Dataset Information

Rapid assessment of RNAi-mediated protein depletion by selected reaction monitoring mass spectrometry.

ABSTRACT: We describe the use of a targeted proteomics approach, selected reaction monitoring (SRM) mass spectrometry, to detect and assess RNAi-mediated depletion or "knockdown" of specific proteins from human cells and from Drosophila flies. This label-free approach does not require any specific reagents to confirm the depletion of RNAi target protein(s) in unfractionated cell or whole organism extracts. The protocol described here is general, can be developed rapidly, and can be multiplexed to detect and measure multiple proteins at once. Furthermore, the methodology can be extended to any tandem mass spectrometer, making it widely accessible. This methodology will be applicable to a wide range of basic science and clinical questions where RNAi-mediated protein depletion needs to be verified, or where differences in relative abundance of target proteins need to be rapidly assessed between samples.

SUBMITTER: Glukhova VA

PROVIDER: S-EPMC3767422 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature

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Rapid assessment of RNAi-mediated protein depletion by selected reaction monitoring mass spectrometry.

Glukhova Veronika A VA Tomazela Daniela M DM Findlay Geoffrey D GD Monnat Raymond J RJ MacCoss Michael J MJ

Journal of proteome research 20130610 7

We describe the use of a targeted proteomics approach, selected reaction monitoring (SRM) mass spectrometry, to detect and assess RNAi-mediated depletion or "knockdown" of specific proteins from human cells and from Drosophila flies. This label-free approach does not require any specific reagents to confirm the depletion of RNAi target protein(s) in unfractionated cell or whole organism extracts. The protocol described here is general, can be developed rapidly, and can be multiplexed to detect a ...[more]

PMID: 23713831

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Project description:For many research questions in modern molecular and systems biology, information about absolute protein quantities is imperative. This information includes, for example, kinetic modeling of processes, protein turnover determinations, stoichiometric investigations of protein complexes, or quantitative comparisons of different proteins within one sample or across samples. To date, the vast majority of proteomic studies are limited to providing relative quantitative comparisons of protein levels between limited numbers of samples. Here we describe and demonstrate the utility of a targeting MS technique for the estimation of absolute protein abundance in unlabeled and nonfractionated cell lysates. The method is based on selected reaction monitoring (SRM) mass spectrometry and the "best flyer" hypothesis, which assumes that the specific MS signal intensity of the most intense tryptic peptides per protein is approximately constant throughout a whole proteome. SRM-targeted best flyer peptides were selected for each protein from the peptide precursor ion signal intensities from directed MS data. The most intense transitions per peptide were selected from full MS/MS scans of crude synthetic analogs. We used Monte Carlo cross-validation to systematically investigate the accuracy of the technique as a function of the number of measured best flyer peptides and the number of SRM transitions per peptide. We found that a linear model based on the two most intense transitions of the three best flying peptides per proteins (TopPep3/TopTra2) generated optimal results with a cross-correlated mean fold error of 1.8 and a squared Pearson coefficient R(2) of 0.88. Applying the optimized model to lysates of the microbe Leptospira interrogans, we detected significant protein abundance changes of 39 target proteins upon antibiotic treatment, which correlate well with literature values. The described method is generally applicable and exploits the inherent performance advantages of SRM, such as high sensitivity, selectivity, reproducibility, and dynamic range, and estimates absolute protein concentrations of selected proteins at minimized costs.

Dataset Information

Rapid assessment of RNAi-mediated protein depletion by selected reaction monitoring mass spectrometry.

Publications

Rapid assessment of RNAi-mediated protein depletion by selected reaction monitoring mass spectrometry.

Similar Datasets

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