLα surface dynamics play an integral role in regulating the dendritic spine. We also detail how we test the qualities of generated SEP-DAGLα in HEK293T cells by FRAP assay. For complete details on the use and execution of this profile, please refer to Yoon et al. (2021a).
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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.