001     249927
005     20240118154005.0
037 _ _ |a DZNE-2023-00242
100 1 _ |a Müller, Stephan A
|0 P:(DE-2719)2810938
|b 0
|e First author
|u dzne
245 _ _ |a Dataset: Secretome Analysis of hippocampal and cortical murine neurons
260 _ _ |c 2020
|b PRoteomics IDEntifications Database
336 7 _ |a MISC
|2 BibTeX
336 7 _ |a Dataset
|b dataset
|m dataset
|0 PUB:(DE-HGF)32
|s 1705588782_9225
|2 PUB:(DE-HGF)
336 7 _ |a Chart or Table
|0 26
|2 EndNote
336 7 _ |a Dataset
|2 DataCite
336 7 _ |a DATA_SET
|2 ORCID
336 7 _ |a ResearchData
|2 DINI
520 _ _ |a To understand how cells communicate with each other, it is essential to define the cellular secretome, a collection of proteins including soluble secreted, unconventionally secreted and proteolytically-shed proteins. Quantitative methodologies to decipher the secretome are challenging, due to the requirement of large cell numbers and abundant serum proteins that interfere with the detection of low-abundant cellular secretome proteins. Here, we have use the highe perfomance secretome-protein-enrichment-with-click-sugars method (hiSPECS) for glyco-secretome analysis. We applied this method to investigate differences of hippocampal and cortical murine neurons. Additionally, we have inhibited the Alzheimer related protease BACE1 to identify potential substrates in the secretome of hippocampal neurons.
536 _ _ |a 352 - Disease Mechanisms (POF4-352)
|0 G:(DE-HGF)POF4-352
|c POF4-352
|f POF IV
|x 0
700 1 _ |a Lichtenthaler, Stefan
|0 P:(DE-2719)2181459
|b 1
|e Last author
|u dzne
787 0 _ |a Tüshaus, Johanna et.al.
|d Hoboken, NJ [u.a.] : Wiley, 2020
|i RelatedTo
|0 DZNE-2021-00213
|r
|t An optimized quantitative proteomics method establishes the cell type-resolved mouse brain secretome.
856 4 _ |u https://www.ebi.ac.uk/pride/archive/projects/PXD020503
909 C O |p VDB
|o oai:pub.dzne.de:249927
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 0
|6 P:(DE-2719)2810938
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 1
|6 P:(DE-2719)2181459
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 2020
920 1 _ |0 I:(DE-2719)1110006
|k AG Lichtenthaler
|l Neuroproteomics
|x 0
980 _ _ |a dataset
980 _ _ |a VDB
980 _ _ |a I:(DE-2719)1110006
980 _ _ |a UNRESTRICTED


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