Proteomics

Dataset Information

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Mammalian proteome changes during oxidative stress and stress of the endoplasmic reticulum


ABSTRACT: Stress due to protein misfolding in the endoplasmic reticulum affects transcription and translation, RNA and protein degradation. By integrating several large-scale datasets, we quantified transcription, translation, RNA-protein binding events, and protein levels for several thousands of genes in HeLa cells. Here, we deposit the TMT-based, quantitative proteomics data consisting of two replicates with four measured time points collected for two stress treatments, i.e. tunicamycin and hydrogen peroxide.

INSTRUMENT(S): Orbitrap Fusion Lumos, Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Hela Cell

SUBMITTER: Shuvadeep Maity  

LAB HEAD: Christine Vogel

PROVIDER: PXD008575 | Pride | 2018-10-11

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
080416_Q_jrc_Vogel_TMT01.raw Raw
080416_Q_jrc_Vogel_TMT02.raw Raw
080416_Q_jrc_Vogel_TMT03.raw Raw
080416_Q_jrc_Vogel_TMT04.raw Raw
080416_Q_jrc_Vogel_TMT05.raw Raw
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Publications


Maintaining a healthy proteome involves all layers of gene expression regulation. By quantifying temporal changes of the transcriptome, translatome, proteome, and RNA-protein interactome in cervical cancer cells, we systematically characterize the molecular landscape in response to proteostatic challenges. We identify shared and specific responses to misfolded proteins and to oxidative stress, two conditions that are tightly linked. We reveal new aspects of the unfolded protein response, includi  ...[more]

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