Cargando…

An optimized quantitative proteomics method establishes the cell type‐resolved mouse brain secretome

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 cl...

Descripción completa

Detalles Bibliográficos
Autores principales: Tüshaus, Johanna, Müller, Stephan A, Kataka, Evans Sioma, Zaucha, Jan, Sebastian Monasor, Laura, Su, Minhui, Güner, Gökhan, Jocher, Georg, Tahirovic, Sabina, Frishman, Dmitrij, Simons, Mikael, Lichtenthaler, Stefan F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560198/
https://www.ncbi.nlm.nih.gov/pubmed/32954517
http://dx.doi.org/10.15252/embj.2020105693
Descripción
Sumario: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.