Tiago Mendes, Adrien Herledan, Florence Leroux, Benoit Deprez, Jean-Charles Lambert, Devrim Kilinc
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{"title":"利用邻近结扎法在初级神经元中筛选高含量的蛋白质相互作用调节剂","authors":"Tiago Mendes, Adrien Herledan, Florence Leroux, Benoit Deprez, Jean-Charles Lambert, Devrim Kilinc","doi":"10.1002/cpcb.100","DOIUrl":null,"url":null,"abstract":"<p>The proximity ligation assay (PLA) allows the detection and subcellular localization of protein-protein interactions with high specificity. We recently developed a high-content screening model based on primary hippocampal neurons cultured in 384-well plates and screened a library of ∼1100 compounds using a PLA between tau and bridging integrator 1, a genetic risk factor for Alzheimer's disease. We developed image-segmentation and spot-detection algorithms to delineate PLA signals in the axonal network, but not in cell bodies, from confocal images acquired via a high-throughput microscope. To compare data generated from different plates and through different experiments, we developed a computational routine to optimize the image analysis parameters for each plate and devised a range of quality-control measures to ultimately identify compounds that consistently increase or decrease our read-out. We provide the following protocols. © 2019 by John Wiley & Sons, Inc.</p><p><b>Basic Protocol 1</b>: Routine culture of rat postnatal hippocampal neurons in 384-well plates</p><p><b>Basic Protocol 2</b>: Compound incubation using the high-content screening platform</p><p><b>Support Protocol 1</b>: Preparation of intermediate plates for compound screening</p><p><b>Support Protocol 2</b>: Preparation of intermediate plates for hit validation (dose-response curves)</p><p><b>Basic Protocol 3</b>: Proximity ligation assay in 384-well plates</p><p><b>Basic Protocol 4</b>: Image acquisition and analysis</p><p><b>Support Protocol 3</b>: Optimization of analysis parameters</p><p><b>Basic Protocol 5</b>: Identification of hits</p><p><b>Basic Protocol 6</b>: Validation of hits based on dose-response curves</p>","PeriodicalId":40051,"journal":{"name":"Current Protocols in Cell Biology","volume":"86 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpcb.100","citationCount":"2","resultStr":"{\"title\":\"High-Content Screening for Protein-Protein Interaction Modulators Using Proximity Ligation Assay in Primary Neurons\",\"authors\":\"Tiago Mendes, Adrien Herledan, Florence Leroux, Benoit Deprez, Jean-Charles Lambert, Devrim Kilinc\",\"doi\":\"10.1002/cpcb.100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The proximity ligation assay (PLA) allows the detection and subcellular localization of protein-protein interactions with high specificity. 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High-Content Screening for Protein-Protein Interaction Modulators Using Proximity Ligation Assay in Primary Neurons
The proximity ligation assay (PLA) allows the detection and subcellular localization of protein-protein interactions with high specificity. We recently developed a high-content screening model based on primary hippocampal neurons cultured in 384-well plates and screened a library of ∼1100 compounds using a PLA between tau and bridging integrator 1, a genetic risk factor for Alzheimer's disease. We developed image-segmentation and spot-detection algorithms to delineate PLA signals in the axonal network, but not in cell bodies, from confocal images acquired via a high-throughput microscope. To compare data generated from different plates and through different experiments, we developed a computational routine to optimize the image analysis parameters for each plate and devised a range of quality-control measures to ultimately identify compounds that consistently increase or decrease our read-out. We provide the following protocols. © 2019 by John Wiley & Sons, Inc.
Basic Protocol 1 : Routine culture of rat postnatal hippocampal neurons in 384-well plates
Basic Protocol 2 : Compound incubation using the high-content screening platform
Support Protocol 1 : Preparation of intermediate plates for compound screening
Support Protocol 2 : Preparation of intermediate plates for hit validation (dose-response curves)
Basic Protocol 3 : Proximity ligation assay in 384-well plates
Basic Protocol 4 : Image acquisition and analysis
Support Protocol 3 : Optimization of analysis parameters
Basic Protocol 5 : Identification of hits
Basic Protocol 6 : Validation of hits based on dose-response curves