Skip to main content
Journal cover image

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.

Publication ,  Journal Article
Shroff, K; Caffall, ZF; Soderblom, EJ; Waitt, G; Ho, T; Calakos, N
Published in: Data Brief
December 2021

Here, we present quantitative subcellular compartment-specific proteomic data from wildtype and DYT-TOR1A heterozygous mouse embryonic fibroblasts (MEFs) basally and following thapsigargin (Tg) treatment [1]. In this experiment, we generated MEFs from wild type (WT) and a heterozygous DYT-TOR1A mouse model of dystonia. Subsequently, these MEF cultures were treated with either 1 µM Tg or dimethylsulfoxide vehicle (Veh) for six hours. Following treatment, the cells were fractionated into nuclear and cytosolic fractions. Liquid chromatography, tandem mass spectrometry (LC/MS/MS)-based proteomic profiling identified 65,056 unique peptides and 4801 unique proteins across all samples. The data presented here provide subcellular compartment-specific proteomic information within a dystonia model system both basally and under cellular stress. These data can inform future experiments focused on studying the function of TorsinA, the protein encoded by TOR1A, and its potential role in nucleocytoplasmic transport and proteostasis. In addition, the information in this article can also inform future mechanistic studies investigating the relationship between DYT-TOR1A dystonia and the cellular stress response to advance understanding of the pathogenesis of dystonia.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Data Brief

DOI

EISSN

2352-3409

Publication Date

December 2021

Volume

39

Start / End Page

107609

Location

Netherlands
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Shroff, K., Caffall, Z. F., Soderblom, E. J., Waitt, G., Ho, T., & Calakos, N. (2021). 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. Data Brief, 39, 107609. https://doi.org/10.1016/j.dib.2021.107609
Shroff, Kunal, Zachary F. Caffall, Erik J. Soderblom, Greg Waitt, Tricia Ho, and Nicole Calakos. “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.Data Brief 39 (December 2021): 107609. https://doi.org/10.1016/j.dib.2021.107609.
Journal cover image

Published In

Data Brief

DOI

EISSN

2352-3409

Publication Date

December 2021

Volume

39

Start / End Page

107609

Location

Netherlands