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pmid:31763404

A spiked human proteomic dataset from human osteogenic differentiated BMSCs and ASCs for use as a spectral library, for modelling pathways as well as protein mapping.

Mehran Dadras · Katrin Marcus · Johannes Maximilian Wagner · Christoph Wallner · Mustafa Becerikli · Henriette Jaurich · Stephanie Dittfeld · Marcus Lehnhardt · Bettina Serschnitzki · Annika Guntermann · Lukas Schilde · Björn Behr · Caroline May

Data in brief · 2019 doi:10.1016/j.dib.2019.104748

Paper

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Experiment

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A spiked human proteomic dataset from human osteogenic differentiated BMSCs and ASCs for use as a spectral library, for modelling pathways as well as protein mapping.
doi
10.1016/j.dib.2019.104748
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Mehran Dadras
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Katrin Marcus
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Johannes Maximilian Wagner
[3]
Christoph Wallner
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Mustafa Becerikli
[5]
Henriette Jaurich
[6]
Stephanie Dittfeld
[7]
Marcus Lehnhardt
[8]
Bettina Serschnitzki
[9]
Annika Guntermann
[10]
Lukas Schilde
[11]
Björn Behr
[12]
Caroline May
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Data in brief
year
2019
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This article describes a mass spectrometry data set generated from osteogenic differentiated bone marrow stromal cells (BMSCs) and adipose tissue derived stromal cells (ASCs) of a 24-year old healthy donor. Before osteogenic differentiation and performing mass spectrometric measurements cells have been characterized as mesenchymal stromal cells via FACS-analysis positive for CD90 and CD105 and negative for CD14, CD34, CD45 and CD11b and tri-lineage differentiation. After osteogenic differentiation, both cell types were homogenized and then fractionated by SDS gel electrophoresis, resulting in 12 fractions. The proteins underwent an in-gel digestion, spiked with iRT peptides and analysed by nanoHPLC-ESI-MS/MS, resulting in 24 data files. The data files generated from the described workflow are hosted in the public repository ProteomeXchange with identifier PXD015026. The presented data set can be used as a spectral library for analysis of key proteins in the context of osteogenic differentiation of mesenchymal stromal cells for regenerative applications. Moreover, these data can be used to perform comparative proteomic analysis of different mesenchymal stromal cells or stem cells upon osteogenic differentiation. In addition, these data can also be used to determine the optimal settings for measuring proteins and peptides of interest.
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A spiked human proteomic dataset from human osteogenic differentiated BMSCs and ASCs for use as a spectral library, for modelling pathways as well as protein mapping
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Mass spectrometric data set generated from osteogenic differentiated bone marrow stromal cells (BMSCs) and adipose tissue derived stromal cells (ASCs).
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Value of the Data•This data set can be taken as a spectral library for osteogenic differentiated mesenchymal stromal cells, for example, in the context of regenerative medicine and bone tissue engineering.•It can be used for data independent acquisition (DIA) based proteomic analysis of stromal/stem cells in the context of osteogenic differentiation, for example, to identify key proteins in a comparison of cells of different origin.•The data set can be also used to map proteins.•The data set can be used to optimize parameters for the identification of proteins/peptides of interest in mesenchymal stromal cells.•The data set can be used to model pathways located in mesenchymal stromal cells of bone and fat tissue undergoing osteogenic differentiation.
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