{"doi":"10.1101/107334","title":"Polarity sensitive probes for super resolution STED microscopy","abstract":"<jats:title>Abstract</jats:title>\n                <jats:p>The lateral organization of molecules in the cellular plasma membrane plays an important role in cellular signaling. A critical parameter for membrane molecular organization is how the membrane lipids are packed (or ordered). Polarity sensitive dyes are powerful tools to characterize such lipid membrane order, employing for example confocal and two-photon microscopy. The investigation of potential lipid nanodomains, however, requires the use of super resolution microscopy. Here, we test the performance of the polarity sensitive membrane dyes Di-4-ANEPPDHQ, Di-4-AN(F)EPPTEA and NR12S in super resolution STED microscopy. Measurements on cell-derived membrane vesicles, in the plasma membrane of live cells, and on single virus particles show the high potential of these dyes for probing nanoscale membrane heterogeneity.</jats:p>","journal":null,"year":null,"id":613868,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":970464,"name":"F Schneider","orcid":"0000-0002-9958-8961","position":1,"is_corresponding":false},{"id":1581646,"name":"V Zilles","orcid":null,"position":2,"is_corresponding":false},{"id":992839,"name":"E Garcia","orcid":null,"position":3,"is_corresponding":false},{"id":1581647,"name":"D Waithe","orcid":null,"position":4,"is_corresponding":false},{"id":1581648,"name":"A S Klymchenko","orcid":null,"position":5,"is_corresponding":false},{"id":786855,"name":"Christian Eggeling","orcid":"0000-0002-3698-5599","position":6,"is_corresponding":false},{"id":246124,"name":"Erdinç Sezgin","orcid":"0000-0002-4915-388X","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Polarity sensitive probes for super resolution STED microscopy","abstract":"<jats:title>Abstract</jats:title>\n                <jats:p>The lateral organization of molecules in the cellular plasma membrane plays an important role in cellular signaling. A critical parameter for membrane molecular organization is how the membrane lipids are packed (or ordered). Polarity sensitive dyes are powerful tools to characterize such lipid membrane order, employing for example confocal and two-photon microscopy. The investigation of potential lipid nanodomains, however, requires the use of super resolution microscopy. Here, we test the performance of the polarity sensitive membrane dyes Di-4-ANEPPDHQ, Di-4-AN(F)EPPTEA and NR12S in super resolution STED microscopy. Measurements on cell-derived membrane vesicles, in the plasma membrane of live cells, and on single virus particles show the high potential of these dyes for probing nanoscale membrane heterogeneity.</jats:p>","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"23304386","pmcid":null,"openalex_id":"https://openalex.org/W2594468922","authors":[],"funders":[{"funder_name":"UK Research and Innovation","grant_id":"G0902418","title":"Weatherall Institute of Molecular Medicine - Application for an MRC-Oxford University Translational Medicine Institute"},{"funder_name":"UK Research and Innovation","grant_id":"MR/K01577X/1","title":"MICA: Nanoscopy Oxford (NanO): Novel Super-Resolution Imaging Applied to Biomedical Sciences"}],"total_grants":2,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[],"oa_status":"green","license":"cc-by-nc","oa_locations":[{"url":"https://www.biorxiv.org/content/biorxiv/early/2017/02/09/107334.full.pdf","host_type":"repository"},{"url":"https://www.biorxiv.org/content/biorxiv/early/2017/02/09/107334.full.pdf","host_type":"repository"},{"url":"https://syndication.highwire.org/content/doi/10.1101/107334","host_type":"publisher"},{"url":"https://doi.org/10.1101/107334","host_type":"repository"},{"url":"http://www.cell.com/article/S0006349517307002/pdf","host_type":""},{"url":"https://dx.doi.org/10.1101/107334","host_type":""},{"url":"http://dx.doi.org/10.1101/107334","host_type":""}],"fields_of_study":["Lipid Membrane Structure and Behavior","Advanced Fluorescence Microscopy Techniques","Force Microscopy Techniques and Applications","0301 basic medicine","0303 health sciences","03 medical and health sciences"],"mesh_terms":[],"keywords":["STED microscopy","Super-resolution microscopy","Microscopy","Confocal microscopy","Membrane","Polarity (international relations)","Resolution (logic)","Biophysics","Vesicle","Chemistry","Fluorescence microscope","Nanotechnology","Materials science","Cell biology","Cell","Stimulated emission","Biology","Fluorescence","Optics","Scanning confocal electron microscopy","Physics","Biochemistry"],"sdg_mappings":[{"sdg_number":3,"sdg_label":"3. Good health"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-02T09:29:07.597047Z","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":[]}