{"doi":"10.1101/2023.05.27.542566","title":"Dual-color GRAB sensors for monitoring spatiotemporal serotonin release <i>in vivo</i>","abstract":"Abstract The serotonergic system plays important roles in both physiological and pathological processes, and is a widely used therapeutic target for many psychiatric disorders. Although several genetically encoded GFP-based serotonin (5-HT) sensors were recently developed, their sensitivities and spectral profiles are relatively limited. To overcome these limitations, we optimized green fluorescent G-protein-coupled receptor (GPCR)-activation-based 5-HT (GRAB 5-HT ) sensors and developed a new red fluorescent GRAB 5-HT sensor. These sensors have excellent cell surface trafficking, high specificity, sensitivity, and spatiotemporal resolution, making them suitable for monitoring 5-HT dynamics in vivo . Besides recording subcortical 5-HT release in freely moving mice, we observed both uniform and gradient 5-HT release in the mouse dorsal cortex with mesoscopic imaging. Finally, we performed dual-color imaging and observed seizure-induced waves of 5-HT release throughout the cortex following calcium and endocannabinoid waves. In summary, these 5-HT sensors can offer valuable insights regarding the serotonergic system in both physiological and pathological states.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2023,"id":391009,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":8,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9489,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":552467,"name":"Jinxia Wan","orcid":"0000-0001-5942-1465","position":1,"is_corresponding":false},{"id":1017984,"name":"Guochuan Li","orcid":"0009-0000-6837-9780","position":2,"is_corresponding":false},{"id":226423,"name":"Hui Dong","orcid":"0000-0002-0563-3662","position":3,"is_corresponding":false},{"id":1024104,"name":"Xiju Xia","orcid":"0000-0001-7179-1100","position":4,"is_corresponding":false},{"id":1024103,"name":"Yipan Wang","orcid":"0000-0002-6495-1724","position":5,"is_corresponding":false},{"id":226418,"name":"Xuelin Li","orcid":"0000-0001-7393-6211","position":6,"is_corresponding":false},{"id":1161564,"name":"Chaowei Zhuang","orcid":"0000-0002-8633-0240","position":7,"is_corresponding":false},{"id":266078,"name":"Yufeng Zheng","orcid":"0000-0002-7402-9979","position":8,"is_corresponding":false},{"id":1163777,"name":"L.D. Liu","orcid":null,"position":9,"is_corresponding":false},{"id":991383,"name":"Yuqi Yan","orcid":null,"position":10,"is_corresponding":false},{"id":226422,"name":"Jiesi Feng","orcid":"0000-0003-3635-2625","position":11,"is_corresponding":false},{"id":1163270,"name":"Yulin Zhao","orcid":"0000-0003-4591-2532","position":12,"is_corresponding":false},{"id":1161565,"name":"Hao Xie","orcid":"0000-0003-0665-5553","position":13,"is_corresponding":false},{"id":151125,"name":"Yulong Li","orcid":"0000-0002-9166-9919","position":14,"is_corresponding":false},{"id":552470,"name":"Fei Deng","orcid":"0000-0002-1997-4572","position":0,"is_corresponding":true}],"reference_count":75,"raw_metadata":null,"created_at":"2026-07-19T01:18:42.653719Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}