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@ARTICLE{Nguyen:144166,
author = {C. D. L. Nguyen and S. Malchow and S. Reich and S.
Steltgens and K. V. Shuvaev and S. Loroch and C. Lorenz and
A. Sickmann and C. B. Knobbe-Thomsen and B. Tews$^*$ and J.
Medenbach and R. Ahrends},
title = {{A} sensitive and simple targeted proteomics approach to
quantify transcription factor and membrane proteins of the
unfolded protein response pathway in glioblastoma cells.},
journal = {Scientific reports},
volume = {9},
number = {1},
issn = {2045-2322},
address = {[London]},
publisher = {Macmillan Publishers Limited, part of Springer Nature},
reportid = {DKFZ-2019-01715},
pages = {8836},
year = {2019},
abstract = {Many cellular events are driven by changes in protein
expression, measurable by mass spectrometry or
antibody-based assays. However, using conventional
technology, the analysis of transcription factor or membrane
receptor expression is often limited by an insufficient
sensitivity and specificity. To overcome this limitation, we
have developed a high-resolution targeted proteomics
strategy, which allows quantification down to the lower
attomol range in a straightforward way without any prior
enrichment or fractionation approaches. The method applies
isotope-labeled peptide standards for quantification of the
protein of interest. As proof of principle, we applied the
improved workflow to proteins of the unfolded protein
response (UPR), a signaling pathway of great clinical
importance, and could for the first time detect and quantify
all major UPR receptors, transducers and effectors that are
not readily detectable via antibody-based-, SRM- or
conventional PRM assays. As transcription and translation is
central to the regulation of UPR, quantification and
determination of protein copy numbers in the cell is
important for our understanding of the signaling process as
well as how pharmacologic modulation of these pathways
impacts on the signaling. These questions can be answered
using our newly established workflow as exemplified in an
experiment using UPR perturbation in a glioblastoma cell
lines.},
cin = {V077},
ddc = {600},
cid = {I:(DE-He78)V077-20160331},
pnm = {319H - Addenda (POF3-319H)},
pid = {G:(DE-HGF)POF3-319H},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:31222112},
pmc = {pmc:PMC6586633},
doi = {10.1038/s41598-019-45237-5},
url = {https://inrepo02.dkfz.de/record/144166},
}