2014
DOI: 10.1021/ac501380s
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Highly Multiplexed and Reproducible Ion-Current-Based Strategy for Large-Scale Quantitative Proteomics and the Application to Protein Expression Dynamics Induced by Methylprednisolone in 60 Rats

Abstract: A proteome-level time-series study of drug effects (i.e., pharmacodynamics) is critical for understanding mechanisms of action and systems pharmacology, but is challenging, because of the requirement of a proteomics method for reliable quantification of many biological samples. Here, we describe a highly reproducible strategy, enabling a global, large-scale investigation of the expression dynamics of corticosteroid-regulated proteins in livers from adrenalectomized rats over 11 time points after drug dosing (0… Show more

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Cited by 37 publications
(82 citation statements)
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“…Although previous studies have been conducted in identifying differences in the changes at the transcriptional and translational levels for one or selected few proteins, global assessment through high throughput methodologies have never tried to address this issue (Nouri-Nigjeh et al, 2014;Qu et al, 2006;Sukumaran et al, 2011). Studies that have characterized and compared genomic and proteomic data have almost always been single time-point studies that do not provide the relevant temporal information necessary to identify and characterize transcriptional and translational differences (de Godoy et al, 2008;Gry et al, 2009).…”
Section: Discussionmentioning
confidence: 99%
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“…Although previous studies have been conducted in identifying differences in the changes at the transcriptional and translational levels for one or selected few proteins, global assessment through high throughput methodologies have never tried to address this issue (Nouri-Nigjeh et al, 2014;Qu et al, 2006;Sukumaran et al, 2011). Studies that have characterized and compared genomic and proteomic data have almost always been single time-point studies that do not provide the relevant temporal information necessary to identify and characterize transcriptional and translational differences (de Godoy et al, 2008;Gry et al, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…Protein quantification was based on the area under the curve (AUC) of the ion-current peaks. A more extensive description of the experimental setup and the analytical methodology can be found in our published report (Nouri-Nigjeh et al, 2014).…”
Section: Methodsmentioning
confidence: 99%
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“…They circumvent the frequent lack of concordance between mRNA and protein expression (21,22) and could reveal biomarkers of PDAC tumor cell drug sensitivity, which genomic and transcriptomic profiling has been unable to provide (7). A unique ion current-based proteomics strategy was an important enabling factor in this study, in that it permits reproducible and reliable quantification of the large number of samples required for comprehensive temporal analysis of cellular drug responses (23,24), provides extremely-low levels of missing data (15) and the ability to quantify subtle changes in protein abundance (15,25), and has well-controlled falsepositive discovery rates (26,27). Using this strategy, we performed quantitative proteomic analysis of PDAC cells treated with birinapant and paclitaxel, alone and in combination.…”
Section: Birinapant (Tl32711) Is a Bivalent Second Mitochondrial-derimentioning
confidence: 99%
“…22,23 The digests were eluted on a 100 cm column with a 2-hr gradient with CID and ETD activation by Fusion Tribrid mass spectrometer (Thermo Scientific), using a previously described condition. 24 Raw files were searched with Proteome Discoverer (Thermo Scientific) against YAP1 sequence and Carbamidomethyl (57.021Da) was set as static modification on Cystine (C), and oxidation (15.995Da ) on methionine (M); phosphorylation (79.966 Da) on serine (S), threonine (T) and tyrosine (Y) were set as dynamic side chain modifications. The search results were merged with Scaffold (Proteome Software), and filtered to achieve a local peptide probability >95%.…”
Section: Ip-nano-lc Mass Spec Analysismentioning
confidence: 99%