Home > Publications Database > Next generation genetically encoded fluorescent sensors for serotonin. > print

001     169134
005     20230108004105.0
024 7 _ |a 10.1038/s41467-022-35200-w
|2 doi
024 7 _ |a pmid:36473867
|2 pmid
024 7 _ |a pmc:PMC9726753
|2 pmc
024 7 _ |a altmetric:139749567
|2 altmetric
037 _ _ |a DZNE-2023-00013
041 _ _ |a English
082 _ _ |a 500
100 1 _ |a Kubitschke, Martin
|b 0
245 _ _ |a Next generation genetically encoded fluorescent sensors for serotonin.
260 _ _ |a [London]
|c 2022
|b Nature Publishing Group UK
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1672829212_30809
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a We developed a family of genetically encoded serotonin (5-HT) sensors (sDarken) on the basis of the native 5-HT1A receptor and circularly permuted GFP. sDarken 5-HT sensors are bright in the unbound state and diminish their fluorescence upon binding of 5-HT. Sensor variants with different affinities for serotonin were engineered to increase the versatility in imaging of serotonin dynamics. Experiments in vitro and in vivo showed the feasibility of imaging serotonin dynamics with high temporal and spatial resolution. As demonstrated here, the designed sensors show excellent membrane expression, have high specificity and a superior signal-to-noise ratio, detect the endogenous release of serotonin and are suitable for two-photon in vivo imaging.
536 _ _ |a 352 - Disease Mechanisms (POF4-352)
|0 G:(DE-HGF)POF4-352
|c POF4-352
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de
650 _ 7 |a Serotonin
|0 333DO1RDJY
|2 NLM Chemicals
650 _ 2 |a Serotonin
|2 MeSH
700 1 _ |a Müller, Monika
|0 P:(DE-2719)2811495
|b 1
|u dzne
700 1 _ |a Wallhorn, Lutz
|0 0000-0001-6238-7982
|b 2
700 1 _ |a Pulin, Mauro
|0 0000-0001-6255-0276
|b 3
700 1 _ |a Mittag, Manuel
|0 P:(DE-2719)2811044
|b 4
|u dzne
700 1 _ |a Pollok, Stefan
|b 5
700 1 _ |a Ziebarth, Tim
|0 0000-0001-6673-198X
|b 6
700 1 _ |a Bremshey, Svenja
|b 7
700 1 _ |a Gerdey, Jill
|0 0000-0002-4528-9421
|b 8
700 1 _ |a Claussen, Kristin Carolin
|b 9
700 1 _ |a Renken, Kim
|b 10
700 1 _ |a Groß, Juliana
|b 11
700 1 _ |a Gneiße, Pascal
|b 12
700 1 _ |a Meyer, Niklas
|b 13
700 1 _ |a Wiegert, J Simon
|0 0000-0003-0893-9349
|b 14
700 1 _ |a Reiner, Andreas
|0 0000-0003-0802-7278
|b 15
700 1 _ |a Fuhrmann, Martin
|0 P:(DE-2719)2679991
|b 16
|u dzne
700 1 _ |a Masseck, Olivia Andrea
|0 0000-0002-1541-2388
|b 17
773 _ _ |a 10.1038/s41467-022-35200-w
|g Vol. 13, no. 1, p. 7525
|0 PERI:(DE-600)2553671-0
|n 1
|p 7525
|t Nature Communications
|v 13
|y 2022
|x 2041-1723
856 4 _ |y OpenAccess
|u https://pub.dzne.de/record/169134/files/DZNE-2023-00013.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://pub.dzne.de/record/169134/files/DZNE-2023-00013.pdf?subformat=pdfa
909 C O |o oai:pub.dzne.de:169134
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 1
|6 P:(DE-2719)2811495
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 4
|6 P:(DE-2719)2811044
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 16
|6 P:(DE-2719)2679991
913 1 _ |a DE-HGF
|b Gesundheit
|l Neurodegenerative Diseases
|1 G:(DE-HGF)POF4-350
|0 G:(DE-HGF)POF4-352
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Disease Mechanisms
|x 0
914 1 _ |y 2022
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-11
915 _ _ |a Creative Commons Attribution CC BY (No Version)
|0 LIC:(DE-HGF)CCBYNV
|2 V:(DE-HGF)
|b DOAJ
|d 2021-10-13T14:44:21Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2022-11-11
915 _ _ |a IF >= 15
|0 StatID:(DE-HGF)9915
|2 StatID
|b NAT COMMUN : 2021
|d 2022-11-11
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NAT COMMUN : 2021
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2021-10-13T14:44:21Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2021-10-13T14:44:21Z
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2022-11-11
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-11
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Peer review
|d 2021-10-13T14:44:21Z
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2022-11-11
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-11
920 1 _ |0 I:(DE-2719)1011004
|k AG Fuhrmann
|l Neuroimmunology and Imaging
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-2719)1011004
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21