Classification of mouse B cell types using surfaceome proteotype maps

Marc van Oostrum; Maik Müller; Fabian Klein; Roland Bruderer; Hui Zhang; Patrick G.A. Pedrioli; Lukas Reiter; Panagiotis Tsapogas; Antonius Rolink; Bernd Wollscheid

doi:10.1038/s41467-019-13418-5

Classification of mouse B cell types using surfaceome proteotype maps

Marc van Oostrum, Maik Müller, Fabian Klein, Roland Bruderer, Hui Zhang, Patrick G.A. Pedrioli, Lukas Reiter, Panagiotis Tsapogas, Antonius Rolink, Bernd Wollscheid

School of Medicine

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

System-wide quantification of the cell surface proteotype and identification of extracellular glycosylation sites is challenging when samples are limited. Here, we miniaturize and automate the previously described Cell Surface Capture (CSC) technology, increasing sensitivity, reproducibility and throughput. We use this technology, which we call autoCSC, to create population-specific surfaceome maps of developing mouse B cells and use targeted flow cytometry to uncover developmental cell subpopulations.

Original language	English (US)
Article number	5734
Journal	Nature communications
Volume	10
Issue number	1
DOIs	https://doi.org/10.1038/s41467-019-13418-5
State	Published - Dec 1 2019

ASJC Scopus subject areas

Chemistry(all)
Biochemistry, Genetics and Molecular Biology(all)
Physics and Astronomy(all)

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10.1038/s41467-019-13418-5

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title = "Classification of mouse B cell types using surfaceome proteotype maps",

abstract = "System-wide quantification of the cell surface proteotype and identification of extracellular glycosylation sites is challenging when samples are limited. Here, we miniaturize and automate the previously described Cell Surface Capture (CSC) technology, increasing sensitivity, reproducibility and throughput. We use this technology, which we call autoCSC, to create population-specific surfaceome maps of developing mouse B cells and use targeted flow cytometry to uncover developmental cell subpopulations.",

author = "{van Oostrum}, Marc and Maik M{\"u}ller and Fabian Klein and Roland Bruderer and Hui Zhang and Pedrioli, {Patrick G.A.} and Lukas Reiter and Panagiotis Tsapogas and Antonius Rolink and Bernd Wollscheid",

note = "Funding Information: We acknowledge A. Leitner and R. Aebersold for sharing and maintaining their instrumentation. We are grateful to the members of the R.A. and B.W. research groups for suggestions and support at all stages of the project. We thank K. Novy for facilitating collaboration, J. R. Wyatt for text editing, J. Niebel and S. Sung for technical and T. Splettstoeser for graphical support. This work benefited from data assembled by the Immgen consortium. The following agencies are thanked for funding: ETH (grant ETH-30 17-1 and grant ETH-25 15-2) and Swiss National Science Foundation (grant 31003A_160259) for B.W. A.R. was holder of a chair in immunology endowed by L. Hoffman-La Roche Ltd, Basel. Publisher Copyright: {\textcopyright} 2019, The Author(s).",

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doi = "10.1038/s41467-019-13418-5",

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AU - van Oostrum, Marc

AU - Müller, Maik

AU - Klein, Fabian

AU - Bruderer, Roland

AU - Zhang, Hui

AU - Pedrioli, Patrick G.A.

AU - Reiter, Lukas

AU - Tsapogas, Panagiotis

AU - Rolink, Antonius

AU - Wollscheid, Bernd

N1 - Funding Information: We acknowledge A. Leitner and R. Aebersold for sharing and maintaining their instrumentation. We are grateful to the members of the R.A. and B.W. research groups for suggestions and support at all stages of the project. We thank K. Novy for facilitating collaboration, J. R. Wyatt for text editing, J. Niebel and S. Sung for technical and T. Splettstoeser for graphical support. This work benefited from data assembled by the Immgen consortium. The following agencies are thanked for funding: ETH (grant ETH-30 17-1 and grant ETH-25 15-2) and Swiss National Science Foundation (grant 31003A_160259) for B.W. A.R. was holder of a chair in immunology endowed by L. Hoffman-La Roche Ltd, Basel. Publisher Copyright: © 2019, The Author(s).

PY - 2019/12/1

Y1 - 2019/12/1

N2 - System-wide quantification of the cell surface proteotype and identification of extracellular glycosylation sites is challenging when samples are limited. Here, we miniaturize and automate the previously described Cell Surface Capture (CSC) technology, increasing sensitivity, reproducibility and throughput. We use this technology, which we call autoCSC, to create population-specific surfaceome maps of developing mouse B cells and use targeted flow cytometry to uncover developmental cell subpopulations.

AB - System-wide quantification of the cell surface proteotype and identification of extracellular glycosylation sites is challenging when samples are limited. Here, we miniaturize and automate the previously described Cell Surface Capture (CSC) technology, increasing sensitivity, reproducibility and throughput. We use this technology, which we call autoCSC, to create population-specific surfaceome maps of developing mouse B cells and use targeted flow cytometry to uncover developmental cell subpopulations.

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Classification of mouse B cell types using surfaceome proteotype maps

Abstract

ASJC Scopus subject areas

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