Home > Publications Database > An optimized quantitative proteomics method establishes the cell type-resolved mouse brain secretome. > print

001     154360
005     20240619121039.0
024 7 _ |a 10.15252/embj.2020105693
|2 doi
024 7 _ |a pmid:32954517
|2 pmid
024 7 _ |a pmc:PMC7560198
|2 pmc
024 7 _ |a 0261-4189
|2 ISSN
024 7 _ |a 1460-2075
|2 ISSN
024 7 _ |a altmetric:90881956
|2 altmetric
037 _ _ |a DZNE-2021-00213
041 _ _ |a English
082 _ _ |a 570
100 1 _ |a Tüshaus, Johanna
|0 P:(DE-2719)2812852
|b 0
|e First author
|u dzne
245 _ _ |a An optimized quantitative proteomics method establishes the cell type-resolved mouse brain secretome.
260 _ _ |a Hoboken, NJ [u.a.]
|c 2020
|b Wiley
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 1718784685_8362
|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
500 _ _ |a ISSN 1460-2075 not unique: **3 hits**.
520 _ _ |a To understand how cells communicate in the nervous system, it is essential to define their secretome, which is challenging for primary cells because of large cell numbers being required. Here, we miniaturized secretome analysis by developing the 'high-performance secretome protein enrichment with click sugars' (hiSPECS) method. To demonstrate its broad utility, hiSPECS was used to identify the secretory response of brain slices upon LPS-induced neuroinflammation and to establish the cell type-resolved mouse brain secretome resource using primary astrocytes, microglia, neurons, and oligodendrocytes. This resource allowed mapping the cellular origin of CSF proteins and revealed that an unexpectedly high number of secreted proteins in vitro and in vivo are proteolytically cleaved membrane protein ectodomains. Two examples are neuronally secreted ADAM22 and CD200, which we identified as substrates of the Alzheimer-linked protease BACE1. hiSPECS and the brain secretome resource can be widely exploited to systematically study protein secretion and brain function and to identify cell type-specific biomarkers for CNS diseases.
536 _ _ |a 342 - Disease Mechanisms and Model Systems (POF3-342)
|0 G:(DE-HGF)POF3-342
|c POF3-342
|f POF III
|x 0
536 _ _ |a 341 - Molecular Signaling (POF3-341)
|0 G:(DE-HGF)POF3-341
|c POF3-341
|f POF III
|x 1
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de
650 _ 7 |a CSF
|2 Other
650 _ 7 |a BACE1
|2 Other
650 _ 7 |a brain cells
|2 Other
650 _ 7 |a proteomics
|2 Other
650 _ 7 |a secretomics
|2 Other
650 _ 2 |a ADAM Proteins: cerebrospinal fluid
|2 MeSH
650 _ 2 |a ADAM Proteins: metabolism
|2 MeSH
650 _ 2 |a Amyloid Precursor Protein Secretases: antagonists & inhibitors
|2 MeSH
650 _ 2 |a Amyloid Precursor Protein Secretases: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Amyloid Precursor Protein Secretases: metabolism
|2 MeSH
650 _ 2 |a Animals
|2 MeSH
650 _ 2 |a Antigens, CD: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Antigens, CD: metabolism
|2 MeSH
650 _ 2 |a Aspartic Acid Endopeptidases: antagonists & inhibitors
|2 MeSH
650 _ 2 |a Aspartic Acid Endopeptidases: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Aspartic Acid Endopeptidases: metabolism
|2 MeSH
650 _ 2 |a Astrocytes: metabolism
|2 MeSH
650 _ 2 |a Brain: cytology
|2 MeSH
650 _ 2 |a Brain: metabolism
|2 MeSH
650 _ 2 |a Cells, Cultured
|2 MeSH
650 _ 2 |a Cerebrospinal Fluid Proteins
|2 MeSH
650 _ 2 |a Chromatography, Liquid
|2 MeSH
650 _ 2 |a Gene Ontology
|2 MeSH
650 _ 2 |a Lipopolysaccharides: pharmacology
|2 MeSH
650 _ 2 |a Mice
|2 MeSH
650 _ 2 |a Mice, Inbred C57BL
|2 MeSH
650 _ 2 |a Microglia: metabolism
|2 MeSH
650 _ 2 |a Nerve Tissue Proteins: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Nerve Tissue Proteins: metabolism
|2 MeSH
650 _ 2 |a Neurons: metabolism
