Dataset on the mass spectrometry-based proteomic profiling of mouse embryonic fibroblasts from a wild type and DYT-TOR1A mouse model of dystonia, basally and during stress

Published: 20 September 2021| Version 1 | DOI: 10.17632/58wghvz7sz.1
Contributors:
Kunal Shroff,
,
,
,
,

Description

Here, we present quantitative subcellular compartment-specific proteomic data from three wild type and three DYT-TOR1A mouse embryonic fibroblast (MEF) cell lines basally and following thapsigargin treatment. Primary MEF cultures were generated from wild type and a heterozygous DYT-TOR1A mouse model of dystonia. These MEF cultures were subsequently treated with either 1 µM thapsigargin or dimethylsulfoxide vehicle for six hours. Following treatment, cells were fractionated into nuclear and cytosolic fractions which were then subjected to liquid chromatography, tandem mass spectrometry-based proteomic profiling. Proteomic analysis identified 65,056 unique peptides and 4801 unique proteins across all samples. In this dataset, we present the raw unprocessed mass spectrometry peaks from each sample, the raw peptide counts for each identified peptide within each sample, the raw protein counts for each identified protein within each sample, and the normalized protein counts for each identified protein within each sample.

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Steps to reproduce

See associated Data In Brief article for complete methodology for data acquisition

Institutions

Duke University

Categories

Mass Spectrometry, Proteomics, Dystonia, Subcellular Localisation, Cellular Stress Response

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