Dataset Information

De novo 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 sample is limiting. We miniaturized and automated the previously described Cell Surface Capture technology increasing sensitivity, reproducibility, and throughput. We used this technology, which we call autoCSC, to create population-specific surfaceome maps of developing mouse B cells and used targeted flow cytometry to uncover developmental cell subpopulations.

INSTRUMENT(S): Orbitrap Fusion Lumos, Orbitrap Fusion, Q Exactive

ORGANISM(S): Homo Sapiens (human) Mus Musculus (mouse)

TISSUE(S): Primary Cell, Cell Culture, Bone Marrow, Blood, Hela Cell

SUBMITTER: Maik Müller

LAB HEAD: Bernd Wollscheid

PROVIDER: PXD013627 | Pride | 2019-12-11

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	B-cells_DDA_library_r01.raw	Raw
	B-cells_DDA_library_r02.raw	Raw
	B-cells_DDA_library_r03.raw	Raw
	B-cells_DDA_library_r04.raw	Raw
	B-cells_DDA_library_r05.raw	Raw

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Classification of mouse B cell types using surfaceome proteotype maps.

van Oostrum Marc M Müller Maik M Klein Fabian F Bruderer Roland R Zhang Hui H Pedrioli Patrick G A PGA Reiter Lukas L Tsapogas Panagiotis P Rolink Antonius A Wollscheid Bernd B

Nature communications 20191216 1

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 subpopul ...[more]

PMID: 31844046

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