Evidence map›Paper›PMID 32954517›Full record

ArticleThe EMBO journal2020

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

Johanna Tüshaus, Stephan A Müller, Evans Sioma Kataka, Jan Zaucha, Laura Sebastian Monasor, Minhui Su, Gökhan Güner, Georg Jocher, Sabina Tahirovic, Dmitrij Frishman and 2 more

Open access · hybridAbstract read
In one paragraph

Article in The EMBO journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
5.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 89 citations in OpenAlex.

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  14. Endo-lysosomal dysfunction and neuronal-glial crosstalk in Niemann-Pick type C disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  15. Functional characterization ofPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  16. Review
  17. Article
  18. Secretome Analyses Identify FKBP4 as aInternational journal of molecular sciences · 2024
    Article
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Johanna TüshausGerman Center for Neurodegenerative Diseases (DZNE), Munich, Germany.ORCID 0000-0001-9206-8093
Stephan A MüllerGerman Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
Evans Sioma KatakaDepartment of Bioinformatics, Wissenschaftszentrum Weihenstephan, Technical University of Munich, Freising, Germany.
Jan ZauchaDepartment of Bioinformatics, Wissenschaftszentrum Weihenstephan, Technical University of Munich, Freising, Germany.
Laura Sebastian MonasorGerman Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
Minhui SuGerman Center for Neurodegenerative Diseases (DZNE), Munich, Germany.ORCID 0000-0001-5803-6098
Gökhan GünerGerman Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
Georg JocherGerman Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
Sabina TahirovicGerman Center for Neurodegenerative Diseases (DZNE), Munich, Germany.ORCID 0000-0003-4403-9559
Dmitrij FrishmanDepartment of Bioinformatics, Wissenschaftszentrum Weihenstephan, Technical University of Munich, Freising, Germany.
Mikael SimonsGerman Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
Stefan F LichtenthalerGerman Center for Neurodegenerative Diseases (DZNE), Munich, Germany.ORCID 0000-0003-2211-2575
German Center for Neurodegenerative Diseases · DEWeihenstephan-Triesdorf University of Applied Sciences · DE

Funding

Alzheimer Forschung Initiative (AFI) 18014Bundesministerium für Bildung und Forschung (BMBF) CLINSPECT-M and JPND PMG-ADDeutsche Forschungsgemeinschaft (DFG) EXC 2145 SyNergy project ID 390857198Open access funding enabled and organized by Projekt DEAL.
6 · The paper itself

Abstract

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.

Indexed as

SoftwareADAM ProteinsAmyloid Precursor Protein SecretasesAnimalsAntigens, CDAspartic Acid EndopeptidasesAstrocytesBrainCells, CulturedCerebrospinal Fluid ProteinsChromatography, LiquidGene OntologyLipopolysaccharidesMiceMice, Inbred C57BLMicrogliaAdam22 protein, mouseADAM ProteinsAmyloid Precursor Protein SecretasesAntigens, CDantigens, CD200Aspartic Acid EndopeptidasesBace1 protein, mouseCerebrospinal Fluid ProteinsLipopolysaccharidesNerve Tissue ProteinsProteomeBACE1brain cellsCSFproteomicssecretomics

Identifiers

PMID32954517
PMCPMC7560198
OpenAlexW3087614358

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.