| Literature DB >> 31372383 |
Simone Steinbach1, Bettina Serschnitzki1, Manfred Gerlach2, Katrin Marcus1, Caroline May1.
Abstract
This article describes a mass spectrometric data set generated from human substantia nigra tissue that was spiked with iRT peptides. The data set can be used as a spectral library for analysis of the human brain; especially for analysis of human substantia nigra, for example, in the context of Parkinson's disease. Obtaining a sufficient amount of high-quality substantia nigra tissue is the key limiting factor for establishing a brain region-specific spectral library. Hence, combining existing spectral libraries for data-independent acquisition analysis (DIA) can overcome this major limitation. Moreover, these data can be used to map brain region-specific proteins and to model brain region-specific pathways. Both can improve our understanding of the functioning of the brain in greater depth. In addition, these data can also be used to determine the optimal settings for measuring proteins and peptides of interest. To create the substantia nigra-specific spectral library, the tissue was first homogenized and then fractionated via different types of SDS gel electrophoresis, resulting in 18 fractions. These fractions were analysed in triplicate by nanoHPLC-ESI-MS/MS, resulting in 54 data files. The data files generated from the described workflow are hosted in the public repository ProteomeXchange with the identifier PXD011076.Entities:
Year: 2019 PMID: 31372383 PMCID: PMC6660433 DOI: 10.1016/j.dib.2019.103711
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Fig. 1Graphical workflow overview.Substantia nigra tissue was first homogenized, and the protein concentration in the resulting lysate was determined. For fractionation of the substantia nigra lysate, the lysate was completely fractionated (18 fractions) using two types of gradient SDS gels (3–8% Tris-acetate and 4–12% Bis-tris) to cover a width range of molecular weights. In total, 54 samples (3 replicates of each fraction) were generated for nanoHPLC-ESI-MS/MS analysis.
Solvent gradient profile for the elution of amino acids.
| Time (min) | % Solvent A | % Solvent B |
|---|---|---|
| 0 | 99.9 | 0.1 |
| 0.54 | 99.9 | 0.1 |
| 5.74 | 90.9 | 0.1 |
| 7.74 | 78.8 | 21.2 |
| 8.04 | 40.4 | 59.6 |
| 8.05 | 10.0 | 90 |
| 8.64 | 10.0 | 90 |
| 8.73 | 99.9 | 0.1 |
| 9.50 | 99.9 | 0.1 |
Solvent gradient profile for the elution of peptides.
| Time (min) | % Solvent B | |
|---|---|---|
| 0 | 5 | |
| 7 | 5 | |
| 20 | 8 | |
| 30 | 10 | |
| 45 | 12 | |
| 75 | 15 | |
| 105 | 19 | |
| 113 | 21 | |
| 118 | 23 | |
| 121 | 25 | |
| 124 | 27 | |
| 127 | 30 | |
| 129 | 34 | |
| 132 | 37 | |
| 136 | 43 | |
| 142 | 52 | |
| 148 | 60 | |
| 149 | 95 | |
| 154 | 95 | |
| 155 | 5 | |
| 160 | 5 | |
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| Data accessibility | The data files are hosted in the public repository ProteomeXchange with identifier PXD011076. |
| Related research article |
The provided data set represents a standard proteomic data set of human The spiked data set can be used as a spectral library for human brain tissue analysis in DIA mode, for example, in the context of Parkinson’s disease. The library can be used to map proteins in different brain regions. The library may help to determine optimized parameters for the identification of proteins/peptides of interest. The library can be used to model pathways located within specific brain regions. |