scispace - formally typeset
Journal ArticleDOI

mProphet: automated data processing and statistical validation for large-scale SRM experiments

Reads0
Chats0
TLDR
In this article, the authors present mProphet, a fully automated system that computes accurate error rates for the identification of targeted peptides in SRM data sets and maximizes specificity and sensitivity by combining relevant features in the data into a statistical model.
Abstract
Selected reaction monitoring (SRM) is a targeted mass spectrometric method that is increasingly used in proteomics for the detection and quantification of sets of preselected proteins at high sensitivity, reproducibility and accuracy. Currently, data from SRM measurements are mostly evaluated subjectively by manual inspection on the basis of ad hoc criteria, precluding the consistent analysis of different data sets and an objective assessment of their error rates. Here we present mProphet, a fully automated system that computes accurate error rates for the identification of targeted peptides in SRM data sets and maximizes specificity and sensitivity by combining relevant features in the data into a statistical model.

read more

Citations
More filters
Journal ArticleDOI

Parallel reaction monitoring using quadrupole-Orbitrap mass spectrometer: Principle and applications.

TL;DR: Various implementation schemes of parallel reaction monitoring (PRM) are described and their benefits and limitations in terms of quantification performance and confidence in analyte identification are discussed.
Journal ArticleDOI

PASSEL: The PeptideAtlas SRMexperiment library

TL;DR: The PeptideAtlas SRM Experiment Library (PASSEL) allows researchers to easily submit proteomic data sets generated by SRM and will help in the assessment of proteotypic peptide performance in a wide array of samples containing the same peptide, as well as across multiple experimental protocols.
Journal ArticleDOI

Using data-independent, high-resolution mass spectrometry in protein biomarker research: perspectives and clinical applications.

TL;DR: This work describes and review data‐independent acquisition strategies and their recent use in clinically oriented studies, and provides a detailed guide for the implementation of SWATH‐MS (where SWATH is sequential window acquisition of all theoretical mass spectra)—one of the data‐ independent strategies that have gained wide application of late.
Journal ArticleDOI

Analysis of Major Histocompatibility Complex (MHC) Immunopeptidomes Using Mass Spectrometry

TL;DR: In this article, the authors summarize established isolation techniques as well as emerging mass spectrometry-based platforms (i.e., SWATH-MS) to identify and quantify MHC-associated peptides.
References
More filters
Journal ArticleDOI

Statistical significance for genomewide studies

TL;DR: This work proposes an approach to measuring statistical significance in genomewide studies based on the concept of the false discovery rate, which offers a sensible balance between the number of true and false positives that is automatically calibrated and easily interpreted.
Journal ArticleDOI

Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

TL;DR: SILAC is a simple, inexpensive, and accurate procedure that can be used as a quantitative proteomic approach in any cell culture system and is applied to the relative quantitation of changes in protein expression during the process of muscle cell differentiation.
Journal ArticleDOI

Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

TL;DR: A statistical model is presented to estimate the accuracy of peptide assignments to tandem mass (MS/MS) spectra made by database search applications such as SEQUEST, demonstrating that the computed probabilities are accurate and have high power to discriminate between correctly and incorrectly assigned peptides.
Journal ArticleDOI

A statistical model for identifying proteins by tandem mass spectrometry.

TL;DR: A statistical model is presented for computing probabilities that proteins are present in a sample on the basis of peptides assigned to tandem mass (MS/MS) spectra acquired from a proteolytic digest of the sample, and it is shown to produce probabilities that are accurate and have high power to discriminate correct from incorrect protein identifications.
Journal ArticleDOI

Skyline: an open source document editor for creating and analyzing targeted proteomics experiments

TL;DR: The Skyline user interface simplifies the development of mass spectrometer methods and the analysis of data from targeted proteomics experiments performed using selected reaction monitoring (SRM).
Related Papers (5)