Hauptseite > Publikationsdatenbank > Engineering and application of a biosensor with focused ligand specificity > print

001     884040
005     20220930130250.0
024 7 _ |a 10.1038/s41467-020-18400-0
|2 doi
024 7 _ |a 2128/25800
|2 Handle
024 7 _ |a pmid:32978386
|2 pmid
024 7 _ |a WOS:000573735500001
|2 WOS
024 7 _ |a altmetric:91846328
|2 altmetric
037 _ _ |a FZJ-2020-03061
082 _ _ |a 500
100 1 _ |a Della Corte, Dennis
|0 P:(DE-Juel1)145868
|b 0
245 _ _ |a Engineering and application of a biosensor with focused ligand specificity
260 _ _ |a [London]
|c 2020
|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 1614334863_28464
|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 Cell factories converting bio-based precursors to chemicals present an attractive avenue to a sustainable economy, yet screening of genetically diverse strain libraries to identify the best-performing whole-cell biocatalysts is a low-throughput endeavor. For this reason, transcriptional biosensors attract attention as they allow the screening of vast libraries when used in combination with fluorescence-activated cell sorting (FACS). However, broad ligand specificity of transcriptional regulators (TRs) often prohibits the development of such ultra-high-throughput screens. Here, we solve the structure of the TR LysG of Corynebacterium glutamicum, which detects all three basic amino acids. Based on this information, we follow a semi-rational engineering approach using a FACS-based screening/counterscreening strategy to generate an l-lysine insensitive LysG-based biosensor. This biosensor can be used to isolate l-histidine-producing strains by FACS, showing that TR engineering towards a more focused ligand spectrum can expand the scope of application of such metabolite sensors.
536 _ _ |a 581 - Biotechnology (POF3-581)
|0 G:(DE-HGF)POF3-581
|c POF3-581
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a van Beek, Hugo
|0 P:(DE-Juel1)167342
|b 1
700 1 _ |a Syberg, Falk
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Schallmey, Marcus
|0 P:(DE-Juel1)136701
|b 3
700 1 _ |a Tobola, Felix
|0 P:(DE-Juel1)157947
|b 4
700 1 _ |a Cormann, Kai
|0 P:(DE-Juel1)167285
|b 5
700 1 _ |a Schlicker, Christine
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Baumann, Philipp Tobias
|0 P:(DE-Juel1)174462
|b 7
|u fzj
700 1 _ |a Krumbach, Karin
|0 P:(DE-Juel1)128973
|b 8
|u fzj
700 1 _ |a Sokolowsky, Sascha
|0 P:(DE-Juel1)138744
|b 9
|u fzj
700 1 _ |a Morris, Connor J.
|0 P:(DE-HGF)0
|b 10
700 1 _ |a Grünberger, Alexander
|0 P:(DE-Juel1)143612
|b 11
700 1 _ |a Hofmann, Eckhard
|0 P:(DE-HGF)0
|b 12
700 1 _ |a Schröder, Gunnar F.
|0 P:(DE-Juel1)132018
|b 13
700 1 _ |a Marienhagen, Jan
|0 P:(DE-Juel1)144031
|b 14
|e Corresponding author
|u fzj
773 _ _ |a 10.1038/s41467-020-18400-0
|g Vol. 11, no. 1, p. 4851
|0 PERI:(DE-600)2553671-0
|n 1
|p 4851
|t Nature Communications
|v 11
|y 2020
|x 2041-1723
856 4 _ |u https://juser.fz-juelich.de/record/884040/files/SN-2020-00398-b.pdf
856 4 _ |u https://juser.fz-juelich.de/record/884040/files/s41467-020-18400-0-1.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/884040/files/s41467-020-18400-0-1.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:884040
|p openaire
|p open_access
|p OpenAPC
|p driver
|p VDB
|p openCost
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)145868
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)167342
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)136701
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)157947
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)167285
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 7
|6 P:(DE-Juel1)174462
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 8
|6 P:(DE-Juel1)128973
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 9
|6 P:(DE-Juel1)138744
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 11
|6 P:(DE-Juel1)143612
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 13
|6 P:(DE-Juel1)132018
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 14
|6 P:(DE-Juel1)144031
913 1 _ |a DE-HGF
|b Key Technologies
|l Key Technologies for the Bioeconomy
|1 G:(DE-HGF)POF3-580
|0 G:(DE-HGF)POF3-581
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-500
|4 G:(DE-HGF)POF
|v Biotechnology
|x 0
913 2 _ |a DE-HGF
|b Programmungebundene Forschung
|l ohne Programm
|1 G:(DE-HGF)POF4-890
|0 G:(DE-HGF)POF4-899
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-800
|4 G:(DE-HGF)POF
|v ohne Topic
|x 0
914 1 _ |y 2020
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2020-01-16
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
|d 2020-01-16
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
|d 2020-01-16
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|f 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
|d 2020-01-16
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2020-01-16
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NAT COMMUN : 2018
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2020-01-16
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2020-01-16
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b NAT COMMUN : 2018
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-01-16
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Peer review
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-01-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2020-01-16
920 1 _ |0 I:(DE-Juel1)IBG-1-20101118
|k IBG-1
|l Biotechnologie
|x 0
920 1 _ |0 I:(DE-Juel1)IBI-7-20200312
|k IBI-7
|l Strukturbiochemie
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IBG-1-20101118
980 _ _ |a I:(DE-Juel1)IBI-7-20200312
980 _ _ |a APC
980 _ _ |a UNRESTRICTED
980 1 _ |a APC
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21