|2 MeSH
650 _ 2 |a Oligodendroglia: metabolism
|2 MeSH
650 _ 2 |a Principal Component Analysis
|2 MeSH
650 _ 2 |a Proteome: metabolism
|2 MeSH
650 _ 2 |a Proteomics: methods
|2 MeSH
650 _ 2 |a Software
|2 MeSH
650 _ 2 |a Tandem Mass Spectrometry
|2 MeSH
700 1 _ |a Müller, Stephan A
|0 P:(DE-2719)2810938
|b 1
|u dzne
700 1 _ |a Kataka, Evans Sioma
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Zaucha, Jan
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Sebastian Monasor, Laura
|0 P:(DE-2719)2812269
|b 4
|u dzne
700 1 _ |a Su, Minhui
|0 P:(DE-2719)2813907
|b 5
|u dzne
700 1 _ |a Güner, Gökhan
|0 P:(DE-2719)2812025
|b 6
|u dzne
700 1 _ |a Jocher, Georg
|0 P:(DE-2719)2813355
|b 7
|u dzne
700 1 _ |a Tahirovic, Sabina
|0 P:(DE-2719)2442036
|b 8
|u dzne
700 1 _ |a Frishman, Dmitrij
|0 P:(DE-HGF)0
|b 9
700 1 _ |a Simons, Mikael
|0 P:(DE-2719)2811642
|b 10
|u dzne
700 1 _ |a Lichtenthaler, Stefan
|0 P:(DE-2719)2181459
|b 11
|e Last author
|u dzne
773 _ _ |a 10.15252/embj.2020105693
|g Vol. 39, no. 20
|0 PERI:(DE-600)1467419-1
|n 20
|p e105693
|t The EMBO journal
|v 39
|y 2020
|x 1460-2075
856 4 _ |y OpenAccess
|u https://pub.dzne.de/record/154360/files/DZNE-2021-00213.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://pub.dzne.de/record/154360/files/DZNE-2021-00213.pdf?subformat=pdfa
909 C O |o oai:pub.dzne.de:154360
|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 0
|6 P:(DE-2719)2812852
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 1
|6 P:(DE-2719)2810938
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 4
|6 P:(DE-2719)2812269
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 5
|6 P:(DE-2719)2813907
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 6
|6 P:(DE-2719)2812025
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 7
|6 P:(DE-2719)2813355
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 8
|6 P:(DE-2719)2442036
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 10
|6 P:(DE-2719)2811642
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 11
|6 P:(DE-2719)2181459
913 1 _ |a DE-HGF
|b Gesundheit
|l Erkrankungen des Nervensystems
|1 G:(DE-HGF)POF3-340
|0 G:(DE-HGF)POF3-342
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-300
|4 G:(DE-HGF)POF
|v Disease Mechanisms and Model Systems
|x 0
913 1 _ |a DE-HGF
|b Gesundheit
|l Erkrankungen des Nervensystems
|1 G:(DE-HGF)POF3-340
|0 G:(DE-HGF)POF3-341
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-300
|4 G:(DE-HGF)POF
|v Molecular Signaling
|x 1
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)0200
|2 StatID
|b SCOPUS
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2022-11-12
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b EMBO J : 2021
|d 2022-11-12
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b EMBO J : 2021
|d 2022-11-12
915 _ _ |a DEAL Wiley
|0 StatID:(DE-HGF)3001
|2 StatID
|d 2021-01-30
|w ger
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-12
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-30
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-12
920 1 _ |0 I:(DE-2719)1110006
|k AG Lichtenthaler
|l Neuroproteomics
|x 0
920 1 _ |0 I:(DE-2719)1110007
|k AG Haass
|l Molecular Neurodegeneration
|x 1
920 1 _ |0 I:(DE-2719)1140003
|k AG Tahirovic
|l Juvenile Neurodegeneration
|x 2
920 1 _ |0 I:(DE-2719)1110008
|k AG Simons
|l Molecular Neurobiology
|x 3
920 1 _ |0 I:(DE-2719)1040260
|k LIS
|l Library and Information Services (CRFS-LIS)
|x 4
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-2719)1110006
980 _ _ |a I:(DE-2719)1110007
980 _ _ |a I:(DE-2719)1140003
980 _ _ |a I:(DE-2719)1110008
980 _ _ |a I:(DE-2719)1040260
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21