PXD013496 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | SILAC-based quantitative proteomics of endoplasmic reticulum stress |
Description | ER stress and the unfolded protein response (UPR) involve extensive proteome remodeling in many cell compartments. However, a comprehensive analysis has been lagging due to technological limitations. Here we employ SILAC-based proteomics to quantify over 6,200 proteins at increasing concentrations of tunicamycin in HeLa cells. We further compare the effects of tunicamycin to those of thapsigargin and DTT, both activating the UPR through different mechanisms. The systematic description of the proteome-wide expression changes following proteostatic stress is a resource for the scientific community, which enables to discover novel players involved the pathophysiology of disorders linked to proteostasis. Here, we identified 38 proteins, not previously linked to the UPR, whose expression increases, of which 15 would likely remediate ER stress, and the remainder may contribute to pathological outcomes. Unexpectedly, we see few strongly downregulated proteins, despite expression of the pro-apoptotic transcription factor CHOP, suggesting that IRE1-dependent mRNA decay (RIDD) has a limited contribution to ER-stress mediated cell death in our system. |
HostingRepository | PRIDE |
AnnounceDate | 2019-11-01 |
AnnouncementXML | Submission_2019-11-01_05:28:09.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Marta Murgia |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | No PTMs are included in the dataset |
Instrument | Q Exactive |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2019-04-15 01:49:41 | ID requested | |
⏵ 1 | 2019-11-01 05:28:10 | announced | |
Publication List
Itzhak DN, Sacco F, Nagaraj N, Tyanova S, Mann M, Murgia M, SILAC-based quantitative proteomics using mass spectrometry quantifies endoplasmic reticulum stress in whole HeLa cells. Dis Model Mech, 12(11):(2019) [pubmed] |
Keyword List
submitter keyword: Proteomics, SILAC, Unfolded Protein Response, Endoplasmic Reticulum stress, Tunicamycin |
Contact List
Marta Murgia |
contact affiliation | Max-Planck-Institute of Biochemistry, Martinsried, Germany. Department of Biomedical Sciences, University of Padova, Italy |
contact email | mmurgia@biochem.mpg.de |
lab head | |
Marta Murgia |
contact affiliation | MPI Biochemistry |
contact email | mmurgia@biochem.mpg.de |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD013496
- Label: PRIDE project
- Name: SILAC-based quantitative proteomics of endoplasmic reticulum stress