| Literature DB >> 31763404 |
Mehran Dadras1, Katrin Marcus2, Johannes Maximilian Wagner1, Christoph Wallner1, Mustafa Becerikli1, Henriette Jaurich1, Stephanie Dittfeld1, Marcus Lehnhardt1, Bettina Serschnitzki2, Annika Guntermann2, Lukas Schilde2, Björn Behr1, Caroline May2.
Abstract
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.Entities:
Keywords: Adipose derived stromal cells; Bone marrow derived stromal cells; Mesenchymal stromal cells; Osteogenesis; Osteogenic differentiation; Proteome; Spectral peptide library
Year: 2019 PMID: 31763404 PMCID: PMC6864131 DOI: 10.1016/j.dib.2019.104748
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Fig. 1This illustration shows the workflow overview. BMSCs and ASCs derived from subcutaneous fat and spongious bone were isolated, expanded, characterized and then underwent osteogenic differentiation in passage 3. Both cell types were homogenised and then fractionated by SDS gel electrophoresis. The proteins underwent an in-gel digestion with trypsin, spiked with iRT peptides and measured by a data-dependent mass spectrometric approach (DDA).
Solvent gradient profile for the elution of peptides.
| time (min) | % solvent B |
|---|---|
| 0 | 5 |
| 7 | 5 |
| 15 | 8 |
| 110 | 25 |
| 139 | 40 |
| 140 | 95 |
| 146 | 5 |
| 150 | 5 |
Specifications Table
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| Data format | |
| Experimental factors | |
| Experimental features | Osteogenic differentiated BMSCs and ASCs |
| Data source location | |
| Data accessibility |
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. |